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- Tasks: Join us as a Machine Learning Engineer, building and scaling innovative models in a dynamic team.
- Company: Leonardo is a leading global defence company, innovating across various sectors including Aerospace and Cyber Security.
- Benefits: Enjoy flexible working hours, private healthcare, and access to 4000+ online courses for your growth.
- Why this job: Be part of a diverse team tackling exciting challenges in the UK's digital landscape with impactful solutions.
- Qualifications: Experience in machine learning, Python, and a willingness to learn are essential; a STEM degree is preferred.
- Other info: We encourage applications from all backgrounds, especially underrepresented communities in tech.
The predicted salary is between 36000 - 60000 £ per year.
Job Description:
Your impact
Within Leonardo UK, our Cyber & Security Division leads the charge in digital transformation, delivering sophisticated solutions that protect both civil and defence infrastructure around the world. This role sits at the heart of our Data Practice, a growing team dedicated to unlocking the power of data across high-stakes domains like Defence, Telecommunications, Energy, and Finance.
Step into a high-impact, hands-on role where you\’ll be shaping the future of secure data systems and AI capabilities in some of the most critical areas of the UK’s national infrastructure. As a Machine Learning Engineer, you’ll be part of a forward-thinking team solving complex, real-world challenges through advanced analytics, automation, and intelligent systems.
This is your chance to work on projects that blend traditional enterprise IT with bespoke Operational Technology, all in a fast-paced, collaborative environment. We\’re looking for curious, creative minds—people who are not only technically skilled in Python and machine learning but also eager to explore, learn, and build secure, scalable AI solutions.
What you’ll be doing as a Machine Learning Engineer:
What you’ll bring
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, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit:
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. Whether you\’re looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive.
For a full list of our company benefits please visit our website.
Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety.
At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.
Be part of something bigger – apply now
Machine Learning Engineer employer: Leonardo
Contact Detail:
Leonardo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the specific machine learning frameworks mentioned in the job description, such as PyTorch and TensorFlow. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical capabilities during interviews.
✨Tip Number 2
Engage with the latest trends in machine learning and AI by following relevant blogs, attending webinars, or joining online communities. This proactive approach shows your passion for the field and can provide you with valuable insights to discuss during your interview.
✨Tip Number 3
Network with professionals in the defence and cybersecurity sectors. Attend industry events or connect with people on platforms like LinkedIn. Building relationships can lead to referrals and insider knowledge about the company culture and expectations.
✨Tip Number 4
Prepare to discuss your experience with MLOps workflows and CI/CD processes. Be ready to share specific examples of how you've implemented these practices in past projects, as this will highlight your practical skills and understanding of the role's requirements.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, Python, and any specific frameworks like PyTorch or TensorFlow. Use keywords from the job description to demonstrate that you meet the essential criteria.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how your skills align with Leonardo's mission. Mention specific projects or experiences that showcase your problem-solving abilities and willingness to learn.
Showcase Relevant Projects: If you've worked on AI or machine learning projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will help demonstrate your practical experience and technical skills.
Highlight Soft Skills: Leonardo values creativity and teamwork. In your application, mention instances where you've successfully collaborated with others or tackled challenges creatively. This will show that you fit well within their dynamic environment.
How to prepare for a job interview at Leonardo
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and machine learning frameworks like PyTorch or TensorFlow. Be prepared to discuss specific projects where you've developed, trained, or productionised machine learning models.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex problems in previous roles. Discuss your critical thinking process and how you approach optimising model performance or dealing with data lifecycle challenges.
✨Familiarise Yourself with MLOps Workflows
Since the role involves implementing and maintaining MLOps workflows, brush up on your knowledge of CI/CD practices. Be ready to explain how you've integrated machine learning models into production environments.
✨Engage with Stakeholders
The ability to communicate effectively with team members and stakeholders is crucial. Prepare to discuss how you've engaged with others to understand functional and non-functional requirements in past projects.
