Abrar Admin

Raytheon UK

<div>
 
 Date Posted:
 
 
 
 2026-06-24
 
 
 
 Country:
 
 
 
 United Kingdom
 
 
 
 Location:
 
 
 
 Gloucester, South Gloucestershire
 
 
 
 Position Role Type:
 
 
 
 Onsite
 
 
 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world&rsquo;s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
 
 
 Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today&rsquo;s mission and stay ahead of tomorrow&rsquo;s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
 
 
 Raytheon UK have a full time, permanent opportunity for a Software Engineer to join our team on our Gloucester or Manchester sites.
 
 
 You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas.
 
 
 Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing to attain an eDV clearance.
 
 
 In this area of the business we prove 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.
 
 
 
 Responsibilities
 
 
 
 Design and build software using industry best practice
 
 
 Collaborate with stakeholders and other engineers
 
 
 Contribute to the completion of milestones associated with your project
 
 
 Contribute to continuous improvement within your team
 
 
 Collaborate with your peers on technical direction within your team
 
 
 
 Desired Skills And Experience
 
 
 
 Core Software Engineering
 
 
 JavaScript frameworks (React, NextJS)
 
 
 TypeScript
 
 
 Python
 
 
 Java
 
 
 REST API development
 
 
 OpenAPI / Swagger
 
 
 Cloud &amp; Infrastructure
 
 
 Cloud services (AWS or Azure)
 
 
 Containerisation &amp; Orchestration (Docker, Kubernetes, OpenShift)
 
 
 Infrastructure as Code (Terraform, Ansible)
 
 
 Data &amp; Search Technologies
 
 
 Relational Databases (e.g. PostgreSQL)
 
 
 Elasticsearch / Opensearch
 
 
 Testing &amp; Quality
 
 
 Unit testing and automation
 
 
 Testing frameworks (e.g. Mocha, Jest, Cypress)
 
 
 Delivery &amp; Collaboration
 
 
 Experience working in an Agile delivery team
 
 
 Use of code repositories (e.g. GitLab); familiarity with branching strategies, pull requests and merge processes
 
 
 Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
 
 
 Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.]
 
 
 Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
 
 
 Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
 
 
 Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee&rsquo;s personal responsibility.
 
 
 Requires theoretical to advanced knowledge of work area typically obtained through University Degree combined with experience. Practical knowledge of RTX projects, programs
 
 
 or systems with the ability to make enhancements and leverage in daily work.
 
 
 Typically requires a University Degree or equivalent experience and minimum 2 years of prior relevant experience.
 
 
 Engineering/Other Technical Positions:Typically requires a degree in Science, Technology, Engineering or Mathematics(STEM) and a minimum of 2 years of prior relevant experience unless prohibited by local laws/regulations.
 
 
 
 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
</div>

Software Engineer

<div>
 
 Date Posted:
 
 
 
 2026-06-26
 
 
 
 Country:
 
 
 
 United Kingdom
 
 
 
 Location:
 
 
 
 Gloucester, South Gloucestershire
 
 
 
 Position Role Type:
 
 
 
 Onsite
 
 
 
 Senior Platform Engineer
 
 
 
 
 Gloucester
 
 
 
 
 Permanent, full time
 
 
 
 
 Hybrid
 
 (min 3 days a week on site)
 
 
 
 Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing and eligible to hold SC and eDV clearance.
 
 
 
 
 About Us
 
 
 
 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.
 
 
 
 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.
 
 
 
 Role &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Building and setting up development tools and infrastructure
 </li>
 <li>
 Understand the needs of project stakeholders
 </li>
 <li>
 Automate and improve development and release processes
 </li>
 <li>
 Ensure that systems are safe and secure against cyber security threats
 </li>
 <li>
 Identify technical problems and develop software updates and solutions
 </li>
 <li>
 Work with other engineers to ensure that development follows established processes and works as intended
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 Experience of working in an Agile/SCRUM/DevOps delivery mode
 </li>
 <li>
 Cloud technologies (AWS or Azure)
 </li>
 <li>
 Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc.
 </li>
 <li>
 Experience in building and deploying large-scale applications in
 </li>
 <li>
 Continuous Integration/Delivery pipelines;
 </li>
 <li>
 Container platform and orchestration systems ECS, AKS, Kubernetes/helm/Docker
 </li>
 <li>
 Experience in automation and integration tools such as Jenkins,
 </li>
 <li>
 Concourse CI or cloud equivalents
 </li>
 <li>
 Experience in scripting languages and source control
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 <ul>
 <li>
 &pound;: Competitive salary
 </li>
 <li>
 Contributory Pension Scheme (up to 10.5% company contribution)
 </li>
 <li>
 6 times salary &lsquo;Life Assurance&rsquo; with pension
 </li>
 <li>
 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
 </li>
 <li>
 Company bonus scheme (discretionary)
 </li>
 <li>
 Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others
 </li>
 <li>
 Enhanced sick pay
 </li>
 <li>
 Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave
 
 
 </li>
 </ul>
 
 Work Culture
 
 
 
 <ul>
 <li>
 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
 </li>
 <li>
 Early 1.30pm finish Friday, start your weekend early!
 </li>
 <li>
 Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.
 </li>
 <li>
 Up to 5 paid days volunteering each year.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 
 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.
 
 
 
 
 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
 
 
</div>

Senior Platform Engineer

<div>
 
 Date Posted:
 
 
 
 2026-05-28
 
 
 
 Country:
 
 
 
 United Kingdom
 
 
 
 Location:
 
 
 
 Gloucester, South Gloucestershire
 
 
 
 Position Role Type:
 
 
 
 Hybrid
 
 
 Raytheon UK has a perm opportunity for a Principal Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).
 
 
 As a Principal Data Scientist and Machine Learning Researcher, 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.
 
 
 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.
 
 
 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 (required on Day 1) and eDV clearance (once started).
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Support the Head of Data Science &amp; Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
 </li>
 <li>
 Bring ideas for novel research that will drive competitive advantage in across our customer community.
 </li>
 <li>
 Work with autonomy to develop complex, novel data science solutions.
 </li>
 <li>
 Support in triaging and responding to opportunities, aligning to the group and wider business strategies.
 </li>
 <li>
 Design and deliver data-centric solutions while working collaboratively across disciplines.
 </li>
 <li>
 Technical delivery of research and applied AI/ML tasks on both customer and internal research projects.
 </li>
 <li>
 Provide technical leadership across multiple projects.
 </li>
 <li>
 Manage more junior team members across the SRG.
 </li>
 <li>
 Deliver AI/ML/Data Science solutions to broad range of problems in defence.
 </li>
 <li>
 Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
 </li>
 <li>
 Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.
 </li>
 <li>
 Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.
 </li>
 <li>
 Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.
 </li>
 <li>
 Experience of appropriate version control and environment management (such as venvs or Docker).
 </li>
 <li>
 Experience of writing technical project proposals.
 </li>
 <li>
 Experience of managing teams. This can be technical leadership and/or line management.
 </li>
 <li>
 Experience of leading teams following agile principles.
 </li>
 <li>
 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.
 </li>
 <li>
 Experience of training and developing AI models including Large Language Models.
 </li>
 <li>
 Ability to produce high-quality scientific writing for internal &amp; external stakeholders as well as academic publications.
 </li>
 <li>
 Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions.
 
 
 </li>
 </ul>
 
 Desirable Skills &amp; Experience
 
 
 
 <ul>
 <li>
 PhD. or Masters degree highlighting experience of academic research.
 </li>
 <li>
 Experience of deploying AI models in a scalable way for external users.
 </li>
 <li>
 Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)
 </li>
 <li>
 Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd&hellip;)
 </li>
 <li>
 Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.
 </li>
 <li>
 Research publications in peer reviewed journals.
 </li>
 <li>
 Experience of delivering AI/ML projects in defence or government.
 </li>
 <li>
 Existing network of contacts across defence and government.
 
 
 </li>
 </ul>
 
 Benefits And Work Culture
 
 
 
 <ul>
 <li>
 37hr working week with early finish Fridays - start your weekend early!
 </li>
 <li>
 An informal, flexible working culture that is output focused, not time spent at desk.
 </li>
 <li>
 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering.
 </li>
 <li>
 Contributory Pension Scheme (up to 10.5% company contribution)
 </li>
 <li>
 Annual company bonus scheme (discretionary).
 </li>
 <li>
 6 times salary &lsquo;Life Assurance&rsquo; with pension.
 </li>
 <li>
 Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
 </li>
 <li>
 Enhanced sick pay.
 </li>
 <li>
 Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave.
 
 
 </li>
 </ul>
 
 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 &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon.
 
 
 Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;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.
 
 
 C&amp;I
 
 
 
 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
 
 
</div>

Principal Data Scientist & Machine Learning Researcher

<div>
 
 
 Date Posted:
 
 
 
 2026-05-27
 
 
 
 Country:
 
 
 
 United Kingdom
 
 
 
 Location:
 
 
 
 Warminster, Wiltshire
 
 
 
 Position Role Type:
 
 
 
 Hybrid
 
 
 
 About us:
 
 
 
 At OMNIA&reg; Training, we&rsquo;ve brought together some of the UK&rsquo;s most innovative defence training organisations under one powerful mission: to transform the British Army&rsquo;s training system and create the best-trained Army in the world.
 
 
 OMNIA are redefining the British Army&rsquo;s collective training. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world-class experts, like you. OMNIA is at the heart of the UK&rsquo;s bold Land Industrial Strategy.
 
 
 
 The role:
 
 
 
 You&rsquo;ll work in a matrix organisation and report operationally through OMNIA Training and functionally through the OMNIA AI Solutions Lead. Ultimately, you&rsquo;ll work for the British Army, championing innovation, and helping shape the future of military collective training.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and implementation of AI/ML solutions ensuring alignment with Army training objectives and Omnia architecture principles.
 </li>
 <li>
 Contribute to the design, development, and deployment of AI/ML solutions aligned to Army training objectives and enterprise architecture principles.
 </li>
 <li>
 Develop and maintain ML pipelines including data pre-processing, feature engineering, model training, validation, and performance evaluation.
 </li>
 <li>
 Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints.
 </li>
 <li>
 Monitor deployed models, analyse performance metrics, and implement tuning or retraining strategies to maintain operational effectiveness.
 </li>
 <li>
 Collaborate with data engineers and software teams to ensure scalable, maintainable, and secure AI components.
 </li>
 <li>
 Apply ethical AI principles including bias mitigation, data governance, and regulatory compliance in defence contexts.
 </li>
 <li>
 Produce high-quality technical documentation to support maintainability, auditability, and knowledge transfer.
 </li>
 <li>
 Support stakeholder engagement through demonstrations, technical briefings, and translation of complex AI concepts into accessible insights.
 </li>
 <li>
 Evaluate emerging AI tools and platforms for applicability to Army training use cases.
 </li>
 <li>
 Actively develop technical capability through structured learning and mentorship.
 </li>
 <li>
 All other tasks required to deliver the programme.
 </li>
 </ul>
 
 
 Who we are looking for:
 
 
 
 You&rsquo;ll have a mission focus, and the enthusiasm and drive to &lsquo;get things done&rsquo;. You&rsquo;ll want to work in collaboration with other defence training organisations, and the British Army. You won&rsquo;t let bureaucracy get in the way of what needs to be done, you&rsquo;ll learn lessons and share these lessons across the team. You&rsquo;ll understand what it means to put the mission first.
 
 
 The successful candidate will support the development and integration of AI/ML models aligned with Army training goals and OMNIA architecture, assisting with data preparation, model evaluation, and workflow automation. They will collaborate with technical teams, document processes, monitor model performance, and contribute to ethical AI practices. The role also involves learning emerging technologies, supporting stakeholder communications, and working within DevSecOps engineers to ensure smooth deployment and continuous improvement.
 
 
 
 Essential Skills and Experience:
 
 
 <ul>
 <li>
 Strong Python programming skills for AI/ML development.
 </li>
 <li>
 Hands-on experience with at least one major ML framework (e.g. PyTorch, TensorFlow, scikit-learn).
 </li>
 <li>
 Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments.
 </li>
 <li>
 Understanding of feature engineering, model validation, and performance evaluation techniques.
 </li>
 <li>
 Experience integrating ML components into wider software systems via APIs or microservices.
 </li>
 <li>
 Experience working with version control (Git) and collaborative engineering practices
 </li>
 <li>
 Experience contributing to CI/CD pipelines and containerised deployments (e.g. Docker, Kubernetes)
 </li>
 <li>
 Experience working with cloud or controlled compute environments
 </li>
 <li>
 Ability to document technical solutions for maintainability, audit, and operational support
 </li>
 <li>
 Understanding of secure coding principles and data protection requirements
 </li>
 <li>
 Awareness of responsible AI considerations (bias mitigation, explainability, privacy)
 </li>
 <li>
 Ability to work within regulated or governed environments and frameworks
 </li>
 <li>
 Strong analytical and problem-solving capability
 </li>
 <li>
 Ability to communicate technical concepts to non-technical stakeholders
 </li>
 <li>
 Experience collaborating within cross-functional engineering teams
 </li>
 </ul>
 
 
 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
 
</div>

Artificial Intelligence Engineer

Join Raytheon UK and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Raytheon UK

About Company

Software Engineer

Senior Platform Engineer

Principal Data Scientist & Machine Learning Researcher

Artificial Intelligence Engineer