Artificial Intelligence Jobs

• London
• Hybrid
• Mid-level
• Permanent

You'll design, build and operate shared infrastructure for model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Working with security, IT and engineering teams, you'll create governed access layers, reusable tooling and standards so teams can run AI agents in production without one-off infrastructure.

Kubernetes · MCP · RAG

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a newly dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that let Wayve's onboard AI Driver run in real time. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

QNX · OpenTelemetry · Grafana +7

• London

Embed with strategic enterprise customers to design, architect and productionise custom fullstack data and AI applications on the Databricks platform. Work spans data engineering, ML/AI model integration, backend, frontend and stakeholder engagement, with accelerators fed back into the product roadmap. Requires up to 50% travel to client sites.

Databricks · OpenAI · Anthropic +7

• London
• Hybrid
• £65,000 – £145,000 pa

Expression of interest for engineers at all levels to join a government team building shared tooling and infrastructure for frontier AI security research. Work spans open-source Inspect plugins, large-scale evaluation systems, hosting open-weights models, secure model-access proxies, and custom research infrastructure.

Inspect

• London
• Hybrid
• £65,000 – £145,000 pa

Evaluates frontier and open-weight AI models for cybersecurity, autonomy and AI R&D capabilities, building realistic cyber ranges and CTF suites, running pre-deployment testing and validating novel model behaviours. Works alongside engineers and researchers with high autonomy, collaborating with UK government, frontier labs and NCSC.

Cyber Ranges · CTF · Claude

• London
• On-site
• £150,000 – £200,000 pa
• Mid-level
• Permanent

Develops and fine-tunes robot manipulation policies using behaviour cloning and reinforcement learning, then trains, evaluates and deploys models onto real humanoid hardware. Works within a specialist Manipulation team alongside simulation, teleoperation and controls engineers to improve sim-to-real transfer and training data quality. Distinct for being hands-on with physical robots rather than purely simulation or research.

PyTorch · JAX · OpenVLA +1

• London
• £37,000 – £40,000 pa
• Entry level

Join a two-year graduate programme in the telecommunications industry, developing and implementing AI and machine learning solutions for network performance, operational efficiency and customer experience. You will work with Python and AI frameworks, analyse large datasets, and collaborate with engineers and data specialists while considering AI ethics and governance.

Python

• Sheffield
• Hybrid
• £39,560 – £43,099 pa
• Entry level
• Contract

Postdoctoral role applying explainable NLP and machine learning to analyse online disinformation narratives, integrate findings into a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews. The researcher joins the European-funded ANTIGONE project, collaborating with multidisciplinary partners and leading publication of results in high-impact journals and conferences.

Chatbots · AI-Generated Search Overviews

• Butterrow
• £55,000 – £65,000 pa

Designs and builds real-time embedded software in C and C++ for sensors and microelectronics, alongside ML pipelines, CI/CD, and live model monitoring. Develops generative AI and LLM systems including RAG and fine-tuning, plus Spark or dbt ETL pipelines and IoT data services. Works in a small team owning the full SDLC from clean-sheet design to tested, deployed code.

Spark · dbt · CI/CD +1

• 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

• Gateshead
• Hybrid · 1–2 days in office
• £85,000 – £95,000 pa
• Lead

Hands-on technical leadership role owning AI development for a product-led platform, taking LLM-powered features from concept to production. Involves architectural decisions on LLM integration, retrieval systems, model selection, plus AI evaluation, monitoring, security and cost management, while mentoring engineers. No direct reports initially.

AWS Bedrock · Azure AI Foundry · Google Vertex AI +2

• London
• Hybrid · 1 day in office
• Senior · manages people
• Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node

• United Kingdom
• Remote
• Permanent

Builds core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Works on systems on the path of every request for millions of users, scoping changes in a large existing codebase, rolling out safely and debugging from customer reports and logs. Backend leaning with Python, shipping customer-facing features end to end.

OAuth · SSO · SCIM +2

• London
• Hybrid
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and defining standards for deploying ML at scale.

Scikit-learn · TensorFlow · PyTorch +5