Machine Learning/ML Ops EngineerOutside IR35: £500 - 625 p/dActive SC Clearance Required4 days a week into East London6 months initial contract, long term programmeThe Role We''re looking for a Senior MLOps Engineer to build and run the infrastructure that takes machine learning models from research into production. You''ll work alongside AI developers, software engineers and technical leadership to turn Randamp;D into reliable, deployable products in the cloud and on edge hardware. The work is for a long-term programme in the defence and security sector.This is a hands-on role, and you''ll have real influence over the architecture of the ML platform.What you''ll doDesign and maintain ML training pipelines, including distributed training at scaleBuild experiment tracking, model registry and data versioning capabilityOptimise models for production and edge deploymentContainerise ML workloads, including multi-architecture builds for cloud and edge targetsImplement CI/CD for ML systemsBuild monitoring and observability for models in productionOrchestrate ML workflows and event-driven pipelinesWhat you''ll bringStrong commercial MLOps or ML engineering experience, taking models from Randamp;D into productionDistributed training frameworks (eg Ray, DeepSpeed, PyTorch Lightning)Experiment tracking and model registries (eg MLflow or similar)Model optimisation (eg ONNX, TensorRT, quantisation)Docker and containerised deploymentCI/CD tooling (eg GitHub Actions, GitLab CI or ..... full job details .....