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Artificial Intelligence Software Engineer

Thales Group, Crawley

Artificial Intelligence Software Engineer

Salary Not Specified

Thales Group, Crawley

  • Full time
  • Permanent
  • Remote working

Posted 2 days ago, 29 Oct | Get your application in today.

Closing date: Closing date not specified

job Ref: 886d8a21f2a94e0da46247170e6d4820

Full Job Description

  • Design and develop machine learning algorithms and deep learning applications
  • Prototype machine learning experiments and document findings and results
  • Train/retrain machine learning models
  • Solve complex problems with multi-layered data sets, and optimise using physics models.
  • Accurately define and estimate required effort for tasks
  • Contribute to successfully meet project and product deliverables within schedule and to budget
  • Produce quality software products by ensuring interfaces are well defined and documented, as well as correctly adhered to and understood
  • Mentor and share knowledge with junior team members
  • Professionally interact with internal and external customers to understand their needs
  • Provide feedback on the efficiency and effectiveness of the development environment
  • Remain current with developments in the machine learning industry, Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution
    • Choose between a technical expertise or a leadership path Build an international career within a leading Engineering Group

    Ability to execute tests and optimize machine learning models and algorithms. Machine Learning (Deep/Reinforcement Learning) and strong statistical and mathematical ability Python (experience in Jupyterlab/notebooks/IDEs) Experience in either PyTorch or Tensorflow frameworks (Tensorflow preferable) Software Continuous Integration & Delivery (CI/CD) ways of working Full software development lifecycle experience Desired Experience Agile software engineering Full data pipeline development (acquisition, processing, analysing, and management) High fidelity simulation or emulation development Javascript/Typescript, CSS, HTML (React stack) C++/Rust/highly performant language Docker CI tools (BitBucket/GitHub, Confluence, Git, Jenkins, Jira, Maven, Nexus, SonarQube) REST API SQL Kafka DIS/HLA Elastic Stack The design, implementation, test and integration of software, Due to the sensitive nature of much of the work undertaken by Thales Training Solutions, all applicants must hold or be eligible for UK MoD Security Clearance (SC level minimum).

    Thales people architect solutions that enable two-thirds of planes to take off and land safely. We create in-flight entertainment systems that engross 50 million fliers every year and we develop the avionics that control the world's largest commercial aircrafts. Our simulators train the next generation of pilots for fighter jets, transporters and search and rescue helicopters. And, together, each and every member of our aerospace team makes a difference. 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. We have an exciting opportunity for a AI Software Engineer that is skilled in machine learning that can build efficient, data-driven artificial intelligence systems in a research and development environment. If you enjoy statistics and programming and have the ability to confidently assess, analyse, and organize large amounts of data then this could be the role for you! Thales Training Solutions at is experiencing an exciting time of growth within the digital domain. You will be joining an existing team of dynamic engineers to play a key role in delivering Thales' next generation of simulation and training services. The teams work within an Agile development environment, using modern Continuous Integration (CI) processes and tooling. The ideal candidate will have work experience in one of the following domains
  • Data Analytics, Reinforcement learning & Machine Learning
  • Interoperability - data/logic sharing between applications, preferably simulation or emulation
  • Containerisation and/or Cloud-hosted software development
    • Thales Training & Simulation Our simulators and training services help seasoned staff keep up-to-date, and equip the next generation of armed forces across the World, from fighter pilots to front-line soldiers. We provide nations with products ranging from computer-based training (CBT), through to full-motion flight simulators and fully equipped in-theatre replica armoured vehicles. Every member of our workforce makes a difference as part of high-performing teams. 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 five major industries; Aerospace, Defence, Ground Transportation, 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 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., 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.