Machine Learning Jobs

• London
• Hybrid
• Senior
• Permanent

Builds and maintains shared onboard runtime foundations for autonomous vehicles, including application frameworks, communication middleware, lifecycle management, health monitoring and observability. The role focuses on end-to-end latency and performance profiling across OS scheduling, memory hierarchy and compute platforms, with automated benchmarks and CI regression checks. Works closely with engineering teams and middleware suppliers to set shared APIs and architectural direction.

NVIDIA Nsight · Lumos · tegrastat +5

• London
• Hybrid
• Permanent

Design, build and operate shared infrastructure for language model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Partner with security, IT and engineering teams, and support adoption through troubleshooting, documentation and reusable patterns.

Kubernetes · MCP · RAG

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining research, development and production cloud infrastructure across GCP, Kubernetes, Docker and Terraform. The role spans core technical decisions, tooling and CI/CD processes, working closely with scientists, ML researchers and product teams, and reports directly to the Director of Engineering.

GCP · Kubernetes · Docker +7

• London
• Hybrid · 3 days in office
• Senior

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

JAX · PyTorch · XLA +6

• London
• Hybrid · 1 day in office
• £325,000 – £395,000 pa
• Senior

Builds foundational infrastructure for AI safety, oversight and intervention, including data storage, metrics and evaluation systems, and tooling for human and agentic review. The role also involves running these systems day to day and building multi-layered, real-time defenses against misuse at scale.

Claude Code

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Blends research and engineering to advance reinforcement learning for large language models, building agentic capabilities like computer use and autonomous code generation. Involves architecting distributed RL training infrastructure across GPU clusters, designing novel training environments and evaluations, and profiling and optimizing the stack. Works closely with alignment, red team, and production training groups, with a strong pair-programming culture.

PyTorch · TensorFlow · JAX +3

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for clients across government, finance, retail, energy, life sciences and defence. The role spans building and deploying ML software and infrastructure, defining deployment standards, and leading technical scoping and architecture decisions while advising non-technical stakeholders. Work centres on Python, frameworks like Scikit-learn, TensorFlow or PyTorch, and cloud platforms with Docker and Kubernetes.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Lead
• Permanent

Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production. You'll set engineering standards for safe ML deployment, build scalable cloud infrastructure and multi-agent tooling, and partner with Frontier Labs on safety evaluations. The role also involves advising senior client stakeholders and mentoring engineering talent.

AWS · Azure · GCP +4

• London
• Hybrid
• Permanent

Customer-facing technical role helping organisations evaluate, build, deploy and adopt AI technology. Work spans architecture, integrations, data, security and evaluation, plus demos, prototypes and production solutions, with enablement workshops and delivery coordination alongside Sales, Product, Research and Engineering. This is a general talent pool rather than a specific vacancy.

OpenAI

• Oxford
• Hybrid
• Senior
• Permanent

Full-stack engineer joining the Over-the-Air and Configuration team, building Python back-end services that deliver software and configuration from cloud to autonomous vehicle fleets. Work spans GCP infrastructure, Terraform, Mender, Linux on-vehicle systems, security and CI/CD, with front-end tooling built using AI-assisted development.

GCP · Terraform · Mender +5

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority for banking and financial services accounts. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep hands-on coding in Python and SQL plus expert Databricks platform knowledge.

Databricks · Snowflake · AWS +7

• London
• On-site
• Entry level
• Permanent

Interns own the full lifecycle of their code, from design through deployment and operations, building scalable services on cross-disciplinary teams. They use GenAI and AI tools to boost productivity, participate in code reviews, and take on operational duties including on-call, with mentorship from a dedicated manager and mentor.

AWS

• London
• On-site
• Lead
• Permanent

Manage and improve a large-scale AWS and Kubernetes infrastructure powering an ML-based ID verification platform. Automate deployments, harden security with the security team, and provide tooling and guidance to product and engineering teams to boost scalability and reliability. Works in an Agile DevOps team using Terraform, Helm, Docker, GitLab CI and Python.

AWS · Kubernetes · Terraform +7

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.

Databricks · Snowflake · AWS +7

• United Kingdom
• Remote
• Permanent

Owns features across frontend and backend for the ElevenAPI dashboard, SDKs and docs, improving onboarding, API key creation and self-serve subscriptions. Runs experiments on activation and works directly with developer feedback in a small, fully remote team, with scope to grow into technical or team leadership.

ElevenAPI