Senior Data Scientist & Machine Learning Researcher

Join to apply for the Senior Data Scientist & Machine Learning Researcher role at Raytheon UK

Date Posted: 2025-11-05

Country: United Kingdom

Location:
Gloucester, 18b Ley Court, Barnwood Industrial Estate, Barnwood, Gloucester, Gloucestershire, GL4 3RT
Gloucester, London or Manchester

Position Role Type: Unspecified

Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required. Must already hold or be able to gain an eDV clearance.

Duration: Permanent

Hours: Fulltime 37 hrs

Raytheon UK is a leader in defence and aerospace technology, committed to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security while investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do.

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 project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.

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• Skills and Experience
  
• BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
  
• Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, 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‑solve with autonomy.
  
• Self‑starter, proactively finding solutions.
  
• Experience mentoring other team members and undertaking technical leadership on small projects or sub‑parts of larger deliveries.
  
• Desirable
  
• PhD or Masters degree highlighting experience of academic research.
  
• Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs or Docker).
  
• Working knowledge of Linux systems, basic command‑line functionality (AWS CLI, Docker CLI, SSH, LS, CD, etc).
  
• Experience deploying AI models in a scalable way for external users.
  
• Experience working in Cloud, especially AWS but also 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.
  

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• Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.
  
• Scope, design, and deliver data‑centric solutions while collaborating across disciplines.
  
• Undertake research and applied AI/ML tasks on both customer and internal research projects.
  
• Provide technical leadership in small project groups.
  
• Generate ideas for new research directions.
  
• Advise on suitability of group research ideas based on previous experience.
  
• Mentor more 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.
  
• Excellent communication skills, ready to present and demonstrate work internally and to senior stakeholders with adaptability to audiences of varying technical expertise.
  

• 
  
• Competitive salaries.
  
• 25 days holiday + statutory public holidays, with the option to buy and sell up to 5 days (37hr).
  
• Contributory Pension Scheme (up to 10.5% company contribution).
  
• Company bonus scheme (discretionary).
  
• Six 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 & shared parental leave.
  
• Car / Car allowance (dependent on grade/role).
  
• Private Medical Insurance (dependent on grade).
  

• 
  
• 37hr working week, although hours may vary depending on role, job requirement or site‑specific arrangements.
  
• Early 1.30pm finish Friday.
  
• Remote, hybrid and site‑based working opportunities, dependent on your needs and the role requirements.
  
• Flexible working culture focused on output, not desk time.
  
• Up to 5 paid days volunteering each year.
  

Raytheon UK is part of the wider RTX organisation, headquartered in Arlington, Virginia, USA. RTX provides advanced systems and services for commercial, military and government customers worldwide, comprising Collins Aerospace Systems, Pratt & Whitney, and Raytheon. With over 180,000 employees globally, RTX contributes over £2.7bn to the UK economy and supports 29,040 jobs across 13 UK sites.

All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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• 
  
• Seniority level: Mid‑Senior level
  
• Employment type: Full‑time
  
• Job function: Engineering and Information Technology
  
• Industries: Defense and Space Manufacturing
  
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