採用
福利厚生
•Healthcare
•401(k)
•Parental Leave
•Flexible Hours
•Unlimited Pto
•Learning
•Gym
•Mental Health
必須スキル
Python
Machine Learning
Data Science
AI/ML algorithms
NLP
Computer Vision
Generative AI
MLOps
Team Management
Technical Leadership
Scientific Writing
Date Posted:
2026-02-20
Country:
United Kingdom
Location:
Gloucester, South Gloucestershire
Position Role Type:
Unspecified
Gloucester, London or Manchester
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.
Raytheon UK
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.
About the role: This 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 work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.
Skills and Experience:
Requirements
- BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
- Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.
- Excellent coding practice using Python and associated ML packages (Hugging Face, Tensor Flow, Py Torch), following best practices.
- Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.
- Experience of appropriate version control and environment management (such as venvs or Docker).
- Experience of writing technical project proposals.
- Experience of managing teams. This can be technical leadership and/or line management.
- Experience of leading teams following agile principles.
- Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research 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.
- Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions.
Desirable
- PhD. or Masters degree highlighting experience of academic research.
- Experience of deploying AI models in a scalable way for external users.
- Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)
- 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.
- Experience of delivering AI/ML projects in defence or government.
- Existing network of contacts across defence and government.
Responsibilities
- Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
- Bring ideas for novel research that will drive competitive advantage in across our customer community.
- Work with autonomy to develop complex, novel data science solutions.
- Support in triaging and responding to opportunities, aligning to the group and wider business strategies.
- Design and deliver data-centric solutions while working collaboratively across disciplines.
- Technical delivery of research and applied AI/ML tasks on both customer and internal research projects.
- Provide technical leadership across multiple projects.
- Manage more junior team members across the SRG.
- Deliver AI/ML/Data Science solutions to 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.
- Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise.
Benefits and Work Culture
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 (dependant on grade/ role)
- Private Medical Insurance (dependant 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, dependant on your needs and the requirements of the role.
- A grownup flexible working culture that is output, not time spent at desk, focussed. 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.
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.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
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Collins Aerospace (RTX)について

Collins Aerospace (RTX)
PublicCollins Aerospace is a division of RTX Corporation that designs and manufactures aerospace and defense systems, including avionics, interiors, power systems, and mission equipment for commercial and military aircraft.
10,001+
従業員数
Charlotte
本社所在地
レビュー
3.7
10件のレビュー
ワークライフバランス
4.0
報酬
2.5
企業文化
4.2
キャリア
2.8
経営陣
2.7
65%
友人に勧める
良い点
Good work-life balance
Supportive and collaborative team environment
Interesting and innovative projects
改善点
Low and uncompetitive compensation
Limited career advancement opportunities
Disorganized management and lack of direction
給与レンジ
3件のデータ
Intern
Intern · Systems Intern (AI/ML focused)
1件のレポート
$97,400
年収総額
基本給
-
ストック
-
ボーナス
-
面接体験
2件の面接
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Systems Engineering
ニュース&話題
Bell Taps RTX’s Collins Aerospace To Provide Key Systems For MV-75 FLRAA - Aviation Tech Today
Aviation Tech Today
News
·
5d ago
RTX's Collins Aerospace wins a Crystal Cabin Award for its SkyNook solution - Investing News Network
Investing News Network
News
·
6d ago
An unused plane corner became a semi-private nook for families and pets - Stock Titan
Stock Titan
News
·
6d ago
Nearly 200 jets to get Collins' new cabin seat by late 2027 - Stock Titan
Stock Titan
News
·
6d ago