Senior AI & ML Engineer (Pharma experience mandatory)
Role- ML and AI Engineer
Type- Contract (Outside IR35)
Nature- Hybrid (Hybrid)
Location- Macclessfied, UK
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.
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.
Job description & role requirements:
Essential:
- At least 5 years' experience demonstrating technical skills in one or more of the 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 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. Experience with automation strategies (CI/CD etc) and containerisation (Kubernetes, Docker) is key.
- 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 lifecycle (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 e.g. 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
GCS is acting as an Employment Business in relation to this vacancy.
Senior AI & ML Engineer (Pharma experience mandatory)
Macclesfield
Contract
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