AI Research Engineer
- stoke on trent, staffordshire, ST1, United Kingdom
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is seeking an innovative and technically adept AI Research Engineer to join their pioneering research team in Stoke-on-Trent . This role is focused on the practical application of artificial intelligence research, developing and implementing novel algorithms and models to solve real-world problems. You will work at the intersection of research and development, contributing to the creation of next-generation AI technologies. This is an exceptional opportunity for a driven individual to contribute to impactful projects and advance the state-of-the-art in AI within a collaborative and intellectually stimulating environment.
Key Responsibilities
- Design, implement, and test new AI algorithms and machine learning models.
- Collaborate with research scientists to prototype and validate innovative AI concepts.
- Develop efficient and scalable code for AI research experiments and applications.
- Analyze and interpret experimental results, documenting findings thoroughly.
- Contribute to the development and maintenance of the AI research infrastructure.
- Stay current with the latest advancements in AI and machine learning research.
Requirements
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 3+ years of experience in AI research or development.
- Strong programming skills in Python and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with data processing, feature engineering, and model evaluation.
- Excellent problem-solving abilities and a passion for innovation.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunity to work on groundbreaking AI research and development projects.
- Access to advanced computational resources and cutting-edge tools.
- Supportive team environment focused on learning and collaboration.
- Professional development and conference attendance support.


