MLOps Engineer in London

Location: Leicester / Bexhill / London – Hybrid

Welcome to Hastings Direct. We’re a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company, we’ve made huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4Cs culture and substantial investment in our people.

Role Purpose: We’re looking for an MLOps Engineer to help turn pricing models and data science work into reliable production workflows. You’ll work with Pricing, Data Science, Data Engineering and ML Engineering teams to build pipelines that are easier to test, release, monitor and maintain. The role is hands-on, with a focus on Python, SQL, automation, good engineering practice and controlled delivery in a regulated environment.

What you’ll do:

• Build, improve and maintain machine learning pipelines used within Market Pricing.
• Productionise Python-based models, notebooks and data science workflows.
• Help move models from development into repeatable, tested and documented 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.

Technology and ways of working: You’ll work in a modern data and machine learning environment. The role is likely to involve:

• Python, including libraries such as Pandas, NumPy and scikit-learn.
• SQL and large structured datasets.
• Cloud data platforms such as Snowflake, Databricks or similar.
• Git-based version control and code review.
• CI/CD and automated testing using tools such as Azure DevOps, GitHub Actions or similar.
• Model deployment, monitoring, versioning and governance.
• Reusable engineering patterns for production machine learning.

You do not need experience with every tool listed. Strong Python, SQL, engineering fundamentals and a willingness to work across data science and production workflows are most important.

What we’re looking for:

• 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.

Nice to have:

• Hands-on experience with cloud platforms such as Azure, AWS or GCP.
• Exposure to modern data platforms such as Snowflake, Databricks, Spark or similar.
• Experience with MLOps practices such as model deployment, monitoring, versioning or model registries.
• Exposure to workflow orchestration or deployment tools such as Airflow, MLflow, Azure DevOps, GitHub Actions or similar.
• Experience in pricing, insurance, financial services or another regulated environment.
• Understanding of model governance, responsible AI or explainability.

The interview process involves the below:

• Recruiter screening call
• Intro with Hiring manager
• Interview with hiring team – Case study
• Final chat with business leader

As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive. We also welcome applications through the Disability Confident Scheme (DCS).

Benefits: In addition to a competitive salary you will also receive:

• Flexible working – we champion a flexible hybrid working approach.
• Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus.
• Financial wellbeing – life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%.
• Mental wellbeing programme – access to mental health support and resources.
• 25 days annual leave + bank holidays, with the option to buy or sell one of your weeks.
• Access to health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes.

Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community.

If you are interested in any other positions at Hastings Direct, you can view our live vacancy list via our careers page.

Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.

At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us.