Senior Machine Learning EngineerFruition Group • Manchester, England, United Kingdom
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Senior Machine Learning Engineer
Fruition Group
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
Über
Location: Manchester, United Kingdom (Hybrid working)
Why Apply? This is an opportunity to shape how enterprise machine learning is delivered at scale within a modern data environment. 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 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
Whats 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
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Sprachkenntnisse
- English
Hinweis für Nutzer
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