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 productionising 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.
The Role:
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
Essential Experience:
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 TensorFlow, 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
Desirable Experience:
Experience with generative AI and large language models, including LangChain, 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 DevOps, GitHub Actions, Docker). Commercial exposure to e‐commerce, travel or holiday‐lettings environments. Experience mentoring others or leading technical workstreams.
Package & Details:
Salary up to £80,000 per annum Hybrid (2 days onsite) Strong benefits package including bonus, enhanced leave, wellbeing support and flexible working.
If you're a Senior AI/ML Engineer looking to work on meaningful, production‐grade AI solutions in a collaborative environment, please apply or get in touch for more details.