Lead MLOps Engineer (Telematics)

Location: Hybrid in London, Bexhill, or Leicester, United Kingdom

Salary: Attractive salary based on experience, plus car allowance; annual pay reviews.

Company

hirify.global is a digital insurance provider serving more than four million customers and using pricing, data, and analytics to improve risk assessment, pricing, and underwriting outcomes in the UK.

What you will do

• Provide technical leadership for ML platform architecture, tooling, standards, and operating models.
• Build and maintain automated workflows for feature engineering, model training, testing, deployment, monitoring, and retraining.
• Partner with Data Scientists, Data Engineers, and ML Engineers to operationalise predictive models and data products.
• Establish practices for ML observability, model performance monitoring, CI/CD, versioning, governance, and reproducibility.
• Improve the reliability, scalability, and efficiency of machine learning and data platforms using cloud-native technologies and infrastructure as code.
• Present technical solutions to engineering, operational, and commercial stakeholders and evaluate emerging technologies.

Requirements

• 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 with Data Scientists, Data Engineers, Software Engineers, and operational and commercial stakeholders.
• Understanding of software engineering practices including testing, version control, code review, and observability.
• Ability to build robust, scalable solutions, work independently, and collaborate across multidisciplinary teams.
• Curiosity, pragmatism, willingness to challenge existing approaches, and commitment to engineering quality, automation, and continuous improvement.

Culture & Benefits

• Flexible hybrid working with office and home working arrangements discussed during recruitment.
• Training, development, recognition, and opportunities to contribute ideas through the 4Cs culture focused on colleagues, customers, company, and community.
• Annual 4Cs performance bonus and private medical insurance.
• Life assurance at four times salary, income protection, pension contributions matched up to 10%, and financial wellbeing support.
• 27 days of annual leave plus bank holidays, with the option to buy or sell one contracted week, alongside dental, healthcare, cycle-to-work, technology, and wellbeing benefits.
• Inclusive workplace with recruitment adjustments and support available through the Disability Confident Scheme; employment is subject to thorough referencing, including credit and criminal record checks.

Hiring process

• Recruitment screening call.
• First-round introduction with the hiring leader.
• Case study round combining technical and competency assessment.