Junior Research Engineer

Thales
Reading
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer - Research

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Location: Reading, United Kingdom In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible. 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. Junior Research Engineer 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… 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 a Research Engineer to the team. You will work in an applied research environment to investigate and develop new technologies and concepts across a wide range of Thales’s application areas. The type of activities will include: Fundamental feasibility studies, state-of-the-art surveys and modelling/simulation. Development of 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: As a Research Engineer you will: 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 group of other research staff, as well as being self-motivated to work individually, and be flexible to adapt into new research areas and ways of working. Effective Team Member, well-motivated and enthusiastic. Show initiative in the efficient and correct execution of the project and take responsibility for own project work. Innovate in developing solutions and meet team and individual objectives. Maintain professional and technical skills and be willing to learn new skills. Provide accurate estimates for own work and deliver it within budget. Follow processes and procedures as defined by the Project Management Plan. Presentation of technical information at reviews. Technical liaison with customer representatives to transfer technology. About You The successful candidate should have experience in some of the following: Mathematical modelling and simulation Numerical analysis of data and data science techniques Artificial Intelligence and Machine Learning techniques and methodologies MATLAB, Mathematica or other computer algebra system Signal and image processing techniques Algorithm development for sensor or other systems Sensor systems (e.g. optical, IR, video, radar, sonar) Software development (e.g. C++, Python) Embedded programming Solving problems using DSPs and/or FPGAs Radio or analogue electronics Whilst having some of these skills, the successful candidate must be flexible to move into/between these areas. Experience: The successful candidate will typically have some experience in a research or advanced development environment role and have a good awareness of the Thales businesses, structure, governance and processes. 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 Qualifications: Because of the advanced nature of our work, the successful candidate will typically have an honours degree (minimum 2.1), a master's degree, or a PhD in any of the following disciplines: Communications Engineering Computer Science Cybernetics, Information Technology Electrical & Electronic Engineering Electronics Electronics & Computing Mathematics Physics Software Engineering Telecommunication 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- United Kingdom Security Vetting - GOV.UK (www.gov.uk) 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. 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. Benefits at Thales We offer a competitive base salary and benefits package, which includes; Half day every Friday, usually finishing around 13:00pm Pension Scheme 28 days annual leave (Plus Bank Holidays) Life Cover Progression and Development Opportunities 24/7 Employee Assistance Program and access to mental wellbeing app Employee discount shopping schemes on major brands and retailers Thales is an equal opportunities employer and diversity and inclusion are integral to the success of Thales. LI-RS1 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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.