Data Scientist

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 Requirements: * Proven experience as a Data Scientist or ML Engineer delivering production-grade ML solutions * Strong Python skills and hands-on experience with ML libraries and tooling * Solid understanding of MLOps practices: deployment, monitoring, versioning, model governance and CI/CD * Practical experience building and operating ML workloads on AWS * Experience in at least one of the following domains: customer experience optimisation, personalisation, recommendations, ranking/search * Strong analytical skills with the ability to communicate insights and trade-offs clearly to technical and non-technical audiences * A proactive, engineering-minded approach: you enjoy building robust systems, not just offline models Interested? Apply today or reach out to MRJ Recruitment for a confidential conversation. We’ll share full details on the company, tech stack, working model and progression opportunities.