250 jobs for “Machine Learning Engineer cambridge”
Entrust France - Field (Onfido)
Owns test planning, coordination and execution within a cross-functional identity verification product team, covering web, mobile, backend and ML-powered journeys. Builds maintainable automated frameworks and suites, mentors colleagues, and leads quality initiatives across engineering teams. Combines automation with exploratory testing and works with TypeScript, Ruby, Python, Playwright, Cypress and CI/CD pipelines.
PhysicsX New York, United States
Builds and automates high-fidelity electromagnetic models across low- and high-frequency applications, from chip and package design to EMI/EMC, using tools like HFSS, Maxwell and CST. Works at the intersection of CAE and data science, generating simulation data to train ML surrogates, collaborating with customers and mentoring junior engineers.
PhysicsX Singapore
Deliver high-fidelity multi-physics CFD simulations, from geometry clean-up and meshing to post-processing and validation against experimental data. Build parametric CAD models and automate simulation pipelines for design optimisation and DoE, generating datasets for machine learning surrogates. Partner directly with customers on-site and mentor junior colleagues.
Faculty London
Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.
Faculty London
Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing advisory work and mentoring junior engineers. It sits within a cross-functional life sciences team focused on AI for therapy research and commercialisation.
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.
Harnham - Data and Analytics Recruitment London £100,000 – £130,000 pa
Design, build and operate LLM-powered systems, taking AI products from experimentation to reliable production deployment. Work spans multi-step agent workflows, production-scale RAG, evaluation frameworks and retrieval pipelines, with mentoring duties at Lead level. Python and cloud infrastructure underpin the full development lifecycle.
Scale AI London
Builds and deploys end-to-end AI applications for public sector clients, from custom datasets and evaluation pipelines to fine-tuned and agentic models in production. Works closely with client stakeholders, data annotation specialists and cross-functional teams, with occasional travel of about two weeks per quarter.
Medtronic London £76,800 – £115,200 pa
Designs, benchmarks and optimises deep learning models for computer vision and surgical video understanding, focusing on low-latency inference on edge and cloud devices. Works with ML, platform and embedded engineers on end-to-end video pipelines, using PyTorch, TensorRT and techniques like pruning and quantization. Distinct for its operating-room, safety-critical medical imaging context.
Hays Technology London £100,000 – £110,000 pa
Hands-on role building the backend services, APIs and data pipelines behind a new AI layer for an investment management firm's portfolio platform. Involves LLM applications such as agent workflows, tool use and RAG, plus security controls, automated tests, AI evaluations and monitoring of accuracy, latency and cost in production.
Helsing London
Builds computer vision models for object detection, recognition, classification and tracking, extending state-of-the-art architectures and running large-scale multi-GPU training on sensor data. Optimises models for real-time performance on constrained target hardware and collaborates with research, engineering and product teams to shape perception roadmaps.
Carrington Recruitment Solutions Gateshead £75,000 – £85,000 pa
Hands-on lead role guiding a small development team across a portfolio of applications while setting engineering standards and shaping delivery. Tech stack spans C#, .NET, Python, React, SharePoint and Azure PaaS, with an AI-native edge using GenAI tools such as Copilot, ChatGPT or Claude. Mainly remote with occasional travel to Leeds and other offices.
Carrington Recruitment Solutions Liverpool £75,000 – £85,000 pa
Hands-on lead role guiding a small development team across a portfolio of applications while shaping delivery and engineering standards. You'll work with C#, .NET, Python, Azure PaaS and React, collaborating with Product and Architecture, with an AI edge using GenAI tools like Copilot, ChatGPT or Claude. Mainly remote with occasional travel to Leeds and other offices.
Holt Executive Oxfordshire £60,000 – £94,000 pa
This role involves designing and developing advanced computer vision algorithms for object detection, tracking, and 6DoF pose estimation, with a focus on integration into embedded and flight software systems. The engineer will lead verification and validation activities, support sensor selection and integration, and provide technical mentorship. Collaboration with multidisciplinary teams ensures performance and compatibility across hardware and software in autonomous systems.
Helsing Berlin, Germany
Builds and benchmarks computer vision systems for scene matching, geo-registration, SLAM, visual odometry and 3D reconstruction, adapting state-of-the-art geometric deep learning to real-world conditions and constrained hardware. Works within a scene understanding and localisation team, collaborating across research, engineering and product to integrate outputs into navigation and decision-making pipelines.
