Machine Learning Scientist

Aioi Nissay Dowa Europe; Oxford; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Competitive salaries

Up to 28 days annual leave (buy/sell)

Private medical insurance

Life assurance 3x annual salary

Pension advisory service

Cycle scheme

Financial flexibility (Wagestream)

Job summary

Aioi Nissay Dowa Europe is seeking a Machine Learning Scientist for its Aioi R&D Lab in Oxford. You will design, develop and maintain ML software to support a privacy-preserving generative AI ecosystem, with data residency, anonymisation and secure deployment principles.

You will work across a multidisciplinary, multi-partner environment to translate research into dependable live systems, tackling data processing pipelines, evaluation tooling and deployment-ready applications while ensuring

Qualifications

• Advanced degree or equivalent in ML/CS/Statistics.
• Experience in applied ML research or development.
• Experience with privacy-preserving ML and large language models is advantageous.

Responsibilities

• Design, develop, test and maintain ML/AI software for CODAS and R&D Lab initiatives.
• Deliver technical components for a sovereign AI ecosystem including ML services and data workflows.
• Translate research outputs into robust, maintainable systems for live deployment.
• Collaborate with internal and external partners to align requirements and priorities.
• Adapt AI/ML approaches to privacy-sensitive, secure deployment contexts.
• Integrate solutions into project infrastructure and partner environments.
• Troubleshoot data, integration and deployment issues.
• Contribute to engineering standards, reusable frameworks and tooling.

Skills

ML research

Communication

Team collaboration

Education

Master’s degree or PhD in Computer Science / ML / Statistics

Tools

Python

CI/CD

Git

Job description

As a Machine Learning Scientist at Aioi R&D Lab, 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 protocols and principles, as well as model‑based data protection achieved during both training and inference time. Working within a multidisciplinary and multi‑partner environment, you will research technical concepts core to the program and contribute towards developing them into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab.

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.

Essential Qualifications

• A Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline, or equivalent research or industry experience.
• Established work experience in the relevant field.
• A strong and demonstrable track record in applied ML/AI research or development, with recognised expertise in one or more relevant areas such as privacy‑preserving ML, generative AI, large language models, or federated learning.
• Deep understanding of modern ML methods, their assumptions and limitations, and the ability to reason about appropriate application in novel or constrained settings.
• Software engineering foundations in Python, including ML frameworks, version control, CI/CD, and reproducible experimental practices.
• Skills handling challenging data that requires understanding, preparation, organisation and augmentation before use for the purposes of ML/AI research or development.
• Experience working across the full ML lifecycle – from problem framing, experimentation and prototyping through to evaluation, integration and deployment.
• Ability to contribute to scientific publications, technical reports, and the dissemination of research findings to a wide audience.
• Communication skills, with the ability to explain technical concepts and trade‑offs clearly to both technical and non‑technical audiences.
• Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders.

Desirable Qualifications

• Experience with privacy‑preserving ML techniques such as differential privacy, federated learning, secure computation, or membership inference resistance.
• Experience with generative AI systems, large language models, agentic AI approaches, or evaluation methodologies for frontier AI.
• Experience working in a multi‑partner programme involving industry, government or academia.

Benefits

• Competitive salaries that recognise your skills and expertise.
• Unmatched work‑life balance and up to 28 days annual leave with the option to buy/sell up to 5 days holiday.
• Healix private medical insurance options.
• 3×annual salary life assurance.
• A range of health, wellbeing and financial support benefits, including money back on health expenses, employee assistance programme, flu jab voucher, virtual GP service and driving lessons for you and your family.
• Additional perks such as a pension advisory service, family‑friendly policies, season ticket loan, cycle scheme and financial flexibility through Wagestream.

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. Reasonable adjustments are available to support applicants during the recruitment process.