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RTX (Raytheon)
RTX (Raytheon)

Leading company in the aerospace industry

Senior Data Scientist & Machine Learning Researcher at RTX (Raytheon)

RoleData Science
LevelSenior
LocationGloucester
WorkRemote
TypeFull-time
Posted1 day ago
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About the role

Date Posted:

2026-05-08

Country:

United Kingdom

Location:

Gloucester, South Gloucestershire

Position Role Type:

Onsite

Senior Data Scientist & Machine Learning Researcher Gloucester, Manchester Benefits:

  • £: Competitive salary

  • Contributory Pension Scheme (up to 10.5% company contribution)

  • 6 times salary ‘Life Assurance’ with pension

  • 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)

  • Company bonus scheme (discretionary)

  • 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

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, dependant on your needs and the requirements of the role.

  • Up to 5 paid days volunteering each year.

  • Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.

Cyber

Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today.

What You Will Do:

Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).

As a Senior Data Scientist and Machine Learning Researcher, 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.

The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems.

You can be based with 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 (on Day 1) and eDV clearance (once started).

Responsibilities:

  • Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.

  • Brings 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.

  • Generate ideas for new research directions and provide technical leadership in small project groups.

  • Mentor more junior team members within their project team and the wider SRG.

  • Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.

Required Skills & Experience:

  • BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field
  • Experience coding in Python and associated ML packages (Hugging Face, Tensor Flow, Py Torch).
  • 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.
  • Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications.
  • Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries.

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 of deploying AI models in a scalable way for external users.
  • Experience working in Cloud, preferably AWS but also GCP or Azure.
  • Research publications in peer reviewed journals.
  • Experience of writing technical project proposals

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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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Required skills

Data science

Machine learning

AI research

Applied analytics

Agile teamwork

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About RTX (Raytheon)

RTX (Raytheon)

RTX Corporation is a multinational aerospace and defense conglomerate formed from the merger of Raytheon Company and United Technologies Corporation. The company develops and manufactures aircraft engines, avionics, aerostructures, cybersecurity, guided missiles, air defense systems, satellites, and drones.

10,001+

Employees

Arlington

Headquarters

$165B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

3.8

Compensation

3.2

Culture

4.1

Career

2.8

Management

3.9

68%

Recommend to a friend

Pros

Excellent benefits and work-life balance

Cutting-edge technology and projects

Flexible hours and remote work options

Cons

Limited opportunities for promotion

High expectations and pressure can lead to stress

Can be bureaucratic at times

Salary Ranges

2,083 data points

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Junior/L3 · Systems Engineer

717 reports

$113,965

total per year

Base

$109,834

Stock

-

Bonus

$4,131

$83,866

$155,631

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

67%

Experience

Positive 0%

Neutral 67%

Negative 33%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

Common questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

System Design