Location: Belfast, United Kingdom
Thales people architect solutions that are relied upon to deliver operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defensive systems for land, sea, and air. From early warning, to threat neutralisation, our platforms cover all levels from very short-range systems, to extended protection across the entire battle-space including Airspace Mobility Solutions, Vehicles and Tactical Systems and Missile Defence, Optronics, and Radar.
Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and that's why we offer you the flexibility to do what's important to you; whether that's part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.
An opportunity has arisen to join our Image Process and AI Engineering team with.in the Systems Engineering group, working on the research, design and development of innovative technical solutions that meet customer requirements and business needs.
The role will involve leading the development of models of launcher and DEW (sub)systems throughout the product lifecycle for:
Solution concepting
Subsystem trade studies
Platform-related AI/ML development and implementation
Performance prediction and trials analysis
The successful candidate will be expected to work in the image process and AI model development activities for a set of products or solutions, alongside developing and mentoring other team members. They will have significant specialist knowledge in AI/ML techniques and/or DEW systems, alongside knowledge of the other areas below:
Matlab/Mathworks toolset
Python and AI/ML libraries, e.g. Pytorch, Tensorflow
Object Detection, Tracking and Classification
Moving platform dynamics
Control and stabilisation
Remote sensors and data latency
Network communications
Algorithm implementation
Real time simulation
Skills, qualifications or experience:
A relevant degree in an engineering discipline, or significant commensurate experience
Experience of development and validation of AI/ML algorithms, preferably in an industrial context
Robust analytical skills and problem-solving capabilities
Ability to analyse complex information and develop solutions on time and on budget
Self-motivated, and capable of working on your own initiative
Interested in emerging technologies relevant to the business
Experience of mentoring/skills development
Good verbal, written and technical presentation skills
Membership of relevant professional body
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In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the Defence Business Services National Security Vetting (DBS NSV) Agency.
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working.
Thales UK is committed to providing an inclusive and barrier-free recruitment process. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment,if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact Resourcing Ops for mid to senior roles, or the Early Careers Team for graduate and apprentice roles.
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