At a Glance
- Tasks: Develop innovative AI/ML solutions and collaborate on exciting projects.
- Company: Join a leading team of AI specialists in a dynamic research environment.
- Benefits: Enjoy competitive salary, generous holiday, and flexible working options.
- Other info: Flexible culture with opportunities for volunteering and career growth.
- Why this job: Make a real impact in defence with cutting-edge technology and creative problem-solving.
- Qualifications: BSc in relevant field and experience with Python and ML packages.
The predicted salary is between 50000 - 65000 € per year.
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 focused 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 in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems, communicating these ideas effectively to senior technical leaders to feed into technical direction for your projects.
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 a 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.
Essential Qualifications
- 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 undertake research and development beyond existing literature, with support and technical direction from 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 proactive in finding solutions.
Desirable Qualifications
- PhD or Masters degree highlighting experience of academic research.
- Experience using robust ML pipelines, appropriate version control and environment management (e.g. 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 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 delivering AI/ML projects in defence or government.
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 HealthCashplan, Dental and Cycle to Work amongst others
- Enhanced sick pay
- Enhanced family friendly policies including enhanced maternity, paternity and shared parental leave
Work Culture
- 37‑hour working week, although hours may vary depending on role and 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.
Data Scientist & Machine Learning Researcher in Gloucester employer: RTX Corporation
As a leading employer in the field of Data Science and Machine Learning, our company offers a dynamic work environment where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development through collaboration with senior experts and involvement in cutting-edge AI projects. Our flexible working culture, competitive benefits, and commitment to work-life balance make us an attractive choice for those seeking meaningful and rewarding careers in defence-related technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist & Machine Learning Researcher in Gloucester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. Be ready to discuss your past projects and how you tackled challenges – this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist & Machine Learning Researcher in Gloucester
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with Python and ML packages like TensorFlow or PyTorch. We want to see how you've tackled real-world problems using these tools, so don’t hold back!
Be Clear and Concise:We love a good story, but keep it relevant! Make sure your application is clear and to the point. Use straightforward language to explain your projects and how you contributed to them, especially when discussing your AI/ML solutions.
Tailor Your Application:Don’t just send the same application everywhere. Tailor it to us! Mention specific projects or experiences that align with our mission-focused problems in defence. Show us why you’re a great fit for the Strategic Research Group.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at RTX Corporation
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning algorithms, especially those relevant to the role. Be ready to discuss your experience with Python and ML packages like TensorFlow or PyTorch, as well as any projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenging problems in previous roles. Think about specific situations where you had to develop novel solutions or work autonomously. This will demonstrate your ability to think critically and creatively, which is key for this position.
✨Communicate Effectively
Since you'll be presenting ideas to senior technical leaders, practice explaining complex concepts in simple terms. Tailor your communication style to different audiences, and be ready to engage in discussions about your ideas and how they can impact project direction.
✨Research the Company and Role
Familiarise yourself with the Strategic Research Group and their mission-focused projects. Understanding their work in defence and how your skills can contribute will show your genuine interest in the role and help you stand out during the interview.
