AI Engineer: Production ML Pipelines & LLM Tools

Quotient Sciences Limited; Nottingham; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading drug development accelerator in the UK is seeking an AI Engineer to own the full AI lifecycle including model development and monitoring. The role involves collaborating with product managers and data engineers to translate requirements into AI solutions, and ensuring responsible AI practices and compliance. Ideal candidates will have strong proficiency in Python and ML frameworks, with experience in deploying production-grade models. The company promotes a diverse and inclusive workplace culture, striving for impactful change.

Qualifications

• Demonstrable experience in AI engineering, machine learning, or data science roles.
• Proven track record of building, deploying, and maintaining production-grade AI models.
• Strong proficiency in Python, R, and ML frameworks.

Responsibilities

• Design and deploy AI models to solve business problems.
• Build and maintain scalable ML pipelines for classical ML and deep learning.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Skills

AI engineering

Machine learning

Data science

Python

R

ML frameworks (TensorFlow, PyTorch, Scikit-learn)

AWS SageMaker

CI/CD

Responsible AI practices

Agile principles

Tools

MLOps toolsets

Jira

Job description

A leading drug development accelerator in the UK is seeking an AI Engineer to own the full AI lifecycle including model development and monitoring. The role involves collaborating with product managers and data engineers to translate requirements into AI solutions, and ensuring responsible AI practices and compliance. Ideal candidates will have strong proficiency in Python and ML frameworks, with experience in deploying production-grade models. The company promotes a diverse and inclusive workplace culture, striving for impactful change.