Summary: The role of the AI Engineer involves designing and enhancing AI-driven document generation systems utilizing large language models and traditional machine learning algorithms. The candidate will leverage their expertise in AI, machine learning, and natural language processing, with a strong emphasis on Python programming. This position requires collaboration with cross-functional teams to translate requirements into technical solutions while optimizing AI models for improved performance. The role is hybrid and based in Macclesfield, UK.

Key Responsibilities:

• Architect and implement generative AI models tailored to produce structured outputs such as text or images.
• Research and apply advanced machine learning algorithms to improve model efficiency and accuracy.
• Create user-friendly applications using Streamlit.
• Handle large datasets, perform data cleaning, and apply feature engineering to prepare data for model training.
• Deploy AI models and applications on cloud platforms using containerization and orchestration tools.
• Work collaboratively with cross-functional teams to understand requirements and translate them into technical solutions.
• Optimize and fine-tune GPT models to improve output quality and efficiency.
• Conduct research and stay up to date with the latest advancements in AI, machine learning, and NLP to integrate new methodologies into existing processes.
• Debug and resolve issues in AI models and the associated infrastructure.
• Document technical specifications and processes to support ongoing development and enhancements.
• Support the deployment and integration of AI solutions into existing systems.

Key Skills:

• At least 5 years' experience in 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 applications.
• 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.
• Strong software development skills, including Python and Scala, with experience in automation strategies (CI/CD) and containerization (Kubernetes, Docker).
• 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 with multi-cloud platforms (AWS, Azure, GCP), with Azure as primary experience.
• Demonstrated experience with data analytical approaches and tools for understanding data in support of scientific questions.
• Proficient working in high-performance computing or cloud environments.
• Experience in translating requirements into fit-for-purpose models, processing designs, data mappings, and data profile reports.
• Experience in relevant domains such as 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.

Salary (Rate): 500

City: Macclesfield

Country: UK

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT