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 39 week of 2026