Artificial Intelligence Jobs in London

Synthesia · UK Remote

Shape how the company shows up in experiential moments worldwide, designing booths, spatial environments, signage, print and merchandise from concept to production. Develop cohesive event identities across physical and digital touchpoints, storyboard motion content for keynotes, and art-direct external vendors. Works in a small senior brand design team with low process and high ownership, requiring travel across Europe and the US.

PhysicsX · Singapore

Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.

PhysicsX · Singapore

Builds and operates a SLURM-on-Kubernetes HPC platform with 304 B200 GPUs, split evenly between platform engineering and hands-on support for researchers. Work covers cluster reliability, containerised job environments, high-performance storage and networking, and debugging distributed training and data generation workloads.

Medtronic · London · £76,800 – £115,200 pa

Designs, builds and maintains AWS and on-prem infrastructure used by ML engineers, data scientists and product teams, with a strong focus on Kubernetes, Helm, Terraform/OpenTofu and GitOps delivery. Also handles platform service requests, incident diagnosis and reliability improvements, working across engineering teams in a surgical AI centre of excellence.

Faculty · Remote (UK)

Lead the technical direction and delivery of complex, high-risk AI projects for defence clients, balancing deep ML engineering with team leadership. You'll design scalable ML systems, set architecture, build shared libraries, mentor engineers, and work on-site with customers 2-4 days a week, with the rest remote or from the London office.

Faculty · Remote (UK)

Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You will mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines with Docker and Kubernetes while shipping Python and compiled-language code alongside ML engineers and data scientists.

Medtronic · London · £76,800 – £115,200 pa

Develops high-performance, low-latency video and AI processing pipelines for use in the operating room, leveraging hardware acceleration for capture, inference, visualisation and streaming. Works in a multidisciplinary team on robust, safe-by-design medical device software, with a strong C++17-23, multi-threading and real-time video focus.

Darktrace · Cambridge

Owns the prototyping and development of new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints to ship novel features. Works with a cross-functional team of engineers, designers and strategists on projects spanning rapid prototyping to structured platform development, with a focus on defending against unknown cyber-attacks.

AI Security Institute · London

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

Wayve · London

Works at the boundary between onboard software and vehicle hardware, bringing up new vehicle platforms on benches, HiL systems and vehicles, including at international test locations. Builds and maintains vehicle-facing components and shared frameworks in C++, Python or Rust on Linux-based robotic and automotive systems using ROS2, CAN and Automotive Ethernet, with diagnostics, tooling and documentation for long-term supportability.

Wayve · London

Leads complex, multi-team programmes across Level 2 and Level 4 autonomous driving products, translating product milestones into integrated cross-team schedules and delivery plans. Reviews technical progress, backlog health and system-level evidence to assess milestone readiness, managing dependencies and critical-path activities across engineering, product, safety and validation. Improves lifecycle-planning practices and tooling to surface risk earlier and deliver more predictably.

Barclays · London

Owns the optimisation and strategy of transaction monitoring controls across Barclays UK and International, tuning surveillance systems and developing detection solutions. Involves data exploration, SQL/Scala/Spark/Python coding, and engaging technical and non-technical stakeholders on financial crime risk. Based in Canary Wharf or Glasgow.

Anthropic · London · £280,000 – £330,000 pa

Build and lead a foundational EMEA sales team driving Claude adoption across nonprofits, foundations, INGOs, and educational institutions. This player-coach role combines personally closing complex multi-stakeholder deals with hiring, structuring, and scaling a regional team across time zones, while navigating GDPR and data sovereignty concerns.

ElevenLabs · United Kingdom

Build and operate production-grade abuse detection and guardrail systems, focusing on free-tier abuse, fraud, and bot farming across a multimodal platform. Own the safety infrastructure end to end, from architecture and APIs to data pipelines, monitoring, and SLIs/SLOs, working with ML and full-stack engineers to move research models into production.

Maxwell Bond · London · £150,000 – £175,000 pa

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.