Embedded Systems Engineer - AI innovation

Safran
Llantarnam, Gwent, United Kingdom
Last week
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
13 May 2026 (Last week)

Benefits

25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Early finish on Fridays Competitive salary and annual bonus and pay review

Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets.

Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking.

Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world.

Embedded Systems Engineer - AI Innovation

Cwmbran, South Wales

On Site - occasional opportunity for home working

Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics

Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including:

*Early finish on Fridays

*Competitive salary and annual bonus and pay review

*25 days' holiday + bank holidays (option to buy/sell)

*Strong Pension scheme and life assurance

*Professional development, ongoing training, mentoring

*Onsite amenities: parking, restaurant, bicycle storage, showers

*Family-friendly and accessible workplace policies

Safran - Here, we craft excellence together.

At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision

We are looking for passionate individuals to join our Engineering Innovation team as an Embedded Systems Engineer at our Cwmbran, South Wales site.

Your Role

As a key member of our Research & Technology team at Safran Seats, you'll use cutting-edge artificial intelligence to improve our products and processes - particularly by elevating passenger experience with intelligent edge-based systems in aircraft cabins. You'll collaborate with experts, partners, and innovators, using your hands-on technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues.

*Build deep technical and regulatory understanding of our cabin/seat electronic and data systems.

*Develop and test edge-AI solutions that enhance passenger experience and advance internal R&T workflows.

*Lead proof-of-concept trials and demonstrate the value of AI for real Safran products.

*Drive projects through our Technology Readiness Level process, ensuring compliance and maturity.

*Share AI knowledge across teams; be an in-house AI ambassador!

*Manage external collaborations with universities and technology partners.

*Maintain up-to-date project plans, budgets, and technical records.

*Represent Safran at industry conferences and technology events.

We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation.

What You'll Bring

*Degree in Engineering, Computer Science, Data Science, Electronics, or similar (Essential)

*Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential)

*Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential)

*Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential)

*Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential)

*Proven experience in custom model generation with model optimisation to achieve performance targets within system constraints. (Essential)

*Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable)

*Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable)

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Machine Learning Engineer - Robotics & Perception

Jonathan Lee Recruitment Chetwynd Aston, Shropshire, United Kingdom
£45,000 – £55,000 pa On-site

Graduate Electronics & Software Engineer (2026 start)

Cambridge Consultants United Kingdom
On-site Clearance Required

Senior Electronics / Software Engineer

Cambridge Consultants United Kingdom

Software Engineering - 12 months

Cambridge Consultants United Kingdom
On-site

Senior Embedded Architect Manager

NVIDIA Cambridge, United Kingdom
On-site

Senior Embedded Architect Manager

NVIDIA Bristol, United Kingdom
On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.