Lead MLOps Engineer — AI/ML Pipelines on Databricks

Canadian Imperial Bank of Commerce; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial institution in Greater London is seeking an experienced MLOps Engineer to lead the development of AI/ML systems and CI/CD pipelines. The role involves collaboration with quantitative teams and requires expertise in Python, Databricks, and MLOps processes. Candidates should have a strong background in AI/ML and excellent interpersonal skills, thriving in a team-oriented environment. The position offers a standard work week with options for partial remote work.

Qualifications

• 7 years of hands-on experience building AI/ML systems.
• 3 years of hands-on MLOps experience.
• Experience deploying agentic systems is a plus.

Responsibilities

• Lead the development of AI/ML CI/CD pipelines.
• Define and implement systems to manage the full AI/ML lifecycle.
• Collaborate with Data Scientists and trading teams to build AI solutions.

Skills

Python programming

MLOps processes

DevOps platforms like GitHub Actions

Databricks usage and APIs

Kubernetes, ideally AKS

Infrastructure-as-code practices

Interpersonal skills

Teamwork and communication

Education

Degree in Computer Science or related subject

Job description

A leading financial institution in Greater London is seeking an experienced MLOps Engineer to lead the development of AI/ML systems and CI/CD pipelines. The role involves collaboration with quantitative teams and requires expertise in Python, Databricks, and MLOps processes. Candidates should have a strong background in AI/ML and excellent interpersonal skills, thriving in a team-oriented environment. The position offers a standard work week with options for partial remote work.