Overview:
The AI Engineer will be responsible for designing, developing, and enhancing AI-driven document generation systems using large language models & traditional Machine learning algorithms. The ideal candidate will have a strong background in AI, machine learning, and natural language processing, coupled with hands-on experience in Python programming.

Additional:

• At least 5 years' experience demonstrating technical skills in one or more following areas: Generative AI, machine learning, recommendation systems, pattern recognition, natural language vision or computer vision
• Proficiency in using Streamlit to create interactive and visually appealing web application
• Strong software development skills, including python and Scala. Experience with automation strategies (CI/CD etc) and containerisation (Kubernetes, Docker) is key.
• Understanding of knowledge graph concepts, including nodes, edges, and semantic relationships.
• Experience with tools and frameworks like Neo4j, RDF, or OWL for building, querying, and managing knowledge graphs.
• Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, etc.).
• Solid understanding of natural language processing (NLP) techniques and applications.
• Prior experience in Azure AI stack
• Knowledge of large language models like GPT, Claude, Gemini.
• Experience with version control systems like Git.
• Understanding of software development life cycle (SDLC) and agile methodologies.
• Knowledge of agents and multi-agent systems, including agent-based modelling and simulation.
• Familiarity with decision-making algorithms and systems that exhibit goal-directed behaviour.
• Strong foundation in linear algebra, calculus, probability, and statistics.
• Ability to apply mathematical concepts to optimize models and interpret results
• Experience of multi-cloud cloud platform (AWS, Azure, GCP) is an advantage. Azure as primary experience
• Demonstrated experience with data analytical approaches, and tools for understanding of data in support of scientific questions
• Proficient working in high performance computing or cloud environment
• Experience in translating requirements into fit for purpose models, processing designs, data mappings and data profile reports
• Experience in working relevant domains eg Pharma, R&D, Manufacturing, Commercial, Finance, HR, Legal, Facilities etc.
• Excellent problem-solving skills and attention to detail.
• Excellent written and verbal communication, business analysis, and consultancy skills

Start date: AprilDuration: 6 months + extensions
Location: Macclesfield, UK (2 days remote, 3 days on-site)
Language: English speaking
Rate: To be agreed