Senior Integration Engineer

BAE Systems
Ayr
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Power Platform and Integration Developer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Job title:Systems Integration Engineer

Location:Prestwick (South Ayrshire – Scotland) – We offer a range of hybrid and flexible working arrangements. Please speak to your recruiter about the options for this particular role.

Salary:£46426 – £52676 (Commensurate with skills and experience)

What you’ll be doing:

As a Systems Integration Engineer you will use your engineering knowledge and experience to propose and develop solutions to problems throughout our product development cycle. This is a key role, bringing components and systems together to form a System of Systems. You will lead the integration of engineering across all aspects of Air platforms & products, covering all stages in the engineering lifecycle – from concept to delivery, managing the maturity of our engineering solutions as they develop, taking any corrective action required and ensuring high standards and good engineering governance. You can specialise in areas such as System Architecting, System Design, Configuration Control, Requirements Management or Qualification.

Your skills and experiences:

  • Degree educated in a STEM discipline or HND/HNC with sound experience of the Engineering Lifecycle
  • Evidence based experience in an engineering integration environment (Applicants encouraged from Aerospace, Automotive, Rail and Nuclear Industries)
  • Experience of Model Based Engineering approaches and the supporting methods and toolsets. (Teamcenter PLM, DOORs, CAMEO, MATLAB, ANSYS)
  • Proficient in the use of Microsoft Office Products (Word, Excel & PowerPoint)
  • Good communication skills across all levels of an organisation
  • Self-starter and pro-active but with the ability to work effectively in a team
  • Accreditation to the International Council of Systems Engineering (INCOSE), or equivalent body / institute, is desirable but not essential

The Systems Integration:

Would you like to play a key role in the Aerospace and Defence sector? We currently have multiple vacancies for Systems Integration Engineers, at multiple sites in the UK.

These opportunities for Systems Integration Engineers will complement our highly skilled and growing teams, working on cutting edge defence projects. These roles will give you a career in Engineering Integration, giving you a fantastic opportunity to build on your solid engineering experience and to develop your career. Our Systems Integration Engineers manage complex engineering projects through all stages in their lifecycle, from concept to delivery.

Career progression and development is encouraged within the team and the wider business.

Benefits:

You’ll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You’ll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts – you may also be eligible for an annual incentive.

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, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also 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:31stMarch 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-AP1

#LI-Hybrid

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.