392 jobs for “Machine Learning Engineer”
ITOL Recruit Romford £30,000 – £45,000 pa
A 15-step online, self-paced AI traineeship covering Python, data fundamentals, machine learning, prompt engineering, RAG, and Hugging Face projects, ending with an AWS Certified Cloud Practitioner exam. It is a paid training course with a job guarantee rather than direct employment, offering 1-to-1 tutor and recruitment support to place candidates into junior AI roles.
ITOL Recruit Wolverhampton £30,000 – £45,000 pa
A 15-step online, self-paced AI traineeship covering Python, data fundamentals, machine learning, prompt engineering, RAG and vector databases, with projects such as a Streamlit car price predictor and a customer service chatbot. Includes Microsoft AI-900 and AWS Cloud Practitioner certification, 1-to-1 tutor and recruitment support, and a job guarantee. Note this is a paid training course, not a salaried role.
Relation Therapeutics London
You will partner with Programme and Project Leaders to shape delivery plans and drive an osteoporosis programme through target ID, hit-to-lead, lead optimisation and candidate selection. The role involves orchestrating matrixed wet lab, ML, data science and engineering teams, managing budgets, risks and governance, and coordinating third-party partners such as CROs.
Relation Therapeutics London
Open speculative application for a TechBio company, inviting CVs from computational biologists, life sciences researchers, and ML engineers with high-performance multi-GPU computing experience. Successful candidates join matrixed, interdisciplinary teams integrating single-cell multi-omics, functional assays and machine learning to advance drug discovery in London labs.
University of Bristol Bristol £44,746 – £58,225 pa
The postholder will contribute to world-leading AI research and develop and deliver education programmes, including a new undergraduate degree in Computer Science with AI. The School is particularly interested in candidates with strengths in Multi-Modal AI and Computer Vision, and the role involves publishing in top venues and applying for external funding.
University of Exeter Exeter £21,805 pa
Develops and evaluates AI, machine learning and deep learning methods for grading retinal fundus images to detect diabetic retinopathy, glaucoma, cataract and AMD. Works with large datasets including EyePACS, UK Biobank and NHS sources, comparing algorithm accuracy against NHS clinicians and optimising explainable models for clinical trust.
NVIDIA Zürich, Switzerland
Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.
Anthropic London £150,000 – £190,000 pa
Pre-sales architect role building technical relationships with Global and Regional System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.
Anthropic London £165,000 – £190,000 pa
Pre-sales architect acting as a trusted technical advisor to large enterprises, helping them integrate and deploy Claude across their technology stack. Combines deep LLM expertise with customer-facing work, from technical discovery and evals to scalable architecture design, while feeding integration insights back to Product and Engineering.
The Portfolio Group Manchester
Set the AI vision and roadmap while staying hands-on, architecting and deploying machine learning and generative AI solutions into production. Work spans RAG, LLMs, vector search and knowledge graphs, plus building a cross-functional team and establishing AI governance. Based fully on-site in Manchester, reporting into senior leadership.
AI Security Institute London £65,000 – £145,000 pa
The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.
Databricks United Kingdom
Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.
University of East Anglia Norwich £21,805 pa
A PhD studentship developing multispectral and hyperspectral imaging combined with machine learning to detect and classify marine litter from aerial and drone-based platforms. The researcher will characterise litter material reflectance in the lab, curate imaging datasets, and build models robust to changing illumination and sensor differences, based in the Colour & Imaging Laboratory and working with CEFAS scientists.
Helsing Barcelona, Spain
PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.
Entrust London
Lead a team of six applied scientists building vision-language models for document data extraction and sub-5MB models for on-device inference, while staying hands-on about half the time. The role spans roadmap-setting with product and engineering, dataset creation, model training and evaluation, and publishing research on distillation, quantisation and few-shot learning.
