Natobotics
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer based in London for 5 months (extendable). Key skills include Redis, Kafka, S3, PyTorch, and SageMaker. Hybrid work model with two days on-site weekly. Industry experience in data pipelines is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#PyTorch #S3 (Amazon Simple Storage Service) #Batch #SageMaker #Deployment #Data Pipeline #Kafka (Apache Kafka) #Redis #Model Deployment #ML (Machine Learning)
Role description
We are currently on an existing journey with the client and working closely with them on this role.
we are huiring for Machine Learning Engineer position is based in London
Job Title: Machine Learning Engineer
Location: London, UK
Duration: 5 Months (Extendable as per business needs)
Hybrid (Weekly twice)
Job Description:
• Redis cluster setup
• Kafka/Flink streaming pipelines
• S3 Data pipeline
• Real time micro batches implementation (5 minutes, hourly, daily)
• Mongo/Atlas as alternative implementation (we might land with S3 instead)
• SageMaker MLOps / SageMaker Training / SM Model Deployment
• Pytorch
We are currently on an existing journey with the client and working closely with them on this role.
we are huiring for Machine Learning Engineer position is based in London
Job Title: Machine Learning Engineer
Location: London, UK
Duration: 5 Months (Extendable as per business needs)
Hybrid (Weekly twice)
Job Description:
• Redis cluster setup
• Kafka/Flink streaming pipelines
• S3 Data pipeline
• Real time micro batches implementation (5 minutes, hourly, daily)
• Mongo/Atlas as alternative implementation (we might land with S3 instead)
• SageMaker MLOps / SageMaker Training / SM Model Deployment
• Pytorch
