Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer focused on LLMs and AI agents, offering a contract length of "unknown" at a pay rate of "unknown". Candidates need 2+ years in ML/AI, strong Python skills, and a Master’s in a related field.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
-
🗓️ - Date discovered
September 20, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Computer Science #ML (Machine Learning) #PyTorch #TensorFlow #Monitoring #Python #Data Mining #A/B Testing
Role description
🚀 We’re hiring: Machine Learning Engineer (LLMs & AI Agents)
We’re looking for a hands-on Machine Learning Engineer to help design, deploy, and optimise the next generation of AI agents powered by large language models (LLMs).
This is your chance to work at the cutting edge of generative AI — turning research into production-ready systems that make a real business impact.
What you’ll be doing
• Designing and deploying LLM-powered agents end-to-end — from research to production.
• Developing tools, frameworks, and annotation workflows to refine agent behaviour.
• Defining what “production-quality code” means for LLMs and teaching agents to meet that bar.
• Running A/B tests, evaluation pipelines, and latency optimisation to ensure reliability at scale.
• Collaborating with researchers to identify failure modes and create robust solutions.
What we’re looking for
• 2+ years’ hands-on experience in ML/AI (recommendation systems, data mining, or similar).
• Proven track record of building or deploying GenAI/LLM systems into production.
• Strong Python skills, with experience in PyTorch or TensorFlow.
• Understanding of MLOps practices (evaluation, monitoring, scaling).
• Master’s (or equivalent experience) in Computer Science, AI, ML, or related field.
⭐ Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published research.
📩 Ready to help shape the future of LLM agents? Apply now and join us at the frontline of AI innovation.
Send CV to kacey.norris@experis.co.uk for immediate consideration.
🚀 We’re hiring: Machine Learning Engineer (LLMs & AI Agents)
We’re looking for a hands-on Machine Learning Engineer to help design, deploy, and optimise the next generation of AI agents powered by large language models (LLMs).
This is your chance to work at the cutting edge of generative AI — turning research into production-ready systems that make a real business impact.
What you’ll be doing
• Designing and deploying LLM-powered agents end-to-end — from research to production.
• Developing tools, frameworks, and annotation workflows to refine agent behaviour.
• Defining what “production-quality code” means for LLMs and teaching agents to meet that bar.
• Running A/B tests, evaluation pipelines, and latency optimisation to ensure reliability at scale.
• Collaborating with researchers to identify failure modes and create robust solutions.
What we’re looking for
• 2+ years’ hands-on experience in ML/AI (recommendation systems, data mining, or similar).
• Proven track record of building or deploying GenAI/LLM systems into production.
• Strong Python skills, with experience in PyTorch or TensorFlow.
• Understanding of MLOps practices (evaluation, monitoring, scaling).
• Master’s (or equivalent experience) in Computer Science, AI, ML, or related field.
⭐ Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published research.
📩 Ready to help shape the future of LLM agents? Apply now and join us at the frontline of AI innovation.
Send CV to kacey.norris@experis.co.uk for immediate consideration.
