About Wolt

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing-from how we plan and create, to how we execute, personalize, and scale.

As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams.

This role goes beyond managing technology-it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization.

The role reports directly to the Senior Director of Growth Marketing & Innovation.

What you’ll be doing AI Strategy & Marketing Transformation

• Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows.
• Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale.
• Drive the transition from tool-based execution to AI-enabled operating models across marketing functions.

AI Product Thinking & Roadmap Ownership

• Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows.
• Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability.
• Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing.

Agentic AI & Workflow Automation

• Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization.
• Ensure solutions are embedded into real workflows-not standalone tools.
• Continuously identify and scale automation opportunities across the organization.

Cross-Functional Leadership

• Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions.
• Ensure alignment between marketing needs, technical capabilities, and long-term system architecture.
• Influence without direct authority, driving execution through strong cross-functional collaboration.

AI Adoption & Enablement

• Own the global adoption of AI solutions across Marketing.
• Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage.
• Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities.
• Drive cultural change toward AI-first ways of working.

Governance, Quality & Compliance

• Ensure AI solutions meet standards for quality, consistency, and brand alignment.
• Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements.
• Define guardrails, escalation paths, and approval processes for AI-driven workflows.

Vendor & Ecosystem Strategy

• Evaluate and manage external AI tools, platforms, and partners.
• Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity.
• Maximize value from vendors through structured evaluation and performance management.

Our humble expectations

• 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments.
• Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions.
• Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands on in system configuration or engineering
• Hands on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows.
• Experience working cross functionally with Product, Engineering, Data, and Analytics teams.
• Proven ability to operate in ambiguous environments and build structure where none exists.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience building or leading small, high impact teams.
• Passion for AI innovation and its application to real world operational challenges.

Nice to have:

• Experience with marketing platforms (CRM, automation, ad tech)
• Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems
• Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust)
• Basic data fluency (e.g., SQL or analytics tools)

What we offer

This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won’t just be managing existing software; you’ll be the strategic architect responsible for moving us away from manual, “copy paste” work toward a smart, automated system powered by AI and real time data.

You will have the mandate to bridge the gap between Marketing, Product and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it’s building a marketing engine to win back millions of users or launching ML powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible.

If you want a high ownership role where you can solve real structural problems and lead a team of technical experts in a fast paced, global environment, this is it.

Next steps

Our hiring process prioritizes quality over speed to ensure we find the right long term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take home case study presentation, concluding with a final value fit conversation.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Medical & Market Access Principal Statistician

GSK Oncology identifies new oncology therapies in four areas: Cancer Epigenetics, Immuno Oncology, Oncology Cell & Gene Therapy, Synthetic Lethality.

We need highly skilled Statisticians to support data generation, secondary publications, ISR review, and market access for marketed oncology products and late stage pipeline assets.

In this role you will

• Provide statistical input for the design, analysis, reporting, and interpretation of non registrational studies.
• Shape clinical development plans, HTA strategies, and commercial approaches.
• Build and maintain strategic relationships with internal and external stakeholders to address business needs.
• Develop and implement novel statistical methods to tackle complex challenges.
• Address market access and reimbursement challenges from regional agencies by collaborating with cross functional teams.
• Work with Health Outcomes and Market Access teams to analyze and interpret clinical trials and real world data, while expanding expertise beyond traditional statistics.

Basic Qualifications & Skills

• MSc or PhD in Statistics, Mathematics or equivalent with relevant experience in clinical research, pharmaceutical, CRO or academic settings.
• Proven statistical contributions and accomplishments in late phase clinical drug development.
• Good statistics programming skills and experience in R and/or Python.
• Self motivated with strong time management skills to manage multiple tasks effectively across projects.
• Excellent interpersonal and communication skills, including the ability to explain methods to senior stakeholders, and ability to build and maintain strong working relationships.
• Experience successfully influencing across functions and organizational levels.

Preferred Qualifications & Skills

• Proven statistical contributions in medical affairs and market access for marketed products, including HTA assessment.
• Experience in oncology.
• Demonstrated leadership and major contributions to organizational or industry wide initiatives.
• Ability to apply innovative statistical thinking.
• Strong relationship building and teamwork skills.
• Experience coordinating work with CROs.

GSK is an Equal Opportunity Employer. All qualified applicants receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases.

Role Summary

As a Data Engineer, Lakehouse and AI Data Platform, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices.
• Take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimisation and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Stronger ownership of technical design across multiple datasets or pipeline domains.
• Experience guiding implementation standards, code quality and engineering practices within a team.
• Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.
• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For

We are looking for engineers who can deliver well structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast paced environment where data platforms support important business outcomes.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an interest in developing long term expertise within the firm

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Would you like to be part of a growing analytics team looking to drive forward advanced data driven decision making at the heart of Lloyd’s insurance market?

Do you have a passion for analytics, visualization and generating real business impact through communicating value insights?

We are seeking a highly skilled Senior Data Analyst to join our forward thinking broking analytics team. This role combines commercial acumen, deep insurance expertise, and analytical capabilities to deliver actionable insights and optimise decision making across the organisation.

The successful candidate will deliver data solutions, standardise reporting practices, scale our Power BI capabilities and enhance analytical capability across departments. Based from our flagship London office, this role comes with Hybrid working.

What the day will look like

• Power BI Development: Build scalable data models, optimise model performance, and standardise reporting frameworks to deliver
• Deliver engineering pipelines in Databricks to create structured scalable assets to meet the evolving needs of the reporting requirements
• Assess AI for BI opportunities, leveraging LLMs and
• Develop reporting frameworks from critical source systems to enable deeper insights into operational and broking performance
• Collaborate with brokers, operations, and carriers to assess analytics requirements and translate business needs into actionable insights
• Insurance Market Expertise: Leverage Lloyd’s market knowledge to inform analytics solutions and reporting
• Deep of Data Modelling and architecture is
• Data Governance - embed standards and practices to improve data quality
• Liaise with analytics capabilities across departments and co ordinate to deliver business centric solutions
• Engage in strategic data transformation projects to provide technical guidance
• Data Engineering & Automation: Develop ETL processes using SQL and Python;
• Implement Power Automate and Power Apps for workflow automation
• AI & Emerging Technologies: understand how to leverage emerging capabilities

Skills and experience that will lead to success

• Mandatory: SQL, Power BI, Python scripting - Advanced modelling, optimisation, and governance.
• Expertise in standardising reporting practices and scalable BI solutions.
• Excellent communication and data storytelling.
• Passion for AI and experience leveraging it in a commercial context
• Strong stakeholder management and influencing skills.
• High commercial awareness and strategic thinking.
• Collaborative and adaptable in a fast paced environment.
• Proven experience in insurance analytics within the Lloyd’s or London Market.
• Expertise in standardising reporting practices and scalable BI solutions.
• Experience with Microsoft Co Pilot Studio or similar Agentic AI tooling.
• Familiarity with regulatory compliance and data governance practices.
• Understanding of underwriting / broking principles and performance analytics (loss ratios)

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Since 2023, Anduril UK has experienced rapid growth, introducing world leading software first, hardware enabled systems to the UK Ministry of Defence and other government agencies. Our exemplar programme of Maritime Sentry Towers (MST) has been developed and delivered in close partnership with the UK government and sovereign British industry, fundamentally changing how border security and surveillance capabilities can be employed by UK authorities. Additionally, Anduril UK has expanded its portfolio to include the ALTIUS 600, a versatile autonomous aerial system, and Seabed Sentry, an advanced underwater surveillance platform. These systems, along with others, position Anduril UK to provide a broad range of software and software enabled hardware products to meet the UK’s defence and security needs as outlined in the 2023 Integrated Review Refresh and Defence Command Paper.

World leading technology like MST, ALTIUS 600, Seabed Sentry, and many of the other autonomous systems that will underpin the UK’s technological future rely on modern C4 systems. These systems can integrate and fuse data across distributed systems, nodes, and networks to enable timely command decision making. Anduril’s open architecture Lattice operating system is an AI powered software platform that transforms thousands of data streams into actionable information for operators at all levels.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, and networking technology to UK defence and security personnel in months, not years. Our focus is on rapidly delivering innovative solutions that enhance the UK’s defence capabilities, support its industrial strategy, and contribute to its position as a science and technology leader.

ABOUT THE TEAM

The Mission Software Engineering team is responsible for building, deploying, integrating, extending, and scaling Anduril’s software to deliver mission critical capabilities to our customers. As the software engineers closest to Anduril customers and end users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end to end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter Unmanned Aircraft Systems.

ABOUT THE JOB

As a Senior Software Engineer on the Connected Warfare team, you will help architect third party systems to seamlessly integrate with Anduril products while solving a wide variety of technical problems, making pragmatic engineering tradeoffs along the way. Your role sets the bar for the technical excellence our customers expect from Anduril. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset-executing in an expedient, scalable, and pragmatic way while keeping the mission top of mind and making sound engineering decisions to deliver successful outcomes correctly, on time, and with high quality.

WHAT YOU’LL DO

• Be a champion for Anduril capabilities within a customer environment
• Develop architecture and mission vignettes
• Iterate on core data mesh technology to make optimal use of degraded networks
• Develop connectors and APIs for legacy and cutting edge systems to integrate with Lattice
• Deploy software to non standard environments
• Create data flow pipelines that span horizontally and vertically across disparate networked systems and security domains

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• At least 5+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• Experience working in a customer / client facing role
• A desire to work on critical software that has a real world impact
• Ability to travel to client sites
• Eligible for SC Clearance

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including:

• Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you.
  • For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents.
  • For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril.
• Basic Life/AD&D and long term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents.
• Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans.
• 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition.
• Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.
• Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work life services, such as free legal and financial support, available to you as well.
• A professional development stipend is available to all Andurilians.
• Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro kitchens.
• Company funded commuter benefits available based on your region.
• Relocation assistance (depending on role eligibility).
• 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only)

Anduril is an equal opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real world impact, we’d love to hear from you!

To view Anduril’s candidate data privacy policy, please visit

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search based LLM answers and other scenarios popular with our users.

Responsibilities

• Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity’s products, ensuring high standards for accuracy and helpfulness
• Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer’s quality
• Develop VLM based solutions to programmatically evaluate how final answers render visually across different platforms and devices
• Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements
• Operate within a small, high impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality

Qualifications

• PhD or MS in a technical field or equivalent experience
• 4+ years of experience in data science or machine learning
• Strong proficiency in Python and SQL (expected to write production grade code)
• Experience building within a modern cloud data stack, specifically AWS and Databricks
• Comfortable with agentic coding workflows and using AI assisted development tools to iterate faster

Preferred Qualifications

• 1+ years of experience working with LLMs at scale, specifically with LLM as a judge setups
• Prior experience working on customer facing web products or consumer apps, with real user traffic at scale
• A strong research background, with experience applying research methods to real world ML problems
• Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets

London, England, United Kingdom. Corporate Functions.

At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple’s standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you.

Responsibilities

• Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products
• Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions
• Architect production inference infrastructure that meets Apple’s performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies
• Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences
• Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases
• Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines
• Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery
• Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft

Minimum Qualifications

• Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale
• Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost)
• Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple’s technology stack
• Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments

Preferred Qualifications

• Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions
• Published papers in top conferences in ML/Statistics/Maths/compsci.
• Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale
• Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies
• Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use
• Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning
• Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality
• Contributions to open source ML frameworks, published research, or patents in relevant areas
• Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation
• Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale
• Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.

Company:

Apple Inc.

Level of experience (years):

Senior (5+ years of experience)

Tagged as:

Industry, Language Modeling, Machine Learning, NLP, United Kingdom

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA)

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way.

The Lakewatch product line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection as code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
• Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity.
• Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics.

Compliance

If access to export controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Senior Full Stack Engineer

We are seeking a Senior Full Stack Engineer who is passionate about building high quality software and designing robust systems. You will work on complex, large scale solutions across multiple technology stacks, collaborating closely with clients and internal stakeholders. While you will help guide other engineers, this role is engineering led rather than people management focused.

About Our Team

Our Full stack engineering team brings together experienced engineers, diverse perspectives, and a flat team structure that enables visibility and impact from day one. With 40-50 professionals across the practice, we deliver some of the most exciting projects in the market - from next generation fintech payment platforms to global insurance systems deployed across multiple countries.

AI is an important part of our work, but this role is grounded in strong software engineering fundamentals. We are looking for senior engineers who enjoy architecture, system design, and end to end delivery, with a genuine interest in modern technologies, including AI.

The role requires Security Clearance or ability to get SC in short timescales.

Technology

This is a true full stack role, offering exposure to a broad range of technologies and architectures. You will continuously upskill while working alongside highly talented engineers, selecting the most appropriate tools and languages for each challenge.

Contribute to diverse and meaningful projects

From automating government client systems and delivering large scale platform migrations, to applying AI to enhance our products - including next generation fintech payment platforms and global insurance systems deployed across multiple countries.

Culture

Our culture is built by people who genuinely love technology. We value curiosity, collaboration, and continuous learning, and we actively support innovation and knowledge sharing.

As a Senior Full Stack Engineer, You Will

• Design, build, and deploy scalable, high quality systems
• Translate business and client requirements into technical solutions
• Work directly with clients, moving quickly from concept to production
• Lead by example through hands on development
• Contribute to architectural decisions across multiple teams
• Support and mentor engineers while remaining deeply involved in delivery

What You Bring

• A proven track record in full stack development
• Experience designing systems and solutions independently
• Experience providing technical leadership while staying actively involved in hands on development is highly valued.

Experience Required

• Solid understanding of maintainable code, systems design and software architecture
• Experience working across multiple technology stacks
• Strong experience with library appropriate, strongly typed languages such as C++, Java, C#, Go or Rust, along with relevant front end frameworks
• High adaptability and the ability to learn new technologies quickly
• Interest in modern technologies such as new languages, AI, cloud platforms
• Strong communication skills and confidence working with clients and distributed teams

Your Benefits, Your Way

• 25 days annual leave, with the option to purchase additional days
• Private Healthcare
• Life Assurance
• Income Protection
• Pension contribution matched up to 10%
• Flexible benefits, allowing you to tailor your package around wellbeing, family support, and more

Diversity, Equity & Inclusion

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs.

We are also a care leaver friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated mailbox UK-Recruitment .

About this role

Being a part of BlackRock means being a part of a community of experienced, ambitious people who are taking on some of the world’s most complex financial challenges. And our founder-led culture has maintained its entrepreneurial feel - we work hard, we work fast, and we work with purpose.

Team Overview

BlackRock’s Multi-Asset Strategies & Solutions (MASS) business is the investment group at the heart of BlackRock’s portfolio construction, asset allocation, and active management ecosystem. MASS draws on the full toolkit of index, factor, and alpha-seeking investment capabilities to deliver precise investment outcomes and innovative alpha insights. Our team of 600+ multi asset investment professionals constructs active asset allocation strategies and whole portfolio solutions across a wide spectrum of commingled funds, separate accounts, model portfolios, and outsourcing solutions in the wealth and institutional channels. Currently, MASS manages over $2.5 trillion in assets and has a strong presence in London, New York, San Francisco and Asia Pacific.

Position Overview and Responsibilities

As a Portfolio Manager in MASS, you will be working as part of a team managing portfolios across a range of clients and product types. Your responsibilities will include:

• Managing portfolios comprised of physical and synthetic fixed income, equity, FX, funds, private markets and commodity exposures
• Leading daily portfolio management tasks including implementing multiple investment strategies, handling client flows, FX hedging, rebalancing and monitoring positioning, and risk/ performance decomposition
• Ensuring all mandates conform to performance expectations, investment guidelines, risk parameters, and regulatory requirements
• Applying technology and analytical tools to improve processes, build scale and enhance investment decision-making
• Working with analytics, risk, data, and other platform teams to drive operational improvements and contribute to overall systems/investment and trading process design
• Participating in research related to portfolio construction, asset allocation, security selection, and other investment topics

We are looking for individuals who are:

Fiduciaries: You consistently put clients first and maintain integrity in every aspect of performance

Curious: You like to learn new things and are happy to challenge the status quo

Intellectual: You are excited about growing your skillset through solving problems

Accountable: You feel personal ownership and passion for the work you do and an aspiration to be better

Finishers: You drive things to completion

Exacting: “Good enough” is simply not good enough

Open: You value and respect input from others

Experience / Qualifications

• 4 to 8 years of prior experience in portfolio management or related role desired (e.g. risk management, analytics, trading), with accompanying knowledge in relevant subject areas such as markets, instruments, portfolio construction, exposure and risk measures, or attribution
• Undergraduate degree in a quantitative field (Physics, Mathematics, Finance, Economics, Computer Science or similar) or equivalent demonstrated professional experience with proven passion for investing
• Relevant experience managing Wealth / Solutions multi asset portfolio / models preferred, including experience in managing and rebalancing portfolios and FX hedging.
• Strong technical abilities with ability to develop process automation and tools to manage large numbers of portfolios. Data skills and coding experience required.
• Knowledge or experience across markets and instruments such as ETFs and other fund vehicles, derivatives, FX, rates, equities or credit markets (options, IRS, CDS, etc. a plus)
• Critical thinking and problem solving skills, with the ability to identify investing and operational challenges, and to design and implement solutions.
• Strong strategic communication and interpersonal skills, ability to partner with multiple groups across the firm, and to work both independently and as part of a team in a highly collaborative, global environment.
• Meticulous attention to detail with an ability to remain focused across a wide range of portfolio types and activities. Strong process awareness and ability to address operational risk issues.
• Technical skills such as Python, AI tools required, and experience working with Aladdin strongly preferred.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment - the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please :

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion and operate across multiple offices globally.

The Team

The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams as well developing and supporting Man Group’s central data platform. The division is also responsible for development of generative AI tooling to drive innovation and accelerate business processes.

As a Senior Analyst in the Data Science team, you will acquire, wrangle, map and analyse large structured and unstructured datasets to support quantitative research and portfolio management teams in alpha generation. You will act as a subject matter expert on select projects - delivering fundamental research, exploratory analysis and actionable insights.

Your responsibilities span the full data lifecycle: vendor scoping, data ingestion, exploratory analysis and pipeline prototyping. You will be expected to embrace AI development tools to accelerate delivery and drive adoption across the team. Work is delivered through self managed projects in collaboration with investment teams and the wider Data & AI division, with the goal of providing scalable, low touch data delivery and analysis.

• Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend datasets to inform investment strategies.
• Acquire, transform and analyse large, messy and unstructured datasets to support investment research and decision making.
• Research company KPIs, perform statistical tests and draft research reports to maintain an accessible knowledge base for investment teams.
• Contribute to the design and development of our AI powered data platform, streamlining the data scouting onboarding evaluation workflow.
• Build proof of concept data products and AI driven tools, collaborating with technology to productionise them.
• Contribute to firm wide data initiatives and stay informed on industry trends in alternative data.

Essential

• 4+ years of proven experience in data wrangling, time series analysis, statistical techniques and data visualisation.

• Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib) with experience leveraging AI assisted coding tools to accelerate development.

• Working knowledge of Snowflake, Linux/UNIX, Git, Jira.

• Passion for embracing agentic engineering - willingness and ability to work effectively with AI development tools as part of daily workflow.

• Ability to present technical results and concepts to non technical audiences.

• Entrepreneurial mindset with a willingness to deeply understand investment strategies and proactively push data driven solutions.

• Strong academic record with a degree in a STEM field.

• Previous experience working with investment professionals in a fast paced environment preferred.

• Experience writing ETL pipelines and fluency in SQL preferred.

Inclusion, Work Life Balance and Benefits at Man Group

You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Job Title: Senior Data Scientist at Faculty

Salary: £85,000-£105,000

Company Description: Faculty - Applied AI Leader

Job Description

Join Faculty’s Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale.

Location: London, UK

Why this role is remarkable

• Work at the forefront of Decision Intelligence creating “Computational Twins” that simulate entire business processes for organizations like the NHS and global pharma leaders.
• Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture’s global infrastructure to scale your impact internationally.
• Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus.

What you will do

• Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes.
• Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders.
• Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities.

The ideal candidate

• Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics.
• Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments.
• Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.

Job Title: Staff AI Engineer

Salary: £120k-150k + Equity

Company Description: Covecta - Seed-stage Agentic AI platform backed by Salesforce Ventures

Job Description: As the most senior AI hire, you will lead the technical direction of a purpose-built platform orchestrating dozens of specialized agents across the financial services lifecycle. Moving beyond simple wrappers, you will solve complex document intelligence and multi-agent coordination challenges for major institutions like Metro Bank in a highly regulated, high-stakes environment.

Location: London, UK

Why this role is remarkable

• Lead AI engineering at a startup that scaled from MVP to paying enterprise customers across the UK and US in under a year.
• Work on high-stakes technical challenges including multi-agent orchestration, hallucination detection, and auditable AI for a $36 trillion industry.
• Join a talent-dense team founded by former Mambu and McKinsey leaders, backed by a recent $6.5M seed round led by Salesforce Ventures.

What you will do

• Design and own the agentic orchestration layer that coordinates 50+ specialized financial agents with human-in-the-loop oversight.
• Architect robust evaluation and alignment frameworks to ensure accuracy, explainability, and policy compliance in regulated banking workflows.
• Build intelligent document processing pipelines to extract structured data from complex financial paperwork like regulatory filings and credit memos.

The ideal candidate

• Extensive hands-on experience shipping production-grade AI systems, specifically within NLP, document intelligence, or agentic systems.
• Strong research instinct with the ability to translate emerging techniques into reliable systems using structured reasoning and guardrail design.
• High-velocity startup mindset with the architectural judgment to make consequential build-versus-buy decisions and shape a growing engineering culture.

Job Title

Backend Software Engineer (£80k)

Salary

Up to £80k

Company Description

InTouchNow.ai - Award-winning healthcare technology company building AI voice agents for the NHS.

Job Description

Join a high-impact team building AI-powered voice agents that automate patient triage and bookings for over 100 GP practices. You will own core backend infrastructure, designing scalable services for real-time telephony and orchestrating complex AI workflows. Your work directly reduces NHS wait times and improves healthcare access for millions of patients.

Location

Borehamwood, UK

Why this role is remarkable

• Work on a Class I Medical Device that is already live in over 100 clinics and scaling rapidly following recent funding.
• Solve complex technical challenges in real-time voice streaming and 200+ language translations for high-concurrency healthcare environments.
• Take significant ownership of core architecture in a small, fast-paced team where your code has immediate, life-improving impact on patient access.

What you will do

• Design and build scalable Node.js services for real-time voice AI and event-driven telephony workflows.
• Develop deep integrations with critical NHS clinical systems such as EMIS and SystmOne to automate administrative tasks.
• Architect and optimize AWS-based infrastructure to handle hundreds of concurrent patient interactions with minimal latency.

The ideal candidate

• 5+ years of experience building production-grade backend systems using Node.js and distributed architectures.
• Demonstrates strong proficiency with event-driven systems, WebSockets, and cloud platforms (preferably AWS).
• Enjoys solving complex scalability challenges and owning systems end-to-end within a fast-moving, regulated environment.

About hyperexponential (hx)

At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms.

Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.

Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx.

What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.

What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure.

If that sounds like you, join us in building what comes next.

About the Analytics team

Engineering at hx drives every breakthrough that transforms how insurers make billion-dollar decisions. Our Analytics team sits at the cutting edge of this mission, building the data systems that unlock the full value of complex insurance datasets. We’re turning raw portfolio data into actionable insights that help underwriters and actuaries make smarter, faster decisions on risks worth billions.

As a Senior Backend Engineer in the Analytics team, you’ll architect and build the foundational data systems that power next-generation insurance analytics. This is greenfield territory - you’ll be designing distributed data solutions from the ground up, creating scalable ingestion pipelines, and building the infrastructure that turns complex insurance data into competitive advantage for our customers.

You’ll work at the intersection of complex engineering challenges and real business impact, collaborating with sharp product and UX minds to create data-driven experiences that fundamentally change how insurers understand and optimise their risk portfolios. If you love solving hard technical problems while seeing direct customer impact, this is where you’ll thrive.

What You’ll Be Doing

• Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights that drive billion-dollar risk decisions.
• Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud native systems that handle enterprise scale data volumes while maintaining reliability and performance.
• Deliver customer facing analytics features that transform how users understand and optimise risk modelling, building intuitive interfaces for complex portfolio analytics that were previously impossible.
• Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches that continuously improve the analytics experience and unlock new capabilities for customers.
• Collaborate across disciplines with Product, UX, and Engineering teams to translate complex business requirements into elegant technical solutions that balance powerful functionality with usability.
• Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation that makes complex data systems maintainable and scalable as the team grows.

What You’ll Need to Have Done

• Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills and the ability to work effectively across multiple languages and tech stacks.
• Delivered scalable cloud infrastructure using AWS and infrastructure as code tools like Terraform, with hands on experience building distributed systems that handle real world data volumes.
• Developed data warehousing solutions with hands on experience building ETL pipelines, data modelling, and orchestration workflows using modern tools (e.g., dbt, Airflow, Spark), demonstrating the ability to transform raw data into reliable, performant analytics infrastructure that supports business decision making at scale.
• Collaborated effectively across teams to deliver features that customers actually use, with evidence of translating business requirements into technical solutions that drive measurable impact.
• Maintained high code quality standards with a commitment to clean, well documented, maintainable systems and the discipline to build infrastructure that scales with business growth.
• Demonstrated curiosity about emerging technologies, particularly around data processing, analytics platforms, and AI/ML tools that can enhance developer productivity and unlock new customer value.

You’re Unlikely To Thrive Here If

• You prefer working with well established data systems rather than building foundational analytics infrastructure from scratch in a rapidly evolving environment.
• You’re more comfortable focusing on purely technical challenges than understanding the business context and customer impact of the data systems you’re building.
• You’re not excited by the complexity that comes with distributed data processing, enterprise scale systems, and the technical depth required for analytics platforms.

Reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.

Compensation

At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally.

Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make.

Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.

Benefits

• £5,000 training and conference budget for individual and group development.
• 25 days of holiday plus 8 bank holidays (33 days total).
• Company pension scheme via Penfold.
• Mental health support and therapy via Spectrum.life.
• Individual wellbeing allowance via Juno.
• Private healthcare insurance through AXA.
• Income protection and Life Insurance.
• Cycle to Work Scheme

Additional Perks

• Top-spec equipment (laptop, screens, adjustable desks, etc.).
• Regular remote and in person hackathons, lunch and learns, socials, and game nights.
• Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
• Exceptional opportunities for personal development and growth as we build something remarkable together.

Interview Process

1. Initial call with our Talent team to kick things off (30 minutes)
2. Manager Interview (60 minutes)
3. Technical Interview - Code Review & AI Pairing (120 minutes)
4. Values Interview (60 minutes)
5. We offer!

Our Commitment to Diversity

hxer’s are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.

Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you’re energised by complexity and motivated to grow, we encourage you to apply and join our global team.

Next Steps:

If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.

For more information about applying and to view other opportunities, you can visit our careers page.

Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

Role Overview

We are looking for a versatile and highly skilled Forward Deployed Engineer to join our team. In this role, you will combine strong technical abilities with excellent communication skills, working directly with customers to ensure they maximize the value of HappyRobot’s AI platform. You will be involved in onboarding, implementation, and ongoing support, while also contributing to product development and innovation.

What You’ll Do

• Customer-Facing Engineering - Work closely with customers from onboarding to ongoing usage, helping them integrate and optimize our AI solutions.
• Technical Development - Build new features, MVPs, and scalable solutions that directly impact customer outcomes.
• Full-Stack Development - Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools.
• AI/ML Applications - Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases.
• Integration & APIs - Manage APIs and integrations with third party systems to ensure seamless functionality for customers.
• Cross-Functional Collaboration - Partner with Product, Engineering, and Customer Success teams to deliver tailored solutions.
• Iterative Problem-Solving - Continuously iterate and improve AI solutions based on customer feedback and evolving requirements.
• Project Management - Prioritize and manage multiple projects under tight deadlines while maintaining high quality results.
• Travel - Travel is expected approximately 50% to 75% of the time for customer discovery, workshops, demos, and onsite collaboration.

Must Have

• Strong full stack experience: React, TypeScript, Node.js.
• Hands on proficiency in Python.
• Experience building AI/ML applications, including LLM prompting and tuning.
• Ability to manage APIs and integrate with third party systems.
• Excellent communication skills with the ability to explain technical concepts to non technical stakeholders.
• Proven ability to prioritize and manage multiple projects under tight deadlines.
• Founder mindset: highly independent, takes ownership, and thrives in a fast paced environment.

Why join us?

• Opportunity to work at a high growth AI startup, backed by top investors.
• Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top Tier Compensation - Competitive salary + equity in a high growth startup.
• Work With the Best - Join a world class team of engineers and builders.

Our Mission

Human time and effort is the rarest thing in the universe. The fact that so many people hate what they do for work is a disaster on so many levels. How many people live quiet lives of misery? How many generational talents do we miss due to circumstance?

Dex’s mission is to close the gap between Talent & Opportunity; we believe that work, and being productive, is part of the human condition, that regardless of AI, human passion, ingenuity and a desire to do things means that work will always exist.

We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive, because more people doing things they love leads to a better, happier and more productive world.

We’re starting by connecting the world’s most ambitious software engineers with the companies that deserve them.

About Dex

Dex is backed by a16z Speedrun, Concept Ventures and angels from OpenAI, Wise, ElevenLabs, Meta’s board, and many more.

We’re an ambitious, direct and kind group of people, we value authenticity, ambition and people who make things happen.

We’re a team of 12 (and growing) based in London (Borough). We work together 3-ish times a week because we value in person time, but we’re person centric and flexible. We hire adults who can manage their own schedules.

About the Role

• ML engineering role, not a research role, not a prompt engineering role. You understand the underlying mechanics: how embeddings encode meaning, how attention shapes retrieval, and how to build and evaluate representations that power matching and ranking systems.
• You use LLMs where they’re the right tool, but your first instinct is to understand the problem at a model level, not to reach for an API.
• The work is concrete: building a system that takes a new role and stack ranks the entire candidate database against it in seconds.
• You own the representations and scoring models that sit at the core of how Dex connects engineers with companies.
• The matchmaking engine you build here is the foundation that powers everything that comes next-candidate facing products, automated outreach, smarter sourcing-so you’re building for durability, not just the immediate use case.
• Your ML judgment is backed by solid engineering execution.

What You’ll Do

• Own the matchmaking engine-build and improve the AI driven talent matching system; design representations, scoring models, and instrumentation from the ground up.
• Work with embeddings and retrieval-build and evaluate embedding models, vector search, and semantic retrieval systems that power candidate to role matching.
• Design and run evaluations-build practical eval frameworks for model behaviour and output quality; make rollout safety and failure handling first class concerns.
• Contribute to agent and LLM systems-work on the voice agent backend and LLM pipelines with a model level understanding of what’s actually happening.
• Ship reliable backend services-build production grade Python services, not prototypes; handle errors, retries, latency, and observability as standard.

About you

• ML foundations-you understand how embeddings, attention, and retrieval systems work at a model level; you can reason about representations, not just API responses.
• Production judgment-you know when to use an LLM, when to use classical ML, and when to use neither; you’ve made these calls in production, not just in notebooks.
• Evaluation and guardrails mindset-you build evals before things go wrong; you design failure handling and rollout safety into systems from the start.
• Backend execution strength-you ship reliable, maintainable services; your track record shows production ML systems, not just impressive demos.

Strong technical depth in:

• Python backend (FastAPI or equivalent, async patterns, Postgres, Redis)
• Embeddings, vector search, and semantic retrieval (building and evaluating, not just calling)
• ML model evaluation-Metrics design, offline/online eval, failure analysis
• LLM integration with model level understanding (attention, context windows, trade offs)

Nice to Have

• Experience with recommendation systems, ranking models, or candidate/item matching
• Classical ML background (supervised/unsupervised, feature engineering, gradient boosting)
• Experience with voice agents or real time audio pipelines
• Familiarity with Pydantic AI or similar agent frameworks
• Experience in recruiting tech or marketplace systems

Why this is a great opportunity

Dex represents an opportunity to join a well funded, early stage business that is solving a real and relatable problem in a gigantic market.

This is an opportunity to build a brand from the early stages in a team that cares deeply about brand and design. We work in a market that has an absolute dearth of intentional brands and designs; we want to stand out from that.

There will be a generational company built in this space, we believe it’s going to be Dex.

What we offer

• Above market salary-you’re building a world class team and believe pay should match that ambition.
• Significant equity- we want this to be the last job you ‘have’ to take.
• Full private healthcare & dental-because life happens and we want to support you.
• Fertility benefits & enhanced parental support
• Gym membership & wellness benefits
• Claude tokens-lots and lots of Claude tokens
• Regular socials, offsites, and an annual trip
• MacBook Pro + team kit
• “Whatever you need” approach to tools and support

Location: Hybrid, three days per week in our London office Email: Hours: Full Time Contract: Permanent Closing Date: 10 July 2026 In a Nutshell Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems. Your Role As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems. Requirements Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical. Why Denaee Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms. Be Yourself At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact and we will ensure your experience is accessible and fully supported.

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

Equities Tech

Equities Technology at Citi is undertaking a bold, multi year transformation to build a best in class global platform across execution, prime, clearing and cross product margining. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi.

The Team

XVA Technology at Citi is undertaking a bold, multi year transformation to build a best in class centralised cross asset platform risk system. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of XVA technology at Citi.

Role Overview / What will you do:

As an Applications Development Technology Lead Analyst, you will be instrumental in shaping the future of our product quality and delivery, working towards a target state of a fully automated platform with minimal manual QA intervention. This role combines strategic vision with rigorous quality assurance expertise, with a strong emphasis on driving value through automation, particularly in the realm of Generative AI.

• Lead application systems analysis and programming activities, ensuring application design adheres to the overall architecture blueprint.
• Drive product quality and delivery through automation initiatives, especially in generative AI, targeting a fully automated platform with minimal manual QA intervention.
• Partner with management teams to define necessary system enhancements, deploy new products, and resolve high impact problems through in depth evaluation of complex business processes.
• Collaborate with development teams and Product Owners to formulate comprehensive requirements and propose innovative, efficient solutions.
• Define and drive the strategy for quality automation, overseeing testing priorities, road mapping for releases, and continuous improvement.
• Act as a central point of contact for interdepartmental communication, ensuring alignment and seamless collaboration across various project impacts.
• Provide technical expertise, mentor mid level developers and analysts, and establish standards for coding, testing, debugging, and implementation.
• Proactively assess risk, ensure compliance with laws and regulations, and maintain clear, concise communication across all organizational levels.

Key Skills and Experience required

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
• Proven relevant experience in Applications Development, systems analysis, or a similar tech lead role.
• Proven experience in product ownership, quality assurance management, or a hybrid role within a technology driven environment.
• Extensive experience with system analysis, software application programming, and managing successful projects.
• Strong understanding of the Software Development Lifecycle (SDLC) and various testing methodologies, with experience driving automation initiatives.
• Demonstrated leadership, project management, and Subject Matter Expertise in at least one area of Applications Development.
• Excellent written, verbal, and interpersonal communication skills, ensuring effective dissemination of information.

Any Beneficial / Nice to have skills and experience

• Experience with Generative AI (Gen AI) concepts and their application in product development or quality assurance.
• Familiarity with AI powered development tools such as Copilot.
• Strong analytical and problem solving abilities, with an ability to adjust priorities quickly.
• Experience working in an Agile/Scrum development environment.
• Ability to think strategically and translate vision into actionable plans.

This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required.

What we’ll provide you

By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Location: GBR Ipswich - Adhara Building, GBR-London-BTHQ One Braham

Advertised Salary: Competitive + great benefits

Posting Date: 13/04/2026

Function: Data & AI

Location: Ipswich or London

Working Style: Hybrid (3 days a week in office, 2 days from anywhere)

About the role

We are renowned for designing and running the best operational teams in the industry. We support some of the biggest brands in the UK across both mobile and fixed networks and we invest heavily in our people and technology to make sure our customers get the best experience.

It’s in our culture to evolve and become better. With the emergence of AI, we are keen to embrace the technology and understand the art of the possible.

We are hiring a Data & AI Specialist responsible for designing and implementing a Data Strategy that will underpin our AI & Automation strategy in Network Operations. Data & AI sits at the heart of our transformation journey within the Network Operations team. By focusing on Data & AI, this role will be pivotal in driving our shift towards the next generation of operations teams.

The work involves delivering sophisticated data, Machine Learning (ML) and AI models in collaboration with our tooling teams to develop cutting edge automation. This will enhance the efficiency and reliability of our Network Operations and enable us to proactively address issues, optimise performance, and deliver superior service to our customers. Your contributions will be instrumental in creating a smarter, more responsive network that leverages the power of Data & AI to stay ahead in a rapidly evolving technological landscape. This will enhance customer experience, provide business value, and help us remain competitive.

As part of our transformation team, you will offer insights and expertise on Data & AI, ensuring alignment with business objectives. The team values are curiosity, transparency, and continuous improvement, which support strong stakeholder relationships.

This role offers opportunities to explore cutting edge technologies, develop skills, innovate, and advance your career.

What you’ll be doing

• Leads the modelling and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision making that underpins our automation and AI strategy within Network Operations.
• Working with Network Operations Transformation team to develop and support our Data & AI workstream to implement AI driven network automation.
• Provide expertise and guidance to tooling team in planning Data and AI projects from concept to implementation.
• Acting as a transformation partner for initiatives involving data automation, AI/ML applications, and advanced analytics capabilities.
• Collaborate with cross functional teams to ensure Data & AI solutions align with business needs and quality standards.
• Lead the continual improvement of our Data & AI solutions, i.e. process improvements / operational monitoring / automation opportunities / security.
• Contribute to upkeep of our strategic data platform architecture, the data engineering community and associated standards.
• Continuously develop and share knowledge on emerging trends and changes in data science & AI.
• Using Data Science: Provide data science expertise, identify trends and share business insights across the team.
• Experience applying data analysis, modelling, and engineering practices to complex data sets.
• Data & AI: Expertise in how data is stored, extracted, correlated and visualised. An understanding of how AI and automation can utilise the data layer. Understand what is required across the whole project life cycle to make data and AI projects successful.
• Technical Expert: Drive or contribute to model development, including data exploration, training data, feature extraction, validation and scoring.
• Knowledge or experience in coding skills relevant to data manipulation (e.g. PL/SQL, Python, R).
• Strong understanding of data platforms, architecture, and tooling at a high level (you don’t need to be a data engineer, but someone who can partner credibly with them).
• Be agile: Lead collaborative and agile ways of working through projects and programs effectively managing changing priorities.
• Ability to adapt and respond to evolving technologies, tools, and business demands within a fast moving data landscape.
• Clear communicator with the ability to present insights, assumptions, and limitations to both technical and non technical audiences, and to influence decision making.
• Experience working collaboratively within multi disciplinary data teams, contributing to shared standards, peer review, and technical direction.
• Business acumen: Knowledgeable in business strategy and the drivers of organisational performance, including people drivers of performance and financial literacy (e.g. business KPIs, business cases).
• Enthusiastic about learning and applying new technologies (growth mindset).
• Ability to build new solutions and support our data solutions/products.
• Knowledge of automation frameworks and CI/CD for data products/models.
• Experience with tooling such as Jupyter and Ab Initio.
• Aware of LLM platforms (AWS Bedrock, OpenAI, Hugging Face), prompt engineering, distributed data systems (Kafka, Apache Pulsar), columnar databases (ClickHouse, Druid), and ETL/ELT tools.

Our Package

• 10% on target annual bonus
• Access to an online private GP 24/7 for you and your immediate family
• Market-leading paid carers leave with up to 2 weeks off
• Equalised maternity, paternity, and adoption leave - 18 weeks’ full pay and 8 weeks’ half pay
• Discounted EE and BT products, including mobile and broadband
• Market leading Pension scheme - 5% from you and 10% from us
• Holiday purchase scheme

Job Title: Senior Python Developer

Location: London

Length: 6 months

PAYE only

Overall purpose of the role

We are looking for a highly skilled Python Engineer to join our Macro Flow Rates team for a 6 month period.

This isn’t a role for someone looking to build complex new pricing models; instead, it is a mission-critical engineering and automation project.

You will be responsible for modernizing our tech stack, migrating us from legacy C++ environments and manual spreadsheets toward a streamlined, Python-centric ecosystem.

Key Accountabilities

• Legacy Migration: Lead the rebuild and migration of an established C++ strategy testing environment into a modern Python framework.
• Tooling & Solutions: Transition a critical Cross-Currency Swaps desk spreadsheet into a robust, scalable Python-based solution.
• Process Automation: Identify and automate repetitive reporting tasks currently sent to Senior EM Stakeholders, freeing up the team for higher-value activities.
• System Integrity: Ensure the accuracy of “Flow” product calculations throughout the migration process.

Key Skills

• Polyglot Proficiency: A balanced 50/50 split in expertise between C++ and Python.
• Macro Product Knowledge: Deep understanding of Rates and FX products (Flow). You should be comfortable explaining the nuances of these instruments and how they are deployed.
• Proven Track Record: Experience building or migrating test environments for similar financial products in the past.
• Automation Mindset: A desire to eliminate “tedious” manual calculations through elegant code.
• Education: A degree in a STEM subject or Computer Science.

About Barclays

Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. Barclays businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by its service company which provides technology, operations and functional services across the Group.

Values

Everything Barclays does is shaped by its five values of Respect, Integrity, Service, Excellence and Stewardship. The Barclays values inform the foundations of its relationships with customers and clients, but they are also shaped how Barclays measures and rewards the performance of colleagues. Simply put, success is not just what you achieve, but how you achieve it.

Diversity

Barclays aims to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to Barclays vision and goals.

Hybrid Working

Barclays is currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, dependent on the nature of the role they are in. Barclays is flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or quarter. However, some colleagues may choose to spend more time in the office than the role type requires.

Your Benefits

As a contract employee of Randstad Sourceright, you’ll receive a wide range of financial and personal benefits. There’s enrolment in a pension plan (after 12 weeks on assignment) and holiday pay. You’ll also get 24/7 access to an Employee Assistance Programme, designed to help you deal with any problems that could be affecting your home or work life. Plus, there’s discounts at heaps of high street shops, restaurants and entertainment - from Asda to Zizzi Italian restaurants.