Junior Algorithms Engineer
Green Park
Full Time Entry-level / Junior Clearance required USD 89K - 166K *
Thales
From Aerospace, Space, Defence to Security & Transportation, Thales helps its customers to create a safer world by giving them the tools they need to perform critical tasksJunior Algorithms Engineer
Reading - Hybrid
Thales is a world leader in the design and manufacture of products for the worldwide defence, aerospace and security markets. Our Reading OME team design and manufacture a diverse range of Electro-Optical products including Thermal Imagers, Laser Rangefinders & Designators, Vehicle Sighting Systems and Submarine Periscopes & Optronics Masts.,
Image processing is a key component of our camera systems and with the emergence of enabling technologies that can realise more complex imaging processing techniques (such as those enabled by artificial intelligence), we are looking to add these key differentiators to our products. Algorithms engineering is seen as a key capability for our business and is well positioned to provide opportunity for career growth.
As an Algorithms Engineer, you will be involved in all aspects of algorithms engineering, including:
- Development of image processing algorithms for different applications
- Deployment of solutions on different processing platforms
- Assisting in the build and development of proof of concept hardware
- Supporting trials of sensors and algorithm systems
You will have the opportunity to work with a wide range of sensor products that encompass thermal imaging, visual imaging and laser systems. You will be expected to support multiple projects and as such will require planning and organising skills.
This is a development-based opportunity, we are ideally looking for a motivated individual with an ambition to deep-dive into Algorithms development for their long term career.
Skills, qualifications and experience
You will have Bachelor Degree, Masters Degree or PhD ideally within Mathematics, Physics or related subjects.
You will be competent in at least one programming language (e.g Python, C/C++, MATLAB/Simulink) and understand the basics of configuration and version management using tools such as Git.
Ideally, you will have knowledge and experience in some of the following:
- Familiarity with image processing techniques including; but not limited to; image enhancement, feature detection, tracking, classification and fusion
- Knowledge of computational physics methods
- GPU programming with CUDA
- Experience with embedding algorithms / software in computers
- Experience in working with spatial coordinates in complex geometries
- Knowledge of deep learning frameworks such as TensorFlow and application of AI to real world problems
- Statistics and digital signal processing techniques
Security Clearance statement
Due to the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a UK National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. If approved by the MOD, a dual national from a Non-ITAR country may be considered. Please visit the UKSV website for further guidance. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years’ residence in the UK over the last 5 years may be accepted, with additional overseas checks.
For further details of the evidence required to apply for Baseline and Security Clearance please refer to the National Security Vetting (NSV) Agency - United Kingdom Security Vetting - GOV.UK (www.gov.uk)
What We Can Offer
We’re committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you’ll have a myriad of opportunities within our diverse, global organisation.
Flexibility
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.
Thales is an equal opportunities employer and diversity and inclusion are integral to the success of Thales.
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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.
Great journeys start here, apply now!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification CUDA Deep Learning Engineering Git GPU Mathematics Matlab PhD Physics Python Radar Research Security Statistics TensorFlow
Perks/benefits: Career development
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