6 of 6 MLOps Jobs in the East of England

resolve incidents efficiently. Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability. What Were Looking For Essential: 5+ years experience in MLOps, DevOps, or related roles. Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker ...

Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management ...

functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable Experience in one or more of: MLOps for Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA ...

facilitate workshops that cut through the AI hype, helping clients identify high‐value use cases, navigate data readiness, and map out scalable MLOps roadmaps. Govern & Scale Responsibly: Enterprise AI demands bulletproof reliability. You will implement cutting‐edge MLOps best practices, focusing on observability, rigorous testing, and QA to mitigate bias ...

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI‐powered data and imaging curation platform enables the analysis of clinical imaging and ...

software. You'll come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points: Key Requirements A higher degree in engineering, computer … building scalable and resilient systems. Commercial experience contributing to the success of high impact Data Science projects within complex organisations. Awareness of emerging MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management. An analytical mind set and the ability to tackle specific business problems. ...