AI Research Engineer (Remote - UK)

Jobgether; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Flexible remote work arrangements

Professional growth opportunities

Job summary

A leading tech company is seeking an AI Research Engineer to drive innovative AI research initiatives. This role involves leading independent projects, designing evaluation methodologies, and collaborating with cross-functional teams to enhance AI systems. Candidates should have over 5 years of engineering experience focused on AI/ML, alongside strong communication skills and a passion for ethical AI. The position offers a competitive salary, benefits, and flexible remote work arrangements within the UK.

Qualifications

• 5+ years of engineering experience with a strong AI/ML focus.
• Demonstrated research experience via publications or impactful projects.
• Solid engineering fundamentals and production AI systems experience.

Responsibilities

• Lead independent AI research projects.
• Design and implement robust evaluation frameworks.
• Conduct rigorous experiments and develop scalable tools.

Skills

AI/ML engineering

Research experience

LLM evaluation methodologies

Communication skills

AI safety and alignment

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Research Engineer in the United Kingdom. This role offers the opportunity to drive cutting‑edge AI research while translating insights into impactful applications. You will lead independent projects in evaluation methodologies, alignment techniques, and synthetic data generation, designing frameworks that enhance how AI systems are understood, evaluated, and optimized. Collaborating with engineers, data scientists, and product teams, you will turn research discoveries into practical solutions that advance AI reliability and alignment. You will also contribute to the academic community through publications and open‑source work, shaping the field while working in a dynamic, mission‑driven environment that prioritizes innovation, ethical AI, and human‑centered data.

Accountabilities

• Lead independent AI research projects focused on evaluation methodologies, alignment techniques, and synthetic data generation.
• Design and implement robust evaluation frameworks for large language models (LLMs) and agent systems grounded in human data.
• Conduct rigorous experiments and develop scalable tools to translate research insights into practical applications.
• Build infrastructure to support large‑scale research experiments and advanced AI model studies.
• Collaborate with cross‑functional teams including ML engineers, data scientists, and product managers to integrate research outcomes.
• Mentor team members on advanced AI concepts and emerging research directions.
• Communicate complex technical concepts clearly to diverse stakeholders and contribute to academic publications and open‑source projects.

Requirements

• 5+ years of engineering experience with a strong AI/ML focus.
• Demonstrated research experience via publications, open‑source contributions, or impactful projects.
• Solid engineering fundamentals and experience implementing AI systems in production.
• Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches.
• Hands‑on experience with model fine‑tuning, adapters, quantization, and distillation frameworks.
• Self‑motivated with the ability to define and pursue research directions independently.
• Strong understanding of AI safety, reliability, and alignment challenges.
• Excellent communication skills, with the ability to explain complex research concepts clearly.
• Passion for staying current with the rapidly evolving AI research landscape.

Benefits

• Competitive salary and comprehensive benefits package.
• Flexible remote work arrangements within the UK.
• Opportunities to work on pioneering AI research with access to unique human data platforms.
• Supportive, mission‑driven culture emphasizing innovation and ethical AI development.
• Professional growth opportunities through collaboration, mentorship, and research contributions.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Non‑profit Organizations and Primary and Secondary Education