

UST
Senior Data Scientist/AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist/AI/ML Engineer with strong retail experience, based in Leicester. It is a 6-month contract at a competitive pay rate, requiring expertise in Google Cloud, Python, ML frameworks, and scalable ML architectures.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 19, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
Leicester, England, United Kingdom
-
🧠 - Skills detailed
#Data Science #Scala #ML (Machine Learning) #Deep Learning #Storytelling #Statistics #Python #Libraries #A/B Testing #Compliance #Security #Data Pipeline #Cloud #TensorFlow #Data Wrangling #Kubernetes #Documentation #Deployment #Batch #Time Series #AI (Artificial Intelligence) #Docker #GCP (Google Cloud Platform) #Leadership #Monitoring #Data Analysis #Strategy #Computer Science
Role description
Senior Data Science, AI/ML Engineer (Google Cloud - Retail)
Location Leicester
Duration 6 Month Fixed term contract
About the rol
eUST 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 productization and impact measurement
.
Key Responsibiliti
• esArchitect, design, and deployment-to-end ML systems on Google Cloud at sca
• leLead development of data pipelines, feature engineering frameworks, and MLOps workflo
• wsStrong experience of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Pyth
• onExperience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc
• .)Experience in Deep Learning Technique
• s.Translate ambiguous business problems into data science solutions and measurable KP
• IsProficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineeri
• ngPartner with Product, Engineering, and Business stakeholders to influence strategy using data-driven insigh
• tsImplement robust MLOps practices (CI/CD, model monitoring, automated retraining, observabilit
• y)Building predictive models and segmentations to create better customer experienc
• e.Evaluate and implement optimal solution designs by assessing alternative workflows, architectures, and process improvements to ensure efficiency, scalability, and reliabilit
• y.Establish appropriate governance and controls by identifying risks and issues, and developing improved procedures, policies, and best practice
• s.Develop, document, and maintain system protocols, operating procedures, and standards to ensure consistency, compliance, and maintainabilit
• y.Support end users and stakeholders by creating and maintaining technical and user documentation, providing training, and offering operational support as require
• d.Work closely with large team, great collaboration and stakeholder management skil
• lsSafeguard sensitive data and maintain user trust by adhering to confidentiality, security, and compliance standard
• s.Prepare technical and analytical reports by collecting, analyzing, and synthesizing data, insights, and trends to inform strategic decision-makin
• g.Maintain and enhance professional and technical expertise through continuous learning, industry research, networking, and adoption of emerging technologies and best practices. Required Qualificatio
• nsExcellent problem solving, Critical and Analytical thinking skills and hands on coding skil
• lsBachelor s/Master s degree in Computer Science, Data Science, Engineering, or related fie
• ldStrong hands-on expertise with Google Cloud Platfo
• rmAdvanced proficiency in Python and ML/AI frameworks (scikit-learn, TensorFlow, PyTorc
• h)Experience designing scalable ML architectures and distributed data syste
• msProven retail industry experience (mandator
• y)Experience building real-time and batch ML solutio
• nsStrong background in statistics, experimentation, A/B testing, and model validati
• onAbility to independently drive projects from concept to producti
• onExcellent stakeholder management and influencing skills Good to Ha
• veExperience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc
• .)Exposure to GenAI / LLM applicatio
• nsKubernetes/Docker and cloud-native deploymen
• tsFeature stores and model registri
• esGCP or ML certifications Soft Skills & Leadership Trai
• tsStrong ownership mindset and accountabili
• tyPositive, solution-oriented attitu
• deEffective collaborator and team play
• erAbility to mentor and guide junior team membe
• rsStrong communication and storytelling skil
• lsComfortably influencing senior stakeholders and driving adopti
on
Senior Data Science, AI/ML Engineer (Google Cloud - Retail)
Location Leicester
Duration 6 Month Fixed term contract
About the rol
eUST 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 productization and impact measurement
.
Key Responsibiliti
• esArchitect, design, and deployment-to-end ML systems on Google Cloud at sca
• leLead development of data pipelines, feature engineering frameworks, and MLOps workflo
• wsStrong experience of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Pyth
• onExperience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc
• .)Experience in Deep Learning Technique
• s.Translate ambiguous business problems into data science solutions and measurable KP
• IsProficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineeri
• ngPartner with Product, Engineering, and Business stakeholders to influence strategy using data-driven insigh
• tsImplement robust MLOps practices (CI/CD, model monitoring, automated retraining, observabilit
• y)Building predictive models and segmentations to create better customer experienc
• e.Evaluate and implement optimal solution designs by assessing alternative workflows, architectures, and process improvements to ensure efficiency, scalability, and reliabilit
• y.Establish appropriate governance and controls by identifying risks and issues, and developing improved procedures, policies, and best practice
• s.Develop, document, and maintain system protocols, operating procedures, and standards to ensure consistency, compliance, and maintainabilit
• y.Support end users and stakeholders by creating and maintaining technical and user documentation, providing training, and offering operational support as require
• d.Work closely with large team, great collaboration and stakeholder management skil
• lsSafeguard sensitive data and maintain user trust by adhering to confidentiality, security, and compliance standard
• s.Prepare technical and analytical reports by collecting, analyzing, and synthesizing data, insights, and trends to inform strategic decision-makin
• g.Maintain and enhance professional and technical expertise through continuous learning, industry research, networking, and adoption of emerging technologies and best practices. Required Qualificatio
• nsExcellent problem solving, Critical and Analytical thinking skills and hands on coding skil
• lsBachelor s/Master s degree in Computer Science, Data Science, Engineering, or related fie
• ldStrong hands-on expertise with Google Cloud Platfo
• rmAdvanced proficiency in Python and ML/AI frameworks (scikit-learn, TensorFlow, PyTorc
• h)Experience designing scalable ML architectures and distributed data syste
• msProven retail industry experience (mandator
• y)Experience building real-time and batch ML solutio
• nsStrong background in statistics, experimentation, A/B testing, and model validati
• onAbility to independently drive projects from concept to producti
• onExcellent stakeholder management and influencing skills Good to Ha
• veExperience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc
• .)Exposure to GenAI / LLM applicatio
• nsKubernetes/Docker and cloud-native deploymen
• tsFeature stores and model registri
• esGCP or ML certifications Soft Skills & Leadership Trai
• tsStrong ownership mindset and accountabili
• tyPositive, solution-oriented attitu
• deEffective collaborator and team play
• erAbility to mentor and guide junior team membe
• rsStrong communication and storytelling skil
• lsComfortably influencing senior stakeholders and driving adopti
on






