Machine Learning Engineer – Production AI Systems

Talenzon group; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Talenzon group is seeking a Machine Learning Engineer in London. The role requires expertise in deploying machine learning models and optimizing data pipelines. Candidates should be proficient in Python and familiar with cloud platforms like AWS and Azure. This full-time position emphasizes collaboration with data scientists and monitoring of ML system performance. Other desired skills include experience in containerization with Docker and orchestration with Kubernetes. It's an on-site role based in Greater London.

Qualifications

• Strong experience in machine learning engineering or applied ML.
• Proficiency in Python and ML frameworks.
• Experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.

Responsibilities

• 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.

Skills

Machine learning engineering

Python

ML frameworks

Cloud platforms

Containerisation using Docker

Kubernetes

Model deployment

Monitoring

Tools

Docker

Kubernetes

AWS

Google Cloud

Microsoft Azure

Job description

# Machine Learning Engineer – Production AI Systems,April 21, 2026### Job Description**Location:** 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