Senior MLOps Engineer (Ref: 191430)

💼 Job Title: Senior MLOps Engineer 💰 Industry: FinTech 📍 Location: Remote 🕒 Contract: 12 months Contact: Aaron.Antrobus@forsythbarnes.com We’re working with a rapidly scaling FinTech organisation delivering cutting-edge machine learning solutions for top-tier financial institutions across North America. Their products focus on digital engagement, cross-sell optimisation, customer retention, and fraud prevention. They are seeking an experienced Senior MLOps Engineer to join their machine learning team. This role is ideal for someone with deep expertise in Databricks, strong hands-on deployment experience, and the ability to collaborate with cross-functional teams in a fast-paced, remote-first environment. 🧾 Key Responsibilities: • Build, deploy, and monitor machine learning models in production at scale. • Own and optimise end-to-end ML pipelines (training, validation, deployment, monitoring). • Leverage Databricks for advanced data engineering, ML orchestration, and performance tuning. • Implement best practices in MLOps, including CI/CD pipelines, observability, and model governance. 🧾 Skills & Experience: • Strong hands-on expertise with Databricks (essential). • Proven track record in deploying ML models at scale in production. • Proficiency with PyTorch (preferred) and/or TensorFlow. • Solid programming background in Python and ML frameworks. • Familiarity with CI/CD pipelines for ML and monitoring tools (e.g., MLflow, Prometheus).