Senior Cloud Engineer - ML Platforms (London, UK, United Kingdom, Aberdeen City)
Notify me about similar jobsAbout this opportunity
THE POSITION
As a Senior Cloud Engineer for ML Platforms, you will build and evolve the cloud infrastructure that enables machine learning activities for Boehringer Ingelheim's newly established AI Accelerator in London. Working closely with researchers, ML engineers and platform teams, you will ensure that AWS-based environments remain secure, scalable and reliable while supporting the full machine learning lifecycle, from experimentation and model training through deployment and production operations.
As part of this role, you will support the cloud and platform capabilities behind the AI and machine learning initiatives. You will join at an early stage, with real influence on how the platform is shaped – helping cutting-edge research teams develop, scale and deploy advanced AI solutions across a wide range of biomedical challenges.
Tasks and Responsibilities
Design, maintain and continuously improve AWS-based infrastructure supporting machine learning workloads, including SageMaker, networking, IAM, storage, compute resources and model endpoints.
Manage cloud environments through Infrastructure as Code, ensuring consistency, scalability and compliance with enterprise architecture, security and governance standards.
Monitor platform performance, availability, security findings and resource utilisation, proactively identifying and resolving operational issues.
Plan and manage cloud capacity, including CPU, GPU, storage and networking resources, balancing business needs, platform performance and cost efficiency.
Build and support infrastructure for MLOps processes, including CI/CD pipelines, experiment tracking, model registries, automated workflows and model deployment.
Develop reusable automation and platform capabilities that simplify onboarding, reduce manual work and improve the user experience for researchers and ML teams.
Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, CI/CD pipelines and related platforms.
Partner closely with stakeholders, translating business and research requirements into effective cloud and platform solutions.
Create and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologies.
Requirements
Hands-on experience designing, implementing and supporting cloud infrastructure in AWS environments.
Proven experience building and operating cloud infrastructure for ML/MLOps platforms – e.g. model training environments, ML pipelines, model registries or model deployment and serving.
Strong knowledge of AWS services including SageMaker, IAM, networking, storage, compute services and container technologies.
Experience with Infrastructure as Code and cloud automation practices.
Understanding of cloud security, governance, compliance and access management principles.
Knowledge of CI/CD practices and tools used for software and machine learning delivery.
Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency.
Strong stakeholder management and communication skills, with the ability to work effectively across international and cross-functional teams.
Degree in Information Technology, Computer Science or a related field, or equivalent practical experience.
WHY THIS IS A GREAT PLACE TO WORK
Boehringer Ingelheim has been recognised as a Top Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies.
To learn more about why BI is a great place to work, visit:
https://www.boehringer-ingelheim.co.uk/careers/uk-careers/why-great-place-work
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 595 comparable Senior Information Technology roles across 54 biopharma companies.
Salary context
73 of 595 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 595 comparable roles
+ 25 more countries
Seniority mix
595 of 595 peers have a known seniority level
Therapeutic area mix
4 of 595 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
Or follow a whole field: get every new Information Technology job in the United Kingdom, and choose locations and companies.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.