£114,000 Per year
Undetermined
Hybrid
London
Summary: The role of Research Engineer - Machine Learning & LLM Agents involves collaborating with a leading AI research organization to develop next-generation AI technologies. Candidates will work on projects related to autonomous AI agents, large language models, and machine learning infrastructure. The position is available at multiple levels, catering to both early-career and experienced professionals. This opportunity offers a chance to contribute to significant advancements in artificial intelligence while working in a hybrid environment in London.
Key Responsibilities:
- Design, build, and evaluate machine learning systems.
- Develop autonomous AI agents and large language model systems.
- Engage in machine learning infrastructure and AI experimentation at scale.
- Utilize Python and PyTorch for development tasks.
- Contribute to research tooling and automation.
- Conduct large-scale experimentation with modern AI models.
Key Skills:
- Proficiency in Python and PyTorch.
- Experience in machine learning and deep learning.
- Knowledge of large language models (LLMs) and generative AI.
- Background in AI agents and applied AI.
- Research engineering experience.
- Strong software engineering skills.
Salary (Rate): £114000 yearly
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Research Engineer - Machine Learning & LLM Agents (Multiple Levels)
Contract: 6 Months (Extension Potential)
Salary: £71,000 - £114,000 depending on experience
Location: London (Hybrid - 3 days per week onsite, King's Cross)
We are partnering with one of the world's leading technology companies to hire 3 Research Engineers to join a globally recognised AI Research organisation working on next-generation Large Language Models and AI agents.
This is a rare opportunity to work alongside some of the world's leading AI researchers, helping build technologies that will shape the future of artificial intelligence.
We're hiring across multiple levels, making this an excellent opportunity for candidates ranging from early-career Research Engineers through to experienced Senior Research Engineers.
What you'll be working on
You'll join a highly collaborative research environment focused on building intelligent AI agents capable of solving complex problems at scale. Working closely with researchers and scientists, you'll help design, build and evaluate cutting-edge machine learning systems that directly influence future AI products.
Projects include:
Building autonomous AI agents
Large Language Model (LLM) systems
LLM post-training
Machine Learning infrastructure
AI experimentation at scale
Python and PyTorch development
Research tooling and automation
Large-scale experimentation with modern AI models
We're interested in people with experience in:
Python
PyTorch
Machine Learning
Large Language Models (LLMs)
Generative AI
AI Agents
Machine Learning Research
Deep Learning
Applied AI
Research Engineering
Ideal background
You may currently be working as a:
Research Engineer
Machine Learning Engineer
Applied Scientist
AI Engineer
Research Scientist with strong software engineering skills
We're particularly interested in candidates who enjoy solving difficult technical problems, can execute quickly, thrive in fast-moving environments and are passionate about advancing AI research.
Why apply?
Work on cutting-edge AI research
Collaborate with internationally recognised researchers
Join one of the world's most respected AI research organisations
Opportunity to contribute to technology that could redefine the future of AI
Hybrid working in Central London
Excellent contract rates with strong extension potential
If you have experience building machine learning systems, working with LLMs or developing AI agents, I'd love to hear from you. Wealso welcome applications from PhD students, MSc students, recent graduates and early-career researchers who have gained hands-on experience through academic research, internships, university projects or startups. Please apply directly on the link to be considered.