Artificial Intelligence Jobs

• London
• Hybrid
• Senior · manages people
• Permanent

Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data and large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Flyte · Airflow · Dagster +6

• London
• Hybrid
• Mid-level
• Permanent

Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

AWS · Azure · GCP +6

• London
• Hybrid
• Senior
• Permanent

Owns shared onboard runtime foundations for autonomous vehicles: application frameworks, communication middleware, lifecycle management, health monitoring and observability. Day to day involves C++ development, end-to-end latency and performance profiling across OS scheduling, memory hierarchy and thread synchronisation, plus porting the stack to new operating systems and compute platforms.

NVIDIA Nsight · Lumos · tegrastat +5

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade machine learning systems for clients across pharma, healthcare and other sectors. Work spans architectural decisions, scalable infrastructure, MLOps standards and mentoring junior engineers, with a strong client-facing advisory element. Requires deep Python, TensorFlow or PyTorch, and cloud plus Docker/Kubernetes experience.

TensorFlow · PyTorch · AWS +5

• Purfleet-on-Thames
• On-site
• Shift work

First line of response for engineering faults in an automated Customer Fulfilment Centre, diagnosing and resolving issues that impact performance. Carries out planned servicing and repairs on robotics, AI and IoT-driven equipment, plus proactive reliability improvement projects. Works 12-hour shifts across days, nights and weekends to support a 24/7 operation.

Ocado Smart Platform · Robotics · AI +1

• Bristol
• On-site
• Shift work

First-line responder for engineering faults in a highly automated Bristol fulfilment centre, diagnosing and resolving issues that affect performance. Carries out planned servicing and repairs while contributing to proactive reliability and efficiency projects. Works 12-hour shifts across days, nights and weekends to support a 24/7 operation.

Ocado Smart Platform

• Cambridge
• On-site
• £40,000 – £70,000 pa
• Mid-level
• Permanent

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

• London
• Hybrid
• Senior

Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• United States
• Remote
• US$120,000 – US$185,000 pa
• Mid-level

Builds and operates core systems for the Falcon Complete team, developing features that help security analysts triage and remediate threats at scale. Work spans Golang, microservices, Kafka, Kubernetes and cloud-native tooling, with on-call rotations and heavy async collaboration across a US/UK distributed team.

AWS · Azure · GCP +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

• Reading
• Hybrid
• Mid-level

A customer-facing technical role supporting enterprise sales: running proof-of-value engagements, demos, RFIs/RFPs and objection handling for a cloud security platform. Also involves competitive research, internal enablement sessions, documentation, and mentoring junior sales engineers.

Falcon Platform · CrowdStrike

• London
• Hybrid
• £165,000 – £190,000 pa
• Senior

Pre-sales architect role acting as a trusted technical advisor to large enterprises, helping them integrate and deploy Claude into their technology stacks. Involves technical discovery, designing scalable LLM architectures, building evaluation frameworks, and delivering content from engineering deep dives to executive conversations, working closely with Sales, Product and Engineering.

Claude · Claude API · Claude for Work

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Builds internal tools and data pipelines for lawful data access request workflows and Legal Operations, covering intake, scoping, authorized retrieval, review and audit. Involves backend services, sensitive-data handling, least-privilege access, audit trails and responsible automation, working closely with Legal, Privacy and Security stakeholders.

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on AI control and alignment stress-testing. Works closely with interpretability, fine-tuning and red-team researchers, building tooling, multi-agent RL experiments and jailbreak evaluations, and contributing to papers and blog posts.

Python · Kubernetes · LLM +1

• Cambridge
• Hybrid · 2–3 days in office
• Senior

Work on complex R&D projects within a Modelling Team that trains large self-supervised speech models and deploys them to production. Involves distributed training, transformer architectures, and inference optimisation, with mentoring and cross-department collaboration.

GQA · KV-Caching · Flash Attention +2