Senior Machine Learning Operations Engineer

We’re 1st Central, a market-leading insurance company utilising smart data and technology h has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And that’s the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!

We’re big on data: it gives us the insights we need to give the right cover to the right customers at the right price. But it’s our people inside and outside the business who truly power us. We’re currently on the hunt for an experienced Senior Machine Learning Operations Engineer to join our Data Function.

You’ll play a significant role within our Data & Analytics Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You’ll be technically proficient in machine learning and its applications; you’ll demonstrate an understanding of data management and show a keen interest in keeping up with industry trends. You’ll work closely with different teams such as Data Science, Data Engineering, and Software Development to ensure efficient operation and use of Data Science models.

You will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments.

This is a flexible hybrid role, with occasional visits to our offices in Salford Quays (Manchester) or Haywards Heath (West Sussex) when required. For those based further afield, we also welcome applications from remote UK based‑ workers
. We offer excellent flexibility in working patterns and a company‑wide culture you can be proud to be part of.

If you possess a strong understanding of applying MLOps frameworks in production, combined with a data engineering background and experience in Databricks and PySpark, we want to hear from you.

Technical

Skills:

Comprehensive knowledge of Databricks, Py Spark ,
Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory).

Data Science & Programming

Skills:

Fluency in Python and modelling frameworks such as PyTorch and Tensor Flow.

ML Ops Expertise: You’ll be skilled in deploying and managing Machine Learning Models within a production environment.

Analytical & Problem‑Solving: Excellent problem‑solving and analytical skills, with the ability to diagnose and troubleshoot problems quickly.

Organisational

Skills:

Strong time management and organisational abilities, experience working to tight deadlines.

Communication &

Collaboration:

Excellent communication skills, both verbal and written, ability to collaborate effectively with cross‑functional teams.

• You’ll contribute to the design and implementation of Machine Learning Engineering standards and frameworks.
• You’ll support model development, with an emphasis on auditability, versioning, and data security.
• You’ll implement automated data science model testing and validation.
• You’ll assist in the optimisation of deployed ML model scoring code in production services.
• You’ll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions.
• You’ll use CI/CD pipelines, manage the deployment and version management of large numbers of data science models (Azure Dev Ops).
• You’ll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.)
• You’ll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality.
• You’ll manage automatic model retraining within a production environment.
• You’ll engage in group discussions on system design and architecture, sharing knowledge with the wider engineering community.
• You’ll collaborate closely with data scientists, data engineers, architects, and the software development team.
• You’ll liaise with stakeholders across the business to ensure…