Machine Learning Engineer Production AI Systems

Talenzon group; Greater London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Talenzon group is looking for a Machine Learning Engineer to join their on-site team in London. The role focuses on deploying and maintaining machine learning models in production, building and optimizing data pipelines, and collaborating with data scientists. Candidates should possess strong experience in machine learning engineering, proficiency in Python, and familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure. This position is full-time and requires on-site work.

Qualifications

• Strong experience in machine learning engineering or applied ML.
• Proficiency in Python and machine learning frameworks.
• Experience with model deployment and monitoring.

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

Cloud platforms

Docker

Kubernetes

Tools

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