Senior AI Research Engineer: LLM & Generative AI

US Tech Solutions; Greater London; On-site; GBP 61,000 - 69,000; Full time

Job summary

US Tech Solutions in the United Kingdom seeks a Research Engineer to join a leading AI research team focused on advancing AI systems, machine learning models, and large language models. You’ll run experiments, develop scalable research solutions, and collaborate with research and engineering teams.

Key requirements include 5+ years in ML/AI, hands-on PyTorch experience, and work with large-scale models and datasets.

Qualifications

• 5+ years of experience in Machine Learning, AI, Recommendation Systems, Pattern Recognition, or Data Mining.
• Hands-on experience with PyTorch or similar ML frameworks.
• Experience working with large-scale ML models and datasets.
• Experience with LLMs, Generative AI, model evaluation, or post-training.
• Bachelor's degree in computer science, Computer Engineering, AI/ML, or related field, or equivalent experience.

Responsibilities

• Conduct research in AI and Machine Learning.
• Develop methods, tools, and infrastructure for LLMs.
• Build and evaluate machine learning models at scale.
• Run experiments using large AI models and datasets.
• Work on LLM querying, evaluation, and post-training.
• Collaborate with researchers and engineering teams.
• Convert research findings into practical product/business insights.
• Develop production-quality code alongside engineering teams.
• Contribute to research publications and AI product innovation.

Skills

Python

PyTorch

Generative AI

LLM Training & Post-Training

AI Research

Large Datasets

Recommendation Systems

Data Mining

Pattern Recognition

Education

Bachelor's degree in CS/CE/AI or related field

Tools

PyTorch

Job description

US Tech Solutions in the United Kingdom seeks a Research Engineer to join a leading AI research team focused on advancing AI systems, machine learning models, and large language models. You’ll run experiments, develop scalable research solutions, and collaborate with research and engineering teams.

Key requirements include 5+ years in ML/AI, hands-on PyTorch experience, and work with large-scale models and datasets.