Artificial Intelligence Jobs

• London
• Hybrid
• £120,000 – £150,000 pa
• Director · manages people

Lead and build a data science function within a fintech, owning strategy across risk, affordability and lending decisioning. Design, build and deploy machine learning models using credit risk, Open Banking and customer data, working with Product, Engineering and Credit Risk teams. Requires hands-on Python, SQL and MLOps experience plus credit risk modelling in UK consumer lending.

Python · SQL

• United Kingdom
• Remote
• Mid-level

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. High visibility with senior leadership in a strategic deep learning and HPC area.

NVIDIA GPU · CSP

• Cambridge
• Senior

Serve as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Work directly with labs and faculty on large language model workloads, integrating frameworks and libraries into research projects. Deliver hands-on training, workshops and lectures, and track emerging research trends to shape prototype solutions.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Reading
• Senior

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Dublin, Ireland
• Hybrid · 2 days in office
• Lead

Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI, owning the roadmap and engineering standards. Hands-on role covering MLOps/LLMOps, CI/CD, IaC, Azure infrastructure and multi-agent orchestration frameworks, while mentoring engineers and acting as senior escalation point.

Azure · AWS · Terraform +4

• London
• Hybrid · 3 days in office
• £80,000 pa
• Senior
• Permanent

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products at speed. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping systems in scalable APIs and contributing to shared data and entity platforms, with weekly demonstrable output.

Python · TypeScript · SQL

• Manchester
• Hybrid · 3 days in office
• £80,000 – £90,000 pa
• Senior
• Permanent

Hands-on research engineering role investigating the internal behaviour and security of large language models, turning academic ideas into practical experiments in Python. Work spans model internals, data movement, training risk and safe deployment, alongside production-quality ML engineering, testing and code reviews. Requires active SC clearance and around three days per week on secure sites.

• Cambridge
• Senior

Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI and HPC workloads. The role involves contributing new optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.

GCC · LLVM · MLIR +7

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.

Python · React · TypeScript +1

• Zürich, Switzerland
• Entry level
• Internship

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

CUDA · OpenACC · OpenMP +4

• United Kingdom
• Remote
• Senior

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Sofia, Bulgaria
• Hybrid · 2 days in office
• Senior

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

Python · TypeScript · Terraform +7

• Kraków, Poland
• Hybrid · 2 days in office
• Senior
• Permanent

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training through serving, monitoring and MLOps, while coaching others and shaping reusable platform building blocks.

GCP · Vertex AI · BigQuery +6

• Witney
• Hybrid · 3 days in office
• £45,000 – £65,000 pa

Contribute to the design, development, verification and certification of embedded safety-critical systems providing runtime assurance for autonomous platforms. Define verification strategies, build test frameworks and certification evidence aligned with DO-178C, and perform requirements-based testing and traceability. Work in a specialised team on mathematically verifiable software foundations for aerospace and land autonomy.

DO-178C · ISO 26262 · IEC 61508 +4

• Salford
• Hybrid
• Mid-level

Builds production-grade generative AI solutions using Python, OpenAI and Anthropic LLMs, REST APIs and agentic technologies within a cross-functional engineering team. Offers freedom to experiment with emerging AI tooling such as Amazon Bedrock and LiteLLM, taking applications from proof of concept through to production.

OpenAI · Anthropic · GitHub Copilot +5