Machine Learning Engineer

LocationBristol, England, United Kingdom

Posted At8/3/2025

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Description

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

Building, integrating, testing and scaling models including NLP and Computer Vision.

Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance.

Developing deep learning architectures and implementing neural networks tailored to complex use cases.

Implementing and maintaining MLops workflows

Collaborating closely with Data Engineers and DevOps teams to support continuous integration, deployment, and automation.

Exploring new tools and frameworks to keep your solutions modern and efficient.

Working with cloud-native platforms, Linux/Windows environments, and big data technologies like Apache Spark.

Engaging directly with stakeholders to align model development with broader product and business goals.

What You’ll Bring

UK SC Clearance or the ability obtain it.
Awareness of deep learning model architecture and when is appropriate to use them.
Strong understanding of how machine learning components integrate within the broader system architecture and contribute to overall project objectives.
Understanding of how to use APIs to deploy machine learning models.

Hands-on experience with containerization.

Strong grasp of machine learning frameworks (e.g. PyTorch, Tensorflow).

Knowledge of machine learning architectures, loss functions, tools and techniques.

Experience developing & training machine learning models, including hyperparameter tuning and optimizing model performance.

Experience with (or at least exposure to) MLOps workflows, such as CI/CD pipelines.

Experience with Python and SQL.

Critical thinking and ability to problem solve.

Experience in developing data pipelines, including exposure to ETL (Extract, Transform, Load) processes

Good understanding of software engineering principles such as OOP and TDD.

Strong experience with best practices such as version control and unit testing.

Ability to communicate technical concept to non-technical colleagues.

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 https //careers.uk.leonardo.com/gb/en/security-and-vetting

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.

Time to Recharge Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
Secure your Future Benefit from our award-winning pension scheme with up to 15% employer contribution.
Your Wellbeing Matters Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity).
Rewarding Performance All employees at management level and below are eligible for our bonus scheme.
Never Stop Learning Free access to 4,000+ online courses via Coursera and LinkedIn Learning.
Refer a friend Receive a financial reward through our referral programme.
Tailored Perks Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.

Flexible working Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.

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!

Primary Location

GB - Bristol - Coldharbour Lane

Contract Type

Hybrid Working

Hybrid