AI Platform Software Engineer in North East

AI Platform Software Engineer in North East

North East Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Leonardo

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.
  • Other info: Dynamic environment with opportunities for learning and career growth.
  • 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.

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 in North East employer: Leonardo

At Leonardo, we pride ourselves on being an exceptional employer, particularly for those passionate about AI and software engineering in the defence and aerospace sectors. Our Newcastle Upon Tyne location offers a collaborative work culture that prioritises employee wellbeing, with generous leave policies, comprehensive benefits, and extensive learning opportunities through platforms like Coursera and LinkedIn Learning. Join us to contribute to groundbreaking projects while enjoying a supportive environment that fosters professional growth and inclusivity.

Leonardo

Contact Details:

Leonardo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Platform Software Engineer in North East

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Leonardo or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Leonardo.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Leonardo.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Leonardo that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Platform Software Engineer in North East

Artificial Intelligence (AI)
Machine Learning (ML)
C++
Python
Numerical Techniques
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Leonardo.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Leonardo and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Leonardo

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Leonardo uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.