Machine Learning Engineer Salary: £70,000
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.
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).
Write clean, production-ready Python code.
Apply software engineering best practices, CI/CD, TDD.
Proficiency in Python, Databricks, and Azure.
Experience with deployment tools (e.g., Strong software engineering background (CI/CD, VCS, TDD).
Ability to integrate ML into business workflows.
Familiarity with ML frameworks like TensorFlow, XGBoost, and SKLearn.
com SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.