

James Adams
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with 3+ years of experience, offering a £65,000 salary on a 12-month remote contract. Key skills include Python, PyTorch or TensorFlow, model deployment, and expertise in computer vision or NLP.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
295
-
🗓️ - Date
February 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Programming #AI (Artificial Intelligence) #ML (Machine Learning) #Deployment #Model Deployment #Datasets #NLP (Natural Language Processing) #Scala #"ETL (Extract #Transform #Load)" #SaaS (Software as a Service) #TensorFlow #Transformers #PyTorch #Python #Deep Learning #Data Science #Data Pipeline
Role 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.
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
• 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.
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.
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
• 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.






