11 of 11 Permanent Machine Learning Engineer Jobs in Milton Keynes

Machine Learning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next Machine Learning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the position for you! This Machine Learning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible portfolio of previous projects. Working within a start-up company will provide you with the opportunity to create an impact on … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machine learning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in More ❯

Job Title: Machine Learning Engineer Location : Fully Remote UK Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely Rate: DOE Outside IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial … won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms … optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine More ❯

innovative tech business scale their technology team in the UK. Due to continued growth and demand for their products they now urgently need a Machine Learning Engineer to help bolster their team. This role would suit a Machine Learning Engineer who is already confident … UK. Their office is based in Milton Keynes - you may need to visit the office on rare occasions. To be a successful, the ideal Machine Learning Engineer candidate will have: Highly skilled in Python. Knowledge of AWS or GCP. Ideally experience of SKLearn/Docker/MLFlow … or PyTest Excellent communication and problem solving skills. What is in it for you? As a talented Machine Learning Engineer you can expect: Great salary - Up to £80,000 base and Package (neg for the right person) If you are an ambitious Machine Learning Engineer More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. … As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. … Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and More ❯

Machine Learning Engineer Salary: £40,000 - £50,000 D.O.E Location: Glasgow We are a UK-based pioneer in intelligent automation, AI, and finance transformation—working at the forefront of digital innovation across sectors like accounting and hospitality. Our solutions are delivering real-world impact, helping organisations streamline … manual processes, drive efficiency, and unlock strategic value. We’re now looking for a Machine Learning Engineer to join our growing Glasgow-based team. This is a chance to be part of a fast-moving, forward-thinking company applying AI and ML to complex operational challenges—making … work faster, smarter, and more valuable. What You’ll Do: Develop, train, and deploy machine learning models to enhance automation and decision-making Contribute to AI solutions for major clients in accounting and hospitality Work with structured and unstructured data to create predictive and prescriptive insights Collaborate with More ❯

to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team. Who are we looking for? We are looking for a Machine Learning Engineer … to produtionize scalable NLP models using state-of-the-art techniques and frameworks Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security More ❯

Enso Recruitment is working on behalf of a client in the technology sector to hire a Machine Learning Engineer with a strong background in data analytics. This role offers the chance to apply advanced ML techniques to real-world challenges within the utilities sector, delivering meaningful outcomes … new features Support team-wide development through code sharing and feedback What youll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods … meaningful problems. Youll be given ownership of your work while collaborating closely with a wider development team, with opportunities to deepen your knowledge in machine learning and AI. If you're looking for a position that balances technical challenge with real-world impact, wed love to hear from More ❯

Machine Learning Engineer – Founding Team | Stealth AI Startup (Audio + Generative Models) Location: London (Hybrid) | Full-time | Competitive Salary + Equity A well-funded, early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first … PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and … Imperial , this company is pushing the boundaries of applied AI. They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple … just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely More ❯

Senior Machine Learning Engineer | Remote (UK) + Occasional Bedford Office | £65–80k + Bonus & Benefits 💥 We’re hiring for a UK tech company that's doing seriously smart work in low-code, automation, and AI. Their AI team is growing fast, and they’re looking for an … experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI infrastructure, working closely with product and platform teams to turn ideas into features. It’s the kind of role where your code More ❯

NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field. More ❯