AI Research Engineer
- liverpool, merseyside, L1 8JQ, United Kingdom
- Permanent·Remote
- Full time
- £72,000 - £72,000 Per Annum
Job Description
About the Role
Our client is actively seeking a creative and driven AI Research Engineer to join their remote-first team. This role is focused on pushing the boundaries of what's possible in AI & Emerging Technologies by exploring, developing, and prototyping novel AI algorithms and systems. You will contribute to high-impact research projects, translating theoretical concepts into practical, scalable solutions. This is an ideal position for a candidate passionate about innovation and seeking to make a significant contribution to the advancement of artificial intelligence from the comfort of their home office.
Key Responsibilities
- Conduct research and development into new AI techniques, algorithms, and applications.
- Build and test prototypes to demonstrate the feasibility of novel AI concepts.
- Collaborate with a team of researchers and engineers to advance AI capabilities.
- Analyze and interpret experimental results, documenting findings and potential impact.
- Contribute to technical documentation, research papers, and presentations.
- Stay informed about the latest advancements in AI research and relevant technological fields.
Requirements
- Master's degree or Ph.D. in Computer Science, AI, Machine Learning, or a related discipline.
- Demonstrated experience in AI research, with a strong theoretical foundation and practical implementation skills.
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Keras).
- Experience with data analysis, algorithm design, and model evaluation.
- Strong problem-solving abilities and a passion for innovation.
- Excellent communication skills, essential for effective collaboration in a remote setting.
Benefits
- Competitive salary and comprehensive benefits package.
- Fully remote working environment, offering maximum flexibility.
- Opportunities to work on groundbreaking AI research projects.
- Generous professional development budget for learning and conferences.
- Supportive and collaborative team culture, even when distributed.
- Access to powerful computational resources for research.


