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Featured Jobs
Machine Learning Engineer - Bioimage Data & Agentic Systems
The Challenge: 80 Hours or 1 Hour?Advanced 3D microscopes generate terabytes of data daily, with a single scan taking over 80 hours to analyze. This massive data bottleneck is holding back critical research into cancer, Alzheimer's, and other diseases. At Dataflight, we're breaking that barrier. Our core technology, the Adaptive Particle Representation (APR), cuts data size and processing time by...
Dataflight
Oxford
Machine Learning Engineer
An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.We are seeking talented Machine Learning Engineers with full-stack software...
Finsbury Square
Machine Learning Research Engineer
MACHINE LEARNING RESEARCH ENGINEERSalary: £48,330 - £62,835Location: Cambridge - Triangle/Hybrid (2 days per week in the office)Contract: Full Time (35 hours per week), PermanentShape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.This is an exciting opportunity for Machine Learning Research...
Cambridge
Machine Learning Engineer
Machine Learning Engineer Belfast Engineering - Engineering - General / Full-time / Hybrid Apply for this job At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an...
Bazaarvoice Ltd
Belfast
Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required)
Job Description SummaryGE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world?We are looking for a passionate, creative, and results-oriented Machine Learning (ML)...
GE Vernova
Stafford
Machine Learning Research Engineer (5490) - Cambridge
MACHINE LEARNING RESEARCH ENGINEERSalary: £48,330 - £62,835Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.This is an exciting opportunity for Machine ...
Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI.
Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.
Why last year’s pay survey is useless for UK ML professionals today
Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework.
To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.
Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves.
Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences.
In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.
Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams.
The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now.
Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list:
Main UK hub
Example live or recent vacancy
Why it’s worth a look (stack, impact, culture)
Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.
Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back.
In this guide, you’ll discover how to:
Understand the current demand for machine learning talent in the UK
Leverage your organisational, communication and analytical skills in ML contexts
Overcome common re-entry challenges with practical solutions
Refresh your technical knowledge through targeted learning
Access returnship and re-entry programmes tailored to machine learning
Find roles that fit around family commitments—whether flexible, hybrid or full-time
Balance your career relaunch with caring responsibilities
Master applications, interviews and networking specific to ML
Learn from inspiring returner success stories
Get answers to common questions in our FAQ section
Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.
The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it.
Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.
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