Research Engineer: Scalable AI & LLM Systems

Mackin Talent; United Kingdom; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Work laptop and phone

25 days annual leave (pro-rata) plus 8

Career progression opportunities

Job summary

Mackin Talent is partnering with our client to hire a Research Engineer (IC3) to advance fundamental AI research within FAIR. The role is a 12-month fixed-term contract with a hybrid work pattern (3 days onsite) in the United Kingdom.

The successful candidate will carry out cutting-edge ML research, design scalable methods for large language models, and collaborate across researchers and engineering teams to translate insights into impactful product development.

Qualifications

• 2+ years hands-on experience in ML, AI, or related fields.
• Experience scaling ML models and querying LLMs.
• Proficient in Python and PyTorch.
• Experience with large AI models and datasets.
• Ability translate insights into business recommendations.
• Bachelor's degree in a relevant technical field.

Responsibilities

• Carry out cutting-edge research to advance ML systems.
• Design methods, tools, and infrastructure for LLM state-of-the-art.
• Collaborate with researchers and cross-functional partners; communicate plans, progress, results.
• Suggest and synthesize requirements; create a feature roadmap.
• Code deliverables with the engineering team.
• Publish research results and contribute to product development.

Skills

ML experience

Pattern recognition

Data mining

Business insights

Research communication

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Python

PyTorch

Job description

Mackin Talent is partnering with our client to hire a Research Engineer (IC3) to advance fundamental AI research within FAIR. The role is a 12-month fixed-term contract with a hybrid work pattern (3 days onsite) in the United Kingdom.

The successful candidate will carry out cutting-edge ML research, design scalable methods for large language models, and collaborate across researchers and engineering teams to translate insights into impactful product development.