Principal AI Engineer

Senior AI/ML Engineer – Chester (2 days onsite a week)

I’m working with a well‑established, values‑led organisation operating at scale across the travel and leisure sector. They are investing heavily in AI and data, and are now looking to hire a Senior AI/ML Engineer to play a key role in building and product ionising machine learning solutions that deliver real commercial impact.

This is a hands‑on senior engineering role with strong ownership across end‑to‑end AI/ML delivery, working closely with data science, product and engineering teams.

• Design, build and maintain scalable, end‑to‑end AI/ML pipelines using Microsoft Fabric
• Develop, train, deploy and monitor machine learning and deep learning models
• Implement MLOps best practices including versioned data and features, CI/CD pipelines, model promotion and rollback
• Collaborate with data scientists, analytics engineers, product managers and software engineers to translate business problems into AI solutions
• Ensure strong standards around data quality, governance, security and responsible AI
• Evaluate and adopt new tools and technologies to enhance the AI/ML platform
• Mentor junior engineers and contribute to a culture of continuous improvement

• Strong experience designing, building and maintaining scalable data pipelines and AI/ML architectures
• Hands‑on experience with Microsoft Fabric (Data Engineering, Data Science and Real‑Time Analytics) and Azure ML, including MLflow
• Strong proficiency with Apache Spark, Azure Data Factory, Git, Python and SQL
• Experience developing, training and deploying machine learning models using Tensor Flow, PyTorch or Scikit‑learn
• Solid understanding of data modelling, data governance, security and responsible AI principles
• Excellent problem‑solving skills with the ability to communicate technical concepts to non‑technical stakeholders
• Ability to manage priorities and deliver results in a fast‑paced environment
• Experience with generative AI and large language models, including Lang Chain, vector databases and retrieval‑augmented generation
• Knowledge of AutoML, hyperparameter optimisation and advanced MLflow features
• Experience working with streaming or real‑time data platforms
• Familiarity with CI/CD, MLOps and deployment pipelines (Azure Dev Ops, Git Hub Actions, Docker)
• Commercial exposure to e‑commerce, travel or holiday‑lettings environments
• Experience mentoring others or leading technical work streams

Salary up to £80,000 per annum. Hybrid (2 days onsite). Strong benefits package including bonus, enhanced leave, wellbeing support and flexible working.

• Full‑time

• Not applicable

• Engineering and Information Technology

• Travel Arrangements

• Chester, England, United Kingdom

This range is provided by SR2 | Socially Responsible Recruitment | Certified B Corporation™. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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