Research Engineer # 26-00188

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

Pay Rate: 44 - 50GBP /hour Inside IR 35 (PAYE)

About the Role

We are looking for a Research Engineer to join a leading AI Research team focused on advancing AI, machine learning systems, and large language models. You’ll work on challenging AI problems, develop scalable research solutions, run experiments with large models and datasets, and collaborate with research and engineering teams.

Key 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.

Requirements

• 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.

Preferred Qualifications

• Experience in Generative AI / LLM research.
• Experience with LLM training, fine-tuning, evaluation, or post-training.
• Research-focused Master's or PhD in AI/ML, Computer Science, or related field.

Key Technical Skills

• Python
• PyTorch
• Generative AI
• LLM Training & Post-Training
• AI Research
• Large Datasets
• Recommendation Systems
• Data Mining
• Pattern Recognition

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.