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Machine learning engineer

Worcester
Kureos
Machine learning engineer
Posted: 27 March
Offer description

Our client is building a high-calibre engineering team in the North East, focused on delivering complex, high-impact solutions across defence and national security. They are known for assembling exceptional talent, tackling demanding challenges, and consistently exceeding client expectations through innovation and technical excellence.


Operating from central Newcastle, they offer an intellectually rigorous environment where ambitious engineers can thrive, collaborate, and make a tangible difference on critical projects.


They are seeking developers who combine strong technical capability with clear communication—individuals who enjoy solving complex problems at pace and working closely with clients.


What they’re looking for:

* Experience in defence, national security, or a related domain
* Background in consulting or client-facing delivery
* Strong academic foundation (Computer Science or quantitative discipline) at a First or Upper Second Class level from a leading University
* UK security clearance (or willingness to obtain)
* Expertise in modern engineering practices (CI/CD, IaC, containers, testing)
* Confident communicator with a proactive, ownership-driven mindset
* Naturally curious, analytical, and committed to continuous learning
* Flexible to travel and work on client sites


Senior-level expectations:

* End-to-end project ownership
* Direct engagement with senior stakeholders and end users
* Leadership, mentoring, and technical direction
* Responsibility for bids, proposals, and technical quality assurance


Core responsibilities:

* Shape solutions with stakeholders and SMEs
* Deliver high-quality outputs with accountability
* Collaborate closely with client teams
* Challenge norms and drive innovation
* Stay ahead of emerging technologies


AI/ML focus:

* Strong grounding in machine learning and system design
* Experience with MLOps and modern AI tooling
* Knowledge of LLMs, including optimisation techniques
* Exposure to LLM applications, evaluation, and deployment in complex environments
* Interest in AI safety, explainability, or secure deployments is advantageous


Compensation:


Salaries will vary depending on experience however our client prides itself with being one of the very best payers in the region and all options are on the table. Plus a good benefits package and annual bonus.

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