At a Glance
- Tasks: Design and deploy machine learning models to enhance customer experiences.
- Company: Join a forward-thinking company at the forefront of AI and ML innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and continuous improvement.
- Why this job: Make a real impact by shaping personalised digital journeys with cutting-edge technology.
- Qualifications: Experience in data science or ML engineering, strong Python skills, and AWS knowledge.
The predicted salary is between 63000 - 77000 £ per year.
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‑mind‑ed approach: you enjoy building robust systems
Interested?
Data Scientist employer: MRJ Recruitment
Join a leading B2B and B2C organisation that values innovation and growth, offering a dynamic work culture where your contributions directly impact the brand's success. With competitive day rates and the flexibility of remote work, this role provides excellent opportunities for professional development and collaboration across various teams. Be part of a household name in eCommerce, where your project management skills will thrive in an environment committed to continuous improvement and operational excellence.
