Senior MLOps Engineer

Salary: £75,000 - 100,000 per year

Requirements:

• Strong Python development skills
• Experience with machine learning experiment tracking and model registries using MLflow, Weights & Biases, Neptune, ClearML or a similar platform
• Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod or PyTorch FSDP
• Hands-on experience optimising models for inference using TensorRT, ONNX Runtime, OpenVINO, quantisation or pruning
• Strong Docker and containerisation skills, including multi-stage or multi-architecture builds
• Experience building CI/CD pipelines for machine learning systems
• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog or similar
• Linux systems administration and shell-scripting experience
• Strong software engineering practices, including Git, testing and code reviews
• Experience delivering AI or machine learning systems into production
• Eligible to obtain UK BPSS and Security Check clearance
• UK residency requirements may apply for Security Check clearance

Responsibilities:

• Develop distributed training pipelines for large-scale model development
• Implement and manage machine learning experiment-tracking and model-registry infrastructure
• Optimise models for production using inference acceleration, quantisation and pruning
• Build containerised deployment pipelines for cloud, x86 and edge-device architectures
• Develop and maintain CI/CD pipelines for automated testing, building and deployment
• Manage GPU-accelerated edge deployment and video-analytics infrastructure
• Develop event-driven processing systems
• Work closely with our AI Engineers, Software Engineers and customers to productionise models
• Contribute to technical planning, architecture decisions and engineering best practices

Technologies:

• AI
• CI/CD
• Cloud
• Computer Vision
• Datadog
• Docker
• Git
• Grafana
• Linux
• Machine Learning
• MLflow
• MLOps
• Prometheus
• PyTorch
• Python
• Security
• Airflow
• Ansible
• Kafka
• Kubeflow
• Kubernetes
• Pulumi
• RabbitMQ
• Redis
• Terraform

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 31 week of 2026