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AI/Machine Learning Consultant @ Experis

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About this role

Salary: £75,000 - 75,000 per year

Requirements: Active Developed Vetting (DV) Clearance.Experience applying Data Science, Machine Learning or AI within Defence, Security, Government or research environments.Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks.Python and common Data Science libraries.Experience with TensorFlow, PyTorch or similar machine learning frameworks.Experience with AWS, Azure or Google Cloud AI and Data Science services.Ability to work effectively with technical and non-technical audiences. Responsibilities: Apply Data Science, Machine Learning and AI techniques to solve complex business and operational challenges.Design, develop and deploy innovative AI and analytics solutions.Work directly with Defence and Security clients to translate requirements into practical outcomes.Build prototypes, proof-of-concepts and production-ready solutions.Support the delivery of large-scale transformation and technology programmes.Contribute to new business opportunities, proposals and client engagements.Mentor colleagues and support the growth of our AI and Data Science capabilities.Stay at the forefront of emerging AI, Machine Learning and Data Science technologies. Technologies: AIAWSAzureCloudSupportMachine LearningPyTorchPythonSecurityTensorFlow More:

We are one of the UKs leading Defence & Security practices, working on high-impact programmes that support national security and help government organisations unlock value from data, AI and machine learning. This is a hybrid role based in Bristol, London, Manchester or Cambridge, with a salary of £45,000 to £70,000 depending on experience. You will work alongside clients on complex challenges throughout the full project lifecycle, from understanding user needs and developing prototypes through to deploying scalable, enterprise-grade solutions. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

last updated 32 week of 2026

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