Negotiable
Inside
Hybrid
Manchester, England, United Kingdom
Summary: The AI/ML Engineer role involves automating model deployment, managing version control, and integrating AI agents into production systems while ensuring strong observability and rollback capabilities. The position is based in Leeds or Manchester, U.K., and operates in a hybrid mode with two days on-site each week. This contract role is classified as inside IR35 and has a duration of six months. Candidates are expected to have significant experience in ML Engineering or AI Engineering, with a focus on production integration and monitoring systems.
Key Responsibilities:
- Automate ML model deployment workflows
- Manage model versioning and release processes
- Monitor inference cost, latency, and drift
- Integrate AI agents safely into production systems
- Implement observability, alerting, and rollback mechanisms
Key Skills:
- Model deployment automation
- Model version control
- Monitoring inference cost, latency & drift
- Production integration of AI/LLM agents
- Observability & rollback systems
- Experience with containerized deployments
- Familiarity with CI/CD for ML (MLOps)
- Bachelor’s/master’s in engineering, Computer Science, or related fields
Salary (Rate): undetermined
City: Manchester
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Role: AI/ML Engineer
Location: Leeds / Manchester, U.K. (Hybrid mode, 2days on-site per week)
Engagement Type: Contract Inside IR35
Duration: 6months
Responsible for automating model deployment, ensuring version control, monitoring inference systems, and safely integrating AI agents into production with strong observability and rollback capabilities.
Responsibilities:
- Automate ML model deployment workflows
- Manage model versioning and release processes
- Monitor inference cost, latency, and drift
- Integrate AI agents safely into production systems
- Implement observability, alerting, and rollback mechanisms
Required Skills:
- Model deployment automation
- Model version control
- Monitoring inference cost, latency & drift
- Production integration of AI/LLM agents
- Observability & rollback systems
Preferred Skills:
- Experience with containerized deployments
- Familiarity with CI/CD for ML (MLOps)
Required Experience
- 3–6 years in ML Engineering / AI Engineering – Senior Developer
- 7–9 years in ML Engineering / AI Engineering - Lead
- 10+ years in ML Engineering / AI Engineering – Architect
Education
- Bachelor’s/master’s in engineering, Computer Science, or related fields
If this opportunity aligns with your experience and career goals, please connect with me or share your updated CV at kirankotla@rezolve.com
Kiran Kotla
Rezolve AI Limited
Tel.: +44 020 4628 6452