ML engineering, or data platform 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. More ❯
Worcester, Worcestershire, United Kingdom Hybrid / WFH Options
Spectrum IT Recruitment
Proven technical and leadership within high growth DevOps environments Deep understanding of high traffic platforms (ideally e-commerce) and customer-first infrastructure Strong technical expertise in: GoogleCloudPlatform (GCP) New Relic (APM, Infrastructure, Alerts, Dashboards) Cloudflare (Performance & Security or similar providers) Track record of driving change, challenging legacy systems and improving processes Excellent stakeholder management and communication skills A More ❯
Life on the team At Computacenter, we support enterprise-scale organisations in securing their digital operations and advancing their security strategies. As part of our Group Professional Services (GPS) division, youll join a network of over 1,000 technology professionals More ❯