Lead Machine Learning Engineer

Overview

We’re AND‑E – one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth.

We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class leadership credentials to bring our people with you on this journey and take us to the next level.

You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands‑on contribution to technical delivery, acting as a part‑time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel.

The role will also lead use case discovery, support pre‑sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non‑technical stakeholders.

If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you.

BE THE NEXT BIG THING, NOW.

• Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function.
• Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements.
• Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab.
• Lead multidisciplinary teams of ML engineers, ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement.
• Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab.
• Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable.
• Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate.
• Contribute hands‑on to delivery where required, particularly on complex or high‑priority engagements.
• Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders.
• Support pre‑sales activity in collaboration with the commercial team, including technical scoping and solution shaping.
• Partner with the Project Management function to scope, plan and support delivery engagements.
• Oversee the maintenance and continuous improvement of deployed solutions.
• Drive reuse of shared frameworks, standards and tooling across projects.
• Communicate technical decisions, risks and concerns clearly to non‑technical audiences.

• PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience.
• Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production‑grade ML systems and leading technical work across teams or projects.
• Strong software engineering background, with experience building and delivering machine learning or data‑driven systems in production or near‑production environments.
• Experience leading or managing machine learning engineers or other technical contributors in a delivery‑focused setting.
• Experience supporting pre‑sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams.
• Ability to provide technical leadership…