Machine Learning Engineer

Machine Learning Engineer | London (Hybrid – 2 days onsite) | Up to £65,000 We're working with a growing technology consultancy in London to find a Machine Learning Engineer to join their team. This is a great opportunity to work across a variety of client projects, applying ML techniques to solve real business problems rather than sitting on one product for years. You'll get exposure to different industries, tech stacks, and challenges — ideal if you want breadth alongside depth, and the chance to keep learning as you go. The consultancy has a strong reputation for delivering high-quality, technically rigorous work, and is investing further in its ML capability. You'd be joining at a good time to help shape how the practice grows, working alongside experienced data scientists and engineers in a collaborative, non-siloed environment. What you'll be doing: * Designing, building, and deploying machine learning models across a range of client engagements * Working closely with data scientists, engineers, and client stakeholders to translate business problems into ML solutions * Taking models from prototype through to production, with a focus on robustness and scalability * Contributing to best practice, technical standards, and knowledge-sharing within a growing ML practice * Getting involved in scoping and pre-sales conversations as your experience grows What we're looking for: * Strong commercial experience building and deploying ML models * Solid Python skills and experience with common ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch) * Comfortable working directly with clients and translating technical work for non-technical audiences * Consultancy or client-facing experience is a plus but not essential Nice to have: * Experience with GIS, mapping technologies, or spatial data (e.g. QGIS, ArcGIS, geospatial Python libraries) * A background or degree in Geography, or related experience working with spatial/location-based data Details: * Salary: up to £65,000 * Location: London, 2 days per week onsite * Permanent position If this sounds like a fit, or you know someone who'd be right for it, please get in touch or send your CV over.