ML Engineer in London

ML Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement scalable machine learning pipelines and optimise model performance.
  • Company: Join Royal Mail's innovative Data & AI team transforming the future of AI.
  • Benefits: Competitive salary, car allowance, healthcare, and generous annual leave.
  • Other info: Collaborative environment with excellent career growth and wellbeing support.
  • Why this job: Work on impactful AI projects at a national scale with modern technologies.
  • Qualifications: Experience in machine learning, strong Python skills, and knowledge of cloud environments.

The predicted salary is between 63000 - 77000 £ per year.

  • 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 Tensor Flow, Py Torch 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, Dev Ops 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.

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ML Engineer in London employer: Royal Mail

Royal Mail is an exceptional employer, offering a dynamic work environment at our Leeds Mail Centre, where you can be part of a significant technological transformation in the delivery services sector. With competitive salaries exceeding £55,000, generous leave entitlements, and a commitment to employee growth through continuous improvement projects, we foster a culture of collaboration and innovation. Join us to not only advance your career but also contribute to a company that values diversity and inclusion, ensuring every voice is heard and respected.

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Contact Details:

Royal Mail Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Engineer in London

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Royal Mail or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Royal Mail.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Royal Mail.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Royal Mail that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace ML Engineer in London

Machine Learning
Python Development
TensorFlow
PyTorch
Kubeflow
Cloud Environments (Azure, AWS, GCP)
Containerisation

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Royal Mail.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Royal Mail and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Royal Mail

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Royal Mail uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.