Your Role

As a Senior Platform Engineer, you’ll own the infrastructure, pipelines, and tooling that underpin how Walr’s engineers build and ship software. Working within a small, focused platform team, you’ll be hands on in everything from cloud infrastructure to CI/CD to observability - with a clear north star: developer experience. You’ll measure your success in the same way we do: cycle time, build performance, and the confidence our engineers feel in the systems they rely on.

This role is about leadership in execution, ownership of outcomes, and shaping your product’s future.

How You’ll Make an Impact Technical Excellence

• Design, build, and maintain Walr’s cloud infrastructure on Microsoft Azure using Infrastructure as Code (Bicep), ensuring environments are consistent, auditable, and scalable across multiple regions.
• Own our CI/CD pipelines (GitHub Actions) end to end, from authoring and optimizing pipelines to establishing release engineering standards that enable fast, reliable, low friction deployments.
• Implement and evolve our observability stack, building out logging, metrics, tracing, and alerting solutions that give engineers clear signal when things go wrong and confidence when they don’t.
• Champion developer experience as a measurable outcome - track and improve key indicators such as build times, pipeline duration, and deployment frequency, treating the engineering team as your customer.

Execution & Ownership

• Proactively identify and resolve infrastructure and platform issues before they become incidents, owning system reliability with an SRE mindset.
• Evaluate and introduce tooling - including AI native and agentic developer tools - that meaningfully accelerates how engineers work, with a bias for evidence over enthusiasm.
• Document platform capabilities and decisions clearly, reducing tribal knowledge and enabling engineering teams to self serve with confidence.

Collaboration

• Partner closely with backend and frontend engineers across squads to understand their pain points and translate them into platform improvements.
• Informally mentor engineers on platform and DevSecOps practices, raising the waterline of infrastructure literacy across the engineering organization.
• Contribute to security and compliance posture (SOC 2, ISO 27001), working alongside the engineering leads to ensure platform practices meet our obligations without creating unnecessary friction.

Skills That Set You Up For Success

• 5+ years of experience in platform, infrastructure, or DevOps engineering in a cloud native environment.
• Expertise in Microsoft Azure - including Azure Container Apps, Azure Functions, AKS, Service Bus, Cosmos DB, networking, and identity.
• Strong proficiency with Infrastructure as Code using Terraform or Bicep, with a focus on maintainability and reuse.
• Experience designing, building, and optimizing CI/CD pipelines, preferably with GitHub Actions.
• Deep understanding of containerization (Docker) and orchestration.
• Experience implementing observability solutions - structured logging, distributed tracing, metrics dashboards, and alerting (Datadog, incident.io, Sentry).
• A demonstrable commitment to developer experience, ideally with experience measuring and improving engineering throughput metrics.
• Excellent communication skills - equally effective writing a runbook, explaining a trade off to a product team, or raising a concern with leadership.

Bonus Points For

• Microsoft certifications (Azure Administrator, DevOps Engineer Expert, or Solutions Architect).
• Experience with FinOps and cloud cost optimization practices.
• Background in SRE disciplines - SLOs, error budgets, and structured incident management.
• Hands on experience with AI native or agentic developer tooling, whether adopting, evaluating, or building it.
• Scripting proficiency in PowerShell, Bash, or Python for automation and tooling work.

About the Role

Plus Power recruits outstanding energy industry professionals who are driven to develop, build and operate assets safely and reliably to decarbonize the power markets while growing their careers. Our team looks for data-driven and fact-based mindsets, engaging and collaborative behaviors, and personal growth-focused professionals.

We are seeking a Senior Platform Engineer to join our technology team, with a focus on backend systems, cloud-native platforms, and data infrastructure. This role is ideal for an engineer who comes from a data platform, backend, or analytics engineering background and has developed deep expertise operating those systems in AWS at scale. It is especially well suited for engineers who have built or operated data platforms and are looking for deeper ownership of the cloud and backend systems that power them.

You will work at the boundary between data platforms, application engineering, and cloud infrastructure, helping Plus Power build reliable, scalable systems that support asset operations, analytics, and power market participation. This is a hands on role with meaningful technical ownership: you will write production code, shape system architecture, and ensure the systems you build are observable, resilient, and operable in real world conditions. You will focus on bringing transparency, efficiency, and consistency to our cloud systems, ensuring secure and flexible deployment patterns, and advocating for best practices, all while contributing directly to business critical solutions.

In this role, your impact goes beyond ticket based support or reactive operations. You will lead and own solutions end to end, from design and implementation through deployment, monitoring, and ongoing evolution. You will be working across disciplines to continuously improve the platforms and systems our teams rely on.

Key Responsibilities Platform & Backend Engineering

• Design, build, and operate backend services, internal platforms, and shared infrastructure that enable data pipelines, analytics, and application workloads.
• Apply a strong focus on CI pipeline design, operational reliability, and cloud cost awareness as firstclass engineering concerns.
• Write high quality, maintainable, and testable production code, primarily in Python.
• Partner with application and data engineers to define service boundaries, APIs, data contracts, and operational requirements.
• Contribute to architectural decisions with an emphasis on long term maintainability, reliability, and clarity.

Cloud Native Systems Ownership

• Architect and operate AWS based, cloud native systems with an emphasis on reliability, security, performance, and cost efficiency.
• Own the full lifecycle of platform and service components, including design, implementation, deployment, observability, and incident response.
• Build and maintain Infrastructure as Code using Terraform to manage cloud assets and operational workflows.

Data Platform Enablement

• Enable and support data platforms, analytics systems, and ML adjacent workloads through reliable backend and platform services.
• Design systems that integrate with relational databases, object storage, and event driven data flows.
• Work closely with data engineers and analysts to ensure systems meet requirements for data correctness, availability, and performance.
• Set and evolve best practices for cloud based data management through platform design, automation, and standards.

Operational Excellence & Reliability

• Build and evolve CI/CD pipelines that test, validate, and deploy both application and infrastructure code.
• Establish and maintain observability standards using metrics, logs, and alerts.
• Participate in on call rotations and lead root cause analysis and long term system improvements following incidents.

Skills & Qualifications

• 5+ years of professional experience across platform engineering, backend engineering, data engineering, CloudOps, or SRE roles.
• Strong backend development experience, including building and operating production services or internal platforms.
• Prior experience on data platform, analytics, or ML infrastructure teams preferred.
• Significant hands on experience with AWS, including services such as VPC, IAM, EKS/ECS, RDS, S3, and related managed services.
• Familiarity with event driven architectures, messaging systems, or streaming data patterns preferred.
• Experience with Infrastructure as Code (Terraform and/or CloudFormation).
• Experience operating containerized workloads using Docker and Kubernetes in production environments.
• Solid understanding of CI/CD, Git based workflows, and automated testing.
• Strong operational mindset, including comfort owning production systems and participating in on call rotations.
• Experience building or evolving internal developer platforms or shared infrastructure services preferred.
• Experience working with relational databases and data intensive systems.
• Excellent written and verbal communication skills, with the ability to present complex technical information to diverse audiences.
• Demonstrated ability to work collaboratively and effectively in a cross functional environment with both technical and non technical team members who are geographically dispersed.
• Proven ability to stay connected and maintain communication across distributed teams in hybrid or remote settings.

Compensation, Location, and Benefits

Highly competitivetotal compensationfrom one of North America’s leading energy storage developers,ownersand operators. Flexible, work from home or hybrid work from Plus Power’s officesin San Francisco, Houston, Chicago, Seattle, New York, PalmBeachand Birmingham.

The expected salary range for this position begins at $150,000. We may ultimately pay more or less than the posted range based on several factors including, but not limited to relevant experience, skills, qualifications, geographic labor market, and other factors consistent with applicable law. This position is also eligible to participate in our annual bonus program.

Plus Power offers a competitive and comprehensive benefits program, unlimited vacation, flexible remote work, work from home stipend, educational assistance, parental leave, and a highly engaging company culture with opportunities for in person connection and learning and growth.

The deadline for applying to this role is April 28, 2026.

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)

About the Role

As an experienced Penetration Tester at Starling, you’ll be joining an established team, working with talented cyber security professionals to ensure our services are designed, developed and operated securely.

This is a collaborative role - you’ll directly interact with multiple areas of the business to understand requirements, conduct research, perform security testing, and report issues aligned to our risk framework.

Being an internal tester, you’ll gain a strong understanding of how technology works at Starling to enable in depth testing. You’ll also support remediation processes, seeing your findings lead to tangible security improvements.

We understand the importance of knowledge and expertise remaining current, so we’ll actively support your advancement through research and training. In turn, you’ll help us continuously improve our processes, methodologies and tools to maintain the highest standard of testing.

We’re open minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications.

Responsibilities

• Scoping and performing mobile, web application, cloud and infrastructure penetration tests.
• Collaborating with engineering teams to facilitate secure development, including:
  • Reviewing and analysing proposed technical solutions to identify appropriate security controls.
  • Conducting code reviews of features and critical security components.
  • Performing in depth practical security testing.
  • Advising on the remediation of security issues and identifying solutions to address root causes.
• Automating security testing and developing internal tooling to achieve continuous assurance.
• Identifying and implementing improvements to the team’s internal processes and procedures.
• Mentoring less experienced team members, leading by example in technical assessments, and promoting a collaborative approach to security across Starling.

Qualifications

• 5+ years technical information security experience.
• Experience in mobile, web application, cloud and infrastructure penetration testing.
• Technical knowledge - a good foundation in mobile security (iOS and Android), web application security, networking and associated protocols, cloud security (AWS and GCP), containers and Kubernetes.
• A desire to learn, and the ability to apply technical security knowledge to new and unfamiliar areas.
• Penetration testing qualifications (e.g. CREST Certified Tester, OSCP) or equivalent industry experience.
• Experience performing code reviews or code assisted testing, particularly in Java and Go.
• Experience in automation of security testing (e.g. using Python or Go).
• Excellent verbal and written communication skills.

Interview Process

• First stage with the Penetration Testing Team Lead.
• Second stage with additional members of the Penetration Testing team.
• Final stage with Infosec Director and CISO.

Benefits

• 25 days holiday (plus public holiday allowance).
• Extra day’s holiday for your birthday.
• Annual leave increased with length of service, and you can choose to buy or sell up to five extra days off.
• 16 hours paid volunteering time a year.
• Salary sacrifice, company enhanced pension scheme.
• Life insurance at 4 your salary & group income protection.
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton.
• Generous family friendly policies.
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks.
• Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing.

Equal Opportunities

Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

The Data Scientist II - Product Analytics role is an established contributor within the analytics function, applying data science principles and playbooks to solve business problems. This role regularly interacts with stakeholders up to the Senior Manager level and plays a key part in delivering insights that drive performance improvements across the Search domain.

We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey.

In this role, you will:

• Extract and combine data from multiple sources to build datasets for modeling and analytics.
• Apply statistical techniques such as regression analysis, ANOVA, and probability theory to business problems.
• Design and recommend experiments (e.g., A/B tests, pre/post analysis, causal impact) to answer strategic questions.
• Build and apply common models (e.g., linear/non-linear regression, clustering) with an understanding of data requirements and assumptions.
• Create clear, inclusive visualizations that support storytelling and deepen stakeholder understanding.
• Collaborate with stakeholders to refine project goals, scope, and outputs iteratively.
• Write efficient, shareable code and documentation using tools like GitHub, IEX, and Confluence.
• Automate reporting tasks and build scalable dashboards to support data democratization.
• Communicate project goals, methodology, and insights to technical and non-technical audiences.
• Work with big data, applying best practices for data quality, query optimization, and pipeline development.

Experience and Qualifications:

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field or equivalent experience.
• 1-2+ years of experience in data analytics or a comparable role.
• Demonstrated ability to deliver data-driven insights that drive change or performance improvement.
• Intermediate proficiency in Python, R, or SQL for data analysis, transformation, and visualization.
• Experience with big data challenges and solutions.
• Strong critical thinking, problem-solving, and communication skills.
• Familiarity with inclusive design principles in data visualization.
• Business acumen and ability to frame business problems as analytical tasks.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW - maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Senior Software Engineer to join our Unified Platform (UP) organization. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

As a Software Engineer on one of the Unified Platform teams, you’ll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You’ll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights.

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change.

What you’ll do in this role:

• Develop tools to enable the business to rapidly embrace new opportunities in global markets
• Partner closely with internal customers to understand their needs and build intuitive self service tools
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Work with a team to maintain and extend our global markets reach
• Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

• Are motivated to solve hard problems with deceptively simple solutions
• Think a lot about user experience and try to really understand end users’ jobs and pain points
• Think a lot about APIs, modular design and testing
• Love refactoring and keep trying until you find a better answer
• Enjoy making the “right way to do it” the path of least resistance
• Have made a random tool for yourself and then peers ask for it then other teams ask for it
• Are fiercely proud of your project’s reliability, performance and ease of maintenance
• Are excited to learn about financial markets, trading, etc.

What we need on the team:

• At least 2 3 years of platform level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Strong experience with Java, Python or any modern programming language
• Experience processing high volumes of data at scale
• Excellent analytical and problem solving skills
• Comfort working within a globally distributed team
• A background in some of the following a bonus:

• Java experience
• Python experience
• Ruby experience
• Big data technologies: Spark, Trino, Kafka
• Financial Markets experience
• SQL: Postgres, Oracle
• Cloud native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana

Summary

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there’s no telling what you could accomplish.

Our Swift Server Networking team is responsible for building libraries and frameworks which form the foundations of mission critical systems at Apple. We write software in the Swift programming language and specialise in frameworks for distributed systems. Much of the software we produce is published as open source (such as SwiftNIO and gRPC Swift), as we firmly believe in growing a strong community. This, combined with our drive to create amazing products, makes the team a truly exciting place to work.

We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have built a team of domain experts who specialise in specific core subject areas, and also have broad experience of cloud software services and platforms.

Description

You will have significant responsibilities in building and improving libraries and SDKs for running large scale, mission critical services in Swift. You will have the chance to influence the direction of the platform and collaborate with multi functional teams across Apple to help define, implement, and deliver functionality to help build the next generation of Apple Services.

Our work takes us across multiple domains, from cloud services to iOS and macOS SDK development. The common thread for all of our development is a focus on the Swift programming language. If you have experience in any of these areas, you can hit the ground running, but we believe that great engineers can learn these skills on the job.

Successful candidates will have strong engineering skills and communication, as well as the ability to build relationships and collaborate across the company. You will have a real passion for quality, technical excellence, and an ability to understand complex systems. If this sounds like you, then we would love to hear from you.

Minimum Qualifications

• Experience with standard software engineering tooling and workflows, including version control and code review
• Strong proficiency in at least one programming language (e.g., Java, Python, Swift, C/C++)
• Strong large scale server side development experience
• Experience navigating ambiguity and leading initiatives or workstreams
• A willingness to jump in and tackle new problems

Preferred Qualifications

• Expertise in library design/API evolution
• Asynchronous/streaming programming experience (e.g. Reactive Streams, Dispatch, Combine, or similar)
• Experience with implementing, debugging, and scaling network protocols.
• Experience with modern high performance Linux networking technologies, including some or all of eBPF (with or without XDP), DPDK, and io_uring.
• Familiar with QUIC and some of its extensions.
• Familiar with modern cryptography, including an understanding of the major categories of cryptographic primitives, how to safely use them, and what to avoid.
• Quality focus - produce reliable, maintainable, deliverable software
• Comfortable diving deep - working across multiple levels of abstraction
• Good at managing relationships & communication - collaborates well with colleagues across a wide range of functions

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. Learn more

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

Summary The Client Solutions Manager for Meta's Global Business Group team partners with our most strategic clients to make sure they are successful with Meta. This is an opportunity to build and manage key relationships, serve as a consultative product expert and a trusted adviser in marketing, leading strategy, media planning, creative, tech integration, and measurement for our top clients across various verticals including Ecommerce, Retail and other industries in Türkiye.The Client Solutions Manager is a strategic solution-driver with a focus on developing ROI-positive marketing strategies, driving growth by constantly improving performance for advertisers and implementing measurement & attribution solutions. This role is responsible for optimizing complex opportunities and using data and analytics to build consultative and technical solutions for our customers, providing business insights, driving revenue, advertiser education, and satisfaction through a consultative, data-driven approach. Required Skills Client Solutions Manager (CSM) - Ecommerce & Omni-Channel, Türkiye Responsibilities: 1. Identify, create, and implement marketing solutions grounded on achieving measurable business results for our clients 2. Develop vertical expertise, including industry research and perspective, to drive overall business objectives and marketing solutions for advertisers. Including 1st party data, ecomm platforms and attribution and measurement systems 3. Work with businesses to understand their objectives and develop the Meta strategy in partnership with the Client Partner, which will constitute building on insights, crafting marketing strategies and media plans, creative guidance and measurement recommendations 4. Provide dedicated account management to top clients, to develop, manage, optimize, and support strategic account plans, and leverage data to create business solutions for clients 5. Project Management - Work and collaborate with broad group of internal cross-functional teams, managing complex work streams to optimize marketing objectives for clients. Manage analytics and dashboards to advise clients (e.g. daily client facing data/insights reporting, understanding performance across multiple accounts across multiple country used by clients) 6. Manage strategic marketing conversations with clients, agencies, and partners (media, creative, measurement partners, MarTech, etc.) 7. Advise clients on media and creative strategy, planning, measurement and optimization of campaigns to deliver against Key Performance Indicators 8. Use data and insights to guide strategy and implementation of Meta solutions against client's marketing objectives 9. Manage internal account operations (revenue delivery, media recommendations, troubleshooting issues, optimization opportunities) 10. Manage planning, execution, ongoing reporting and optimisation of campaigns (e.g. budget spend, internal analytics and dashboards, optimisation and real time recommendations) Minimum Qualifications 1. 5+ years of experience in customer acquisition or in marketing, media, and/or consulting 2. Professional working proficiency in Turkish and English is needed due to partner with external clients in Turkish and EMEA markets 3. Experience working directly in digital advertising marketing or media and/or experience of work at consulting firms 4. Experience analyzing large datasets and delivering actionable insights with experience of Python, SQL, and/or statistical packages 5. Experience to communicate, collaborate and work effectively in a team, with cross-functional teams and with multiple layers within the organization (internally and externally) 6. Demonstrated experience with digital media platforms, advertising metrics, and industry trends (Direct Response marketing, data and technology solutions, ad-tech, partnerships) 7. Leadership experience with multiple cross-functional projects with a high attention to detail 8. Evidenced track record of proactively initiating projects, prioritizing tasks and manage workload effectively, managing responsibilities and adapting to changing demands 9. Capacity to travel as needed for client and partner meetings 10. Success in this position requires consultative sales and analytical skills, a focus on client service and commercial acumen, and the ability to thrive in a dynamic, team-focused environment Preferred Qualifications 1. Experience with business case modeling and market/opportunity sizing 2. Experience in digital marketing measurement solutions and attribution models 3. Cross-border commerce experience across various markets Industry: Internet

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 .

Software Engineer - Defined Benefits Team

Location: London - hybrid 50%

Contract: Permanent

Hours: Fulltime - 35 hours

Purpose

Support the DB Transformation engineering team in designing, developing, and delivering enterprise grade software built on a Python (FastAPI), React (Next.js), and Azure Kubernetes Service (AKS) stack. This role plays a key part in building our service oriented data platform, ensuring scalability, reliability, and security within a regulated environment. You will work across the stack-from front end applications to containerised services-and help embed DevOps excellence and modern engineering practices across the team.

Key Responsibilities

• Deliver high quality, secure and maintainable code using Python, React and TypeScript, aligned to business and architectural standards.
• Contribute to the development of a cloud native data platform running on Azure Kubernetes Service, ensuring scalability and reliability.
• Design and build RESTful APIs and data integration services using FastAPI, with occasional use of Go where required.
• Develop responsive and high performing front end applications using React, Next.js and modern component libraries.
• Containerise and deploy applications using Docker and Helm within Kubernetes environments.
• Build and maintain CI CD pipelines in Azure DevOps, embedding automation, testing and release quality.
• Apply Infrastructure as Code using Terraform and ensure solutions meet security and compliance standards including OWASP and data protection.
• Collaborate across engineering and product teams, contribute to Agile practices, support production systems and mentor junior developers.

Examples of Key Activities

• Develop and maintain backend services using FastAPI to support core business functions.
• Build and enhance React and TypeScript front ends using Next.js, focusing on performance, usability and component reusability.
• Design, build and maintain scalable solutions across the Microsoft Power Platform including Power Apps, Dataverse, Power Pages, Power Automate and custom connectors, integrating with Azure services and APIs.
• Containerise and deploy applications using Docker and Helm within Azure Kubernetes Service environments.
• Extend and manage CI CD pipelines in Azure DevOps, embedding automated testing, linting and security scanning.
• Implement monitoring and observability using Azure Monitor, Grafana and structured logging to ensure system reliability.
• Define and provision infrastructure using Terraform, while applying secure coding practices and supporting risk and threat assessments.
• Collaborate with architecture and engineering teams, contribute to code reviews and testing, and support incident management and continuous improvement.

What we’re looking for Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Desirable - Relevant certifications in Microsoft technologies and Azure are highly desirable.

Experience

• Strong experience with React, TypeScript and Next.js alongside Python and SQL Server to build scalable applications.
• Proven ability to design and develop RESTful APIs for internal and external integrations.
• Hands on experience with Azure services including App Services, Azure SQL, Key Vault and Azure DevOps.
• Experience with Docker and Azure Kubernetes Service for containerisation and microservices deployment.
• Solid understanding of DevOps practices including CI CD pipeline design and deployment automation.
• Familiarity with Infrastructure as Code tools such as Terraform and ARM templates for environment management.
• Experience supporting production systems, including incident triage, root cause analysis and resolution of complex issues.
• Strong understanding of secure coding practices, OWASP principles, Agile delivery, Git, testing and code review best practices.

Our behaviours

At Just you’ll have the opportunity to develop your career, whilst making a difference to the lives of those around you. You’ll be part of a company with a strong and distinctive culture - we’re ambitious, curious and collaborative - and every decision we make centres around being Just and delivering the best outcomes for our customers.

What’s in it for you

• A competitive salary, pension scheme and life assurance.
• 25 days annual leave plus an additional day on us for your birthday.
• Private medical cover and income protection, just in case.
• A generous and highly achievable bonus scheme.
• Opportunities to progress your career in role and within the company.
• Free access to the Headspace app, 24/7 employee assistance helpline and trained physical and mental health first aiders.
• A variety of employee funded benefits available via our online benefits portal.
• Plus, several additional purchase options available for you and your loved ones.
• Valuing diversity of thought and fostering a sense of belonging is critical to our business success, driving innovation and balanced decision making. Our work on DEIB (Diversity, Equity, Inclusion and Belonging) aims to deliver a brilliant employee experience underpinned by a sense of belonging, where our people feel proud to work at Just.
• We remain committed to our publicly disclosed HM Treasury Women in Finance Charter and Race at Work Charter targets and support a wide range of employee network and events, championing issues including intergenerational working, social mobility and neurodiversity.

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: Full Stack Engineer

Salary: £60k-£80k + Equity

Location: Cambridge, UK

Company Description: Lichen AI - Early stage agentic platform for AI discovery

Job Description: As the first full time engineer, you will transform a working prototype into a production grade enterprise SaaS. You’ll build robust backends, design intuitive interfaces for complex AI outputs, and establish foundational engineering practices. Working directly with an expert founding team, you will ensure the platform is secure, reliable, and ready for global enterprise customers.

Why this role is remarkable

• Join as the first founding engineer with a significant equity stake and a clear path to technical leadership as the company scales.
• Work alongside a world class founding team including the former Chair of the UK Government’s AI Council and Amazon Alexa’s speech recognition lead.
• Build a mission driven platform that uses agentic AI to amplify human insight rather than replacing it, solving a critical adoption gap for enterprise clients.

Responsibilities

• Transition a high potential prototype to a production grade platform by building secure, scalable backend systems and automated deployment pipelines.
• Lead the end to end development of the user interface, making complex AI generated insights legible and actionable for non technical business users.
• Implement enterprise grade security and compliance standards including ISO 27001 and GDPR to ensure safe handling of sensitive client data.

The ideal candidate

• Has 3 8 years of experience shipping production web applications using modern JavaScript/TypeScript (React) and Python (FastAPI).
• Demonstrates strong proficiency in cloud infrastructure, specifically AWS, and designing robust database structures and data pipelines.
• Thrives in a small, fast paced startup environment and possesses a genuine interest in human centered AI that enhances domain expertise.

Let's be Stoxx is seeking a Principal Software Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of a fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.You'll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You'll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction - in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.You'll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You'll lead by example, using data and proof-of-concepts to bring people along and make them successful. You'll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery - you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too. Responsibilities Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Be hands on, do what you expect others to do Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights Requirements 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud Experience as a technical thought leader Experience coaching and mentoring high-performing teams Experience leading the development and deployment of large-scale, complex data pipelines Experience using and getting the best out of generative AI approaches API first mindset Design and delivery of decomposed batch preparation and real-time API pipelines Experience of user-entitlement management Experience of cloud development, the benefits and challenges Design and completion of complex migration projects, from technical and process/systems perspectives Experience of GCP products across database, serverless, containerization and API Pragmatic experience using agile to deliver incremental value Experience working in a global or multinational team setting Strong communication and collaboration skills Focus on simplicity, automation and observability Bachelor's or master's degree in computer science or related field Expertise in Python, Golang, SQL, Apigee Desirable Experience building and integrating agentic RAG solutions into data pipelines Experience with data cataloguing capabilities Domain knowledge of financial market data and financial index data models and feeds What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be . About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX(R) and DAX(R) indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50(R), STOXX(R) Europe 600 and DAX(R), the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Let's empower, collaborate, and inspire one another. Let's be !ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its approximately

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.

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.

The Role

As a Software Architect / Solutions Architect at Air Apps, you will be responsible for defining and overseeing the overall system architecture for our AI-powered platform. You will collaborate with engineering teams, product managers, and stakeholders to design scalable, secure, and high-performing solutions that align with business objectives.

You will play a key role in shaping our technology strategy, evaluating new tools and frameworks, and ensuring best practices in software design, cloud infrastructure, and system integration.

• This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.

Responsibilities

• Define and maintain the overall architecture and system design for scalable and efficient software solutions.
• Provide technical leadership to engineering teams, guiding them in best practices for architecture, coding, and system scalability.
• Design and document high-level system diagrams, data flows, and API structures.
• Evaluate and recommend technologies, frameworks, and cloud services to optimize performance, security, and cost-efficiency.
• Ensure high availability, fault tolerance, and security in all architectural decisions.
• Oversee system integrations, including microservices, APIs, and third-party services.
• Work closely with DevOps and SRE teams to ensure smooth deployment and operational reliability.
• Establish coding and architecture standards, ensuring maintainability and scalability of codebases.
• Identify and mitigate technical risks, ensuring system resilience and future scalability.
• Conduct architecture reviews and performance audits to continuously improve system efficiency.

Requirements

• Around 6+ years of experience in software development and architecture.
• Strong expertise in system design, cloud computing, and microservices architecture.
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architectures.
• Proficiency in backend technologies (e.g., Node.js, Python, Java, .NET) and experience with modern frontend frameworks (e.g., React, Angular, Vue).
• Knowledge of databases (SQL and NoSQL), caching strategies, and data pipelines.
• Experience with event-driven architectures, API design, and containerization (Docker, Kubernetes).
• Strong understanding of security best practices, identity management, and encryption techniques.
• Ability to evaluate trade-offs in architectural decisions, balancing scalability, cost, and complexity.
• Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
• Strong communication skills, with the ability to explain complex architectural concepts to technical and non-technical stakeholders.

What benefits are we offering?

• Apple hardware ecosystem for work.
• Annual Bonus
• Top-tier Health and Life Insurance for peace of mind.
• Transportation Budget to support your commute needs.
• Coverflex benefits package for meal allowances, well-being, and more.
• Childcare support.
• Air Conference - an opportunity to meet the team, collaborate, and grow together.
• Pension Fund to support your long-term financial planning.
• Urban Sports Club membership to keep you active.
• Meals 100% free at the hub.

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.