Machine Learning Engineer 1

• 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., 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.

Do you have experience in Software deployment?, Do you have a Master's degree?, 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 the underpins our mission. We are looking for 2 Machine Learning Engineers to join us on an 18-month fixed term contract., * Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience.

• 2+ 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.
• Familiarity with 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.
• 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 generative AI systems, LLM-enabled applications or evaluation pipelines.
• Experience with privacy-preserving, secure or compliance-sensitive technical environments.
• Experience with cloud platforms, MLOps tooling, model serving or platform engineering.
• Experience with data pipelines, APIs, system integration or user-facing AI applications.
• 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.

Pulled from the full job description

• Annual leave
• Employee assistance programme
• Company pension
• Private medical insurance
• Cycle to work scheme
• Season ticket loan
• Free flu jabs, 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.

Our community's unwritten rule is to be as flexible as we can be. We understand life happens, and on

We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer:

• Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday*
• Healix Private Medical Insurance Options*
• 3 x Annual Salary Life Assurance*
• Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus).
• Financial and Lifestyle Benefits: Offers £250 towards driving lessons*, interest-free season ticket loan*, cycle scheme with discounts, Wagestream for financial flexibility*, and pension advisory services for retirement planning.
• Subject to company performance and completion of probation

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.