Job Specifications
hackajob is collaborating with Leonardo to connect them with exceptional tech professionals for this role.
The Opportunity
Leonardo is one of top ten largest defence companies globally, we make everything from helicopters to radios and have significant technological investment and products across Defence, Transport, Energy, Aerospace, Space and Manufacturing.
The Leonardo Cyber & Security Division, one of the three divisions in Leonardo UK, is a pivotal innovator, helping customers deliver and secure their digital transformation. The Cyber & Security Division is at the forefront of supplying technology and services for both civil and defence markets, in both the UK and around the world, to enhance the capabilities of its Customers. Within the Cyber & Security Division is our Data Practice which is where this role is positioned.
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
What You Will Do As a Machine Learning Engineer
This is a highly rewarding and hands on role with exposure across both traditional and cutting edge enterprise IT as well as bespoke Operational Technology systems. You will be working 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 help 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 well as exposure to the data lifecycle.
The Role Will Include
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 and the product in development and its relationship to the models.
Essential
What we are looking for:
UK SC Clearance or the ability 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
Desirable
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 (eg. AWS and Azure)
Exposure to Big data technologies
Exposure to Apache products eg. 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.
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. We therefore welcome candidates from all backgrounds and particularly encourage sections of the community who are currently underrepresented within our industry, including women, Black, Asian and ethnic minority backgrounds, people with disabilities and LGBTQI+ individuals to apply.
There is scope for those with greater experience to t
About the Company
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