Jobs in Blackburn

Computer Vision Engineer

Develop and deploy advanced computer vision systems for high-stakes defence applications, bridging cutting-edge research with real-world deployment. Lead technical strategy, mentor teams, and contribute to business development through bids and client engagement. Work in a hybrid model with regular on-site client collaboration across the UK.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems for internal and external customers, focusing on MLOps pipelines, distributed training, and inference performance. Build open-source tools and reference architectures to scale AI workloads on NVIDIA platforms and cloud partners. Act as a technical advisor for complex production issues across hardware, software, and infrastructure layers.

NVIDIA £292,500 – £650,000 pa

Remote Permanent

Senior Data Scientist

Lead high-impact AI projects in the defence sector, designing end-to-end data science solutions and robust software architectures. Mentor junior data scientists, lead delivery teams, and collaborate with clients to translate complex problems into rigorous technical frameworks. Contribute to thought leadership through open-source work, public speaking, and training, while ensuring ethical and reliable AI deployment in high-stakes environments.

Faculty AI London, United Kingdom

Remote Permanent Flexible Clearance Required

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Lead Machine Learning Engineer

Lead Machine Learning Engineer to define technical direction for complex AI projects, design scalable ML systems, and guide delivery across high-risk, ill-defined environments. Will lead architectural decisions, mentor engineers, develop reusable tools, and act as a technical advisor to clients in regulated sectors. Focus on operationalising models using Python and major cloud platforms with containerised deployment via Docker and Kubernetes.

Faculty AI London, United Kingdom

Hybrid Permanent