Machine Learning Jobs

• London
• Senior

Founding engineer role building the Lakebase managed Postgres transactional layer, spanning control plane, proxy data path, and platform reliability. Work covers large-scale distributed systems, high-throughput connection routing, SLI/SLO definition, and AI-powered automation across AWS, GCS, and Azure storage backends.

AWS S3 · GCS · Azure Blob Storage +6

• London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery across data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.

Databricks · OpenAI · Anthropic +7

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define deployment standards, and mentor junior engineers while working with frameworks like TensorFlow or PyTorch on cloud and Kubernetes infrastructure.

TensorFlow · PyTorch · AWS +5

• London
• Hybrid
• Senior
• Permanent

Lead delivery across an AI safety portfolio, overseeing frontier model evaluations, red teaming and safeguard testing with labs such as OpenAI and Anthropic. Act as the primary link between government and public sector clients and internal data scientists, shaping proposals and advising on AI safety strategy while mentoring team members.

OpenAI · Anthropic · Metaview

• London
• Hybrid · 1 day in office
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, databases, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Remote
• Temporary

A four-month, full-time research fellowship focused on empirical AI projects in either ML systems and performance or reinforcement learning. Fellows work with external infrastructure like open-source models and public APIs, receive direct mentorship from Anthropic researchers, and aim to produce a public output such as a paper submission.

Claude

• United Kingdom
• Hybrid
• Mid-level

Own customer-facing LLM voice agents end to end: scope, design conversation and tools, build in Agent Studio and the ADK, integrate CRMs and telephony in Python, then launch and stay accountable for live performance. Debug real calls across ASR, model, prompt and integrations, run evals and A/B tests, and turn field solutions into reusable platform tools.

Agent Studio · ADK · Raven +3

• Seattle, United States
• Hybrid
• US$200,000 pa
• Lead
• Permanent

Owns core enterprise platform systems and a new suite of APIs exposing Avatar technology to external creative tools, working across Python, React and AWS. Drives multi-month, multi-team projects, translating security, legal and compliance requirements into scalable designs, and evaluates success through observability and reliability metrics.

Python · React · AWS +2

• Paris, France
• Hybrid · 2–3 days in office
• Permanent

Founding pre-sales role building Synthesia's Solutions Engineering function for France and Southern EMEA. Partners with Account Executives on discovery, demos, POCs and technical solution design across Studio, Roleplay Sessions and Interactive Avatars, covering API/SDK integrations, security and compliance topics.

Synthesia · LMS · HCM

• 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

• London
• Remote
• Permanent

Owns the internal developer platform used by AI researchers to write, build, and debug training code, covering dev environments, container images, CI/CD, and training instrumentation. Works closely with researchers and ML engineers on stability, scalability, and observability, with a compensated 24x7 on-call rotation for production troubleshooting.

Kubernetes · Python · Go +2

• Manchester

The OpportunityA leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade…

• London
• Hybrid
• Permanent

Builds reinforcement learning environments for enterprise AI agents, populating them with hard tasks, plausible data and reward verifiers, then runs agents inside to evaluate and train them. Works across modelling and product to find capability gaps, and partners with external vendors on expert-built environments and quality tooling.

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect, implement and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP

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

Join the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. You'll build observability and telemetry pipelines, automate recovery, hunt compute waste, and optimise accelerator utilisation for large-scale training and inference, working closely with ML infrastructure and research teams.

GCP · Kubernetes · Nvidia GPU +1