Senior Data Science, AI​/ML Engineer; Google Cloud - Retail; Lead - ML Engineering

Duration 6 Month Fixed term contract

Senior Data Science, AI/ML Engineer (Google Cloud - Retail)

Leicester

6 Month Fixed term contract

UST are currently recruiting for a Senior Data Science / Machine Learning Engineer in Google Cloud Platform (GCP) and strong retail domain experience to lead the design and deployment of scalable, production‑grade ML solutions that drive measurable business outcomes.

This role is ideal for a hands‑on technical leader who thrives as an independent contributor while also mentoring peers, collaborating cross‑functionally, and confidently engaging with senior stakeholders. You will own end‑to‑end ML initiatives from problem framing and modelling to productisation and impact measurement.

• Architect, design, and deployment‑to‑end ML systems on Google Cloud at scale
• Lead development of data pipelines, feature engineering frameworks, and MLOps workflows
• Strong experience of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python
• Experience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc.)
• Experience in Deep Learning Techniques.
• Translate ambiguous business problems into data science solutions and measurable KPIs
• Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering
• Partner with Product, Engineering, and Business stakeholders to influence strategy using data‑driven insights
• Implement robust MLOps practices (CI/CD, model monitoring, automated retraining, observability)
• Building predictive models and segmentations to create better customer experience.
• Evaluate and implement optimal solution designs by assessing alternative workflows, architectures, and process improvements to ensure efficiency, scalability, and reliability.
• Establish appropriate governance and controls by identifying risks and issues, and developing improved procedures, policies, and best practices.
• Develop, document, and maintain system protocols, operating procedures, and standards to ensure consistency, compliance, and maintainability.
• Support end users and stakeholders by creating and maintaining technical and user documentation, providing training, and offering operational support as required.
• Work closely with large team, great collaboration and stakeholder management skills
• Safeguard sensitive data and maintain user trust by adhering to confidentiality, security, and compliance standards.
• Prepare technical and analytical reports by collecting, analyzing, and synthesizing data, insights, and trends to inform strategic decision‑making.
• Maintain and enhance professional and technical expertise through continuous learning, industry research, networking, and adoption of emerging technologies and best practices.

• Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills
• Bachelor s/Master s degree in Computer Science, Data Science, Engineering, or related field
• Strong hands‑on expertise with Google Cloud Platform
• Advanced proficiency in Python and ML/AI frameworks (scikit‑learn, Tensor Flow, PyTorch)
• Experience designing scalable ML architectures and distributed data systems
• Proven retail industry experience (mandatory)
• Experience building real‑time and batch ML solutions
• Strong background in statistics, experimentation, A/B testing, and model validation
• Ability to independently drive projects from concept to production
• Excellent stakeholder management and influencing skills

• Experience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc.)
• Exposure to GenAI / LLM applications
• Kubernetes/Docker and cloud‑native deployments
• Feature stores and model registries
• GCP or ML certifications

• Strong ownership mindset and accountability
• Positive, solution‑oriented attitude
• Effective collaborator and team player
• Ability to mentor and guide junior team members
• Strong communication and storytelling skills
• Comfortably influencing senior stakeholders and driving adoption

data science, a/b testing, mlops, machine learning, google cloud platform, data pipelines