Research Engineer — Multimodal LLMs & Agentic AI

hcompany; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Career development

Global team exposure

Job summary

H is hiring top AI researchers and engineers to push the boundaries of agentic AI. The role focuses on training large language and vision-language models, developing data pipelines, and delivering robust, scalable systems for complex environments.

You will collaborate with cross-functional teams, publish, and contribute to state-of-the-art research while driving practical product impact. The position is hybrid and based in London or Paris with regular in-office collaboration.

Qualifications

• Strong programming and software engineering fundamentals.
• Experience training and improving large language models at scale.
• Experience with offline/online RL and reward modelling.

Responsibilities

• Develop and train advanced LLMs and VLMs, including multimodal architectures.
• Research and implement training methods for enhanced capabilities like instruction following and tool use.
• Design and optimize data pipelines and training systems for large-scale distributed training.
• Collaborate with cross-functional teams to integrate models into agentic AI systems.
• Evaluate model performance and communicate findings to stakeholders.
• Stay current with advancements in LLMs, VLMs, and related fields.

Skills

Python

Rust

Deep learning

Pytorch

JAX

TensorFlow

Distributed training

Data pipelines

Education

PhD or MSc in ML/DL/NLP

Tools

PyTorch

JAX

TensorFlow

Job description

H is hiring top AI researchers and engineers to push the boundaries of agentic AI. The role focuses on training large language and vision-language models, developing data pipelines, and delivering robust, scalable systems for complex environments.

You will collaborate with cross-functional teams, publish, and contribute to state-of-the-art research while driving practical product impact. The position is hybrid and based in London or Paris with regular in-office collaboration.