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Apply NowReady to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure ML platform, and collaborating with data scientists and analysts to...
We are looking for an excellent Computer Vision MLE to join our UK research and development team. Key Responsibilities This opportunity is to contribute to a team which is building leading-edge products with a particular focus on research innovation. You will have opportunities to contribute to technical direction, suggest new areas of research and the potential to guide your own...
Machine Learning Engineer (AI Platform) Role OVO-View Team: ML Engineering Salary banding: £50,000 - £72,000 Experience: Mid-level Working pattern:Full-Time Reporting to: AI Platform Tech Lead Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Cross-collaboration. Design. Ownership. Top 3 qualities for this role: Adaptability, communication, technical skill Where you’ll work: Depending on the...
Position SummaryWe currently have an exciting opportunity available for a Machine Learning Engineer to join the AI Research Team here at Samsung.The Samsung Research and Development Institute, UK (SRUK), conducts cutting-edge applied research on AI foundations and challenges to develop state-of-the-art solutions for real-world large-scale problems. The AI Research Team focuses on diverse AI fields, including machine learning, deep learning,...
Job Description The Generative AI Centre of Expertise (GenAI CoE) at Experian exists to improve our products, our internal processes and our day-to-day work through GenAI and process automation. The team is a mix of ML engineers, data scientists and product owners, who are dedicated to the next wave of innovation using GenAI. Who is a ML Engineer? In the...
Machine Learning Engineer (AI Platform) Role OVO-View Team: ML Engineering Salary banding: £50,000 - £72,000 Experience: Mid-level Working pattern:Full-Time Reporting to: AI Platform Tech Lead Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Cross-collaboration. Design. Ownership. Top 3 qualities for this role: Adaptability, communication, technical skill Where you’ll work: Depending on the...
Dive into Machine Learning opportunities specialising in Deep Learning, Computer Vision, and Natural Language Processing.
Advance your ML career with expert advice, practical job search tips, and insightful industry guides.
Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.
Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.
Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.
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