At a Glance
- Tasks: Lead AI solution architecture and develop innovative machine learning systems.
- Company: Join BAE Systems, a leader in technology and innovation.
- Benefits: Competitive salary, flexible working, health perks, and employee share plans.
- Why this job: Make a real impact in AI while working with a dynamic, young team.
- Qualifications: Experience in system architecture and machine learning lifecycles required.
- Other info: Inclusive culture that values diversity and offers excellent career growth.
The predicted salary is between 42000 - 84000 £ per year.
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: £70,000
What You’ll Be Doing
- Lead the development and governance of solution architectures, ensuring appropriate tools, resources, and technical strategies (including security and cost management) are applied effectively.
- Architect end-to-end machine learning pipelines and systems, incorporating Machine Learning (ML) Ops best practices, and provide expert guidance on ML techniques, ethics, and AI/data governance.
- Establish practices and standards for machine learning development and operations.
- Specify safety-related systems architectures for defined safety levels.
- Provide expert advice and guidance on machine learning techniques and applications.
- Design large, complex systems balancing functional and non-functional requirements; conduct impact analysis and risk assessments; review and improve system designs.
- Manage practices, analytics needs, data insights, and capacity planning to support decision‑making and scalable service components.
- Manage risks within area of expertise, promote continuous business improvements, and ensure compliance with organizational policies, standards, and health & safety regulations.
- Lead and coach teams, manage resources and milestones, and handle complex incident/problem management with minimal supervision.
- Collaborate with stakeholders to align technical initiatives with organizational goals, including policy development related to AI ethics and system architectures.
- Influence and communicate with senior customers, suppliers, and partners, providing authoritative advice on technical methods, tools, and strategic decisions.
- Identify and analyse hazards and contribute to identifying and evaluating risk reduction measures, ensuring these are adequately documented.
- Ensure safety assurance evidence is gathered for safety case preparation.
Your Skills And Experiences
- System Architecture experience with a focus on Artificial Intelligence.
- Experience of data science and machine learning lifecycles and applying relevant methods or approaches.
- Considerable stakeholder management experience.
- Relevant IT qualifications would be desirable.
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.
The Air Data Analytics Architectural team
The Air Data Analytics Architectural team support Data Science & AI initiatives within the IM&T function, providing solution design proposals for projects and programmes. You will be joining a young team who is at the cutting edge of delivery in this space within BAE Systems Air Sector. You will work closely with the Air Data Analytics Cluster Lead Architect and the Air Applied Analytics data science team.
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: 23rd February 2026. 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.
Solution Architect (Artificial Intelligence) in Burnley employer: BAE Systems
Contact Detail:
BAE Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect (Artificial Intelligence) in Burnley
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at BAE Systems. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI and machine learning. Real-world examples of your work can make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on system architecture concepts and ML Ops best practices. Mock interviews with friends can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at BAE Systems.
We think you need these skills to ace Solution Architect (Artificial Intelligence) in Burnley
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in system architecture and AI. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on your knowledge of machine learning lifecycles and any specific tools you've used. We love seeing candidates who can articulate their technical expertise clearly and confidently.
Highlight Stakeholder Management: Since this role involves considerable stakeholder management, share examples of how you've successfully collaborated with others in past projects. We’re looking for those who can communicate effectively and influence decisions.
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 ensure you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at BAE Systems
✨Know Your Architecture Inside Out
Make sure you’re well-versed in system architecture, especially in the context of Artificial Intelligence. Brush up on your knowledge of machine learning pipelines and governance practices, as these will likely be key discussion points during your interview.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your experience in managing stakeholders effectively. Think about how you’ve aligned technical initiatives with organisational goals in the past, and be ready to discuss how you can bring that expertise to the team.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions. Review common machine learning techniques, ethics, and AI/data governance principles. Being able to articulate your thought process and decision-making will impress your interviewers.
✨Demonstrate Your Leadership Qualities
Since the role involves leading teams and managing resources, prepare to discuss your leadership style. Share specific instances where you’ve coached teams or handled complex incidents, showcasing your ability to guide others while achieving project milestones.