ML Ops Engineer
Location: Bristol – Hybrid
About 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 customers—and 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 environments. In the UK, cortAIx is accelerating this mission by fostering technology, talent, and research focused on ethical, transparent, and explainable AI.
Primary Purpose of the Role: 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.
Key Responsibilities and Tasks
* 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).
Skills and Experience Required
* Experience in MLOps, DevOps, DevSecOps, 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 and detailed technical levels.
* Experience working on Linux‑based infrastructure.
* Excellent knowledge of Python and at least one modern programming language for automation and ML development (e.g. Java).
* Experience with PyTorch and familiarity with other ML frameworks or libraries as needed (e.g. Scikit‑learn, etc.).
* Understanding of supervised and unsupervised ML techniques and algorithms.
* Experience with model monitoring, logging, and performance evaluation tools (e.g. MLflow, Prometheus).
* Strong scripting skills in Bash, PowerShell, or similar for workflow automation.
* Experience with Linux Containers and orchestration platforms.
* Proficient in version control systems like Git.
* Ability to design secure, innovative solutions while adhering to strict security and assurance standards.
* Self‑motivated to contribute, enable, influence, and inspire colleagues in technical fields.
Security Clearance Statement
This role requires SC Clearance at minimum. If you don’t currently hold this level of clearance, you will need to undergo and successfully achieve SC Clearance. Please consult the UKSV NSV Agency for eligibility requirements and further guidance.
What We Can Offer
We’re committed to your technical development and success, providing market‑leading training, mentoring, and continuous learning opportunities. You’ll have direct access to a community of technical specialists and experts—nurturing your growth, whether you aspire to deepen as a technical expert or broaden your impact across teams and disciplines. You’ll benefit from comprehensive packages: bonuses, private healthcare, structured career development, training budgets, and the support of a collaborative, diverse, and inclusive working environment.
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