3 of 3 Permanent Deep Learning Jobs in Manchester

Senior AI Engineer

Hiring Organisation
55 Exec Search
Location
Manchester, England, United Kingdom
ownership of creating and working on cutting-edge models and pipelines. The Role As an AI Engineer , you will design, build, and refine machine learning models that sit at the heart of the company’s behavioural AI platform. This is a hands-on role involving working with real sensor … other AI engineers, as well as engineering and product teams, to ensure models are robust, efficient, and production ready. Key Responsibilities Develop and train deep learning models for behavioural authentication, working with multimodal sensor data including accelerometer, gyroscope, touch patterns, and device interaction signals Build data processing pipelines ...

Graduate AI Analyst / Engineer

Hiring Organisation
Kingsgate Recruitment Ltd
Location
Manchester, Lancashire, England, United Kingdom
Employment Type
Full-Time
Salary
£24,000 - £28,000 per annum
Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst … Data Science team. This is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science ...

Computer Vision Engineer

Hiring Organisation
NearTech Search
Location
Manchester Area, United Kingdom
performance at scale. This is a rare chance to shape the tech direction before the team fully scales - ideal for someone who thrives in deep-tech environments where theory meets hardware. The engineer will join a specialist function focused on refining model performance, optimising inference, and enabling low-latency … deployment across diverse compute platforms. Role Highlights You'll work on: – Optimising deep learning models through quantisation, pruning, and fine-tuning – Evaluating architectures for speed/accuracy trade-offs across devices – Exporting models for runtime use (e.g. ONNX, TorchScript) – Supporting research-to-deployment workflows that accelerate iteration – Helping ...