Machine Learning Engineer
Posted a day ago
- Leeds, West Yorkshire
- Any
- External
- Expires In 3 months
Job Description Machine Learning Engineer
Salary: £70,000
Location: Leeds or Manchester
This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within Azure and Databricks environments. The engineer will work closely with data scientists in a collaborative, cross-functional setting, helping transition models from research into production.
Key Responsibilities:
Own and develop deployment frameworks for data science services.
Ownership of the deployment framework for all data science services. You will have oversight of how data will flow into the data science life cycle from the wider business data warehouse.
Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production.
Automate the data science pipeline (data prep to deployment).
Collaborate with cross-functional teams to ensure smooth productionization of models.
Write clean, production-ready Python code.
Apply software engineering best practices, CI/CD, TDD.
R...
Salary: £70,000
Location: Leeds or Manchester
This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within Azure and Databricks environments. The engineer will work closely with data scientists in a collaborative, cross-functional setting, helping transition models from research into production.
Key Responsibilities:
Own and develop deployment frameworks for data science services.
Ownership of the deployment framework for all data science services. You will have oversight of how data will flow into the data science life cycle from the wider business data warehouse.
Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production.
Automate the data science pipeline (data prep to deployment).
Collaborate with cross-functional teams to ensure smooth productionization of models.
Write clean, production-ready Python code.
Apply software engineering best practices, CI/CD, TDD.
R...