Location: Reading
Hours of work: 37 Hrs/Week (Monday-Friday) – Minimum 3 days at office
Do you have an inquisitive and technical problem-solving mind? Are you a good communicator and a team player? Would you like to work in a supportive environment? Got your interest, then look no further…
What the role has to offer:
- The opportunity to join a world-class company of 80,000 employees and with operations in 68 countries
- Working with a supportive and friendly team.
- The opportunity for development and progression at all levels of the organisation and the support to succeed wherever you want to take your career in the future
Our Opportunity
We have an exciting opportunity in our Research, Technology and Innovation business. Due to a rapid period of growth we are looking to add AI/ML Research Engineers to the team. You will be a key member of the AI/ML research team within RTI and the AI Centre. The type of activities will include:
- Carry out fundamental feasibility studies, state-of-the-art surveys and modelling/simulation.
- Develop proof of concept demonstrators using appropriate software and hardware implementations.
- Work within a research team to invent and explore new concepts and technologies and demonstrate their applicability to the Thales businesses.
Key Responsibilities and Tasks:
- Leading small teams accelerating AI/ML core research in-particular deep learning in Thales UK.
- Developing state-of-art AI/ML solutions to business problems
- Coordinating with other research groups namely AI V&V, Human-Machine Teaming and applied AI.
- Help grow AI/ML research team capability and personnel.
- Under the governance of the Thales corporate technical strategy, investigate and develop new technologies and concepts up to (Technology Readiness Level) TRL5 of relevance across multiple market domains and a wide range of application areas.
- The successful candidate will be expected to be at the forefront of defining our research and development strategy within the area of AI & ML, whilst being comfortable to work within and potentially lead a group of researchers to deliver this strategy.
- To deliver work to agreed milestones and deadlines
About You
- The successful candidate will typically have a minimum of three years of experience in an appropriate AI/ML research or advanced development environment role.
- The successful candidate will typically have an Honours degree (minimum 2.1), a Master’s degree, or a PhD in an appropriate scientific or engineering discipline.
- Track record of working in, and delivering research in AI/ML roles.
- In-depth understanding of AI/ML research, in-particular deep learning techniques
- E.g. Understanding of what foundation models are, how they can be trained with self-supervised learning and how they can be adapted to various downstream tasks.
- Python with deep understanding of Pytorch (Tensorflow is OK but they would have to learn Pytorch).
- Ability to understand complex new data and adapt existing technology to work with new datasets
- Excellent communication skills, with the ability to understand and convey complex concepts.
- We also expect candidates to be proficient in the use of standard PC-based office tools. We currently use Microsoft tools: Windows, Word, Excel, PowerPoint, Access, Project & Visio.
Desirable:
- Experience in deployment of deep learning into production (developing robust ML-OPs pipelines).
- C++, Matlab, Java experience.
- Deployment of deep learning into edge devices, GPUs and FPGAs.
- Domain knowledge in various Imagery, acoustic and time-series datasets.
