data scientists and engineers across multiple projects Oversee the deployment and monitoring of machine learning models in production Define coding standards and implement best practices in CI/CD, MLOps, and API delivery Collaborate with business, product, and engineering teams to align data strategy with commercial goals Champion data governance, security, and compliance throughout the data lifecycle Evaluate and introduce … data platform architecture Proven leadership within technical teams, ideally in cloud-first environments (Azure, AWS, or GCP) Proficiency in Python, SQL , and cloud-native data tools Solid understanding of MLOps , including model lifecycle management (e.g. MLflow), containers (Docker/Kubernetes), and monitoring Experience delivering Data-as-a-Service products and APIs Excellent communication skills - able to explain complex concepts to More ❯
engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge of MLOps practices (MLflow, Docker, Kubernetes, etc.). Demonstrated experience in building Data-as-a-Service (DaaS) solutions or data APIs. Strong stakeholder engagement and mentoring skills. Desirable: Experience in insurance, financial More ❯
Worcester, Worcestershire, West Midlands, United Kingdom
FBI &TMT
engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge of MLOps practices (MLflow, Docker, Kubernetes, etc.). Demonstrated experience in building Data-as-a-Service (DaaS) solutions or data APIs. Strong stakeholder engagement and mentoring skills. Desirable: Experience in insurance, financial More ❯
Worcestershire, United Kingdom Hybrid / WFH Options
Tria
scaling data systems in cloud environments (Azure preferred; AWS/GCP also welcome) Strong Python and SQL skills with deep knowledge of modern data tooling and pipelines Experience with MLOps, CI/CD workflows, containerisation (e.g., Docker, Kubernetes) and production-grade APIs Understanding of data governance, privacy and regulatory compliance (e.g., GDPR) Nice to have: Familiarity with Infrastructure as Code More ❯
