3 of 3 MLOps Jobs in Hampshire

Agentic AI Specialist (Enterprise AI)

Hiring Organisation
AWE Plc
Location
Tadley, Hampshire, South East, United Kingdom
Employment Type
Permanent
/ML architectures, including practical experience developing or integrating machine learning models or AI agents. Strong software engineering capability, including Python, cloud platforms, and MLOps/DevOps practices such as CI/CD pipelines, containerisation, automated testing, and model deployment and monitoring. Ability to meet AWE's security clearance requirements ...

MLOps Engineer / Machine Learning Engineer

Hiring Organisation
Hays Technology
Location
Portsmouth, Hampshire, United Kingdom
Employment Type
Contract
Contract Rate
£537/day Up to £537 INSIDE
MLOps Engineer/Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within … public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning ...

ML Ops/ML Engineer - MUST HAVE SC CLEARANCE - Portsmouth and remote - 2 months+

Hiring Organisation
Octopus Computer Associates
Location
Portsmouth, Hampshire, United Kingdom
Employment Type
Contract
Contract Rate
GBP Daily
/ML Engineer - MUST HAVE SC CLEARANCE - Portsmouth and remote - 2 months+/RATE: £525 per day inside OR35 (MLOps, ML-Ops, ML Ops, ML/Ops, Machine Learning) One of our Blue Chip Clients is urgently looking for a ML Ops/ML Engineer. For this role you will … need to be onsite in Portsmouth 2 days every other week. Please find some details below: Clearance required: MOD SC Job Description: Developing our MLOps capability across multiple use cases. GitLab CI/CD (yaml) Containerised Solutions (Docker/Kubernetes) DevSecOps (continuous integration, automation, security scanning) Scripting: Bash/Linux ...