About this role
Salary: £75,000 - 100,000 per year
Requirements: Strong Python development skillsExperience with machine learning experiment tracking and model registries using MLflow, Weights & Biases, Neptune, ClearML or a similar platformExperience with distributed training frameworks such as Ray, DeepSpeed, Horovod or PyTorch FSDPHands-on experience optimising models for inference using TensorRT, ONNX Runtime, OpenVINO, quantisation or pruningStrong Docker and containerisation skills, including multi-stage or multi-architecture buildsExperience building CI/CD pipelines for machine learning systemsExperience with monitoring and observability tools such as Prometheus, Grafana, Datadog or similarLinux systems administration and shell-scripting experienceStrong software engineering practices, including Git, testing and code reviewsExperience delivering AI or machine learning systems into productionEligible to obtain UK BPSS and Security Check clearanceUK residency requirements may apply for Security Check clearance Responsibilities: Develop distributed training pipelines for large-scale model developmentImplement and manage machine learning experiment-tracking and model-registry infrastructureOptimise models for production using inference acceleration, quantisation and pruningBuild containerised deployment pipelines for cloud, x86 and edge-device architecturesDevelop and maintain CI/CD pipelines for automated testing, building and deploymentManage GPU-accelerated edge deployment and video-analytics infrastructureDevelop event-driven processing systemsWork closely with our AI Engineers, Software Engineers and customers to productionise modelsContribute to technical planning, architecture decisions and engineering best practices Technologies: AICI/CDCloudComputer VisionDatadogDockerGitGrafanaLinuxMachine LearningMLflowMLOpsPrometheusPyTorchPythonSecurityAirflowAnsibleKafkaKubeflowKubernetesPulumiRabbitMQRedisTerraform More:
We are an innovative UK technology company developing advanced artificial intelligence and machine learning solutions for defence, security and other demanding real-world environments. We specialise in computer vision, perception and autonomy, combining modern deep learning with neuroscience-inspired technology to create AI systems that are accurate, robust and reliable. This is a permanent, full-time Senior MLOps Engineer role based in West London, working predominantly from our office and customer sites with some remote working available. We offer a salary of £70,000 to £100,000 depending on experience, and we are open to candidates with varying levels of seniority. The role involves hands-on engineering across cloud platforms and edge devices, including GPU-accelerated NVIDIA Jetson systems, and offers long-term technical challenge and growth.
last updated 32 week of 2026