Machine Learning Engineer (LLMs & AI Agents)
New Yesterday
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 your CV to
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.
TPBN1_UKTJ
- Location:
- United Kingdom
- Job Type:
- FullTime
- Category:
- IT;Engineering;Education