Senior MLOps Architect for Biomedical AI Platform

Boehringer Ingelheim; Greater London; Hybrid; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Top Employer recognition in UK

Job summary

Boehringer Ingelheim, London, seeks a senior MLOps leader to own the architecture, standards and technical direction for the AI Accelerator. You will ensure models move efficiently from experimentation to reliable production deployment, defining tooling, platforms and engineering practices for scalable model training, monitoring and governance.

This role blends strategic leadership with hands-on execution, reporting to the AI Enablement leadership team and collaborating with the Senior Staff

Qualifications

• PhD or MSc in a STEM subject (or equivalent).
• Extensive senior staff experience in MLOps/ML Platform Engineering or ML Engineering with mentoring responsibility.
• Deep MLOps lifecycle expertise: training orchestration, experiment tracking, model registries, CI/CD, deployment and monitoring.
• Strong Python proficiency and experience building scalable production platforms with Docker/Kubernetes/Helm.
• Strong collaboration and influencing skills across research, engineering and business.

Responsibilities

• Own the MLOps architecture and roadmap for the AI Accelerator, defining the end-to-end model lifecycle (training orchestration, experiment tracking, registries, CI/CD, deployment and monitoring).
• Establish MLOps standards and engineering practices, including testing, containerisation, deployment patterns, packaging, release management and production operations.
• Govern model artefacts: versioning, lineage, configuration control for weights, parameters and hyperparameters.
• Enable large-scale distributed training and federated learning with AI Infrastructure for scalable research-to-production velocity.
• Drive efficiency and cost optimisation across training and inference workloads in enterprise infrastructure.
• Coach and mentor MLOps engineers, onboarding and leading the team as it grows, serving as senior escalation point.

Skills

MLOps

ML Platform Engineering

Machine Learning Engineering

Python

Team collaboration

Mentoring engineers

Education

PhD or MSc in STEM

Tools

Docker

Kubernetes

Helm

Job description

Boehringer Ingelheim, London, seeks a senior MLOps leader to own the architecture, standards and technical direction for the AI Accelerator. You will ensure models move efficiently from experimentation to reliable production deployment, defining tooling, platforms and engineering practices for scalable model training, monitoring and governance.

This role blends strategic leadership with hands-on execution, reporting to the AI Enablement leadership team and collaborating with the Senior Staff