Full job descriptionMachine Learning / ML Ops Engineer
Outside IR35: £500 - 625 p/d
Active SC Clearance Required
4 days a week into East London
6 months initial contract, long term programme
The 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 R&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 do
*Design and maintain ML training pipelines, including distributed training at scale
*Build experiment tracking, model registry and data versioning capability
*Optimise models for production and edge deployment
*Containerise ML workloads, including multi-architecture builds for cloud and edge targets
*Implement CI/CD for ML systems
*Build monitoring and observability for models in production
*Orchestrate ML workflows and event-driven pipelines
What you’ll bring
*Strong commercial MLOps or ML engineering experience, taking models from R&D into production
*Distributed training frameworks (e.g. Ray, DeepSpeed, PyTorch Lightning)
*Experiment tracking and model registries (e.g. MLflow or similar)
*Model optimisation (e.g. ONNX, TensorRT, quantisation)
*Docker and containerised deployment
*CI/CD tooling (e.g. GitHub Actions, GitLab CI or similar)
*Monitoring and observability (e.g. Prometheus, Grafana)
*Active SC clearance
Nice to have
*Edge AI deployment, ideally NVIDIA Jetson and DeepStream
*Computer vision or video pipelines (e.g. GStreamer)
*Kubernetes, Kubeflow, Metaflow or similar orchestration tools
*Kafka or other event-driven architectures
*Data versioning tools (e.g. DVC, DeepLake)
*Experience with imagery, geospatial or sensor data
*Previous defence, government or security-sector programmes
*MSc or PhD in Computer Science, ML or a related field, or equivalent commercial experience