Machine Learning Engineer — Production ML & MLOps, London

Royal Mail; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Car allowance

Healthcare

Up to 18% annual bonus potential

25 days annual leave plus bank fees (r

Pension: CDC scheme with >12% Royal RM

Flexible savings options

Job summary

Royal Mail Farringdon is hiring a Machine Learning Engineer to join the Data & AI team. You will help build, deploy and scale ML systems, collaborating with Data Scientists, Engineers and Platform teams to deliver business value at scale.

You will design scalable pipelines, optimise models for production, and implement CI/CD workflows while applying MLOps best practices across the data community. This is a hands-on, production-focused role in London.

Qualifications

• Proven experience delivering ML solutions into production.
• Strong Python development skills with ML frameworks (TensorFlow, PyTorch, Kubeflow).
• Experience designing, deploying and maintaining scalable ML platforms and pipelines.
• Knowledge of cloud environments (Azure, AWS, GCP).
• Experience with containerisation and orchestration (Kubernetes).
• Solid software engineering, DevOps and MLOps understanding.
• Experience building and supporting production ML APIs and services.
• Collaborative, with strong communication and stakeholder engagement.

Responsibilities

• Designing and implementing scalable machine learning pipelines for training, testing, deployment and monitoring.
• Optimising model performance, reliability and scalability for production environments.
• Building robust CI/CD processes and automated workflows to support machine learning delivery.
• Working closely with Data Scientists to operationalise machine learning models and AI solutions.
• Supporting the adoption of MLOps best practices across the wider data community.
• Deploying and managing machine learning workloads using approved tooling and cloud technologies.
• Ensuring production APIs and machine learning services remain resilient, secure and scalable.
• Contributing to engineering standards, continuous improvement and technical innovation.

Skills

Production ML in production

Python development

ML frameworks

Scalable ML platforms

Cloud environments

Kubernetes

DevOps / MLOps

Production APIs

Collaboration & communication

Job description

Royal Mail Farringdon is hiring a Machine Learning Engineer to join the Data & AI team. You will help build, deploy and scale ML systems, collaborating with Data Scientists, Engineers and Platform teams to deliver business value at scale.

You will design scalable pipelines, optimise models for production, and implement CI/CD workflows while applying MLOps best practices across the data community. This is a hands-on, production-focused role in London.