Design and optimize ML models for image search and content analysis systems. Work cross-functionally with Data Scientists and Engineers to deliver production-ready AI solutions. 3+ years' commercial ML Engineering experience required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Machine Learning Engineer (Junior or Mid Level / 3 years)
AI & Data Science | Fully Remote (UK Based)
£65,000 | 12-Month Fixed Term Contract
A global technology SaaS is looking to appoint an experienced Machine Learning Engineer to join its AI & Data Science function.
Trusted by some of the largest companies in the world, this business builds AI-powered solutions that help brands online.
The Role
The successful candidate will design and optimise ML models powering cutting-edge image search and content analysis systems. Working cross-functionally with Data Scientists and Engineers, you will deliver production-ready AI solutions that directly protect some of the world’s most recognisable brands.
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Key Responsibilities
• Develop and optimise ML models across computer vision and NLP
• Train and fine-tune deep learning architectures (CNNs, Transformers, etc.)
• Deploy and serve models in production environments
• Build scalable data pipelines for large image and text datasets
• Research and apply state-of-the-art AI techniques
• Monitor, maintain, and optimise live models
Essential Experience
• 3+ years’ commercial ML Engineering experience
• Strong Python programming skills (production level)
• Hands-on with PyTorch (preferred) or TensorFlow
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
• Model deployment and serving experience
• Background in computer vision and/or NLP
• Experience working with large datasets and ML pipelines
• Full professional English
Package
• £65,000
• Fully remote working
• 12-month contract
If you'd like to apply to this role please apply via the Advert below or share your CV with me. Thank you.
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