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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: Enjoy early finishes on Fridays and up to 5 paid volunteering days each year.
- Why this job: Make a real impact in defence through advanced data science and machine learning.
- Qualifications: BSc in relevant field and experience with Python and ML packages.
The predicted salary is between 45000 - 55000 £ 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 Salford employer: Raytheon U.K.
Contact Detail:
Raytheon U.K. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Machine Learning Researcher in Salford
✨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
Show off your skills! Create a portfolio showcasing your data science projects and machine learning models. We recommend using platforms like GitHub to share your work; it’s a great way to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. We suggest doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨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 Salford
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. Whether it's in your CV, cover letter, or any additional materials, we want to see how you can present your work to different audiences.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values.
How to prepare for a job interview at Raytheon U.K.
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML algorithms, especially those relevant to the role like Generative AI and NLP. Be ready to discuss your experience with Python and ML packages like TensorFlow and PyTorch, as well as any projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Highlight your autonomy in finding solutions and how you collaborated with senior team members to deliver successful outcomes. This will demonstrate your ability to contribute effectively to the team.
✨Communicate Clearly
Since you'll need to present ideas to both technical and non-technical stakeholders, practice explaining your work in simple terms. Think about how you can adapt your communication style based on your audience, and be prepared for practical demonstrations of your work.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team's current projects, the company culture, or how they approach research and development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.