Machine Learning Engineer - Contract (Financial Services, Outside IR35)
Duration: 6 months
Rate: £650 - £750 per day
IR35: Outside
Location: UK / Remote
We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments.
This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability.
Responsibilities
* Design, build, and deploy machine learning models into production within a Financial Services environment
* Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams
* Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring)
* Ensure models meet requirements around performance, resilience, and explainability
* Contribute to MLOps best practices, model governance, and technical standards
* Support model monitoring, drift detection, and ongoing optimisation
Required Experience
* Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment
* Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn)
* Experience deploying and supporting ML models in production
* Solid understanding of data pipelines, versioning, testing, and software engineering best practices
* Experience working with cloud platforms (AWS, GCP, or Azure)
Nice to Have
* Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases
* Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.)
* Docker and Kubernetes experience
* Exposure to model governance, explainability, or regulatory frameworks
Contract Details
* £650–£750 per day (Outside IR35)
* Initial 6-month contract, with strong extension potential
* Immediate or short-notice start preferred