Machine Learning Jobs

• London
• Senior

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

PyTorch · TensorFlow · scikit-learn

• London
• Mid-level · manages people

Owns the roadmap and delivery of AI products for transportation, working at the intersection of transport engineering, ML/RL, optimisation and software engineering. Leads a small technical team from problem definition to deployed product, translating domain knowledge into requirements and testing capabilities on live infrastructure projects.

LLM · GIS · BIM

• London
• Remote
• Entry level
• Temporary

A four-month, full-time research fellowship focused on empirical AI safety and security projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers, join a shared workspace or work remotely, and aim to produce a public output such as a paper submission.

Large Language Models · Deep Learning Frameworks

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns features across the ElevenAPI dashboard and product flows, from onboarding and API key creation to usage management, working full-stack with a frontend emphasis. Runs experiments on activation and self-serve subscriptions, using user feedback and product data to prioritise work. Joins a small remote team with scope to grow into technical or team leadership.

ElevenAPI

• London
• Permanent

You will partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.

Codex · OpenAI

• London
• On-site
• Mid-level · manages people
• Permanent

Join the Preparedness team to anticipate and mitigate loss-of-control risks from increasingly capable AI systems, potentially culminating in recursive self-improvement. The role spans scalable oversight, automated auditing, monitorability testing, model behaviour science, and coordination/verification mechanisms, alternating between rigorous hypothesis-driven research and building interventions that impact production models.

• London
• On-site
• Mid-level
• Permanent

Researcher role focused on derisking frontier AI models by developing novel safety mitigations, drawing on interpretability, control, and alignment techniques. You will build and refine evaluations of emerging risks, design red-teaming pipelines, and set research directions, collaborating closely with experts in misalignment, cybersecurity, and biology.

• United Kingdom
• Remote
• Permanent

Builds and operates core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Owns features end to end from backend services to settings UI, with safe rollout and migration of live, business-critical systems serving millions of users.

Kubernetes · OAuth · SSO +2

• London
• Permanent

Designs and builds distributed failure detection, tracing, and profiling systems for large-scale AI training workloads, identifying slow or faulty nodes and surfacing performance bottlenecks. Works deep in the stack across collective communication, parallelism, fault tolerance, and observability, collaborating closely with systems, infrastructure, and research teams.

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams and feed field insights back into product and research roadmaps. Hybrid London role with up to 50% travel and Spanish-speaking customers.

OpenAI

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

Builds and scales the infrastructure that trains and deploys OpenAI's agentic models, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on novel training runs while scaling production agent platforms to hundreds of millions of users.

Kubernetes · FastAPI · gRPC +7

• London
• Hybrid
• Director · manages people
• Permanent

Lead and grow a banking practice within an applied AI consultancy, shaping go-to-market strategy and building relationships with C-suite banking leaders. You will drive complex AI transformation programmes from strategy through software delivery, generate revenue through pitches and demos, and mentor multidisciplinary teams. The role blends commercial ownership with hands-on delivery across front office, operations, risk and control functions.

Metaview

• London
• On-site
• Permanent

Frontline IT support role troubleshooting hardware, software and network issues for employees, managing vendor relationships and equipment inventory, and improving onboarding and device imaging workflows. Requires strong macOS expertise plus identity and device management tools like Azure AD, Jamf and Intune, working closely with Security, Facilities and People Ops in a fast-paced environment.

Azure AD · Jamf · Intune +4

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, capacity planning and operational automation. The role focuses on turning complex operational processes into reusable, scalable platform capabilities, working closely with research, infrastructure and product teams.

GPU · ChatGPT

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field learnings back into product and model roadmaps. Hybrid London role with up to 50% travel.

LLMs · Generative Models