Data Scientist & Machine Learning Researcher
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Sep 9, 2026. RTX scores A on the Alion truth index.
Date Posted:
2026-09-09Country:
United KingdomLocation:
Gloucester, South GloucestershirePosition Role Type:
OnsiteThis role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems.
In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting 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.
You will communicate these ideas effectively to senior technical leaders to feed into technical direction of your projects.
This opportunity is available in our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance and eDV clearance (once started).
Responsibilities:
Develop, novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors.
Bring experience in developing and delivering data-centric solutions.
Undertake research and applied AI/ML tasks on both customer and internal research projects.
Work with autonomy on assigned tasks within project groups.
Generate ideas for new research directions.
Deliver AI/ML/Data Science solutions to broad range of problems in defence.
Work with more senior group members, customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise.
Required Skills & Experience
BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
Have experience of delivering ML solutions to stakeholders.
Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors.
Experience of training and developing AI models including Large Language Models.
Ability to produce high-quality scientific (academic style) writing for internal & external publication.
Problem solve with high levels of autonomy, with some input from technical leaders.
Be a self-starter, being pro-active in finding solutions.
Desirable Skills & Experience
PhD. or Masters degree highlighting experience of academic research.
Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker)
Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd…)
Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.
Research publications in peer reviewed journals.
Comfortable following agile processes for project delivery.
Experience of delivering AI/ML projects in defence or government.
Benefits and Work Culture
37hr working week with early finish Fridays - start your weekend early!
An informal, flexible working culture that is output focused, not time spent at desk.
25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering.
Contributory Pension Scheme (up to 10.5% company contribution)
Annual company bonus scheme (discretionary).
6 times salary ‘Life Assurance’ with pension.
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
Enhanced sick pay.
Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.
Raytheon UK
You will be based within the area of the business providing DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.
We take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated 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 whilst 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. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
RTX
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We’re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.
RTX adheres to the principles of equal employment. 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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