Senior MLOps Engineer

Abcam; Cambridge; On-site; GBP 65,000 - 85,000; Full time

Benefits offered by this job

Competitive health care program

Paid time off

Job summary

Abcam is seeking a Senior MLOps Engineer to design and govern AI systems that drive business impact. This on-site role involves enhancing our AI Tech Stack and ensuring the performance and safety of our AI applications.

The ideal candidate will have expertise in deploying production-grade AI systems, experience with cloud platforms, and strong collaborative skills to work with cross-functional teams.

Qualifications

• Ability to design, deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance.
• Experience with cloud and infrastructure platforms and tools.
• Knowledge of monitoring and observability tools.

Responsibilities

• Design, govern, enhance, and maintain the AI Tech Stack.
• Establish evaluation, monitoring, and guardrails for performance and quality.
• Guide users in the use of the Tech Stack and best practices.

Skills

Design and deploy production-grade AI systems

Cloud and infrastructure platforms

Monitoring and observability tools

Strong interpersonal skills

Tools

CI/CD practices

Containerization

Job description

Senior MLOps Engineer

Responsible for the design, governance, evaluation, and production operation of systems built on foundation models, translating model behavior into functional, production-ready applications that drive measurable business impact. Reports to the Senior Director AI Operations and Commercial and is part of the Data & AI Team located in Cambridge. This role is an on-site position.

In This Role, You Will Have The Opportunity To

• Design, govern, enhance and maintain our AI Tech Stack, a core enabler for Abcam's AI & ML models and applications.
• Establish evaluation, monitoring, and guardrails to ensure measurable performance, quality, and safety.
• Guide users of the Tech Stack from the Data & AI Team and across the business in their use of the Tech Stack and best practices.

The Essential Requirements Of The Job Include

• Ability to design, deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance.
• Experience with cloud and infrastructure platforms and tools, including deployment, containerization, and CI/CD practices.
• Knowledge of monitoring and observability tools, multi-agent orchestration tools, monorepo technologies.
• Strong interpersonal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions.

Benefits: Competitive health care program and paid time off; see Danaher Benefits Info for details.