Lead MLOps Engineer - Telematics

We are looking for an experienced MLOps Engineer who enjoys solving complex technical challenges and building the platforms, tooling, and processes that enable machine learning  Lead MLOps Engineer will design, build, and maintain the infrastructure that supports the full machine learning lifecycle, from feature generation and experimentation through to deployment, monitoring, and continuous improvement. You will play a key role in ensuring our predictive models and data products are reliable, scalable, and deliver measurable business value.

This role sits within our new Telematics Data Value team, comprising data scientists, analysts, and engineers. We work to turn our telematics data into underwriting advantage, enabling market-beating prices for customers.

• Provide technical leadership on ML platform architecture, helping shape the tooling, standards, and operating model used to deliver machine learning across the organisation.
• Develop and maintain automated workflows for feature engineering, model training, testing, deployment, monitoring, and retraining.
• Partner with Data Scientists and Data Engineers, and ML Engineers to ope rationalise predictive models and data products.
• Establish best practices for ML observability, model performance monitoring, CI/CD, versioning, governance, and reproducibility.
• Improve the reliability, scalability, and efficiency of our machine learning and data platforms.
• Work with cloud-native technologies and infrastructure-as-code to support modern ML workloads.
• Present technical solutions and outcomes to engineering, operational, and commercial stakeholders.
• Evaluate emerging technologies and contribute to the team's engineering standards and best practices. 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. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all Strong Python skills and experience building and operating machine learning solutions in cloud environments.
• Experience with MLOps tooling and practices, including CI/CD, containerisation, orchestration, model deployment, monitoring, and infrastructure automation.
• Experience using SQL and working with large-scale data platforms.
• Familiarity with modern cloud platforms such as Azure, AWS, or GCP.
• Experience collaborating across teams of Data Scientists, Data Engineers, Software Engineers, Operational and Commercial stakeholders.
• Understanding of software engineering best practices including testing, version control, code review, and observability.

• Technical excellence complemented by a strong understanding of business outcomes.
• A problem-solver who enjoys building robust, scalable solutions to complex real-world challenges.
• Able to work independently, seeking support where needed, while collaborating effectively across multidisciplinary teams.
• Curious, pragmatic, and willing to challenge existing approaches in pursuit of better outcomes.
• Passionate about engineering quality, automation, and continuous improvement

We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4

Cs culture. We provide insurance for over four million customers, but we know there's even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge. We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful…