ML Ops Engineer (Hiring Immediately)

​
ML Ops Engineer

Royal Mail Farringdon

Permanent, Full time

Working 3x days in London Farringdon Office

Salary & Benefits

Competitive salary

Plus:
• Car allowance
• Healthcare
• Up to 18% annual bonus potential
• 25 days annual leave plus bank holidays rising with service
• Pension: access to the UK’s only Collective Defined Contribution scheme with industry-leading Royal Mail contributions of over 12%, flexible options to boost your savings, and a guaranteed retirement lump sum*

Join Royal Mail's Growing Data & AI Team

Royal Mail is transforming how we use data, machine learning and artificial intelligence to solve complex business challenges, improve customer outcomes and drive operational efficiency at scale.

We're looking for a Machine Learning Engineer to join our Data & AI team and play a key role in taking machine learning solutions from concept to production. Working alongside Data Scientists, Engineers and Platform teams, you'll help build, deploy and scale robust machine learning systems that deliver real business value across one of the UK's largest and most recognisable organisations.

This is an exciting opportunity to work with modern MLOps practices, cloud platforms and enterprise-scale data products while helping shape the future of AI at Royal Mail.

What You'll Be Doing

• 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.

What We're Looking For

You'll be passionate about turning machine learning models into production-ready solutions and enjoy working in a collaborative, fast-paced environment.

We're particularly interested in candidates who have:

• Proven experience as a Machine Learning Engineer or similar role delivering machine learning solutions into production.
• Strong Python development skills and experience with machine learning frameworks such as TensorFlow, PyTorch or Kubeflow.
• Experience designing, deploying and maintaining scalable ML platforms and pipelines.
• Knowledge of cloud environments including Azure, AWS or GCP.
• Experience with containerisation and orchestration technologies such as Kubernetes.
• Strong understanding of software engineering, DevOps and MLOps principles.
• Experience building and supporting production APIs and machine learning services.
• A collaborative approach with excellent communication and stakeholder engagement skills.
• A minimum of three years' experience within Machine Learning, AI Engineering or a related field.

Why Join Royal Mail?

• Work on high-impact AI and machine learning initiatives at national scale.
• Help shape the future of data and AI across the organisation.
• Collaborate with talented Data Scientists, Engineers and business stakeholders.