Machine Learning Engineer

Contract Opportunity – Machine Learning Engineer (Production ML) 🚨 I’m working with a specialist consultancy supporting a large organisation as it scales its machine learning capability from a handful of models to hundreds in production. They’re looking for an experienced Machine Learning Engineer who enjoys turning models into reliable, governed, production-ready systems, not just experimentation. Key details: £550 per day (Inside IR35) Remote (UK-based) Start ASAP What you’ll be doing • Taking machine learning models from experimentation into production at scale • Designing and implementing repeatable patterns for training, deployment, monitoring and retraining • Working in a Databricks-based environment with MLflow at the core • Partnering closely with data scientists to operationalise their models • Ensuring models are observable, auditable and governed, not just deployed • Improving processes, standards and documentation to support high-volume model delivery • Working hands-on alongside a mixed consultancy and client engineering team What we’re looking for • Strong hands-on experience as a Machine Learning Engineer in production environments • Experience operationalising multiple ML models, not just one or two • Solid experience with MLflow and modern ML platforms (Databricks, SageMaker, Vertex AI, etc.) • Strong Python engineering background • Experience with CI/CD, orchestration and cloud platforms • A pragmatic, delivery-focused mindset — focused on “working in production” rather than research • Comfortable working directly with clients and operating independently Why this role You’ll play a key role in shaping how machine learning is delivered at scale across an organisation moving rapidly into production ML. High impact, real ownership, and a chance to influence how ML engineering is done properly. If you’re a Machine Learning Engineer looking for a contract where you can make a tangible impact, drop me a message or comment below.