We're hiring a
Machine Learning Engineer
to help design and scale a modern ML platform within a centralised engineering team. You'll play a key role in enabling data science teams to take models from research into production at scale.
What you'll be doing
Architecting and operating ML platforms for large-scale AI systems
Building and maintaining reliable
CI/CD pipelines
for ML
Implementing
model monitoring, observability, and drift detection
Orchestrating ML workflows with modern pipeline tools
Collaborating with Data Engineers and Data Scientists to deliver end-to-end ML solutions
What we're looking for
5+ years' experience
in Machine Learning, Data Engineering, or MLOps roles
Strong experience
deploying ML systems in production
Skilled with frameworks such as
PyTorch, TensorFlow, Scikit-learn
Hands-on with
model tracking and deployment tools
(e.g., MLflow, SageMaker, Azure ML)
Familiar with workflow tools such as
Airflow
or similar
Strong background in
cloud-native infrastructure
and containerisation (Docker, Kubernetes)