Machine Learning Engineer

Datatech Analytics; Manchester; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading analytics firm in England is seeking a skilled candidate to develop and operationalise Python-based modelling tools and frameworks. The ideal applicant will collaborate across teams in Pricing and Analytics, ensuring robust engineering practices. Candidates should have experience building software products with Python and Git, and a mindset of continual improvement. If solving complex engineering challenges excites you, we want to hear from you. Eligibility to work in the UK is required.

Qualifications

• Strong experience building data or software products using Python and Git.
• A mindset of continual improvement and a passion for reliable, scalable engineering.
• The ability to collaborate effectively with both technical and non-technical colleagues.
• Experience delivering in a fast moving commercial environment.
• Exposure to regulated industries or personal lines insurance is beneficial but not essential.

Responsibilities

• Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle.
• Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models.
• Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices.
• Help raise engineering maturity across the department through best practice, knowledge sharing and high quality code delivery.

Skills

Building data or software products using Python

Using Git

Ability to collaborate effectively

Mindset of continual improvement

Experience in fast moving commercial environment

Job description

Responsibilities

• Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle
• Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models
• Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices
• Help raise engineering maturity across the department through best practice, knowledge sharing and high quality code delivery

Qualifications

• Strong experience building data or software products using Python and Git
• A mindset of continual improvement and a passion for reliable, scalable engineering
• The ability to collaborate effectively with both technical and non-technical colleagues
• Experience delivering in a fast moving commercial environment
• Exposure to regulated industries or personal lines insurance is beneficial but not essential

Applicants must be eligible and authorised to work in the United Kingdom.

If you are driven by building high quality ML tooling, enjoy solving complex engineering challenges and want to contribute to a major transformation, we would be keen to hear from you.