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.

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 Mission 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 3+ 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 basesExperience 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:

Healthcare Benefits

• US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits

• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan

• US Roles: Traditional 401(k), Roth, and after tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Senior Robotics Software Engineer C++

London EC1V - Hybrid

Build software that powers unmanned systems already deployed in the real world.

At sees.ai, we’ve developed a system that is already being used to inspect critical national infrastructure - operating in live environments, not simulations.

Now, following a major contract with National Grid and recent investment, we’re scaling that system into a robust, production ready platform.

We’re looking for a Senior C++ Software Engineer to help take a working system and evolve it into something reliable, scalable, and ready for wider deployment.

The Role

This is a systems focused engineering role, not a narrow backend position.

You’ll work across the core software stack that powers our unmanned systems - contributing to everything from flight control and mission systems, through to simulation, connectivity, and operator interfaces.

You’ll be working on software that directly impacts how the system behaves in the field, with a short feedback loop between development and real world use.

This is an environment where:

• Systems are already deployed and used in live operations
• Issues are visible, tangible, and worth solving
• Improvements can be tested and validated quickly

You’ll balance hands on development and debugging with longer term architectural thinking as the platform evolves.

What You’ll Be Doing

• Developing and maintaining features across the unmanned systems software stack
• Working on systems including:
  • Flight and mission control
  • Autonomy algorithms (e.g. path planning, obstacle avoidance)
  • Pilot interfaces with 3D visualisation
  • Connectivity between drone and control systems
  • Simulation and testing environments
• Debugging and improving system behaviour based on real world operational feedback
• Supporting testing and deployment alongside integration and operations teams
• Writing tests, documentation, and improving system reliability
• Contributing to architecture and technical direction as we scale

What You’ll Bring

• Strong experience in modern C++ (production systems)
• Solid understanding of software design, architecture, and debugging complex systems
• Interest in or exposure to robotics / autonomous systems, such as:

• Control systems
• Sensor fusion
• Path planning

• Experience working in Linux environments
• A pragmatic mindset - able to balance speed, reliability, and real world constraints

Nice to Have

• Python (for tooling, testing, or analysis)
• Experience with simulation environments
• Networking or distributed systems knowledge
• Familiarity with CMake or similar build systems
• Experience with robotics, embedded systems, or real world autonomous platforms

How You’ll Work

This role suits someone who:

• Enjoys working across the full system, not just one layer
• Wants to see their work used and tested in the real world
• Takes ownership of problems and follows them through to resolution
• Is comfortable with ambiguity and evolving systems
• Thrives in a collaborative, fast moving team

Why Join sees.ai

• See your code deployed on operational systems within days
• Work on problems where software meets the physical world
• Be part of a high performing, innovative and motivated team scaling a proven system into production
• Contribute to technology with visible impact on the world’s energy security
• sees.ai has a friendly, down to earth culture where people enjoy working together and take pride in what they build.
• Teams collaborate closely across engineering, operations and commercial roles, sharing ideas openly and supporting each other to solve complex problems.
• There is real excitement in working on cutting edge autonomous technology, but it is balanced by a thoughtful, responsible approach.

About sees.ai

We’re building the operating system for large scale unmanned inspection operations - enabling systems to be controlled remotely and deployed reliably in real world environments.

Our technology is transforming how critical infrastructure is inspected, making it safer, more efficient, and scalable.

You’ll join at a pivotal stage, where a working system is being scaled into a robust platform, and where your work will directly shape how that happens.

GSMA is seeking a Senior AI Engineer to join its team in London, contributing to the organisation’s mission of advancing the mobile ecosystem and enabling innovation across global digital infrastructure. This role sits within GSMA’s data and technology function and focuses on designing, developing, and deploying advanced artificial intelligence solutions to support internal operations, member services, and industry initiatives.

Responsibilities

The successful candidate will play a key role in building scalable AI and machine learning systems, working closely with cross functional teams to translate business requirements into technical solutions. Responsibilities include developing and optimising machine learning models, implementing data pipelines, and ensuring the robustness and scalability of AI driven applications. The role also involves contributing to AI strategy, evaluating emerging technologies, and promoting best practices in responsible and ethical AI deployment.

Stakeholder Engagement and Mentoring

The position requires engagement with stakeholders across the organisation, including product teams, analysts, and external partners, to deliver impactful solutions that enhance data driven decision making. The Senior AI Engineer will also contribute to knowledge sharing and mentoring within the team, supporting a culture of innovation and continuous improvement.

Eligibility Criteria

• Applicants should hold a degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or possess equivalent professional experience.
• Significant experience in AI/ML engineering roles is required, with a demonstrated track record of delivering production grade solutions.

Required Expertise / Skills

• Strong proficiency in programming languages such as Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
• Expertise in data engineering, including building and managing data pipelines and working with large datasets.
• Solid understanding of machine learning algorithms, model evaluation, and deployment practices.
• Experience with cloud platforms and scalable architectures is highly desirable.

Personal Attributes

• Candidates should demonstrate strong problem solving skills, the ability to work collaboratively in multidisciplinary teams, and excellent communication skills to translate technical concepts for non technical stakeholders.
• Familiarity with ethical AI principles and governance frameworks is an advantage.

About Marex

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas.

Role Summary

As a Senior Developer specialising in C# .NET, you will be a pivotal member of our Software Development team, driving an AI first approach to the creation and enhancement of secure, responsive web based finance platforms. These platforms will modernise and extend core PeopleSoft finance capabilities, delivering improved usability, performance, and scalability through contemporary web technologies.

You will leverage modern AI assisted development tools and practices to accelerate delivery, improve code quality, and enhance developer productivity, while ensuring solutions meet the high standards of control, auditability, and reliability required within financial systems, including compliance with SOX (Sarbanes Oxley) requirements.

Your expertise in C# .NET, combined with your ability to apply AI driven techniques across the software development lifecycle, will be instrumental in delivering robust, scalable, and well governed applications. You will maintain a strong emphasis on testing, traceability, and deterministic system behaviour, ensuring that AI adoption enhances-rather than compromises-system integrity, auditability, and regulatory compliance.

In this role, you will apply your architectural experience to help mature our existing software estate, introducing intelligent automation where appropriate and transforming legacy PeopleSoft based functionality into cloud native, web first solutions. You will work closely with the platform engineering team to ensure seamless integration and deployment, while embedding AI enabled tooling and practices in a controlled, transparent, and compliant manner across the development lifecycle.

Responsibilities

• Design, develop, and test components of modern, secure web based finance applications, applying AI assisted development practices to improve quality and delivery speed
• Contribute to the overall architecture and design of technology solutions, incorporating AI enabled tooling and automation while ensuring control, transparency, and auditability
• Develop solutions to a high standard that are maintainable, testable, and aligned to acceptance criteria, with a strong emphasis on traceability and deterministic behaviour in regulated environments
• Adhere to development best practices and processes, including those required for SOX compliance (e.g. change control, segregation of duties, and auditability)
• Leverage AI tools responsibly across the software development lifecycle (e.g. code generation, testing, documentation), ensuring outputs are reviewed, validated, and compliant with engineering standards
• Communicate effectively with team members, contribute ideas, and stay current with emerging technologies, particularly in AI and modern engineering practices
• Liaise with business users to gather and refine application requirements, particularly in the context of modernising legacy finance platforms (e.g. PeopleSoft)
• Ensure delivered systems are production ready, secure, and well documented, supporting operational handover and ongoing audit requirements
• Follow coding standards and defined development processes, ensuring consistency, quality, and compliance across all deliverables
• Resolve third line support issues in a professional and timely manner, applying a structured and analytical approach to problem solving

Skills and Experience

Essential:

• Experience in C# .NET, React, JavaScript, TypeScript
• Experience leveraging AI assisted development tools (e.g. code generation, automated testing, developer productivity tooling) to improve delivery speed and quality
• Strong understanding of applying AI responsibly within the software development lifecycle, ensuring traceability, auditability, and control
• Experience of NoSQL or RDMS databases
• Infrastructure as Code, Terraform or equivalent
• Modern CI/CD and DevOps practices
• Cloud technology, ideally AWS (Amazon Web Services)
• Knowledge of BDD/TDD
• Agile and scrum development methodologies
• Methodical approach to software architecture and design and experience employing the right design choices for a given project
• Understanding of controls required in regulated environments, including SOX (Sarbanes Oxley), with a focus on auditability, segregation of duties, and change control
• Excellent verbal and written communication skills

Desirable:

• A collaborative team player, approachable, self efficient, and able to foster a positive engineering culture, including adoption of AI first practices
• Demonstrates curiosity, particularly in emerging technologies, AI capabilities, and continuous improvement of development practices
• Resilient in a challenging, fast paced, and regulated environment
• Excels at building relationships, networking, and influencing others across both technical and business teams
• Strategic collaborator with insight and agility, able to anticipate future challenges, including those related to scale, regulation, and technology evolution, ensuring operational effectiveness

Competencies

• Dynamic work ethic: ability to adapt to changing electronic trading environment and proactively learn new technologies
• Proactive and willingness to pick up issues
• Calm demeanour
• Excellent verbal and written communication skills
• A collaborative team player, approachable, self efficient and influences a positive work environment
• Demonstrates curiosity
• Resilient in a challenging, fast paced environment
• Excels at building relationships, networking and influencing others
• Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness

Legal and Equal Opportunity Statement

Marex is fully committed to the elimination of unlawful or unfair discrimination and values the differences that a diverse workforce brings to the company.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As our product evolves, our evaluations must remain fast, accurate, and actionable. In this role, you will build the data flywheel that serves teams across Perplexity.

Responsibilities

• Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
• Take ownership of the “evals-to-product” loop, autonomously determining the best way to turn raw signals into durable datasets that power decision making across the company
• Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped
• Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly
• Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality

Qualifications

• 3+ years of software engineering experience shipping production systems
• Strong proficiency in Python and SQL with the ability to write production grade, maintainable code
• Experience with big data systems including distributed compute and large-scale storage
• Solid fundamentals in data modeling, system design, and debugging distributed systems
• Experience with AWS and lakehouse ecosystems like Databricks or Spark
• Comfortable with agentic coding workflows and using AI assisted development tools to iterate faster

Preferred Qualifications

• Data engineering background including pipelines, orchestration, and warehousing patterns
• Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads
• Experience with evaluation platforms, experimentation systems, or machine learning infrastructure
• Prior work supporting customer facing products at scale

Location

London

Employment Type

Full time

Location Type

Hybrid

Department

AI

We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.

Responsibilities

• Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
• Manage and optimize Slurm-based HPC environments for distributed training of large language models
• Develop robust APIs and orchestration systems for both training pipelines and inference services
• Implement resource scheduling and job management systems across heterogeneous compute environments
• Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
• Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
• Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
• Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands

Qualifications

• Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
• Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
• Experience with deploying and managing distributed training systems at scale
• Deep understanding of container orchestration and distributed systems architecture
• High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
• Experience managing GPU clusters and optimizing compute resource utilization

Required Skills

• Expert-level Kubernetes administration and YAML configuration management
• Proficiency with Slurm job scheduling, resource management, and cluster configuration
• Python and C++ programming with focus on systems and infrastructure automation
• Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
• Strong understanding of networking, storage, and compute resource management for ML workloads
• Experience developing APIs and managing distributed systems for both batch and real-time workloads
• Solid debugging and monitoring skills with expertise in observability tools for containerized environments

Preferred Skills

• Experience with Kubernetes operators and custom controllers for ML workloads
• Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
• Familiarity with GPU cluster management and CUDA optimization
• Experience with other ML frameworks like TensorFlow or distributed training libraries
• Background in HPC environments, parallel computing, and high-performance networking
• Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
• Experience with container registries, image optimization, and multi-stage builds for ML workloads

Required Experience

• Demonstrated experience managing large-scale Kubernetes deployments in production environments
• Proven track record with Slurm cluster administration and HPC workload management
• Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
• Experience supporting both long-running training jobs and high-availability inference services
• Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Forward Deployed Engineer

Full time

Hybrid

London preferred, UK wide considered

Capitol AI builds sovereign intelligence infrastructure for the world’s most consequential institutions. A wrong answer here carries regulatory, financial, or national security weight. The platform deploys entirely within customer controlled environments, transforming proprietary data into auditable, repeatable, decision grade artifacts with no data egress and full traceability.

We are expanding across the United Kingdom. Our clients span central government departments, City financial institutions, and global professional services firms: environments where precision, discretion, and institutional trust are the baseline, not the benchmark.

This Forward Deployed Engineer role is the technical and strategic presence at the point of deployment. You are the person who makes Capitol’s infrastructure work inside some of the most demanding and consequential environments in the country.

The Role

You will own the full deployment lifecycle: from technical integration and workflow configuration through stakeholder enablement and ongoing production support. You will work directly with analysts, compliance teams, procurement leads, and senior executives across UK government agencies, financial institutions, and professional services firms. Some client environments will involve classified or sensitive data handling, and you will be expected to operate with the appropriate levels of rigour and discretion.

Responsibilities

• Partner with enterprise clients to understand their data landscape, business objectives, and technical constraints, translating institutional requirements into governed, production grade AI deployments.
• Design and deploy agentic AI applications that integrate Capitol’s core platform into customer systems and mission critical workflows, including secure and restricted environments.
• Build connectors, data pipelines, and custom integrations that enable proprietary data to flow securely and efficiently within customer controlled infrastructure.
• Prototype and deliver new use cases leveraging large language models, retrieval augmented generation, and multi agent orchestration, configured to institutional standards.
• Serve as a trusted technical advisor across pilots, integrations, and scaled production deployments, navigating complex stakeholder environments with composure and credibility.
• Collaborate with Capitol’s product and engineering teams to surface frontline client insights that shape roadmap priorities and implementation frameworks.
• Contribute to reusable implementation playbooks, documentation, and best practices that accelerate deployment across UK and EU client accounts.

Qualifications

• 3 to 7+ years of experience in software engineering, data engineering, or applied ML, ideally in a customer facing, consulting, or deployment capacity.
• Proficiency in Python, TypeScript, or equivalent; hands on experience with APIs, cloud infrastructure (AWS, GCP, or Azure), and data processing pipelines.
• Direct experience deploying AI technologies including LLMs, RAG architectures, embeddings, and vector databases within complex enterprise environments.
• Demonstrable ability to work directly with enterprise clients, including C suite, technical leads, and procurement or compliance stakeholders.
• Comfortable operating autonomously in fast moving, ambiguous environments where the deployment playbook is still being written.
• Familiarity with regulated or sensitive data environments in financial services, public sector, or defence, and the governance requirements that accompany them.
• Based in the United Kingdom, with willingness to travel to client sites across the UK and, where required, the EU.

Security Clearance

SC or DV clearance is a meaningful advantage, particularly for UK government and defence facing deployments, and will determine the scope of environments you are eligible to support. Candidates without existing clearance are welcome to apply. The right profile and eligibility matter more than current status, and sponsorship pathways are available for suitable candidates.

Strongly Valued

• Prior experience working within or alongside UK central government, HMRC, MoD, intelligence community, or equivalent public sector bodies.
• Background in City financial services, investment management, or regulatory compliance.
• Experience with global professional services firms (Big Four, strategy consultancies, legal) on technology deployment engagements.
• Familiarity with UK data sovereignty requirements, GDPR compliance, and AI governance frameworks in regulated industries.
• Experience with multimodal content generation, document processing, or structured report production at scale.
• Prior work at an AI, data, or B2B SaaS company, or in a solutions engineering or implementation specialist capacity.

What We Offer

• A front row seat at the deployment frontier of sovereign AI infrastructure: work that matters, in environments where it shows.
• Direct collaboration with Capitol’s founding team, with significant influence over the UK go to market.
• Hybrid and remote flexible working, with the expectation of regular client site presence across the UK.
• The opportunity to define implementation standards for one of the fastest growing enterprise AI platforms serving Western sovereign institutions.

Senior Fullstack Engineer (Admin & AI Enablement)

Team: Admin & AI Enablement

Location: Remote / London / Hybrid (TBD)

This role will be a key part of building Midnite’s new internal back office platform and shaping how internal tools evolve across the business. You’ll work across the stack to deliver high-quality admin experiences used by teams every day, while also contributing to practical AI enabled improvements in both internal tooling and engineering workflows. This is a senior individual contributor role with meaningful ownership, particularly across the frontend experience, working closely with Product, Design, and engineering teammates to build scalable systems from the ground up.

Job Responsibilities

• Build full stack features for Midnite’s internal back office platform.
• Own features end to end across backend APIs and internal UIs.
• Write production code across Python backend and modern front end technologies, primarily Vue + Tailwind.
• Work closely with Product and Design to implement high quality internal experiences.
• Design and build APIs as part of full stack feature delivery.
• Contribute to practical AI enabled features and internal tooling improvements.
• Explore ways AI and automation can improve engineering workflows and team efficiency.
• Participate in code reviews and maintain a high quality bar across the codebase.
• Mentor junior engineers and contribute to raising the technical standard of the team.

Required Qualifications

• Brings 5+ years of engineering experience across front end and back end.
• Has strong front end capability in a modern JavaScript framework such as Vue, React, or Angular.
• Has back end development experience in Python or a similar language.
• Can build end to end features across UI, API, and database layers.
• Has worked closely with Product to build good product experiences.
• Brings strong ownership and can operate effectively in a fast moving, ambiguous environment.
• Has an interest in AI tooling, automation, and practical experimentation.
• Communicates clearly and works well with Product, Design, and engineering teammates.

Benefits

• Private health insurance with zero excess, including optical cover and optional dental.
• Income protection to protect your earnings and give you peace of mind.
• Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years.
• Flexible working and a fully supported home office setup so you can do your best work from home.
• Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
• Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.
• Retail discounts and subscription perks across a wide range of brands.
• Quarterly team socials to connect, celebrate and have fun together.

At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders.

We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role.

Who We Are

AND Digital is a tech company dedicated to accelerating digital delivery and closing the digital skills gap. Since 2014, we have supported organisations in building better digital products and stronger digital teams.

We believe our work should always create a remarkable impact for our clients. Through our regional offices, known as ‘Clubs,’ we build strong relationships with our partners, ensuring they are prioritised by teams located nearby.

This unique model has driven success for both our clients and ourselves, reflected in our remarkable organic growth since 2014. Today, we are over 1,300 people strong, with Clubs across the UK, Europe, and the USA-and plans for global expansion in the coming years.

Join us and help fulfil our mission to close the world’s digital skills gap.

Solution Director - Data & AI

As a Technical Solution Director in our Clubs, you’ll shape and drive the growth of AND’s Data & AI business. You’ll define our go to market strategy, build strong partnerships across the ecosystem, and guide delivery through AND’s unique club model. Acting as a senior advisor to clients, you’ll design transformative Data & AI solutions while growing internal capability and technical excellence.

What You’ll Do

• Lead our propositions and Practice IP
• Own and evolve AND’s Data & AI proposition, partnerships, and thought leadership.
• Be a visible leader in the Data community-driving consistency, quality, and innovation.
• Develop training and mentoring to grow internal capability.
• Engage with clients
• Act as a trusted advisor to C suite stakeholders (CTO/CDO/CPO).
• Build relationships that uncover client challenges and opportunities.
• Show the art of the possible in Data & AI, connecting innovation to measurable outcomes.
• Shape solutions
• Translate complex business needs into compelling, value driven Data & AI solutions.
• Guide teams to deliver against vision and ensure robust, outcome focused delivery.
• Support business case development and pre sales.
• Drive growth
• Identify, qualify, and shape new opportunities across AND.
• Partner with Client Teams to develop deals, coach others, and influence outcomes.
• Achieve a leveraged revenue impact target of around £2m+.
• Lead and inspire
• Provide senior oversight, coaching, and technical challenge across engagements.
• Champion excellence and act as a role model for proactive, positive leadership.

What You Bring

• Deep expertise across data platforms, AI/ML, cloud architectures, and analytics.
• Strategic mindset - able to connect technology to business vision.
• Strong problem solving and design thinking skills.
• Exceptional communication - from boardroom to engineering team.
• Influential leadership without formal authority.
• Commercial awareness and a growth mindset.
• Curiosity, adaptability, and commitment to continuous learning.

Why join AND Digital?

We have three core values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem solving.

By Joining AND, We’ll Provide

• Opportunities to work on projects with big clients and produce meaningful work that makes a genuine difference to people’s lives.
• A “Blended Working” model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery.
• The benefits of having a small company feel through being part of an autonomous Club, while being able to take in the benefits of a larger organisation.
• A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self.
• A safe environment for you to be yourself and challenge yourself.

Benefits

• 25 days holiday allowance + bank holidays
• Flexible bank holidays
• Share scheme
• A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
• Private medical insurance
• 6% employer pension contribution, when you contribute 2%
• PLUS many more

Equal Opportunities Statement

We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities, and individuals with disabilities. We consider all flexible working arrangements, subject to the requirements of the role. Where reasonable adjustments are needed, we will strive to make changes to accommodate them.

People Systems & AI Specialist

FTC - 6 months
Salary - £45,000 per year pro rata

Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our “Powerhouse” goal. This is a dedicated, fixed term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as is possible.

You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify “admin-heavy” workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don’t just store information, but actively drive better decision making across the business and continue to be systems of engagement.

Key Responsibilities

• HRIS Optimisation & Mastery: Conduct a deep diving audit of our current HRIS capabilities, clean up data structures and ensure we utilise 100% of the system’s potential to drive efficiency.
• Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g. contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations.
• AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis.
• Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless sign on experience for employees.
• Digital Upskilling: Act as a mentor to the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure.

Skills, Knowledge and Expertise

• Systems Expert: Deep experience with multiple HRIS platforms (e.g. HiBob, BambooHR, Workday) and a proven track record of complex implementations.
• Automation Fluency: No code/low code enthusiast with the ability to connect systems and automate triggers to save hundreds of hours of manual work.
• AI Practitioner: Hands on experience building custom agents or using LLMs to solve specific operational problems.
• Data Visualisation: Comprehensive skills in Tableau, PowerBI, or Google Looker Studio, with the ability to turn “messy data” into a clear, strategic story.
• Project Management Rigour: Ruthlessly organised, focusing on Minimum Viable Products and rapid delivery cycles, especially in a fixed term context.
• Translator Ability: Flexibility to relate complex information and processes to engineering squads and People team specialists, ensuring everyone is aligned on the digital roadmap.

Benefits

• 30 days Holiday - 30 days of paid annual leave plus bank holidays (pro rata).
• Paid counselling - financial and legal advice available.
• Flexible benefit platform including a Smart Tech scheme, Cycle to Work scheme and an individual benefits allowance for health care cash plan or pension plan.
• Optional social and wellbeing calendar of events for employees to join if they choose.

We encourage people from under represented groups to apply for roles with us.

Location: Any UK Office Hub (Bristol / London / Manchester / Swansea)

Join us in our mission to use technology to improve society for everyone.

Rust Engineer About Keyrock

Since our beginnings in 2017, we’ve grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.

Today, we rock with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.

We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.

But we’re more than a service provider. We’re an initiator. We’re pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry’s progress with our research and governance initiatives.

At Keyrock, we’re not just envisioning the future of digital assets. We’re actively building it.

Mission statement

We are seeking a Rust Engineer with trading experience and AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and demonstrable experience engineering mission-critical trading systems are at a significant advantage but we welcome applications from other backgrounds too.

As part of the engineering team in Capital Markets, you will drive continuous improvement in trading infrastructure and system performance. You will join a highly-profitable, fast-paced division within Keyrock, where you will be able to make a big impact while collaborating in a global, fully-remote team. This role is open to candidates located in European time zones.

Job description

• Develop and optimise low-latency, mission-critical trading systems
• Collaborate with quants, traders, and engineers to enhance trading strategies
• Maintain and improve trading infrastructure, ensuring high performance and stability
• Design and implement efficient, scalable, and resilient trading solutions
• Troubleshoot and enhance exchange connectivity and execution speed
• Support functional and component testing for critical trading components

Background and experience

Technical Skills

• Strong experience in Rust (proficiency with Tokio framework is a bonus)
• Prior experience in a trading environment (HFT, Market Making, Prop Trading, or similar)
• Knowledge of AWS, Linux systems, shell scripting, and troubleshooting
• Experience with Python and/or scripting languages for trading strategy development
• Familiarity with trading systems, FIX / REST / WebSocket APIs, and market data feeds
• Understanding of networking fundamentals (latency, TCP / UDP, packet analysis)
• Proficiency in cloud and containerised environments (EKS, Kubernetes, Docker)

Soft Skills & Competencies

Ownership & Reliability - Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise.

Initiative & Problem-Solving - Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions.

Operational Diligence - Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes.

Curiosity & Growth Mindset - Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you.

Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team.

Our recruitment philosophy

We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We’re after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.

Our offer

• A competitive salary package
• Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
• The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.

Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What’s the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group’s full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low latency, high reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

These are indicative, not hard requirements.

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands on experience with one or more of the following:
  • Model training (especially transformers and LLMs).
  • Model inference at scale (again, especially transformers and LLMs).
  • Low level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings.

Benefits

• Competitive salary and equity in a fast-growing start up.
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
• Unlimited access to Claude Code and best class AI tools; experimentation & building is encouraged & celebrated.
• Pension scheme & match up to 4%.
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
• Flexible paid time off policy.
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
• If you’re cycling, we’ve got you covered on the Cycle to Work Scheme. With secure bike storage too.
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients’ most important challenges? We are growing and are looking for people to join our team. You’ll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

Job Overview

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands on professionals to design and deliver client centric intelligent systems and support business growth through strategic pre sales and solutioning initiatives.

Key Responsibilities

• Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise grade use cases.
• Develop modular code for task decomposition, memory handling, and tool integration with APIs.
• Collaborate with AI strategists and architects on project design and MVP delivery.
• Conduct testing and fine tuning of agent behavior using LLM APIs and embeddings.
• Participate in internal code reviews, documentation, and reusable framework building.
• Support pre sales demos and client innovation sessions with hands on prototypes.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or related field. PhD preferred for architect level roles.
• 3+ years in AI/ML, with recent experience in agentic systems and hands on development of LLM based applications.
• Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
• Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.
• Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment.
• Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.
• Exceptional communication and consulting skills, with the ability to present solutions to both technical and non technical stakeholders.

Preferred Skills

• Strong proficiency in programming languages such as Python, Java, Spring, Maven, JSON. Object Oriented Programming.
• Hands on exposure to cognitive architectures, planning based agents, or reinforcement learning in real world deployments.
• Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
• Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

I am looking for a Data Scientist to join a fast-growing clean energy developer working across solar PV, battery energy storage (BESS), and next-generation energy technologies in the UK. This is not a typical entry-level role; you’ll be embedded in a high-impact engineering and development team, applying data science to projects that directly influence how energy is generated, stored, and distributed.

About the Company

A dynamic and rapidly scaling clean energy developer with a multi-gigawatt pipeline of solar and battery storage projects across the UK. The team has a strong track record of delivering projects from concept through to consent. You’ll be joining a close-knit, entrepreneurial team where your ideas are heard, your work has visible impact, and your career can accelerate quickly. The business is also exploring emerging areas such as data centres and onshore wind, offering exposure beyond traditional renewables.

What You’ll Be Doing

• Build and maintain geospatial screening tools to identify and rank development sites
• Develop energy market models & revenue forecasts for solar and BESS projects
• Create dashboards and automated reporting tools to track performance and pipeline progress
• Work with large, complex datasets (grid, weather, project data)
• Support engineering teams with power systems analysis and statistical modelling
• Apply machine learning techniques for yield prediction and optimisation
• Contribute to technical reports, planning submissions, and investor materials

What We’re Looking For

• Strong Python skills (pandas, NumPy, scikit-learn, matplotlib)
• Experience with SQL and relational databases
• Exposure to geospatial tools (QGIS, GeoPandas, or similar)
• Solid understanding of statistics and machine learning fundamentals
• Interest in renewable energy, power systems, or infrastructure
• Experience with data visualisation tools (Power BI, Plotly, Streamlit) is a plus
• Strong communication skills and ability to explain technical concepts clearly
• Proactive, curious mindset with a desire to learn and grow

Why Apply?

• Work on high-impact renewable energy projects shaping the UK’s energy future
• Gain exposure to engineering, energy markets, and infrastructure development
• Be part of a growing, entrepreneurial team with real autonomy
• Accelerate your career in one of the fastest-growing sectors globally

Junior Algorithmic Power Trader

Full-time (shift-based, including weekends)
London - Paddington

At Quark, we bring together talented people across energy trading, quantitative research, and software engineering to build algorithmic trading systems for electricity markets.

We are a proprietary trading firm focused on developing algorithmic and high-frequency trading strategies in power markets, an area where automation is rapidly transforming how electricity markets operate.

Quark was founded in 2020 as a joint venture between Liger Investments and Habitat Energy.

Liger Investments is a global proprietary trading firm specialising in algorithmic trading of futures and derivatives across major exchanges. Habitat Energy optimises flexible energy assets across the UK, Australian and US electricity markets and brings deep electricity market and data science expertise. Habitat Energy is a portfolio company of Quinbrook Infrastructure Partners.

We are looking for analytical, curious and highly motivated individuals who want to work at the intersection of quantitative analysis, software systems and real-time trading.

This is a hands-on trading role where you will learn how automated strategies interact with live electricity markets, work closely with traders and quantitative developers, and contribute to improving our trading performance.

Key Responsibilities

• Monitor and manage the real-time execution of algorithmic trading strategies
• Manage open market risk when required
• Work with senior traders and quantitative developers to adjust strategy parameters and identify new trading opportunities
• Test and evaluate trading strategies using historical and live market data
• Perform post-trade analysis to understand performance and identify improvements
• Contribute ideas to improve trading tools, monitoring systems, and processes
• Produce structured market analysis to support trading decisions

Working Pattern

This is a shift-based role and requires:

• Working every Saturday and Sunday
• Three additional weekdays (Monday-Friday)
• Some early morning or late evening shifts
• Selected Bank holiday coverage

The role is based in our Paddington office in London.

Part of the initial training will take place in Kraków, where our development team is based.

Candidates should apply only if they are comfortable with this working pattern.

Requirements

We are looking for candidates with strong analytical ability and the motivation to operate in a fast-moving, data-driven trading environment.

Essential

• Strong numerical and problem-solving skills
• Ability to analyse data and reason about complex systems
• Python programming experience
• Ability to communicate complex ideas clearly and concisely
• High level of attention to detail and accountability

Typical background

• Degree in Mathematics, Physics, Engineering, Computer Science, Economics or another quantitative discipline
• Strong academic performance

Nice to Have

• Understanding of electricity market dynamics, particularly UK or European prompt power markets
• Experience working with data analysis or statistical modelling
• Familiarity with trading, probability, or risk-based decision making
• Interest in strategic games involving probabilistic thinking (e.g. poker, strategy games)

What We Offer

• Salary: £45,000 -£ 50,000 + performance bonus
• Direct exposure to live algorithmic trading systems
• Opportunity to work closely with experienced traders, quantitative researchers, and engineers
• A collaborative and intellectually challenging environment
• Significant opportunities for learning and career development

Eligibility

Applicants must have the right to work in the UK.
Unfortunately we are not able to sponsor visas for this role.

You’ll join a cross functional squad in London that owns native Android loyalty experiences as well as GraphQL backed services that power them, working closely with product, design, data, and other engineering teams across EG.

In this role, you will:

• Design, develop, and maintain Android applications using Kotlin, focusing on clean architecture, testability, and long term maintainability.
• Implement high quality UI and interaction flows that align with UX specifications, ensuring performance, accessibility, and consistency with platform guidelines.
• Collaborate with cross functional partners, including product, design, and backend teams, to define requirements, surface tradeoffs, and deliver features that improve traveler and partner experiences.
• Contribute to system design for mobile components, including API consumption patterns, data modeling for local persistence, and integration with backend services and SDKs.
• Write and maintain unit, integration, and UI tests, participate in code reviews, and follow engineering best practices to ensure reliability, observability, and operational excellence of mobile features.
• Apply familiarity with AI driven systems, tools, or workflows and AI/ML concepts to enhance mobile experiences, and safely integrate and operate AI/ML enabled solutions that improve outcomes.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related technical field; or equivalent practical experience in mobile software development.
• Professional experience building and shipping Android applications using Kotlin in a production environment, including working with GraphQL, consuming RESTful APIs and working with JSON based data models.
• Experience owning features or components within a mobile application, from implementation through testing, release, and ongoing maintenance and support.
• Proficiency with core Android development tools and frameworks (such as Jetpack Compose, Android SDK, Gradle, and common architectural patterns like MVVM or MVI), including basic system design for app modules, API interactions, and data persistence.
• Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products at a feature or component level.

Preferred Qualifications:

• Experience designing and evolving modular Android architectures, including clear data models, API interaction layers, and low level design (LLD) for complex features across multiple app surfaces.
• Background working on large scale or high traffic mobile applications, with an emphasis on performance optimization, stability, monitoring, and operational excellence.
• Demonstrated ability to collaborate on mobile architecture decisions, contribute to technical design documents, and influence patterns for API design and data modeling across teams.
• Practice using experimentation, metrics, and data to inform mobile feature decisions, improve user journeys, and refine implementation details.
• Experience integrating or extending AI/ML enabled functionality in mobile applications in a safe and user centric way, such as recommendations, personalization, or intelligent assistance, and demonstrated experience taking products or features from concept to scaled adoption.

Accommodation requests:

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

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.

TheSolutions Architect (AI/BI) 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 (AI/BI) is paired with an Account Executive aligned to a given 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 clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands on experience with Apache Spark, Python and SQL

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and “champion,” building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer facing collateral that helps increase technical knowledge and thought leadership.
• 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 environments.
• 6+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level data strategy and product adoption.
• Proven ability to co plan large territories with Account Executives and operate in a highly coordinated, cross functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem solving using SQL and Python.
• Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast paced, customer facing environments.

About Databricks

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.

• Salary: Up to £85,250
• Location: Moorgate Station (Fully Onsite)
• Permanent position

Senior Consultant - AI Platform Deployment Engineer | Permanent | Fully onsite

• Salary: Up to £85,250
• Hybrid Model: 5 days on-site (for first 6-months), the role will become nearly fully remote after the initial client project.
• Role Location: Central London
• Industry: Financial Services

Job Summary:
My client, on of the UK’s leading IT Solutions & technology services organisations, are seeking a Senior Engineer to join their cutting-edge, rapidly expanding delivery practice on a permanent basis.

For the first 6 months you’ll be working directly with one of the most prominent names in global Financial Services on a large AI deployment project. The successful candidate will act as a hands-on technical engineer, using their hands-on skills with Python and Powershell to integrate & deploy pre-configured AI models for Azure AI Foundry and Azure OpenAI environments.

Key Responsibilities

• Deployment & integration of pre-configured AI Models using Python & Powershell
• Hands-on deployment using Azure AI Foundry and Azure OpenAI platforms, including model life cycle management and integration into client workflows.
• Contribute to upkeep of identity, access control, and security configurations.

Qualifications and Requirements:

• Python (strong hands-on) for deployment - ideally of AI models
• PowerShell (solid hands-on) for deployment - ideally of AI models
• Azure Foundry (at least an understanding or some experience of what it is/how it works) & OpenAI
• General Azure knowledge & experience
• Understanding of best practices & strong communication skills
• Recent experience within major Financial Services (highly desirable)
• Ideal Certification: Microsoft Certified Azure AI Engineer Associate (AI-102).

Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.
Computappoint do not use AI to filter or assess candidates; we use experienced and dedicated recruiters who want to match the best people to roles.

Citi’s Markets business is a leading global financial markets franchise, providing clients with a broad range of financial products and services across fixed income, currencies, commodities, equities, and prime finance. Within this dynamic environment, the Markets Quantitative Analytics team plays a critical role in developing and implementing cutting edge quantitative models and analytical tools to support trading activities, risk management, and client solutions. This role is specifically situated within the Commodities sector, contributing to the innovative application of quantitative strategies in a rapidly evolving market landscape.

As an Algorithmic Trading Quantitative Analyst (Vice President) within our Commodities team in London, you will be instrumental in designing, developing, and optimizing advanced electronic market making and algorithmic pricing models.

This is an exceptional opportunity to apply your quantitative expertise in a practical, production oriented setting, directly impacting trading operations and risk management. You will work within a closely integrated team, gaining exposure to the microstructure of commodities markets and contributing to the expansion of systematic strategies in a leading financial institution. This role offers the chance to bridge sophisticated theoretical models with tangible, real world trading outcomes, making a significant contribution to Citi’s competitive edge in the global commodities market.

Primary Responsibilities of the role

• Research, design, and implement electronic market making models, including hedging algorithms, bid offer models, price predictors, and automated pricing frameworks for Commodities.
• Analyze the performance of existing models in actual market making operations and provide recommendations for continuous improvement and optimization.
• Develop and extend functionality of current production models and build robust hedging strategies across various Commodity markets.
• Collaborate closely with traders, quants, and technologists to ensure models generate value, are optimally integrated, and are aligned with business objectives.
• Focus on thorough model testing and the practical implementation of appropriate models, ensuring their effectiveness and reliability in a live trading environment.
• Understand the balance between model sophistication and ease of implementation, striving for pragmatic solutions that achieve goals efficiently.

What we need from you

• Proven experience working in systematic trading, encompassing areas such as execution algorithms, statistical arbitrage, or electronic market making.
• Demonstrated success in solving practical problems, ideally within finance, using advanced statistical and machine learning techniques.
• Strong programming proficiency in Java/C++ and Python is essential, coupled with the ability to work effectively with large datasets.
• Proficiency in database applications, such as SQL and KDB, for data manipulation and analysis.
• M.S. or Ph.D. in a highly quantitative field such as mathematics, physics, statistics, engineering, or financial engineering.
• Attention to detail, strong problem solving capabilities, and the ability to articulate complex quantitative concepts in simple terms to diverse stakeholders.

If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today.

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

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.

For additional information, please review .Citi's Markets business is a leading global financial markets franchise, providing clients with a broad range of financial products and services across fixed income, currencies, commodities, equities, and prime finance. Within this dynamic environment, the Markets Quantitative Analytics team plays a critical role in developing and implementing cutting-edge quantitative models and analytical tools to support trading activities, risk management, and client solutions. This role is specifically situated within the Commodities sector, contributing to the innovative application of quantitative strategies in a rapidly evolving market landscape.As an Algorithmic Trading Quantitative Analyst (Vice President) within our Commodities team in London, you will be instrumental in designing, developing, and optimizing advanced electronic market-making and algorithmic pricing models.This is an exceptional opportunity to apply your quantitative expertise in a practical, production-oriented setting, directly impacting trading operations and risk management. You will work within a closely integrated team, gaining exposure to the microstructure of commodities markets and contributing to the expansion of systematic strategies in a leading financial institution. This role offers the chance to bridge sophisticated theoretical models with tangible, real-world trading outcomes, making a significant contribution to Citi's competitive edge in the global commodities market. Primary Responsibilities of the role Research, design, and implement electronic market-making models, including hedging algorithms, bid-offer models, price predictors, and automated pricing frameworks for Commodities. Analyze the performance of existing models in actual market-making operations and provide recommendations for continuous improvement and optimization. Develop and extend functionality of current production models and build robust hedging strategies across various Commodity markets. Collaborate closely with traders, quants, and technologists to ensure models generate value, are optimally integrated, and are aligned with business objectives. Focus on thorough model testing and the practical implementation of appropriate models, ensuring their effectiveness and reliability in a live trading environment. Understand the balance between model sophistication and ease of implementation, striving for pragmatic solutions that achieve goals efficiently. What we need from you Proven experience working in systematic trading, encompassing areas such as execution algorithms, statistical arbitrage, or electronic market making. Demonstrated success in solving practical problems, ideally within finance, using advanced statistical and machine learning techniques. Strong programming proficiency in Java/C++ and Python is essential, coupled with the ability to work effectively with large datasets. Proficiency in database applications, such as SQL and KDB, for data manipulation and analysis. M.S. or Ph.D. in a highly quantitative field such as mathematics, physics, statistics, engineering, or financial engineering. Attention to detail, strong problem-solving capabilities, and the ability to articulate complex quantitative concepts in simple terms to diverse stakeholders.If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today.This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Institutional Trading Job Family: Quantitative Analysis Time Type: Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. 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 . View Citi's and the poster.

Java / Microservices / API design / LLMs / AI / Claude Code / Copilot

Role: Senior Software Engineer

Company: Financial Services

Location: London - Hybrid 3 days per week

Salary: up to £120,000

Join a Service Modernisation team driving AI-first software development in financial services. This is a hands-on role modernising high-impact legacy services while building AI-powered engineering workflows.

What You’ll Do

• Modernise critical legacy Java services using AI-driven analysis and refactoring
• Apply migration patterns (e.g. strangler fig) to deliver clean, modern APIs
• Ship improvements in fast cycles with measurable gains in performance and reliability
• Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines
• Demonstrate how AI transforms developer productivity and code quality

What We’re Looking For

• 6+ years’ backend engineering experience (Java)
• Proven experience modernising production systems at scale
• Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs)
• Experience with MCP, AI automation, or agentic AI systems
• Strong understanding of microservices and API design

Java / Microservices / API design / LLMs / AI / Claude Code / Copilot