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For Companies At a Glance
- Tasks: Lead AI/ML projects from concept to delivery, solving real-world problems.
- Company: Join Raytheon UK, a leader in defence and aerospace technology.
- Benefits: Enjoy competitive salary, flexible working, and generous holiday allowance.
- Why this job: Make a difference in national security while advancing your career in tech.
- Qualifications: BSc in relevant field and experience with Python and ML packages required.
- Other info: Collaborative culture with opportunities for mentoring and professional growth.
The predicted salary is between 48000 - 72000 £ per year.
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 focused problems. In this role you will be responsible for the technical development and leadership of AI/ML 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 while mentoring others on your project team to deliver towards your proposed solution.
Skills and Experience
- BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
- Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
- Have an established track record of delivering ML solutions to customers and internal stakeholders.
- Demonstrate deep 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.
- 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.
- Problem solve with autonomy.
- Be a self-starter, being pro‑active in finding solutions.
- Experience of mentoring other team members and undertaking technical leadership on small projects or sub‑parts of larger deliveries.
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 command‑line functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd).
- Experience of deploying AI models in a scalable way for external users.
- 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.
- Existing network of contacts across defence and government.
- Experience of writing technical project proposals.
Responsibilities
- Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.
- Brings experience in scoping, designing, and delivering data‑centric solutions while working collaboratively across disciplines.
- Undertake research and applied AI/ML tasks on both customer and internal research projects.
- Provide technical leadership in small project groups.
- Generate ideas for new research directions.
- Advise on suitability of group research ideas based on previous experience.
- Mentor more junior team members within their project team and the wider 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 and to senior stakeholders 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 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, focused. More formal flexible working arrangements can also be requested and assessed subject to the role.
- Up to 5 paid days volunteering each year.
Senior Data Scientist & Machine Learning Researcher in England employer: Raytheon
Contact Detail:
Raytheon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist & Machine Learning Researcher in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Raytheon UK on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Strategic Research Group.
✨Tip Number 2
Prepare for your interview by brushing up on your technical skills. Be ready to discuss your experience with Python, ML packages, and AI algorithms. We want to see how you can apply your knowledge to real-world problems!
✨Tip Number 3
Show off your problem-solving skills! During interviews, share specific examples of challenges you've faced in previous projects and how you tackled them. This will demonstrate your autonomy and innovative thinking.
✨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, it shows you're genuinely interested in joining our community at Raytheon UK.
We think you need these skills to ace Senior Data Scientist & Machine Learning Researcher in England
Some tips for your application 🫡
Show Off Your Skills: 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!
Tailor Your Application: Take a moment to customise your application for the role. Mention specific projects or experiences that align with the responsibilities listed in the job description. This shows us you’re genuinely interested and have done your homework.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that’s easy to read and gets straight to the point.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Raytheon
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML algorithms, especially those relevant to the role. Be ready to discuss your experience with Python and ML packages like TensorFlow and PyTorch. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, particularly those that involved delivering ML solutions. Highlight your role in scoping, designing, and delivering these projects, and be ready to discuss any challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves mentoring and technical leadership, think of examples where you've led a team or mentored others. Be prepared to discuss how you approach problem-solving and how you encourage collaboration within your team.
✨Communicate Clearly
Practice explaining complex concepts in simple terms, as you'll need to present your ideas to both technical and non-technical stakeholders. Good communication is key, so consider doing mock interviews to refine your delivery and ensure you're comfortable discussing your work.
