Oliver Bernard
ML Engineer (Outside IR35, £550 Per Day)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of over 6 months, offering £550 per day. It requires experience in end-to-end ML deployments, cloud platforms (AWS, GCP), and DevOps practices, preferably in the retail industry.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
550
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🗓️ - Date
October 29, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Monitoring #Infrastructure as Code (IaC) #DevOps #Scala #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Kubernetes #GCP (Google Cloud Platform) #Docker #Cloud #Deployment #GraphQL
Role description
Machine Learning Engineer - Outside IR35, up to £550 per day
Remote or London Hybrid.
Immediate start
Looking for multiple Machine Learning Engineers for a long term project with one of OB's clients in the retail space.
• Proven experience in end-to-end ML deployments, including GenAI models, into scaled production systems.
• Skilled in building RESTful and GraphQL APIs for integrating GenAI systems with front-end and back-end platforms (UI, order systems, data stores).
• Strong problem-solving skills; capable of delivering scalable, maintainable software.
• Effective communicator and team player.
• Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge.
• Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC).
• Experience with event-driven architecture and streaming (Kafka a strong plus).
• Exposure to chat agents and customer service systems is a plus.
Machine Learning Engineer - Outside IR35, up to £550 per day
Remote or London Hybrid.
Immediate start
Looking for multiple Machine Learning Engineers for a long term project with one of OB's clients in the retail space.
• Proven experience in end-to-end ML deployments, including GenAI models, into scaled production systems.
• Skilled in building RESTful and GraphQL APIs for integrating GenAI systems with front-end and back-end platforms (UI, order systems, data stores).
• Strong problem-solving skills; capable of delivering scalable, maintainable software.
• Effective communicator and team player.
• Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge.
• Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC).
• Experience with event-driven architecture and streaming (Kafka a strong plus).
• Exposure to chat agents and customer service systems is a plus.
