Role: Senior AI & Machine Learning Engineer

Role Type: Temporary – 6 Months

Location: Macclesfield – x3 Days On-Site, x2 Remote

Your New Company

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.

Your New Role

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.

Essential Skills

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

WHY ASTRAZENECA?

It's an exciting time to join AstraZeneca, a global business that's rapidly growing - there's a lot happening and even more to come. And we are a valued part of this journey. Respected partners across the business, we provide the platform that's going to power us to achieve more.

So, what's next?

Are you ready to bring new insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it's yours. Please apply with a copy of your CV.

AstraZeneca

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AI & Machine Learning Engineer