Machine Learning Engineer - Production AI Systems
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Machine Learning Engineer - Production AI Systems,April 21, 2026### Job DescriptionLocation: London, UK Work Model: On-site Role Type: Full-TimeWe are looking for a Machine Learning Engineer with strong experience in deploying and scaling machine learning models to join our client’s on-site team in London.This role focuses on taking machine learning models from experimentation to production, ensuring they are scalable, reliable, and integrated into real-world applications.—### What You’ll Do* Deploy and maintain machine learning models in production environments* Build and optimise data pipelines for training and inference workflows* Collaborate with data scientists to productionise models* Monitor model performance and implement retraining pipelines* Improve scalability, latency, and reliability of ML systems* Integrate ML services into backend applications via APIs* Implement MLOps best practices across the ML lifecycle—### What We’re Looking For
Required Skills & Experience* Strong experience in machine learning engineering or applied ML* Proficiency in Python and ML frameworks* Experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure* Experience with containerisation using Docker and orchestration via Kubernetes* Experience with model deployment and monitoring—#### Nice to Have* Experience with MLOps tools and pipelines* Familiarity with feature stores and model versioning* Experience with real-time inference systems—Location: London, UK Work Model: On-site Role Type: Full-TimeLocation,Experience levelMid-Senior level## Work Location
Requirements
Required Skills & Experience* Strong experience in machine learning engineering or applied ML* Proficiency in Python and ML frameworks* Experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure* Experience with containerisation using Docker and orchestration via Kubernetes* Experience with model deployment and monitoring—#### Nice to Have* Experience with MLOps tools and pipelines* Familiarity with feature stores and model versioning* Experience with real-time inference systems—Location: London, UK Work Model: On-site Role Type: Full-TimeLocation,Experience levelMid-Senior level## Work Location #J-18808-Ljbffr
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