At a Glance
- Tasks: Lead and mentor a team of ML engineers while driving innovative projects.
- Company: Join AND-E, a fast-growing insurance company revolutionising connected mobility protection.
- Benefits: Enjoy competitive salaries, unmatched work-life balance, and comprehensive health benefits.
- Other info: Recognised as the Best Large Insurance Employer for 2023, we value diversity and inclusion.
- Why this job: Be at the forefront of AI and ML, shaping the future of insurance.
- Qualifications: PhD or MSc in a relevant STEM field with extensive ML engineering experience.
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.
Responsibilities
- 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[A1.1][A1.2], 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.
- Knowledge, Experience and Qualifications
Essential
- Ph D 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 across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems.
- Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement.
- Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse.
- Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders.
- Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems.
- Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences.
- Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments.
- Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel.
Desirable
- Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function.
- Experience in regulated, enterprise or operationally complex environments.
- Experience promoting reuse through shared frameworks, tooling, templates or engineering standards.
- Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions.
Why Join Us?
We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward.
We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND-E:
Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards.
Unmatched Work-Life Balance.
Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise.
We champion choice, flexibility, and balance in both work and home life.
Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported — including embracing neurodiversity and providing the tools needed to thrive.
We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer:
- 28 Days annual leave with the option to buy/sell up to 5 days holiday*
- Private Medical & Permanent Health Insurance*
- 4 x Annual salary Life Assurance*
- Health and
- Wellbeing
Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service)
- Financial and
- Lifestyle
Support: Offers financial flexibility through Wagestream*, annual season ticket loans*, cycle scheme*, and £250 towards driving lessons for you and dependents*.
- Subject to company performance and completion of probation
Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment.
Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics)
At AND-E, equal opportunity is more than a policy—it’s a promise.
We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic.
Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know.
We’re committed to making the process accessible and are happy to help
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer in Oxford
✨Dive Into Industry Networking Events
Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.
✨Use LinkedIn to Your Advantage
Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Aioi Nissay Dowa Europe). A thoughtful message explaining your interest can really make a difference!
✨Look Out for Graduate Schemes
Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.
✨Leverage Your Current Connections
Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Aioi Nissay Dowa Europe. Don’t shy away from asking for a coffee chat; you never know what doors it might open!
We think you need these skills to ace Lead Machine Learning Engineer in Oxford
Some tips for your application 🫡
Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.
Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Aioi Nissay Dowa Europe.
Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Aioi Nissay Dowa Europe. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.
How to prepare for a job interview at Aioi Nissay Dowa Europe
✨Know Your Numbers: Insurance Fundamentals
Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Aioi Nissay Dowa Europe to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.
✨Showcase Your Analytical Side
In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!
✨Prepare for Behavioural Questions
As a full-timer at Aioi Nissay Dowa Europe, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.
✨Know the Company Culture Inside Out
Understanding Aioi Nissay Dowa Europe's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.
