Infoplus Technologies UK Limited
Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer on a 6-month inside IR35 contract in Manchester, requiring 10+ years of experience. Key skills include ML pipelines in Kubeflow, Python, GCP knowledge, and expertise in model deployment and monitoring.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Manchester Area, United Kingdom
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🧠 - Skills detailed
#Monitoring #Data Science #Cloud #Model Deployment #ML (Machine Learning) #Deployment #A/B Testing #AI (Artificial Intelligence) #Python
Role description
Role name:
Lead Machine Learning Engineer
Role Type:
InsideIR35 Contract
Duration:
6 Months
Location:
Manchester - Hybrid 2-3 days/week
Role Description:
Work closely with Morrisons Data Team on building Deployment Environment and Enterprise Launching of a set of Models [Predictive/Text-Embedding/Foundation etc.]Build the Deployment Maturity with ML pipelines Monitoring and Operations Support of the Models Work closely with the Morrisons Data Science Team and Process Innovation Team to understand and improve the ways of working.
Competencies:
Digital: Machine Learning, Digital: Google Cloud
Experience (Years):
10 & Above
Essential Skills:
Professional Knowledge on building ML Pipelines in Kubeflow, TFX using vertex AI as Orchestration layer.SDLC Maturity on Model Deployment & MonitoringProfessional Knowledge in PythonMaturity in Model Deployments which includes Data Preprocessing, Optimization & Training, Serialization if needed.AB Testing of ModelsGCP KnowledgeCICDCT of ModelsExpertise in implementing and maintaining Container Registry,Artefact Registry for the ML models.Expertise in Code coverage and static code analysis tools like Pylint. Expertise in CML [Continuous Machine Learning] to implement CICD in ML Models.
Role name:
Lead Machine Learning Engineer
Role Type:
InsideIR35 Contract
Duration:
6 Months
Location:
Manchester - Hybrid 2-3 days/week
Role Description:
Work closely with Morrisons Data Team on building Deployment Environment and Enterprise Launching of a set of Models [Predictive/Text-Embedding/Foundation etc.]Build the Deployment Maturity with ML pipelines Monitoring and Operations Support of the Models Work closely with the Morrisons Data Science Team and Process Innovation Team to understand and improve the ways of working.
Competencies:
Digital: Machine Learning, Digital: Google Cloud
Experience (Years):
10 & Above
Essential Skills:
Professional Knowledge on building ML Pipelines in Kubeflow, TFX using vertex AI as Orchestration layer.SDLC Maturity on Model Deployment & MonitoringProfessional Knowledge in PythonMaturity in Model Deployments which includes Data Preprocessing, Optimization & Training, Serialization if needed.AB Testing of ModelsGCP KnowledgeCICDCT of ModelsExpertise in implementing and maintaining Container Registry,Artefact Registry for the ML models.Expertise in Code coverage and static code analysis tools like Pylint. Expertise in CML [Continuous Machine Learning] to implement CICD in ML Models.
