ML Ops Engineer

Job title:

ML Ops Engineer

Company

Thales

Job description

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 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.ML Ops Engineer
CrawleyThales Group’s global CortAIx initiative already employs over 600 AI and data specialists, being the first patent applicant in AI for critical systems in Europe with more than 200 patents filed to date. With more than 100 products integrating AI, the Group accelerates the development and deployment of trusted AI-powered systems in the most complex and challenging environments. cortAIx in the UK builds on this success and will serve as a focal point for AI innovation, bringing together cutting-edge technology, talent, and research to deliver AI solutions that are ethical, transparent, explainable, and operationally effective.We are actively recruiting for an experienced ML Ops Engineer to work with our existing CortAIx team at our site in Crawley.Primary Purpose of the Role:To drive the evolution and deployment of Data and AI capabilities within the businesses and to our customers in order to increase growth in orders and increased customer satisfaction.As part of a newly established software development team, the Factory AI/ML Ops Engineer will work with both the development team and the end user in Thales UK businesses. Supporting the Thales UK Digital and Data strategy the Software support engineer will; support the delivery software offerings into an internal catalogue of reusable/re-deployable capabilities focused around data and AI capabilities, helping deliver continuous evolution and deployment of factory developed software.The role will interact with other data solutions architects and engineers across the business working in Data and AI: delivering data solutions that make up new or enhanced market offers; mature AI technologies for deployment in Thales businesses, and act as a technical expert in solutions used transversally throughout the business.The role will be part of the Thales UK Data and Digital Competence Centre team to ensure that the technology strategy, human capabilities and opportunity pipeline is enabling the business strategy and growth. The role will connect with stakeholders across engineering, Thales UK and Group Digital Competence Centres thinking.Principal Relationships:

• Thales UK Data and Digital Teams – Digital Competence Centre – ‘Hub and Spokes’
• Thales UK and International Data and Digital Engineering Teams
• Thales Research organisations focusing on AI technologies

Key Responsibilities and Tasks:

• Set up and configure ML environments and deployment tools (e.g., Kubernetes, Docker).
• Write scripts to automate workflows and ensure reproducibility of ML experiments.
• Conduct regular performance reviews and data audits of deployed models.
• Work closely with data scientists to facilitate the transition of models from development to production
• Troubleshoot issues related to model performance and infrastructure
• Provide support and training to team members regarding ML Ops tools and practices
• Participate in cross-functional teams to drive best practices in ML model development and deployment.
• Create and maintain CI/CD Pipelines to enable efficient deployment of code by automating development and deployment processes
• Identify solution opportunities that focus on Reuse, maximising the return on development costs by reducing other programme development costs.
• Collaborate with development teams to enable the delivery of high-quality, secure, and scalable applications on the cloud with automated tools and scripts
• Recommend best practices and ensure the products developed within the organization are robust, secure and scalable
• Work with the product owner to address user needs
• Develop secure and high-quality production code, perform code reviews and able to debug issues
• Participate in agile threat modelling and vulnerability management
• Ensure compliance with security and regulatory requirements for MOD and high Design assurance software
• Develop solutions for where data can bring value to our offers and our customer
• Support the Customer Enterprise/Solution Data Architects in coordinating the data landscaping and cataloguing for Thales UK
• Support the Customer Enterprise and Solution Data Architects in the creation and influence of UK MoD standards for Data Management and solutions that support data management and integration
• Work to implement 3rd party data integrations to support internal and external use cases
• Working collaboratively with the various squads and technical roles to identify common issues and opportunities to improve operational and strategic delivery.
• Horizon scan for major disruptive technology trends (trend spotting) that affect business. Provide practical advice and best practices to overcome these challenges and successfully deliver the expected business outcomes.

Skills and experience required

• Experience in any related software/DevOps/DevSecOps/MLOps/AI roles within a regulated engineering environment.
• CI/CD deployment
• Software/AI development and deployment in complex programmes
• Strong Data and Application understanding with underpinning Infrastructure solution development
• Technical Documentation production to a high standard
• Logical Analysis of technical solutions and problem solving
• Experience working on Linux or Windows based infrastructure
• Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts.
• Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Understanding of algorithms and techniques for supervised and unsupervised learning.
• Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or Prometheus.
• Strong scripting skills in Bash, PowerShell, or similar scripting languages for automation of tasks and ability to write reusable and maintainable code to streamline ML operations
• Proficient in using version control systems like Git for managing code and collaboration with team members
• Excellent troubleshooting
• Awareness of critical concepts in DevOps and Agile principles
• Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT, predictive analytics, machine learning and artificial intelligence
• General IT Knowledge (applications, storage, networks, IT infrastructure, Infrastructure, service level agreements, Asset management etc)
• Familiarity with information management practices, system development life cycle management, IT services management, infrastructure and operations, and EA and ITIL frameworks
• Technical IT (security, transaction processing, user interface, data management, Operating Systems Services)
• Ability to design innovative solutions whilst adhering to strong security constraints.

Interpersonal Skills

• Ability to engage and influence a diverse set of stakeholders (Product Engineering Leaders, Customer, Design Authorities, Project Management, IS/IT).
• Able to influence a wide range of people to get things done – needs to be highly effective in a matrix based organisation – a good team player.
• Excellent communication skills and interpersonal skills – encourages an open environment where information and ideas are shared and innovative thinking is stimulated. Will be adept at effectively building stakeholder relationships and working collaboratively with customer, supplier and internal teams.
• Team player with a sharp intellect, challenging approach and a “can do attitude”.

Security Clearance statementThis role will require SC Clearance. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant will undergo, achieve, and maintain SC Clearance. 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 OfferWe’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.Our packages come with an array of wider benefits including a bonus, private healthcare, contractual salary/development reviews, internal first hiring and an environment design to allow you to thrive including allocation of training budgets and internal training academies.Thales is an equal opportunities employer and diversity and inclusion are integral to the success of Thales.#LI-CL1In 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 for mid to senior roles, or the for graduate and apprentice roles.Great journeys start here, apply now!

Expected salary

Location

Crawley, West Sussex

Job date

Sat, 03 May 2025 07:40:11 GMT

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