ML Ops Engineer

ML Ops Engineer

Location:

Building 550 - Bristol Business Park, United Kingdom

Hybrid (Bristol)

About cort

AIx and Thales:
At Thales, we focus on building and delivering robust, real-life AI and Data solutions that make a tangible impact for our customers and society  global cort

AIx 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 environments. In the UK, cort

AIx is accelerating this mission by fostering technology, talent, and research focused on ethical, transparent, and explainable AI.

We’re looking for an MLOps Engineer who cares about building products and capabilities that really work in the field. At Thales, you’ll be empowered to create enduring solutions with broad impact, not just to develop prototypes or chase patents. Our structure supports long-term technical career growth, offering clear and supported paths for specialists and experts so you can achieve mastery and broad influence without giving up hands‑on technical work.

You'll enjoy both depth and breadth in your work, collaborating directly with business and technical teams.

Join a practical, forward‑thinking development team where you can influence ways of working, guiding and enabling data scientists to accelerate the translation of ideas into effective, operational features. You’ll play a key role as a force multiplier: not just delivering your own projects but elevating others and improving our collective output. We work with sensor data from a spectrum of sources, ranging from low‑SWAP commodity sensors to the most advanced solutions.

You’ll engage deeply with colleagues from a wide range of highly technical sensor domains, developing your expertise and learning from specialists who are leaders in their field. Your work will be instrumental in empowering users to make sense of critical situations and support timely, high‑consequence decisions.

Drive the evolution, deployment, and scaling of AI and Data capabilities within Thales and for our customers, increasing both business growth and customer satisfaction through reliable and innovative solutions.

• Set up and configure ML environments and deployment tools such as Kubernetes, Docker, and Linux Containers.
• Write scripts to automate workflows and ensure the reproducibility of ML experiments and deployments.
• Conduct regular performance reviews and data audits of deployed models.
• Influence and collaborate with data scientists, championing best practices to efficiently translate concepts into robust product features.
• Troubleshoot issues related to model performance and technical infrastructure.
• Provide support and training to team members on MLOps tools and practices; champion knowledge sharing and reusable patterns.
• Create and maintain CI/CD pipelines for automating development, test, and deployment processes.
• Identify and drive the adoption of reusable solutions enabling cost‑effective delivery across multiple projects and teams.
• Collaborate with development and IT teams to deliver secure, scalable, and high‑quality applications on the cloud, leveraging automation tools and scripts.
• Work with product owners to refine and meet user needs.
• Contribute actively to agile threat modelling and vulnerability management.
• Ensure the compliance of solutions with security and regulatory requirements especially high assurance, MOD‑related software.
• Support Customer/Solution Data Architects with data landscape coordination and cataloguing.
• Support and implement 3rd party data integrations for a wide range of use cases (internal and external).

• Experience in MLOps, Dev Ops, Dev Sec Ops , or related software or AI engineering roles in complex, regulated environments.
• Proficiency with CI/CD deployment processes.
• Track record of deploying software/AI solutions in complex programmes, with an emphasis on operational reliability and scalability.
• Strong technical documentation and logical analytical skills capable of problem‑solving at both systems…