Senior Machine Learning Engineer
Fruition Group
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
About
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.
Working on a strategic Lakehouse platform built on Databricks, you will influence how production ML models are designed, governed and optimised, helping the business turn complex data into reliable, decision-driving insight.
The role combines hands-on engineering with MLOps leadership, strong stakeholder engagement and long-term platform thinking.
Responsibilities * Lead the design, build, deployment and monitoring of production machine learning models using Databricks, ensuring performance, reliability and continuous improvement * Define and embed MLOps best practices including model versioning, governance, access control, monitoring and retraining strategies * Develop automated model validation tests covering unit, integration, regression and bias checks * Translate business problems into effective ML solutions, managing ethical, privacy and data governance considerations * Establish model performance KPIs, reliability measures and production monitoring frameworks * Document model design, assumptions, metrics, risks and failure scenarios, ensuring full data and model traceability * Diagnose and resolve production ML issues, leading root cause analysis and system improvements * Work within cross-functional agile teams and support knowledge sharing across the wider business Requirements * Degree in a STEM subject or equivalent experience with strong statistical understanding * Proven experience delivering machine learning models into production environments * Strong Python, SQL and PySpark skills for scalable, production-grade development * Hands-on experience establishing MLOps processes within Databricks * Experience building data xbpsjku pipelines for structured and unstructured data * Strong stakeholder communication skills, able to explain technical concepts to non-technical audiences * Experience working in agile delivery environments and managing shifting priorities What's in it for me? * Hybrid working model * Discretionary bonus * Non-contributory pension * Private medical and dental cover (including family options) * Life insurance and wellbeing-focused benefits * Supportive, collaborative data and technology environment * Opportunity to work on modern ML, MLOps and Lakehouse technologies at scale
Languages
- English
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