Senior Machine Learning Engineer

Salary: £80,000 - 120,000 per year Requirements: • 4+ years experience in machine learning or AI roles • Strong Python skills, with experience in frameworks such as PyTorch, TensorFlow, or Scikit-learn • Experience deploying ML models into production, including MLOps, CI/CD, Docker, and Kubernetes • Solid understanding of statistics, data modelling, and software engineering principles • Experience with cloud platforms such as AWS, GCP, or Azure • Exposure to financial services or insurance domains is advantageous, but not essential Responsibilities: • Design, build, and deploy machine learning models for fraud detection, risk scoring, and predictive analytics • Develop scalable ML pipelines and work closely with data engineering teams • Collaborate with product and domain experts to translate business problems into ML solutions • Optimise model performance and ensure reliability in production environments • Contribute to architecture and best practices across ML and MLOps Technologies: • AI • AWS • Azure • CI/CD • Cloud • Docker • GCP • Kubernetes • Machine Learning • PyTorch • Python • TensorFlow More: We are a fast-growing FinTech/InsurTech company in Cambridge, transforming how financial and insurance products are built using machine learning and data-driven decision-making. Our platform leverages advanced ML models to power fraud detection, risk modelling, underwriting optimisation, and customer analytics, enabling smarter and faster decisions at scale. With strong investment and a product-led engineering culture, we offer a high-impact environment, competitive salary of £80,000–£120,000 plus bonus, flexible hybrid working with a Cambridge-based office, and clear progression with the opportunity to influence ML strategy. last updated 32 week of 2026