Senior Data Scientist & Machine Learning Researcher

Senior Data Scientist & Machine Learning Researcher

Location:

Gloucester, London or Manchester.

Hybrid role:
Must be prepared to work from a Raytheon or customer site depending on demand, with an average of 3 days a week on-site.

Security clearance: SC Required. Must already hold or be able to gain an eDV clearance.

Duration:
Permanent.

Hours:

Fulltime 37 hrs.

Company:
Raytheon UK. At Raytheon UK, we take pride in leading defence and aerospace technology, nurturing talent, and fostering a culture of excellence.

This role is within the Strategic Research Group (SRG). The SRG is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission‑focused problems. You will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final delivery in both customer and internal domains. You will demonstrate novel thinking, propose new ideas, and mentor others on your project team.

• BSc in Machine Learning, Data Science, Computer Science, Mathematics or a related field.
• Experience coding in Python and associated ML packages (Hugging Face, Tensor Flow, PyTorch).
• Established track record of delivering ML solutions to customers and internal stakeholders.
• Deep understanding of AI/ML algorithms for different data types and tasks, including Generative AI, NLP and computer vision, sufficient to undertake research and development beyond existing literature.
• Experience training and developing AI models, including Large Language Models.
• Ability to produce high‑quality scientific writing for internal & external stakeholders as well as academic publications.
• Problem‑solving with autonomy.
• Self‑starter, proactive in finding solutions.
• Experience mentoring team members and technical leadership on small projects or parts of larger deliveries.

• PhD or Master’s degree highlighting experience of academic research.
• Experience using robust ML pipelines, version control and environment management (e.g., venvs, Docker).
• Working knowledge of Linux systems and basic command‑line functionality (e.g., AWS CLI, Docker CLI, ssh, ls, cd).
• Experience deploying AI models in a scalable way for external users.
• Experience working in Cloud, especially AWS, GCP or Azure.
• Research publications in peer‑reviewed journals.
• Comfortable following agile processes for project delivery.
• Experience delivering AI/ML projects in defence or government.
• Existing network of contacts across defence and government.
• Experience writing technical project proposals.

• Develop complex, novel data‑science solutions, contributing significantly to ML projects with minimal guidance.
• Scope, design, and deliver data‑centric solutions while collaborating across disciplines.
• Undertake research and applied AI/ML tasks on customer and internal projects.
• Provide technical leadership in small project groups.
• Generate ideas for new research directions.
• Advise on suitability of group research ideas based on prior experience.
• Mentor junior team members within their project team and the wider SRG.
• Deliver AI/ML/Data Science solutions to a broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and develop required solutions.
• Communicate effectively, present and demonstrate work internally and to senior stakeholders, adapting to audiences of varying technical levels.

• Competitive salaries.
• 25 days holiday + statutory public holidays, plus the opportunity to buy or sell up to 5 days (37hr).
• Contributory Pension Scheme (up to 10.5% company contribution).
• Company bonus scheme (discretionary).
• 6 times salary Life Assurance with pension.
• Flexible Benefits scheme with extensive salary sacrifice options, including Health Cashplan, Dental, and Cycle to Work.
• Enhanced sick pay.
• Enhanced family‑friendly policies including enhanced maternity, paternity and shared parental leave.
• Car / Car allowance (dependent on grade/role).
• Private Medical Insurance (dependent on grade).

• 37‑hour working week; hours may vary depending on role, job requirement or site‑specific arrangements.
• Early…