DevOps Engineer

Mid/Senior DevOps Engineer (Applied AI Systems) Docker, Kubernetes, CI/CD, Python Worcestershire (Hybrid working, 1 day a week in office, possibility for additional flex) Permanent We're partnering with a high-trust technology consultancy delivering cutting-edge AI solutions into highly sensitive government environments. We're looking for Mid or Senior level Engineers with a strong DevOps and infrastructure background to join a high-performing technical team working at the intersection of applied AI research and real-world mission delivery. This role sits across DevOps engineering, applied AI systems, and client advisory - ideal for someone who enjoys both building robust, scalable infrastructure and seeing it drive genuine operational impact.

The role Lead and support a small technical team in containerising, deploying and operationalising AI/ML research systems Bridge the gap between cutting-edge AI research and production-ready infrastructure Design and maintain secure CI/CD pipelines and container orchestration solutions in high-security environments Translate complex infrastructure concepts into clear, actionable insight for non-technical stakeholders Lead delivery of secure, high-impact R&D and productisation projects Mentor engineers and shape technical direction around DevOps best practice Contribute to identifying and shaping future opportunities at the intersection of AI and infrastructure What we're looking for Strong hands-on experience with Docker and container orchestration (Docker Compose, Kubernetes or similar) Solid Git workflow experience and familiarity with CI/CD tooling Comfortable working in Python-based environments alongside ML/AI teams Experience productionising software - testing, deployment pipelines, monitoring and ongoing support Exposure to RESTful API design and frameworks such as FastAPI a bonus Exceptional communication skills - able to clearly explain infrastructure decisions to technical and non-technical audiences alike Comfortable operating in high-security, high-trust environments Strong problem-solving, analytical and technical leadership capability Security Requirement Due to the nature of this role and associated security requirements, applicants must hold current DV security clearance Why this role? Work at the forefront of applied AI infrastructure in sensitive government domains High-impact projects with genuine national importance Real technical autonomy and influence over architecture and deployment approach Exposure to cutting-edge AI research being translated into operational systems Opportunity to shape both technology and team culture