MLOps Engineer – Hybrid, Production ML Pipelines

Hastings Direct; Leicester; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Flexible hybrid working

4Cs bonus scheme

Pension and life assurance

Wellbeing programmes

Annual leave 25 days

Job summary

Hastings Direct in the United Kingdom is seeking an MLOps Engineer to turn pricing models and data science work into reliable production workflows. You’ll collaborate with Pricing, Data Science, Data Engineering and ML Engineering teams to build testable, reusable pipelines in a regulated environment.

The role is hands-on, focusing on Python, SQL, automation and good engineering practice within a modern data landscape. Hybrid work across Leicester, Bexhill and London is supported.

Qualifications

• Strong Python skills and experience building data or machine learning workflows.
• Good SQL skills and confidence working with structured datasets.
• Experience building reliable, reusable and maintainable code or pipelines.
• Understanding of machine learning fundamentals, especially supervised learning.
• Experience with Git, code review, testing and technical documentation.
• Exposure to cloud-based data or engineering environments.
• Good problem-solving skills and attention to detail.
• Clear communication skills, with the ability to explain technical ideas to different audiences.
• Comfortable working with data scientists, analysts, engineers and business stakeholders.
• A practical focus on quality, reliability, governance and maintainability.

Responsibilities

• Build, improve and maintain machine learning pipelines used within Market Pricing.
• Productionise Python-based models, notebooks and data science workflows.
• Move models from development into repeatable, tested production processes.
• Improve how model workflows are tested, released, monitored and maintained.
• Investigate issues across data, model and pipeline workflows.
• Automate manual steps where this improves quality, speed or control.
• Support good engineering practices, including Git, code review, testing and documentation.
• Make sure pipelines and model workflows are traceable, auditable and safe to change.
• Work closely with Pricing, Data Science, Data Engineering, ML Engineering and governance stakeholders.

Skills

Python

SQL

Data pipelines

Git

CI/CD

Documentation

Tools

Snowflake

Databricks

Airflow

MLflow

Azure DevOps

GitHub Actions

Job description

Hastings Direct in the United Kingdom is seeking an MLOps Engineer to turn pricing models and data science work into reliable production workflows. You’ll collaborate with Pricing, Data Science, Data Engineering and ML Engineering teams to build testable, reusable pipelines in a regulated environment.

The role is hands-on, focusing on Python, SQL, automation and good engineering practice within a modern data landscape. Hybrid work across Leicester, Bexhill and London is supported.