Senior Machine Learning Engineer

Aioi Nissay Dowa Europe Limited; Oxford; Hybrid; GBP 85,000 - 115,000; Full time

Benefits offered by this job

Wagestream

Season ticket loan

Cycle to work

Driving lessons subsidy

Job summary

Aioi Nissay Dowa Europe Limited is seeking three Senior Machine Learning Engineers for hybrid, fixed-term roles through end of 2027, with potential permanence. You will design, deploy and operate privacy-focused ML systems within a multidisciplinary team, contributing to the CODAS project and related initiatives at AND-E Lab.

Ideal candidates have 5+ years in ML/AI, strong Python, cloud/MLOps experience, and a collaborative mindset to work with partners and stakeholders across experiments and

Qualifications

• Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or equivalent practical experience.
• 5+ years of work experience in relevant field.
• Strong software engineering capability in Python with clean, well-tested code.
• Experience developing and deploying ML/AI 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 across the lifecycle from experimentation to integration and operationalisation.
• Experience with data pipelines, APIs, system integration or user-facing AI applications.
• Ability to work effectively in technically complex, ambiguous environments with multiple stakeholders.
• Strong communication skills to explain technical issues to non-specialists.

Responsibilities

• Design, develop, test and maintain ML and AI software for CODAS and R&D Lab projects.
• Deliver technical components for a sovereign AI ecosystem, including ML services and data pipelines.
• Translate research outputs into robust, maintainable systems.
• Collaborate with partners to meet technical requirements and priorities.
• Adapt AI approaches to privacy-sensitive, secure deployment contexts.
• Integrate solutions into project infrastructure and partner environments.
• Troubleshoot data, technical and integration issues in development and deployment.
• Improve internal tooling, engineering standards and deployment practices.
• Communicate trade-offs and progress clearly to technical and non-technical stakeholders.

Skills

Python

ML systems

Generative AI

Cloud platforms

MLOps

Docker

CI/CD

Linux

APIs

Communication

Education

BSc or higher in STEM

Tools

Docker

Git

CI/CD tooling

Job description

Overview

We are seeking to recruit three Senior Machine Learning Engineers to join our team on fixed term contracts until the end of 2027 with a view to be made permanent for the right candidates. These are hybrid roles, offering a combination of at home and on‑site working. 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.

Senior Machine Learning Engineer

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 and 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, CoPilot, 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.
• 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.