392 jobs for “Machine Learning Engineer”
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.
Anthropic London £260,000 – £370,000 pa
Conducts exploratory machine learning experiments to understand and steer powerful AI systems, focusing on AI control and alignment stress-testing. Collaborates with interpretability, fine-tuning, and red team groups, running multi-agent RL and jailbreak evaluations. Requires at least 25% presence in London with occasional San Francisco travel.
Wayve London
Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.
Corecom Consulting Belfast £25,500 pa
A two-year academy programme for career changers with no prior experience or degree, combining full-time hybrid training with client project work. Trainees cover Agile, SQL, APIs, Python, testing, data science and AI/ML, then work as an AI Engineer and Software Quality Engineer on real client projects.
DGH Recruitment London £80,000 – £105,000 pa
Hands-on engineering role designing, building, deploying and supporting production-grade AI solutions in a professional services environment. Day to day involves developing AI applications, agents and automations with Microsoft technologies such as Copilot Studio and Azure AI Foundry, designing prompts and grounding strategies, and integrating AI into existing workflows. Distinct for its emphasis on real-world delivery over research or proof-of-concept work, plus close stakeholder collaboration and governance, security and compliance responsibilities.
Electus Recruitment Bristol £50,000 – £58,000 pa
Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications, applying AI and machine learning to complex imaging challenges such as segmentation, tracking, detection and classification. Work alongside multidisciplinary specialists using Python, MATLAB or Simulink, with a predominantly onsite pattern of four to five days per week in Bristol.
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.
Carrington Recruitment Solutions London £95,000 – £105,000 pa
Hands-on role designing, building and maintaining production AI solutions across a professional services firm, focused on legal service delivery, knowledge management and operational efficiency. Work spans Copilot Studio, Azure AI Foundry and Azure DevOps, with prompt design, grounding strategies, agentic AI and integration into core business systems, alongside senior stakeholders and knowledge teams.
Searchability Manchester £90,000 – £100,000 pa
Designs, builds and optimises production-grade AI solutions focused on RAG, LLMs and agentic workflows. Works with AI Platform Engineers to develop RAG pipelines, improve retrieval, implement fine-tuning and establish evaluation frameworks, while contributing to technical decisions, code reviews and mentoring.
OpenAI London
Builds and improves the core execution loop of Codex agents, working on prompting, tool-use strategies, context construction and model-facing experimentation. Runs evals to measure solve rate, regressions and failure modes, and analyses production failures to improve robustness. Sits between research, infrastructure and product to turn model capability into reliable, steerable tools for real software engineering tasks.
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.
Wayve London
Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.
Medtronic Edinburgh £76,800 – £115,200 pa
Designs and manages complex research data pipelines spanning clinical study data collection through validation trials, supporting an AI and algorithm R&D team. Owns data architecture, storage, security and ETL/ELT workflows across sensor platforms and HPC environments, working with Python, SQL and CI/CD automation to enable machine learning and signal processing applications.
Tenth Revolution Group London £80,000 – £90,000 pa
Design and build AI-native applications using LLMs, agentic systems, and multimodal AI technologies across the full stack. Develop intelligent agent workflows with Google's Gemini Enterprise Agent Platform and implement RAG architectures with vector search and long-term memory. Create scalable front-end interfaces with React and Next.js, and robust backends to support AI-powered solutions in a financial sector context.
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.
