At a Glance
- Tasks: Create impactful AI solutions and collaborate with a diverse team.
- Company: Join BAE Systems, a leader in innovative technology and inclusive culture.
- Benefits: Enjoy flexible working, competitive salary, and extensive health perks.
- Why this job: Make a real difference in AI while growing your skills in a dynamic environment.
- Qualifications: Proficiency in Python and AI/ML libraries; relevant degree or experience required.
- Other info: Opportunity for professional growth and exposure to various projects across the air sector.
The predicted salary is between 38000 - 57000 £ per year.
Job title: Data Scientist-AI Engineer Location: Warton, We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role. Salary: £47683 dependent on skills and experience What you\’ll be doing: Collaborate with others to create AI solutions that are impactful, scalable and thoughtfully developed-from early-stage ideas to real-world applications Partner with product managers, engineers, analysts and subject matter experts to co-create solutions that reflect a deep understanding of user and business needs Help ensure that AI systems are transparent, inclusive and aligned with ethical guidelines and governance frameworks, contributing to trust in AI technologies Keep up with emerging trends-especially in generative AI-and explore how they can be thoughtfully applied to benefit the organisation and its users Help foster an environment where diverse perspectives are valued, curiosity is encouraged and team members feel empowered to learn, experiment and grow together Your skills and experiences: Excellent working knowledge of Python and familiarity with key AI/ML libraries such as PyTorch, TensorFlow or Hugging Face Transformers Experience training and fine-tuning machine learning models, ideally including large language models (LLMs) or other deep learning approaches Comfortable working collaboratively with data scientists, engineers and stakeholders in an agile, team-oriented environment Familiarity with Retrieval Augmented Generation (RAG) techniques or experience using vector databases such as Qdrant Awareness of MLOps tools and practices, including versioning tools such as DVC Understanding of ethical considerations in AI, including bias mitigation and responsible machine learning practices Relevant Degree or Experience in this area Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts – you may also be eligible for an annual incentive. Applied Analytics Team In this role, you will be an integral part of a collaborative team comprising skilled professionals at multiple levels, fostering an inclusive and dynamic atmosphere where diverse perspectives drive innovation and excellence. Working closely alongside colleagues, you will contribute to a culture of shared knowledge and continuous improvement, ensuring that every project benefits from collective expertise. You will engage in early-stage experimental work as well as the exploration and development of new capabilities designed to meet the evolving needs of end users in an ever-changing world. This hands-on involvement in cutting-edge technologies and methodologies will allow you to directly influence the practical application of AI solutions across various sectors. The position offers the unique opportunity to work across the entire air sector, giving you exposure to a wide range of projects and challenges. This diversity not only keeps the work exciting and engaging but also broadens your experience and understanding of different domains, technologies, and business needs. You will be encouraged and empowered to take ownership of your work, making decisions and driving initiatives that have tangible impacts. Professional growth is a key focus, with access to comprehensive internal and external training programmes designed to support your ongoing development. Ultimately, this role provides a stimulating and rewarding environment where your contributions matter, your expertise is valued, and your personal and professional growth is actively supported. Why BAE Systems? This is a place where you\’ll be able to make a real difference. You\’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you\’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 22nd August 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. LI-Hybrid LI-JE141bf1e1f-b16b-4260-a40a-17c77a06fd15
Data Scientist - AI Engineer employer: BAE
Contact Detail:
BAE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI, especially generative AI. Being able to discuss recent advancements and how they can be applied in real-world scenarios will show your passion and knowledge during interviews.
✨Tip Number 2
Network with professionals in the field of data science and AI. Attend meetups, webinars, or conferences where you can connect with others who work at BAE Systems or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with collaborative projects. Highlight instances where you've worked with cross-functional teams, as this role emphasises teamwork and co-creation of solutions.
✨Tip Number 4
Understand the ethical considerations in AI, such as bias mitigation and responsible machine learning practices. Be ready to share your thoughts on these topics, as they are crucial for building trust in AI technologies.
We think you need these skills to ace Data Scientist - AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and key AI/ML libraries like PyTorch and TensorFlow. Include specific projects where you've trained or fine-tuned machine learning models, especially large language models.
Craft a Compelling Cover Letter: In your cover letter, emphasise your collaborative skills and how you've worked with product managers and engineers in the past. Mention your understanding of ethical considerations in AI and how you can contribute to a transparent and inclusive AI environment.
Showcase Relevant Projects: Include a portfolio or a section in your application that showcases relevant projects. Highlight any experience with Retrieval Augmented Generation techniques or MLOps tools, as these are particularly relevant to the role.
Research BAE Systems: Familiarise yourself with BAE Systems' values and recent projects in AI. This will help you align your application with their mission and demonstrate your genuine interest in contributing to their innovative work.
How to prepare for a job interview at BAE
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and key AI/ML libraries like PyTorch and TensorFlow. Bring examples of projects where you've trained and fine-tuned machine learning models, especially large language models, to demonstrate your expertise.
✨Understand Ethical AI Practices
Familiarise yourself with ethical considerations in AI, such as bias mitigation and responsible machine learning practices. Be ready to discuss how you can contribute to creating transparent and inclusive AI systems that align with governance frameworks.
✨Collaborative Mindset
Highlight your ability to work collaboratively in an agile environment. Share experiences where you've partnered with product managers, engineers, and analysts to co-create solutions that meet user and business needs.
✨Stay Updated on Trends
Demonstrate your knowledge of emerging trends in AI, particularly generative AI. Discuss how you can apply these trends thoughtfully to benefit the organisation and its users, showing your commitment to continuous learning and innovation.