2026 Machine Learning Operations

Location: Crawley United KingdomIn 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 aerospace transportation defence security and space our architects design innovative solutions that make our tomorrows 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 thats why we offer you the flexibility to do whats important to you; whether thats 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.2026 Machine Learning Operations (ML Ops) Engineering GraduateStart Date: 07 September 2026Salary: 34000 per annumLocation: CrawleyEmployee type: PermanentWorking Schedule: Monday Friday 37 hours a week (8 hours Monday Thursday 5 hours Friday)Are you passionate about AI Machine Learning and emerging technologies Are you future-thinking innovative and able to manage technical complexity Do you want to be part of a Graduate Programme that will develop and challenge you If so then look no furtherWhat the role has to offerPermanent role from day one no need to apply for a roll upon programme completionExciting and innovative projects that will challenge and develop youLearn from the best working alongside industry experts in our global CortAIx teamA fully funded Applied AI Engineering development programme and qualificationNew for this year this is an exciting opportunity to join our Digital Graduate Scheme designed to create the next generation of digital experts and to support the Thales UK digital transformation. We are looking for future thinking people who can use their initiative and fuel innovation through self-directed learning. Successful candidates will be able to navigate technical complexity and uncertainty. They will be able to communicate at all levels across both technical and non-technical teams and will have a passion for solving complex business problems.CortAIx and Thales:At Thales we focus on building and delivering robust real-world AI and Data solutions that make a tangible impact for our customersand society at large. Our global CortAIx initiative unites over 600 AI and data specialists dedicated to developing trusted operationally effective AI-powered systems for some of the most challenging and complex the UK CortAIx is accelerating this mission by fostering technology talent and research focused on ethical transparent and explainable AI. This programme presents a significant opportunity to work alongside our in-house experts whilst working towards a professional qualification in Applied AI Engineering.Graduate Programme:During this two-year programme you will be under the sponsorship and guidance of the CortAIx Leadership team where you will follow a structured and detailed learning pathway to fast track your development within your role.Following your Induction you will be given the opportunity to enrol upon an Applied AI Engineering qualification with our external provider Corndel. Delivered in partnership with Imperial College London and supported by Microsoft this qualification will run throughout your graduate programme culminating with an End Point Assessment and a Level 6 Machine Learning Apprenticeship qualification. You will be given time each week to focus on your academic studies and for the rest of the time you will be working alongside our ML experts applying your academic learning into real-life projects and challenges.Requirements: You will have gained or be on track to achieve a bachelors degree in a STEM Subject in one of the following subject areas:Computer ScienceMathematicsBSc (Bachelor of Science)PhysicsBSc (Bachelor of Science)Applied Neuroscience BScData Science BScAll other digital degrees will be considered but please note that to be eligible you must not hold a degree qualification in either an AI or Machine Learning related discipline. Please note that Graduate Development Programme (GDP) activities take place during the working week but may require the investment of some personal time for travel and follow-up activities. You may have the opportunity to travel to Thales and non-Thales sites throughout the UK when participating in GDP activities.Benefits201 hours annual leave (plus a company day and bank holidays)Company PensionHealth Care Cash PlanLife InsuranceDiscount PortalPerformance-related pay uplifts80 Hours Volunteering (first two years)Please note assessment centres for shortlisted candidates will be held between February - May 2026. Induction week for all Graduate and Apprentices will take place from Monday 07 September - Friday 11 September 2026.Closing date: Our applications will close at 11.59pm on Monday 5 January 2026 this is the only time we will be accepting applications this year. Please note we will be in contact by the end of February 2026 with details of next steps.PLEASE NOTE THAT ROLES MAY CLOSE EARLIER THAN THE ADVERTISED DEADLINE IF WE RECEIVE A HIGH NUMER OF APPLICATIONS. WE ENCOURAGE YOU TO APPLY AS SOON AS POSSIBLE TO AVOID MISSING OUT ON THIS OPPORTUNITY.Recruitment Process: For further information about our Future Talent recruitment process including hints and tips or to connect with a member of the Future Talent Team a Graduate or an Apprentice please visit Thales Future Talent - Connectr.Due to the nature of the work that we do at Thales all of our roles are subject to security restrictions.All successful candidates must possess the permanent right to work in the UK andwill be required to go through Government security clearance at BPSS Level and to obtain full SecurityClearance (SC) in line with the United Kingdom Security Vetting (UKSV) requirements below prior to starting with us. This role requires Security Clearance (SC). 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. 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. As part of the vetting process you will be asked to provide evidence of your identity eligibility to work in the UK time spent abroad over the last 5 years as well as employment and / or educational history.For further details of the evidence required to apply for security clearance please follow this link - is an equal opportunities employer and diversity and inclusion are integral to the success of Thales.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 80000 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 Teamfor graduate and apprentice roles.Great journeys start here apply now Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Full-Time Experience: years Vacancy: 1