AI/ML Engineer - Stoke-on-Trent
- stoke on trent, staffordshire, ST1 1AA, United Kingdom
- Permanent·Remote
- Full time
- £65,000 - £65,000 Per Annum
Job Description
About the Role
Our client is seeking a talented and motivated AI/ML Engineer to join their innovative team in Stoke-on-Trent , focusing on advancements in AI and Emerging Technologies . You will be responsible for developing, implementing, and deploying machine learning models and AI-driven solutions that enhance our client's products and operational efficiency. This role offers an exciting opportunity to work with diverse datasets and cutting-edge technologies in a supportive environment that values continuous learning and practical application of AI. The role embraces a flexible, predominantly remote work structure.
Key Responsibilities
- Develop and train machine learning models using various algorithms and frameworks.
- Implement and deploy AI/ML solutions into production environments.
- Process, clean, and transform large datasets for model training and analysis.
- Collaborate with cross-functional teams to integrate AI capabilities into existing systems and new products.
- Monitor model performance, troubleshoot issues, and implement improvements.
- Research and evaluate new AI/ML techniques and tools to enhance our client's capabilities.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
- 2+ years of hands-on experience in AI/ML model development and deployment.
- Proficiency in programming languages like Python , and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.
- Experience with cloud platforms (AWS, Azure, GCP) is advantageous.
- Strong problem-solving skills and the ability to work independently in a remote capacity.
Benefits
- Competitive salary and potential for performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible working hours.
- Opportunities for professional development and training.
- Engaging work on impactful AI projects within a growing tech sector.


