Senior Data Scientist & Machine Learning Researcher

RTX Corporation; Gloucester; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leader in defence and aerospace technology is seeking a skilled individual for AI/ML project development. The role involves mentoring team members, providing technical leadership, and delivering innovative data science solutions. Ideal candidates have a BSc in a relevant field and experience with Python, machine learning algorithms, and collaborative project work. This is an opportunity to join a team committed to advancing technology within a dynamic and flexible work environment.

Benefits

Competitive salaries

25 days holiday + statutory public holidays

Contributory Pension Scheme

Company bonus scheme

Flexible Benefits scheme

Enhanced family-friendly policies

Remote work opportunities

Qualifications

• Experience coding in Python and associated ML packages.
• Established track record of delivering ML solutions.
• Deep understanding of AI/ML algorithms.

Responsibilities

• Develop complex, novel data science solutions.
• Provide technical leadership in small project groups.
• Mentor more junior team members.

Skills

Python coding

AI/ML algorithm understanding

Team mentoring

Research skills

Education

BSc in Machine Learning, Data Science, Computer Science or Mathematics

Tools

HuggingFace

TensorFlow

PyTorch

Linux

Docker

Job description

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. In this role 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.

Responsibilities

• Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.
• Bring experience in scoping, designing, and delivering data‑centric solutions while working collaboratively 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 do the technical development required for delivery.

Requirements

• BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
• Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
• Have an established track record of delivering ML solutions to customers and internal stakeholders.
• Demonstrate deep 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.
• Experience of training and developing AI models including Large Language Models.

Desirable

• PhD or Master’s 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 command‑line functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd…).
• Experience of deploying AI models in a scalable way for external users.
• 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.
• Existing network of contacts across defence and government.
• Experience of writing technical project proposals.
• 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.

At Raytheon UK, 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.

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.

Benefits

• Competitive salaries.
• 25 days holiday + statutory public holidays, plus opportunity to buy and 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 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.
• Car/Car allowance (dependent on grade/role).
• Private Medical Insurance (dependent on grade).

Work Culture

• 37hr working week, although hours may vary depending on role, job requirement or site‑specific arrangements.
• Early 1.30pm finish Friday, start your weekend early!
• Remote, hybrid and site‑based working opportunities, dependent on your needs and the requirements of the role.
• A grown‑up flexible‑working culture that is output‑oriented, not time spent at desk, focused. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.
• Up to 5 paid days volunteering each year.