Machine Learning Engineer Jobs in Glasgow, UK (170)
Senior Software Engineer
Senior Spacecraft Software Engineer
Software Engineer, Mobile & Connected Devices - Flutter
Java Full-Stack Developer
Data Scientist
Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits
CNC/EDM Engineer
Machine Setter
Software Engineer - Milton Keynes
Managing Consultant / Senior Manager - AI-Driven Process Analytics
Machine Learning Engineer
Data/Machine Learning Ops Engineer
Asset Management, Data Scientist, Vice President, London/Glasgow
Director of Software Engineering - Executive Director
ML Engineer: Fraud Detection & Scalable AI
Senior Software Engineer
Software Engineering Manager - Java
Senior Spacecraft Software Engineer
Principal Software Development Engineer
Senior Software Engineer in Glasgow - Spire
Lead Software Engineer - Java & KDB Real-Time Platform
HSE, Continuous Improvement & Facilities Manager
Senior ML Scientist — Generative Chemistry & Robotics
Engineering Delivery Manager
Engineering Manager - Java & Finance Tech Leadership
Semi-skilled Machine Operator (East Kilbride)
Digital Delivery Senior Automation Tester - Newport
AI Engineer Placement Programme No Experience Needed
Data Scientist / Statistician (Model Developer)
CNC Machinist
Powered Access Customer Support Engineer
Maintenance Engineer
Senior Technical Product Manager (AI Platforms)
Job Description
Working as a Machine Learning Engineer in Glasgow, UK
There are 170 Machine Learning Engineer opportunities available in Glasgow, UK all with unique requirements.
Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.
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