Role: Data Scientist (ML / AI Engineering)

Location: Manchester (2 days per week)

Role intro.....

We’re hiring a Data Scientist to help shape intelligent, customer-first experiences through machine learning and AI engineering. This is an opportunity to work at the intersection of customer experience, personalisation, recommendations and emerging Agentic AI, building models and systems that directly influence how users discover products, receive tailored content and interact with digital journeys.

You’ll join a team focused on deploying ML into production, improving experimentation and performance, and driving measurable impact. If you enjoy taking models from concept to scalable, reliable services in the cloud, this role offers the challenge and ownership to do exactly that.

Key Responsibilities:

• Design, build and deploy machine learning models supporting personalisation and recommendation use cases
• Partner with product, engineering and stakeholder teams to define success metrics and translate business needs into ML solutions
• Develop end-to-end ML pipelines, from data preparation and feature engineering through to training, evaluation and deployment
• Implement and improve MLOps practices to ensure reproducibility, monitoring, CI/CD and model lifecycle management
• Build and maintain scalable ML services on AWS, optimising for performance, reliability and cost
• Explore and prototype approaches within Agentic AI, using modern techniques to drive automation and richer customer experiences
• Continuously evaluate model performance, mitigate bias, and enhance recommendation relevance and customer outcomes