At a Glance
- Tasks: Design and maintain AI systems that drive real business impact.
- Company: Join a leading tech company in the heart of Cambridge.
- Benefits: Enjoy competitive healthcare, paid time off, and more.
- Other info: On-site role with opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a difference.
- Qualifications: Experience in AI systems, cloud platforms, and strong teamwork skills.
The predicted salary is between 60000 - 80000 Β£ per year.
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.
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We think you need these skills to ace Senior MLOps Engineer in Cambridge
AI System Design
Production Operations
Reliability Engineering
Scalability
Performance Optimisation
Cloud Platforms
Containerization