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- Tasks: Develop innovative AI/ML solutions and collaborate with a dynamic team.
- Company: Leading tech firm focused on cutting-edge research in AI and machine learning.
- Benefits: Competitive salary, generous holiday, flexible working, and enhanced family policies.
- Other info: Flexible work culture with opportunities for volunteering and career growth.
- Why this job: Join a team making real-world impact through advanced AI technologies.
- Qualifications: BSc in relevant field and experience with Python and ML frameworks.
The predicted salary is between 50000 - 65000 £ per year.
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).
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 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 both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems. You will communicate these ideas effectively to senior technical leaders to feed into technical direction of 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 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.
Skills & Experience:
Essential:
- 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 be able to undertake research and development beyond existing literature, with some support and technical direction set by 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 pro-active in finding solutions.
Desirable:
- 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 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.
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.
Data Scientist & Machine Learning Researcher in Cheltenham employer: Raytheon
Contact Detail:
Raytheon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Machine Learning Researcher in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common data science questions and coding challenges. We recommend setting up mock interviews with friends or using platforms that simulate real interview scenarios. The more you practice, the more confident you'll feel!
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work in machine learning and data science. We love seeing practical applications of your skills, so make sure to include links to GitHub repos or any live demos.
✨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 often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist & Machine Learning Researcher in Cheltenham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist & Machine Learning Researcher role. Highlight your experience with Python, ML packages, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Communication Skills: Since communication is key in this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it's through your CV or cover letter, we want to see how you can present your thoughts effectively.
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 keen on joining the StudySmarter family!
How to prepare for a job interview at Raytheon
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML algorithms and the specific technologies mentioned in the job description, like Python and its ML packages. Be ready to discuss your past projects and how they relate to the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced and how you approached them, especially in a data-centric context. This will demonstrate your autonomy and innovative thinking.
✨Communicate Effectively
Practice explaining your ideas clearly and concisely, as you'll need to present to both technical and non-technical audiences. Tailor your communication style based on who you're speaking to, and be prepared for questions that may require you to adapt your explanations.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Consider asking about their current AI/ML projects or how they approach collaboration within the team.