At a Glance
- Tasks: Design and develop cutting-edge AI systems to revolutionise the insurance industry.
- Company: Join Aioi R&D Lab, a leading AI tech hub in a fast-growing insurance company.
- Benefits: Enjoy competitive salaries, 28 days leave, and unmatched work-life balance.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Be part of a transformative journey in AI while making a real impact.
- Qualifications: 5+ years in machine learning, strong Python skills, and experience with generative AI.
We’re Aioi R&D Lab – an AI tech hub in one of the fastest-growing insurance companies.
We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future.
We’re looking for dynamic, driven professionals like you to help evolve our business in new directions.
You’ll need first-class credentials and a proactive attitude to help us drive the change that underpins our mission.
As a Senior Machine Learning Engineer, you will support the development of a privacy-preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment principles.
Working within a multidisciplinary and multi-partner environment, the postholder will help translate research and technical concepts into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners.
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
- Design, develop, test and maintain machine learning and AI software in support of the CODAS project and related R&D Lab initiatives.
- Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment-ready applications.
- Support the translation of research outputs into robust, maintainable and operationally viable systems.
- Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities.
- Help adapt AI and ML approaches to privacy-sensitive, security-conscious and regulated deployment contexts.
- Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments.
- Troubleshoot technical, data and integration issues arising during development and deployment.
- Support the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab.
- Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders.
- Knowledge, Experience & Qualifications;
Essential
- Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience.
- 5+ year work experience in relevant field.
- Strong software engineering capability in Python, including writing clean, maintainable, well-tested and well-documented code.
- Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings.
- Experience with generative AI systems, LLM-enabled applications or evaluation pipelines.
- Experience with cloud platforms, MLOps tooling, model serving or platform engineering.
- Advanced use of Linux, Docker, version control, CI/CD and service-oriented deployment practices.
- Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation.
- Experience with data pipelines, APIs, system integration or user-facing AI applications.
- Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders.
- Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists.
Desirable
- Experience with privacy-preserving, secure or compliance-sensitive technical environments.
- Experience working in multi-partner programmes involving industry, government or academia.
- Experience in regulated industries such as insurance, financial services, public sector or national-scale infrastructure contexts.
- Familiarity with agentic systems design, MCP/A2A protocols, or inference-time privacy controls.
- Familiarity innovating with agentic-driven workflows and toolsets for both research and prototyping tasks, such as Claude, Claude-Code, Co Pilot, etc.
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
Senior Machine Learning Engineer in Oxford employer: Aioi Nissay Dowa Europe
At AND-E, we pride ourselves on being recognised as the Best Large Insurance Employer for 2023, offering a supportive and inclusive work environment in Newcastle. With a strong focus on employee growth, unmatched work-life balance, and an exceptional benefits package that prioritises health, wealth, and lifestyle, we ensure our team members feel valued and empowered to thrive in their roles. Join us to be part of a company that truly cares about your development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Oxford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Aioi Nissay Dowa Europe or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Aioi Nissay Dowa Europe.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Aioi Nissay Dowa Europe.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Aioi Nissay Dowa Europe that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Machine Learning Engineer in Oxford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Aioi Nissay Dowa Europe.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Aioi Nissay Dowa Europe and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Aioi Nissay Dowa Europe
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Aioi Nissay Dowa Europe uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
