Machine Learning Engineer

hackajob is collaborating with Leonardo to connect them with exceptional tech professionals for this role. Leonardo is one of the top ten largest defence companies globally, producing everything from helicopters to radios and investing heavily in technology across Defence, Transport, Energy, Aerospace, Space and Manufacturing.

The Leonardo Cyber & Security Division, one of three divisions in Leonardo UK, is a pivotal innovator, helping customers deliver and secure their digital transformation. It supplies technology and services for both civil and defence markets in the UK and worldwide, enhancing the capabilities of its customers. Within this division is our Data Practice, the setting for this role.

Leonardo’s Data practice works across a diverse array of sectors including Defence, Telecommunications, Energy and Finance to help secure national infrastructure in the UK and beyond.

This is a highly rewarding and hands‑on role with exposure across both traditional and cutting‑edge enterprise IT and bespoke Operational Technology systems. You will work in a dynamic environment with a team that is motivated to deliver innovative solutions to customers within defence, government and commercial sectors. We are after creative, passionate, technically savvy and personable people to grow our practice and solve some of the most challenging, exciting and critical challenges to the UK’s digital landscape.

Skills in Python and machine learning are critical to this role, as is exposure to the full data lifecycle.

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• 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
  
• Development of neural networks
  
• Implementing and maintaining MLops workflows
  
• Work alongside Data Engineers and DevOps Engineers to ensure continuous integration and deployment of machine‑learning models in production.
  
• Proactive learning and researching new technologies and software versions
  
• Working with cloud technologies and different operating systems
  
• Working closely alongside Data Engineers and DevOps engineers
  
• Working with big data technologies such as Spark
  
• Demonstrating stakeholder engagement by communicating with the wider team to understand the functional and non‑functional requirements of the data, the product in development and its relationship to the models.
  

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• UK SC Clearance or the ability to obtain it
  
• Demonstrable experience developing a variety of machine‑learning models
  
• Strong grasp of machine‑learning frameworks (e.g. PyTorch, Tensorflow)
  
• Knowledge of machine‑learning architectures, loss functions, tools and techniques
  
• Experience training machine‑learning models, including hyperparameter tuning and optimizing model performance
  
• Experience with (or at least exposure to) MLops workflows
  
• Experience with Python
  
• Experience with SQL
  
• Critical thinking and ability to problem‑solve
  
• Experience with data warehousing and database systems
  
• Exposure to working with CI/CD
  
• Knowledge of developing data pipelines
  
• Exposure to ETL (Extraction, Transformation and Load)
  
• Willingness to learn
  
• Solid understanding of software engineering principles
  

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• UK DV Clearance or the ability to obtain it
  
• A degree or similar in a STEM, Data, AI or a Programming‑related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable
  
• Proven track record of successfully completing AI projects that deliver tangible business results
  
• Experienced writing production‑level code
  
• Experience developing neural networks into production
  
• Experience with Docker
  
• Experience with NLP and/or computer vision
  
• Exposure to cloud technologies (e.g. AWS and Azure)
  
• Exposure to Big data technologies
  
• Exposure to Apache products e.g. Hive, Spark, Hadoop, NiFi
  
• Programming experience in other languages
  

This is not an exhaustive list, and we are keen to hear from you even if you don’t tick every box. The most important skill is a good attitude and willingness to learn.

You must be eligible for full security clearance. For more information and guidance please visit: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels

With a company‑funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities or been more accessible to as many people.

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• Flexible Working: Flexible hours with hybrid working options. For part‑time opportunities, please talk to us.
  
• Company funded flexible benefits: Access to private healthcare, dental schemes, Workplace ISA, Go Green Car Scheme, technology and lifestyle options (£500 annual allowance)
  
• Holidays: 25 days plus bank holidays, option to buy/sell leave and to accrue up to 12 additional flexi leave days per year
  
• Pension: Award‑winning pension scheme (up to 10% employer contribution)
  
• Wellbeing: Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion (Enable, Pride, Equalise, Reservists, Carers)
  
• Lifestyle: Discounted gym membership, Cycle to work scheme
  
• Training: Free access to more than 4000 online courses via Coursera
  
• Referral Incentive: You can earn a reward for successfully referring a friend or family member
  
• Bonus: Scheme in place for all employees at management level and below
  

For a full list of our company benefits please visit our website.

Leonardo is a global high‑tech company and one of the key players in Aerospace, Defence and Security. Headquartered in Italy, Leonardo has over 45,000 employees, of which 8,000 are based at 8 sites throughout the UK.

At Leonardo UK, we believe that a diverse and inclusive work environment unlocks our people’s full potential and drives innovation and creativity. We work hard to offer a welcoming, accessible and inclusive place to work for all of our people, creating a culture where everyone can thrive, feel safe and have a sense of belonging and connection.

This is a great opportunity to bring your talents and form an integral part of Leonardo’s future. We can help you develop your skills and offer great opportunities to develop and grow, so why not join us.

GB - Bristol - Coldharbour Lane

Hybrid

Hybrid