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Machine learning engineer - outside £550p/d - edv cleared

Newcastle Upon Tyne (Tyne and Wear)
JR United Kingdom
Machine learning engineer
€125,000 - €150,000 a year
Posted: 10 June
Offer description

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Machine Learning Engineer - Outside £550p/d - eDV Cleared, Newcastle-upon-Tyne, Tyne and Wear

Client: iO Associates - UK/EU

Location: Newcastle-upon-Tyne, Tyne and Wear, United Kingdom

Job Category: Other

EU work permit required: Yes


Job Views:

2


Posted:

06.06.2025


Expiry Date:

21.07.2025


Job Description:

Role: Machine Learning Engineer

Duration: Initial 6-12 months

Clearance Required: eDV

A leading client within the UK defence sector is seeking experienced Machine Learning Engineers to join their AI and data science division. Contribute to UK's national defence by developing advanced AI solutions.

The successful candidate will join a multidisciplinary team working on machine learning models for defence applications, including autonomous systems, surveillance, predictive analytics, and decision-support platforms.

Key Responsibilities:

* Design and implement ML models for real-time or mission-critical defence environments
* Analyze complex datasets such as geospatial, signals, or operational intelligence data
* Collaborate with software engineers, data scientists, and defence stakeholders for system integration
* Test, validate, and document ML models according to standards
* Stay updated with emerging AI/ML techniques and assess their applicability

Qualifications:

* Strong background in machine learning, data science, or AI, with a related degree
* Proficiency in Python and libraries like TensorFlow and PyTorch
* Experience building and deploying ML pipelines
* Understanding of algorithm performance in sensitive environments
* Experience in defence, aerospace, or security sectors preferred
* Knowledge of computer vision, signal processing, or NLP
* Experience with MLOps, edge computing, or synthetic data generation
* Knowledge of government or MOD procurement frameworks is a plus

If interested, please contact James Chapman at 07903 438136 or email [emailprotected]. Even without a CV, I would like to speak with you!

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