Senior ML Engineer: Production ML on Databricks

Canopius; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global specialty lines (re)insurer in England seeks a Senior Machine Learning Engineer to lead the design and development of production ML models. The ideal candidate will have a Bachelor’s degree in a STEM subject and extensive experience in machine learning and data engineering. This hybrid role involves working cross-functionally and requires proficiency in SQL, Python, and Databricks. Competitive benefits include a pension scheme, health coverage, and a flexible working model.

Benefits

Hybrid working

Competitive base salary

Non-contributory pension

Discretionary bonus

Health insurance

Dental cover

Qualifications

• Experienced in machine learning, data science, and/or data engineering.
• Proficient in writing production-grade SQL, Python, and PySpark.
• Demonstrated ability to communicate effectively with stakeholders.

Responsibilities

• Lead the design and development of machine learning solutions on Databricks.
• Define MLOps processes ensuring model governance.
• Educate teams on machine learning techniques.

Skills

Machine learning

Data engineering

SQL

Python

MLOps

Analytical skills

Agile methodologies

Stakeholder engagement

Education

Bachelor’s degree in STEM subject

Tools

Databricks

PySpark

Job description

A global specialty lines (re)insurer in England seeks a Senior Machine Learning Engineer to lead the design and development of production ML models. The ideal candidate will have a Bachelor’s degree in a STEM subject and extensive experience in machine learning and data engineering. This hybrid role involves working cross-functionally and requires proficiency in SQL, Python, and Databricks. Competitive benefits include a pension scheme, health coverage, and a flexible working model.