Machine Learning Jobs

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Anthropic · London · £370,000 – £630,000 pa

Builds and improves the core RL training infrastructure that researchers depend on, profiling, debugging and rearchitecting bottlenecks across the stack. Works closely with researchers and adjacent teams such as inference and sandboxing to ship tooling that speeds up training runs, spanning low-level performance work through to RL algorithms.

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industrial engineering challenges into product opportunities, tracking engagement and measuring value. Hybrid role based in Manhattan with remote flexibility.

Amazon · London

Customer-facing cloud technologist role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and workshops, manage the overall technical relationship with customers, and create reference architectures and technical content across AI/ML, serverless, containers, analytics and security.

Anthropic · London · £225,000 – £255,000 pa

Embeds directly with strategic enterprise customers to build production AI applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. One of the founding forward-deployed engineers, travelling 25-50% to customer sites.

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development with Python/FastAPI microservices, and cloud deployment using Kubernetes, Terraform and AWS/Azure, with frequent on-site travel to customer sites.

Databricks · London

Customer-facing pre-sales architect driving adoption of Databricks' AI product line across a local EMEA territory, paired with an Account Executive to design and execute engagement strategies. Leads design and implementation of agentic AI use cases using Agent Framework, AgentBricks and MLflow, and acts as tier-3 escalation for complex field challenges.

Isomorphic Labs · London

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You will develop computational and machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

Entrust · London

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines in a Python, AWS and Kubernetes stack, while mentoring engineers and leading technical design.

Isomorphic Labs · Cambridge, United States

Lead computational drug design programs from hit identification through to candidate nomination, applying AI-first approaches and shaping the ML drug design engine alongside ML scientists. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Hybrid working in Cambridge, MA, three days a week in office.

Humanoid · London

Develops learning-based locomotion and whole-body control policies for humanoid robots, using reinforcement and imitation learning, generative models and motion primitives. Builds scalable simulation and training pipelines in Isaac Lab and MuJoCo, and deploys, debugs and fine-tunes policies on physical robots, tackling sim-to-real transfer and real-time inference latency.

Databricks · London

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems across data engineering, ML/AI and application development, embedding with client teams and travelling to customers around 20% of the time.

Entrust · Lisbon, Portugal

Builds and operates production ML systems for document classification and extraction, covering training, evaluation and deployment pipelines for LLM/VLM models, GPU inference optimisation and advanced labelling workflows. Leads technical design from RFC to production, mentors engineers and works across Applied Science, Product and Data Science in a squad-based team.

University of Cambridge · Cambridge · £63,606 – £67,468 pa

Contribute to research and teaching in artificial intelligence and machine learning as a faculty member, developing novel models, abstractions and architectures. The role involves supervising Masters and PhD students, creating graduate content for the MPhil in Advanced Computer Science, and teaching undergraduate machine learning and mathematics. The appointee is expected to secure research funding and build a world-class team, collaborating across computer science subdisciplines and with fields such as mathematics, engineering and physics.