ML & AI -Engineers/Architect/Lead
Posted 1 day ago by KBC Technologies Group
Negotiable
Inside
Hybrid
England, United Kingdom
Summary: Our client, a forward-thinking organization in the banking domain, is seeking ML & AI Engineers at various experience levels to automate model deployment and manage production-ready AI systems. The role involves integrating AI/LLM agents with observability and rollback mechanisms. This position offers a hybrid working arrangement and is classified as inside IR35. Candidates will have the opportunity to work on cutting-edge technologies in AI and machine learning.
Key Responsibilities:
- Automate ML model deployment workflows
- Manage model versioning and release processes
- Monitor inference cost, latency, and model drift
- Safely integrate AI/LLM agents into production systems
- Implement observability, alerting, and rollback mechanisms
Key Skills:
- Model deployment automation
- Model version control
- Monitoring (cost, latency, drift)
- Production integration of AI/LLM agents
- Observability & rollback systems
- Experience with containerized environments (Docker/Kubernetes)
- Familiarity with CI/CD pipelines for ML (MLOps)
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
We’re Hiring on Behalf of Our Client: ML & AI Engineers
Our client, a forward-thinking organization investing heavily in AI and machine learning innovation , is looking to hire ML & AI Engineers across multiple experience levels. If you’re passionate about deploying scalable AI systems and working on cutting-edge technologies, this could be your next move.
Role Overview
As an ML & AI Engineer, you will be responsible for automating model deployment, managing version control, and ensuring production-ready AI systems . You’ll also play a key role in integrating AI/LLM agents with strong observability and rollback mechanisms.
Location : Leeds/Manchester
Client : IT
End Client :Banking domain
Work Mode: Hybrid
Contract : Inside IR 35
Salary : Market Standards
Key Responsibilities
- Automate ML model deployment workflows
- Manage model versioning and release processes
- Monitor inference cost, latency, and model drift
- Safely integrate AI/LLM agents into production systems
- Implement observability, alerting, and rollback mechanisms
Experience Levels
We’re hiring across multiple seniority levels:
Senior Developer: 3–6 years (ML/AI Engineering)
Lead Engineer: 7–9 years (ML/AI Engineering)
Architect: 10+ years (ML/AI Engineering)
Required Skills
- Model deployment automation
- Model version control
- Monitoring (cost, latency, drift)
- Production integration of AI/LLM agents
- Observability & rollback systems
Preferred Skills
Experience with containerized environments (Docker/Kubernetes)
Familiarity with CI/CD pipelines for ML (MLOps)
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Location Flexible / Open (depending on project requirements)
Employment Type Full-time
Why Apply?
This is a fantastic opportunity to work with a client at the forefront of AI innovation, building scalable, production-grade systems that make a real impact. Interested? Apply now or message me directly to learn more. Referrals are welcome!
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