What you'll be doing

• Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery
• Developing and improving recommender systems, ranking models and customer-facing machine learning capabilities
• Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale
• Collaborating with Applied Scientists and Engineers to take models from experimentation into robust production systems
• Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics
• Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities
• Helping to improve how machine learning is developed, deployed and operated across the organisation
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Qualifications

About You

We're keen to hear from Machine Learning Engineers who enjoy solving real-world problems, learning from others and building systems that deliver meaningful impact.

You don't need to meet every requirement below to apply. If this role sounds exciting and aligns with your experience or career ambitions, we'd love to hear from you.

• Experience developing, deploying or operating machine learning solutions in production environments
• Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies
• Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems
• Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation
• An appreciation of MLOps practices and the challenges of deploying machine learning systems at scale
• Strong collaboration and communication skills, with experience working across engineering, science and product disciplines
• Curiosity, adaptability and a genuine enthusiasm for learning new technologies and approaches

During the programme, you will:

• Support the design and development of our world leading electro-optical, communications and information system products under the guidance of experienced Electronics Engineering Leads.
• Be introduced to utilising state-of-the-art methods, technology and tools to explore all aspects of the development lifecycle, including requirements analysis, design, implementation, test, acceptance and product support.
• Interface with customers (internal and external) on many factors within the design and liaise closely with Engineers from all other disciplines including Mechanical, Software, Systems, Supportability and Design Integrity.
• Electronics Engineers design, document, build and test electronics circuits and firmware designs to go into our various systems.
• You might be involved in designing for mixed signal design, power supply design, DAC/ADC, FPGA, high-speed serial interfaces and video/communication processing algorithms.
• Engage with all of these technologies across a diverse range of products including Thermal Imaging Cameras, Vehicle Camera systems, Counter UAV systems, Precision Guidance systems and Electronic Warfare products.
• Develop expertise in the design of circuits, FPGAs and subsystems at various stages in the product lifecycle. This will include requirements capture, performance analysis, design, code, verification, validation and support to integration and qualification. You will gain exposure to other engineering disciplines and business areas.

What you will bring

• All of our roles require (a) a minimum of a 2:2 Bachelors/Integrated Master’s degree, or (b) a higher degree, such as a MSc or PhD
• Acceptable degrees are:
• Electrical and Electronic Engineering
• Electronics Engineering
• Electronics biased degree including modules covering topics such as digital design, analogue design and signal processing
• Experience of using IC design and simulation tools
• A passion for solving complex engineering problems
• The drive to learn the skills required to become a professional Electronics Engineer.