Job Title: Research Engineer, AI Systems / LLM AgentsLocation: London Kings Cross, hybrid, 3 days onsite per weekRate: £45 per hour PAYEContract: 6 months, extension possibleHours: Monday-Friday, 9:00am-6:00pm, 40 hours per weekStart Date: ASAP
Job Description
We are looking for a Research Engineer to join a leading AI research team in London, working on AI systems, machine learning agents, and large language model research infrastructure.This is a hands‑on engineering and research role suited to someone with strong Python skills, a scientific mindset, and the ability to move quickly in a fast‑paced research environment. You will work closely with research engineers, scientists, and cross‑functional partners to build tools, run experiments, and support cutting‑edge machine learning research.
Key Responsibilities
- Build and evaluate LLM agents and machine learning research workflows.
- Design tools, infrastructure, and methods to support large‑scale AI research.
- Write high‑quality Python code and work with frameworks such as PyTorch.
- Run complex experiments using large AI models and datasets.
- Collaborate with research engineers, scientists, and wider technical teams.
- Translate research requirements into practical prototypes, roadmaps, and deliverables.
- Communicate research plans, progress, and results clearly.
Required Skills And Experience
- Strong hands‑on Python experience.
- Experience with PyTorch or similar machine learning frameworks.
- Background in machine learning, artificial intelligence, data mining, recommendation systems, pattern recognition, or a related field.
- Exposure to LLMs, LLM agents, generative AI, pre‑training, post‑training, or programmatic LLM querying.
- Strong scientific mindset: organised, diligent, curious, and evidence‑led.
- Ability to work quickly, execute independently, and deliver high‑quality code.
- Comfortable working in a high‑pressure, ambiguous research environment.
- Degree in Computer Science, Computer Engineering, Machine Learning, Mathematics, Physics, or equivalent practical experience.
Preferred Experience
- PhD or research‑focused Master’s degree in machine learning or a related technical field.
- Experience as a Research Engineer, Applied Scientist, Machine Learning Engineer, or similar.
- Experience in a startup, internship, academic research, or major technology company environment.
- Direct exposure to agentic AI systems, generative AI research, or advanced ML experimentation.
Ideal Candidate
The ideal candidate will be hard‑working, technically strong, and passionate about AI research. This is not purely an academic publishing role; it requires someone who can execute, write code, and contribute practically to fast‑moving research projects.
Interview Process
Initial screen followed by two loop interviews.
#J-18808-Ljbffr…