Machine Learning Engineer (LLMs & AI Agents)

New Yesterday

Overview

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.

Responsibilities

  • 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.

Qualifications

  • 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 your CV to (url removed) for immediate consideration.

People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

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Location:
City Of London
Job Type:
FullTime
Category:
Engineering

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