ML Ops Engineer

Royal Mail; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Car allowance

Healthcare

Up to 18% annual bonus potential

25 days annual leave + bank holidays

Job summary

Royal Mail is seeking a Machine Learning Engineer to join the Data & AI team in London. You will help take machine learning solutions from concept to production, working with data scientists, engineers and platform teams to build, deploy and scale robust ML systems.

This role offers hybrid working pattern with 3 days in the London Farringdon office, a competitive salary, and benefits including a car allowance, healthcare, and a generous pension scheme.

Qualifications

• Proven experience as a Machine Learning Engineer or similar role delivering ML solutions into production.
• Strong Python development skills and experience with ML frameworks such as TensorFlow, PyTorch or Kubeflow.
• Experience designing, deploying and maintaining scalable ML platforms and pipelines.

Responsibilities

• Design scalable ML pipelines for training, testing, deployment and monitoring.
• Optimize model performance and reliability in production environments.
• Build CI/CD processes and automated workflows for ML delivery.
• Collaborate with Data Scientists to operationalise ML models and AI solutions.
• Support adoption of MLOps best practices across the data community.
• Deploy and manage ML workloads using cloud technologies.

Skills

Python

Machine learning

Communication

Collaboration

ML model production

Tools

TensorFlow

PyTorch

Kubeflow

Job description

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 Kubuflow.
• 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.
• Gain exposure to modern cloud technologies, MLOps tooling and large-scale production environments.
• Be part of a business investing heavily in digital transformation and innovation.

Benefits & Rewards

In addition to the salary and benefits outlined above, you'll also enjoy:

• Family friendly support - enhanced maternity pay, paternity leave, adoption leave and shared parental leave
• Supportive and generous company sick pay
• Funded Dental – As a manager you are eligible to a level of employer funded dental insurance**
• Health Assessment – As a manager you are eligible to an employer funded health assessment every 2 years**
• Benefits Account – With more than 800 retail offers to help you save on things like groceries, days out, holidays and your household bills as well as employer provided and voluntary benefits to suit your lifestyle.
• Your Wellbeing - you and your family have 24/7 access to a range of free services and tools, offering support for physical and mental wellbeing, financial guidance, and social support whenever you need it.
• Eligible for enrolment in NEST pension plan after 3 months service and CDC pension scheme after 12 months service
• Available only to permanent employees

Next Steps

The next stage of the selection process will be a face to face/virtual interview.

Trust is the foundation of Royal Mail. We aim to be transparent about the qualities we seek and what a career with us entails, building trust from the start of your journey with us. Your interview is the first step, and we want you to shine.

We understand that candidates may not meet all the criteria for the role. If your experience is different, but you have relevant skills we’d love to hear from you.

Closing Date: 07/10/26. Please note, this advert may close early if the appropriate number of applications has been reached.