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- Tasks: Lead AI/ML projects from concept to delivery while mentoring junior team members.
- Company: Join Raytheon UK, a leader in defence and technology innovation.
- Benefits: Flexible working hours, 25 days holiday, and a contributory pension scheme.
- Why this job: Make a real impact in national security with cutting-edge AI technologies.
- Qualifications: BSc in relevant field and experience in Python and ML frameworks.
- Other info: Dynamic work culture focused on growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Raytheon UK has a unique, permanent opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, 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. Based in Gloucester, Manchester or London in a hybrid capacity (average of 3 days a week on-site). You must be eligible and willing to gain SC and eDV clearance.
Responsibilities
- Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.
- Bring 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.
- Generate ideas for new research directions and provide technical leadership in small project groups.
- Mentor more junior team members within their project team and the wider SRG.
- Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.
Required Skills & Experience
- BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
- Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
- Proven experience 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.
- Experience of mentoring and undertaking technical leadership on small projects.
Desirable Skills & Experience
- PhD or Masters degree.
- 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).
- Experience of deploying AI models in a scalable way for external users.
- Experience working in Cloud, preferably AWS but also GCP or Azure.
- Research publications in peer-reviewed journals.
- Experience of writing technical project proposals.
Benefits and Work Culture
- 37hr working week with early finish Fridays - start your weekend early!
- An informal, flexible working culture that is output focused.
- 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering.
- Contributory Pension Scheme (up to 10.5% company contribution).
- Annual 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.
Raytheon UK provides 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. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. Together, we are not just advancing technology; we are building a community committed to safeguarding a safer and more connected world.
Senior Data Scientist & Machine Learning Researcher in Manchester employer: Raytheon Systems
Contact Detail:
Raytheon Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist & Machine Learning Researcher in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and machine learning fields. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML. Use platforms like GitHub to share your code and document your thought process. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your past projects in detail. We want you to shine when it’s your turn to impress!
✨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. Let’s get you that dream role together!
We think you need these skills to ace Senior Data Scientist & Machine Learning Researcher in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI/ML projects and any relevant coding skills in Python. We want to see how your background aligns with the responsibilities outlined in the job description.
Showcase Your Projects: Include specific examples of your past projects, especially those involving machine learning solutions. We love seeing how you've tackled complex problems and delivered results, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI/ML and how you can contribute to our Strategic Research Group. We’re looking for novel thinkers, so let your creativity flow!
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 shows you’re keen on joining our team at Raytheon UK!
How to prepare for a job interview at Raytheon Systems
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML algorithms, especially in areas like Generative AI, NLP, and computer vision. Be ready to discuss your experience with Python and ML packages like TensorFlow and PyTorch, as well as any projects you've led or contributed to.
✨Showcase Your Leadership Skills
Since the role involves mentoring and technical leadership, prepare examples of how you've guided junior team members or led projects. Think about specific challenges you faced and how you helped your team overcome them.
✨Be Ready to Discuss Novel Ideas
Raytheon is looking for innovative thinkers, so come prepared with ideas for new research directions or solutions to complex problems. This could be a great opportunity to showcase your creativity and problem-solving skills.
✨Understand the Company Culture
Familiarise yourself with Raytheon's informal and flexible working culture. Be ready to discuss how you can contribute to this environment while delivering high-quality results. Highlight your adaptability and focus on output to align with their values.