At a Glance
- Tasks: Develop AI software for cutting-edge defence and aerospace projects.
- Company: Join Leonardo, a leader in Aerospace, Defence, and Security.
- Benefits: Generous leave, pension scheme, mental health support, and flexible perks.
- Why this job: Make an impact on revolutionary projects like stealth fighter jets and laser weapons.
- Qualifications: Degree in computer science or engineering; experience with AI/ML and software development.
- Other info: Dynamic environment with opportunities for learning and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Leonardo Newcastle Upon Tyne, England, United Kingdom
AI Platform Software Engineer at Leonardo
Join to apply for the AI Platform Software Engineer role at Leonardo.
Your impact
Are you a software engineer with a working knowledge of Artificial Intelligence and Machine Learning? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If you like the sound of developing software for projects such as a 6th generation Stealth Fighter jet or a revolutionary Laser Directed Energy Weapon, then Leonardo would like to hear from you.
Leonardo has significant interest in exploiting AI/ML technology so this role will be supporting our systems engineers with research projects while developing deployable software that makes use of AI/ML technologies. We are looking for someone who’ll be passionate about our products, with a systems-thinking approach and experience of developing software for safety critical products.
What You’ll Bring
Experience of and passion for AI/ML. You should have a degree in computer science, engineering or a similar technical discipline combined with practical experience of delivering high-integrity software products in a regulated environment.
We are looking for the following technical skills:
- Industry experience of working on Agile projects across the full software lifecycle
- Experience of using C++ and Python with familiarity of numerical techniques
- Strong numeric, analytical and problem-solving skills with a focus on AI/ML algorithm development
- Experience delivering software in a regulated environment (medical, aerospace, or automotive)
- Experience of real-time operating systems and embedded development
- Experience working to an Agile lifecycle
- Awareness of machine-learning frameworks such as PyTorch, Keras/TensorFlow, MATLAB Machine Learning toolbox
- Awareness of mathematical libraries used for signal processing, image processing and data processing
- Awareness of high-performance computing and the challenges of parallel processing
This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.
Security Clearance
This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, which could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information please visit the Leonardo careers site.
Why join us
At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance.
- Time to Recharge: generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
- Secure your Future: pension scheme with up to 15% employer contribution.
- Your Wellbeing Matters: mental health support, financial advice, and employee networks championing inclusion and diversity.
- Rewarding Performance: bonus scheme for employees at management level and below.
- Never Stop Learning: access to 4,000+ online courses via Coursera and LinkedIn Learning.
- Refer a friend: financial reward through our referral programme.
- Tailored Perks: flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships, and more.
- Flexible working: onsite full-time work is required; for part-time opportunities, discuss possibilities with us.
For a full list of our company benefits please visit our website.
Leonardo is a global leader in Aerospace, Defence, and Security. We are committed to building an inclusive, accessible, and welcoming workplace. If you have any accessibility requirements to support you during the recruitment process, please let us know.
Be part of something bigger – apply now!
Location
Primary Location: GB – Edinburgh
Additional Locations: GB – Newcastle
Contract Type: Permanent
Hybrid Working: Onsite
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Other, Information Technology, and Engineering
- Industries: Defense and Space Manufacturing, Aviation and Aerospace Component Manufacturing, and Computer and Network Security
Referrals increase your chances of interviewing at Leonardo.
Newcastle Upon Tyne, England, United Kingdom
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AI Platform Software Engineer employer: Leonardo
Contact Detail:
Leonardo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Leonardo on LinkedIn or attend industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, let us see what you've built and how you think.
✨Tip Number 3
Prepare for the interview! Brush up on your C++ and Python skills, and be ready to discuss your experience with Agile projects. We love candidates who can demonstrate their problem-solving abilities.
✨Tip Number 4
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 team at Leonardo.
We think you need these skills to ace AI Platform Software Engineer
Some tips for your application 🫡
Show Your Passion for AI/ML: When you're writing your application, make sure to highlight your enthusiasm for Artificial Intelligence and Machine Learning. We want to see that you’re not just skilled, but genuinely excited about the tech and projects we work on!
Tailor Your Experience: Don’t just send a generic CV! Tailor your application to reflect your experience with Agile projects and high-integrity software. We love seeing how your background aligns with our needs, especially in regulated environments like aerospace.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit!
Apply Through Our Website: Make sure to apply through our official website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the info you need about the position there!
How to prepare for a job interview at Leonardo
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning. Be ready to discuss specific algorithms you've worked with, and how they apply to real-world problems, especially in defence and aerospace. This will show your passion and expertise in the field.
✨Showcase Your Software Skills
Prepare to talk about your experience with C++ and Python, particularly in the context of developing high-integrity software. Have examples ready that demonstrate your problem-solving skills and your familiarity with Agile methodologies.
✨Understand the Industry Standards
Familiarise yourself with the regulations and standards relevant to safety-critical software in sectors like aerospace or automotive. Being able to discuss how you've navigated these environments will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about Leonardo's projects and their use of AI/ML technologies. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.