Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining cloud infrastructure across research, development and production. Work spans GCP, Kubernetes, Docker, Terraform and Kapitan, plus CI/CD, observability and tooling, partnering with scientists, ML researchers and product teams. Reports to the Director of Engineering in a small, fast-moving team.

GCP · Kubernetes · Docker +7

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to refine predictive models and manage CRO resources, mentoring junior colleagues without line-management duties.

AlphaFold

• Ireland
• Remote
• Senior

Security researcher role on CrowdStrike Intelligence's Advanced Research Team, performing vulnerability research and exploit development across a wide range of targets. Day-to-day work includes analysing vendor patches, identifying exploits in large file collections, reverse engineering, and building automated data collection and analysis tooling, alongside publishing research and supporting other intelligence teams.

CrowdStrike · Windows · Linux +5

• United Kingdom
• Remote
• Senior

Join the Advanced Research Team to conduct vulnerability research and exploit development, analysing vendor patches to identify vulnerabilities and build proof-of-concept exploits. The role also involves reverse engineering, investigating 0-day and n-day exploitation, and developing automated tooling to process and analyse data at scale, with results published on the blog or at conferences.

CrowdStrike · GenAI · LLM +3

• Cambridge
• Hybrid · 2 days in office
• Director · manages people

Leads the strategy, roadmap and execution of Darktrace's interactive demo estate, managing a small team of technical content specialists. Partners with Product, Marketing, Enablement and Sales Engineering to evolve demos from on-rails walkthroughs into live sandbox environments, overseeing scenario, training and video content.

Reprise · Storylane · Navattic

• Oxford
• £81,322 – £112,488 pa
• Lead

Contract: PermanentLocation: Oxford, hybrid preferred, though we'd consider fully remote for the right person.Reports to: Director of AI DeliveryOxfida (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to…

• London
• Hybrid
• Senior
• Permanent

Build and operate a globally distributed Data Transfer Hub moving petabytes of video, LiDAR and sensor data per day between Wayve and partners such as Uber, Stellantis and Nissan. Write pipeline logic in Python, manage infrastructure with Terraform, and use Flyte, Kafka and Azure for orchestration, event-driven lifecycle tracking and storage. The small, high-autonomy team owns production reliability, observability and cost efficiency, with an out-of-hours on-call rotation once the service is established.

Flyte · Kafka · Azure +5

• 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

• Southampton
• Hybrid
• £45,900 pa
• Lead
• Permanent

Lead the Maritime Innovation Hub's work on digitalisation, AI, data, connected technologies and autonomous surface ships. You will horizon-scan, build industry and academic networks, produce guidance, and support policy and regulatory colleagues while helping innovators navigate the maritime regulatory regime. The role is outward-facing and international, feeding into the IMO Digitalisation Strategy.

• Munich - Berlin - London - Paris

Builds and deploys reinforcement learning agents for an autonomous aerial platform, owning the pipeline from large-scale simulation training to real-time deployment on flight-ready hardware. Works on multi-agent RL, partial observability and latency-constrained runtime integration in Python, Rust or C++.

GPU-based Simulators

• London
• Senior

Builds full-stack AI applications directly alongside public sector clients, scoping requirements, gathering feedback and shipping production-grade systems. Work spans React and TypeScript front ends, Python/Node backends, and cloud infrastructure on AWS, Azure or GCP, with a focus on reusable platform features and deploying into customer environments.

React · TypeScript · Next.js +7

• London
• Senior

Forward-deployed full-stack engineer who partners directly with public sector clients to turn ambiguous mission requirements into production-grade AI applications. Leads architecture across React, Node.js, Python, Kubernetes and global cloud infrastructure, mentoring staff and shaping reusable platform patterns. Founding-member role on Scale's Global Public Sector team.

Python · Node.js · React +4

• United States
• Remote
• Director

Hunter-style enterprise sales role carrying a quota and driving growth across US and Canadian retail, e-commerce and 3PL markets, closing complex deals typically worth $1M–$5M over 6–18 month cycles. Works with solutions, deployment and customer success teams, selling Ocado IQ software and AMR robotics to C-suite and operations leaders, with 40–60% travel.

Salesforce · HubSpot · Ocado Smart Platform +4

• Colchester
• Director · manages people

Lead and unify a globally distributed software engineering organisation across Colchester, Feldkirchen, Bangalore and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in X-ray, acoustic and optical inspection products.

AI · Machine Learning · Computer Vision +1

• Munich - Berlin - London - Paris
• Senior

Builds and benchmarks computer vision systems for scene matching, geo-registration, SLAM, visual odometry and 3D reconstruction, adapting state-of-the-art geometric deep learning to real-world conditions and constrained hardware. Works within a scene understanding and localisation team, collaborating across research, engineering and product on deployable defence AI capabilities.

Python · Rust · C++