Senior Machine Learning Engineer

Canopius Group is seeking a Senior Machine Learning Engineer to lead end‑to‑end design, delivery, and operation of production machine learning models on Databricks. The role is part of its Data team, responsible for empowering business units with data insights via an enterprise Lakehouse platform.

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• Lead design, development, testing, deployment, and monitoring of machine learning solutions on Databricks, ensuring continuous optimisation and retraining.
  
• Define and embed best‑practice standards and processes for MLOps in Databricks, ensuring model governance, version and access control.
  
• Develop and maintain automated validation tests for models: unit, integration, regression, and bias assessments.
  
• Assess stakeholder requirements, determine suitable machine learning approaches, and manage ethical and privacy considerations.
  
• Establish criteria for evaluating model reliability and KPIs for production systems.
  
• Create and update model documentation covering assumptions, methods, metrics, failure modes, and sensitivity analysis.
  
• Ensure traceability of datasets and results; manage audit requests.
  
• Collaborate cross‑functionally to deliver aligned solutions within deadlines.
  
• Identify root causes of production ML model issues.
  
• Educate wider teams on techniques and approaches.
  
• Stay up to date with ML features and trends; propose leveraging new capabilities.
  

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• Bachelor’s or higher STEM degree, or equivalent; confident understanding of statistical methods.
  
• Strong background in machine learning, data science, and/or data engineering.
  
• Proficient in production‑grade, scalable SQL, Python, and PySpark.
  
• Track record of delivering ML models to production.
  
• Experience establishing and embedding MLOps processes on Databricks.
  
• Experience building pipelines for structured and unstructured datasets.
  
• Excellent analytical and problem‑solving skills.
  
• Ability to work autonomously and in Agile teams.
  
• Adaptability to shifting priorities and timely communication of blockers.
  
• Strong communication skills; translate complex concepts to non‑technical audiences.
  

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• Stakeholder engagement: translate business problems into ML solutions, define requirements, success measures, and ethical considerations. Communicate clearly.
  
• Collaboration: deliver end‑to‑end ML solutions on time and share knowledge within cross‑functional squads.
  
• Adaptability: respond quickly to changes, flag risks, and maintain delivery momentum.
  
• Continuous Improvement: embed evolving MLOps standards, governance, and monitoring to improve reliability and performance.
  
• Innovation: keep pace with ML advances and apply new techniques on Databricks.
  
• Resilience: diagnose and resolve complex issues, maintaining quality under pressure.
  
• Future Focused: build scalable, governance‑oriented ML solutions aligned with enterprise strategy.
  

We offer a comprehensive benefits package that focuses on overall well‑being: hybrid working, competitive salary, non‑contributory pension, discretionary bonus, health (family) and dental coverage, and additional benefits enhancing financial, physical, social and psychological health.

Canopius is a global specialty lines (re)insurer. It is a leading insurer in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. We foster a distinctive, positive culture that encourages employees to flourish as people and build a business delivering profitable, sustainable results.

We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio‑economic background, religion or beliefs, marital or caring status, or any other status protected by law. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.

Manchester Area, United Kingdom

Mid‑Senior level

Full‑time