MLOps Engineer (12 months)

About the role

Why should you come and work for a Data & Analytics Delivery department within a Building Society?

Well, we’re evolving and growing. And that brings changes to everything we do. We’re taking a good look at what we do and how we can do it faster. More efficient.

We build things here. We make things better. We don’t accept the status quo. It’s the way work should be, and perhaps a little bit of whatever you want.

We want you to help us make our evolution a success. Bring your experience. Bring your passion. Bring your drive. We want it all.

You will be designing, developing and testing quality machine learning and data engineering solutions as well as s upporting the development, deployment and monitoring of machine learning models and data pipelines. Role involves challenging and improving our processes, tools and approach, and undertaking review and assurance activity, providing other team members with guidance on design, build and test activity.

We operate on a team led hybrid approach with 2-3 days per week in the office.  Role requires travel to other sites for key meetings and collaborative working subject to business demand. Role is based in Coventry and involves some occasional out of hours working (within Society’s overtime policy).

About you

You will have either a Computer Science, Data Engineering related qualification and/or relevant career experience in MLOps, Machine learning and Data Engineering in a commercial & Agile environment.

For this role you’ll need to have:

• Strong Machine learning Operations and data engineering development experience
• You may have experience with the following tools:

• AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology).
• Specific tooling - Databricks
• Strong Data related programming skills SQL/Python/Spark
• Experience of industrialising and scaling machine learning models.
• Experience in deployment, monitoring, retraining and lifecycle management of ML models.
• Understanding of containerisation and infrastructure tooling (e.g., Docker, Kubernetes – exposure beneficial)
• Exposure to MLOps practices such as model lifecycle management, monitoring, observability, and pipeline automation.

Experience in these areas would be helpful:

• Experience of working in a Finance related data context.
• SAS and Informatica experience
• Scala
• Experience of working in an Agile Team
• An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse)
• Experience of QA, testing automation, testing and testing standards.

Full time - 35 Hours

About us

In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with the UK’s original ethical bank was the start of an exciting journey.

Trusted by over four million people, we’re a mutually owned business free from shareholders, and with our combined experience of almost 300 years, our ethics and dedication will continue to guide us. Together, we have shared values and an ethical approach towards our members, customers and colleagues.

We’re officially recognised as a ‘Great Place to Work’ and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing. In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with the UK’s original ethical bank was the start of an exciting journey.

Trusted by over four million people, we’re a mutually owned business free from shareholders, and with our combined experience of almost 300 years, our ethics and dedication will continue to guide us. Together, we have shared values and an ethical approach towards our members, customers and colleagues.

We’re officially recognised as a ‘Great Place to Work’ and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing. 

We’re serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know you’ll build more than just a career with us.

Flexibility and why it matters

We understand the need for flexibility, so wherever possible, we’ll consider alternative working patterns. Have a chat with us before you apply to see what the possibilities are for this role.                                                                                               

Proud to be a Disability Confident Committed Employer

We’re proud to offer an interview or assessment to every disabled applicant who meet the minimum criteria for our vacancies. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme. If there are ever occasions where it is not practicable to interview all candidates that meet the essential criteria, such as when we receive a high number of applications, we commit to interviewing disabled candidates who best meet the minimum essential and desirable criteria.

Location

Hybrid