Location | Newcastle upon TyneDiscipline: | Football OperationsJob type: | PermanentJob ref: | 008102Expiry date: | 05 Feb 2026 23:59 Machine Learning Engineer (ML Engineer) Newcastle United Permanent Newcastle Upon Tyne Competitive Salary We are the heartbeat of the city. Come and be a part of a long and proud history where we strive to be the best in everything...
Newcastle United Football Club
Newcastle Upon Tyne
Machine Learning Engineer
Machine Learning Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled Machine Learning Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in a live environment. What you'll be doing as the Machine...
Hunter Selection
Bristol
Machine Learning Engineer
Apex Resources limited are on the lookout for a Machine Learning Engineer (Agentic AI) in Glasgow for a hybrid role. A leading Glasgow-based AI firm is building next-generation agentic AI products that automate complex tax and finance workflows for UK accountancy firms and in-house finance teams. The platform leverages large language models and intelligent orchestration to remove repetitive work and...
Apex Resources Ltd
Glasgow
Senior Machine Learning Engineer
Job Description : London | Full-Time | Senior Engineer Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. We’re entering a critical scale-up phase and are hiring a Senior Engineer to work alongside a talented engineering team, helping us scale product, systems, and team maturity....
Permutable AI
London
Senior Machine Learning Engineer - Research
Closing Date: 29 March 2026 Salary: £64,490 - £86,255 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Permanent Hours: Full Time (35 hours per week) 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...
Cambridge University Press & Assessment
Cambridge
Audio Machine Learning Engineer
Audio Machine Learning Engineer A growing technology team is developing a new generation of intelligent, audio-driven products designed to interpret real-world acoustic environments and generate meaningful insight. As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms. The Opportunity Working alongside embedded,...
Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more.
With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive.
Here’s the honest truth most machine learning hiring managers won’t say out loud:
👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know.
Tools are important — no doubt — but context, judgement and outcomes matter far more.
So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped.
This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.
Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio.
This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.
Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression.
This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.
Unlock the Power of ML
Your Go-To Resource for Machine Learning Careers
Empowering machine learning professionals and companies to connect and drive innovation.
Job Seekers:
Find exciting machine learning opportunities, from entry-level to senior roles, across various industries. Use filters to find your next role by specialisation, industry, or salary.
Precise Talent Acquisition:
Attract top machine learning talent with targeted job postings, employer branding, and access to a diverse pool of ML experts. Post your Machine Learning jobs with us today.
Find the perfect job? Subscribe to job alerts to stay informed about new opportunities.
Get ML Job Alerts Directly to Your Inbox! Specify your desired role, and we'll send you email alerts whenever new ML jobs matching your criteria are posted.
🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.
