Machine Learning Engineer - MLOps & Production

PureGym; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Free nationwide gym membership for you

Flexible working culture

Life insurance x4

Company pension contribution

25 days annual leave + 1 personal day

Additional holiday up to 5 days

Learning & development resources

Enhanced maternity/paternity/adoption

Job summary

PureGym, a leading fitness group, is hiring a Machine Learning Engineer for its Data and Analytics Team in London. The role blends hands-on development with production deployment, monitoring, and retraining of ML models in a hybrid work setup.

You will own the model lifecycle, build scalable pipelines, and collaborate with Data Scientists and Data Engineers to establish robust MLOps practices and reusable production components across the semantic layer.

Qualifications

• Strong Python and SQL skills with good software engineering practices including testing, packaging, code review and version control.
• Hands-on experience taking machine learning models into production and supporting them once live.
• Experience with MLflow or similar model lifecycle tooling, including deploying models for batch and/or near real-time use cases.

Responsibilities

• Own the path to production for our machine learning models, including packaging, deployment, release management and rollback using Databricks and MLflow.
• Build robust CI/CD pipelines for models and data science code, introducing automated testing, environments and appropriate release gates.
• Build monitoring for data drift, model performance and pipeline health, with clear alerting and runbooks so issues can be identified and resolved quickly.
• Automate recurring model runs, retraining and scoring that are currently manual, freeing our Data Scientists to focus on new modelling and experimentation.
• Turn models and metric definitions created by Data Scientists into robust, reusable production components on our shared semantic layer.
• Help define and evolve our MLOps standards, covering versioning, model registry practices, documentation and handover.
• Partner with Data Engineers on upstream pipelines and Data Scientists on model design, ensuring production requirements are considered from the outset.
• Take an active role in code reviews and coach Data Scientists in software engineering best practice.
• Monitor the cost and performance of our model estate and identify opportunities to make it more efficient.
• Help shape how machine learning engineering is done at PureGym, creating patterns and standards that can scale as our use of ML grows.

Skills

Python

SQL

Software engineering

Testing

Packaging

Code review

Version control

AI tooling

MLflow

CI/CD pipelines

GitHub Actions

Azure DevOps

Communication

Computing degree

Education

Degree in Computing/Engineering

Quantitative discipline or equivalent

Tools

Databricks

Unity Catalog

PySpark

dbt

Job description

PureGym, a leading fitness group, is hiring a Machine Learning Engineer for its Data and Analytics Team in London. The role blends hands-on development with production deployment, monitoring, and retraining of ML models in a hybrid work setup.

You will own the model lifecycle, build scalable pipelines, and collaborate with Data Scientists and Data Engineers to establish robust MLOps practices and reusable production components across the semantic layer.