DevOps Engineer
3x per week office based.
We’re working with a venture-backed robotics company to find Machine Learning DevOps Engineer , you’ll sit at the intersection of machine learning, infrastructure, and product delivery. Working closely with R&D and Product teams, you’ll be instrumental in building scalable ML systems that power advanced robotic platforms.
Build and maintain end-to-end CI/CD pipelines for ML model training, testing, and deployment
Track model performance, accuracy, and latency; identify data and concept drift
Design and optimise scalable cloud and on-prem environments (AWS, GCP, Azure), using Docker and Kubernetes
Develop and maintain dashboards for live system configuration, monitoring, and fleet management
Support data ingestion, preprocessing, and feature store development
Implement robust versioning across models, data, and code, ensuring compliance and reproducibility
Work closely with data scientists to productionise ML models into API-driven services
Requirements
4–7 years’ experience in MLOps, ML Engineering, or DevOps
Strong Python skills, with Bash/shell scripting experience
Full-stack experience (React, TypeScript, Express.js, PostgreSQL)
Familiar with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with cloud platforms (AWS SageMaker, Azure ML, or Vertex AI)
Solid knowledge of Docker and Kubernetes
Exposure to MLOps tools (MLflow, Kubeflow, Airflow, DVC)
Degree in Computer Science, Data Science, or similar
Strong problem-solving and communication skills
Benefits
£65,000-£85,000 salary
Share options after 12 months
25 days annual leave + bank holidays
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