Engineer (Cloud Engineer, Data) Apply now
Engineer (Cloud Engineer, Data)

Engineer (Cloud Engineer, Data)

London Full-Time 43200 - 72000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Design and manage Azure-based solutions for AI and machine learning workloads.
  • Company: Join Nationwide, the UK's largest building society, focused on fair banking for all.
  • Benefits: Enjoy a personal pension, paid volunteering days, life assurance, and 25 days holiday.
  • Why this job: Be at the forefront of AI innovation in financial services while working in a hybrid environment.
  • Qualifications: Experience in platform engineering with strong Azure knowledge and programming skills required.
  • Other info: Work in a collaborative, purpose-driven team that values your contributions and growth.

The predicted salary is between 43200 - 72000 £ per year.

As an Platform Engineer within the AI Center of Excellence (CoE) team in Data functions and technology delivery, you will be at the cutting edge of merging advanced AI techniques with the company’s distinctive data assets to optimize business decisions and automate processes. This role offers the chance to expand the frontiers of AI applications in financial services by leveraging the latest innovations in Natural Language Processing and statistical machine learning.

You will be instrumental in creating products that enhance efficiency, aid experts in prioritising tasks, and improve decision-making. Our growing suite of AI-powered products and services presents substantial opportunities for the reuse of foundational components through thoughtfully designed libraries and services that can be applied team-wide. This position uniquely blends scientific research with software engineering, requiring a comprehensive understanding of both domains.

At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.

For this job you’ll spend at least two days per week, or if part time you’ll spend 40% of your working time, at either our Swindon, London, Northampton, or Birmingham office. If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here .
If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.

What you’ll be doing

  • Design, develop, and manage robust and scalable Azure-based solutions for AI and machine learning workloads.
  • Implement Azure services such as Azure Machine Learning, Azure OpenAI, Azure Cognitive Services, Azure App Services and Databricks to enhance our AI capabilities.
  • Collaborate with AI researchers and data scientists to understand their needs and translate these into platform features and improvements.
  • Adopt and promote best practices in machine learning operations (MLOps), including automation, monitoring, and deployment of AI models using Azure DevOps.
  • Optimize Azure resources for performance, cost, and compliance.
  • Monitor AI platform health, diagnose and resolve issues, and provide technical support for AI deployments.
  • Stay updated with the latest Azure features and AI technologies and recommend ways to integrate them into our solutions.
  • Develop and maintain documentation, including architecture diagrams, operational procedures, and best practices for users of the AI platform.
  • Ensure high availability, deployment strategies and test coverage are in place for critical AI systems and data.
  • Work with cross-functional teams to design and implement AI solutions in a regulated environment.

About you

  • Proven experience in platform engineering, cloud architecture, or a similar role with a focus on Microsoft Azure.
  • Strong knowledge of Azure platform and its AI services such as Azure Machine Learning, Azure Functions, Azure OpenAI, Azure Cognitive Services, and Azure DevOps.
  • Strong hands-on experience with infrastructure as code (IaC) using Terraform or similar tools.
  • Proficiency in CI/CD (Azure DevOps) methodologies and tools for efficient and automated deployment and testing of AI services.
  • Experience using programming languages such as Python and familiarity with the Azure SDK and CLI.
  • Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
  • Effective communication skills and the ability to convey complex technical information to non-technical stakeholders.
  • Comfortable working in an Agile environment.
  • Understanding of networking, security, and database concepts in the Azure ecosystem is a plus.
  • Experience with Monitoring and observability tools is a plus.

The extras you’ll get

There are all sorts of employee benefits available at Nationwide, including:

  • A personal pension – if you put in 7% of your salary, we’ll top up by a further 16%
  • Up to 2 days of paid volunteering a year
  • Life assurance worth 8x your salary
  • A great selection of additional benefits through our salary sacrifice scheme
  • Wellhub – Access to a range of free and paid options for health and wellness.
  • Access to an annual performance related bonus
  • Access to training to help you develop and progress your career
  • 25 days holiday, pro rata

What makes us different

Nationwide is the world’s largest building society. With over 15 million customers, we have a relationship with almost a quarter of the UK’s population. We’ve got the scale to compete with the big banks, but we’re not a bank.

As a building society, we’re owned by our members – that’s our customers who have their current account, mortgage or savings with us. It means we can do things differently to deliver our Purpose – Banking – but fairer, more rewarding, and for the good of society.

When you work at Nationwide, you can experience that difference for yourself. You’ll be part of a high-performing, purpose-driven organisation that offers rewarding career experiences and a highly competitive range of benefits to match. You’ll also be joining us at an important time as we seek to reach more and more people in the UK. We want everyone in the UK to know that they don’t have to bank with a bank. They can choose a modern mutual instead.

What to do next

If this role is for you, please click the ‘Apply Now’ button. You’ll need to attach your up-to-date CV and answer a few quick questions for us

We respond to everyone, so we will be in contact shortly after the closing date to let you know the outcome of your application.

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Engineer (Cloud Engineer, Data) employer: Nationwide

At Nationwide, we pride ourselves on being an exceptional employer, offering a unique blend of purpose-driven work and competitive benefits. As a Platform Engineer in our AI Center of Excellence, you'll thrive in a collaborative environment that fosters innovation and professional growth, while enjoying the flexibility of hybrid working across our UK offices. With access to extensive training opportunities, a generous pension scheme, and a commitment to employee well-being, you'll be empowered to make a meaningful impact in the financial services sector.
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Contact Detail:

Nationwide Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineer (Cloud Engineer, Data)

✨Tip Number 1

Familiarize yourself with the latest Azure services, especially those related to AI and machine learning. Being able to discuss specific features like Azure Machine Learning or Azure Cognitive Services during your interview will show that you're proactive and knowledgeable.

✨Tip Number 2

Connect with current employees on LinkedIn or other professional networks. Engaging with them can provide insights into the company culture and the specific challenges they face, which you can address in your discussions.

✨Tip Number 3

Prepare to demonstrate your hands-on experience with infrastructure as code (IaC) tools like Terraform. Consider creating a small project that showcases your skills in deploying Azure resources using IaC, as practical examples can make a strong impression.

✨Tip Number 4

Stay updated on the latest trends in AI and cloud technologies. Being able to discuss recent advancements or case studies in AI applications within financial services can set you apart from other candidates.

We think you need these skills to ace Engineer (Cloud Engineer, Data)

Platform Engineering
Cloud Architecture
Microsoft Azure
Azure Machine Learning
Azure OpenAI
Azure Cognitive Services
Azure DevOps
Infrastructure as Code (IaC)
Terraform
CI/CD methodologies
Python programming
Azure SDK and CLI
Problem-Solving Skills
Attention to Detail
Agile Methodologies
Networking Concepts
Security Concepts
Database Concepts
Monitoring Tools
Observability Tools
Technical Documentation

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your relevant experience in platform engineering, cloud architecture, and specifically with Microsoft Azure.

Highlight Relevant Skills: Emphasize your hands-on experience with Azure services such as Azure Machine Learning, Azure OpenAI, and Azure DevOps. Mention any experience you have with infrastructure as code (IaC) using Terraform, as well as your proficiency in programming languages like Python.

Showcase Problem-Solving Abilities: Provide examples of how you've solved complex technical problems in previous roles. This could include optimizing cloud resources or implementing best practices in machine learning operations (MLOps).

Prepare Your CV and Cover Letter: Ensure your CV is up-to-date and tailored to the position. Write a compelling cover letter that explains why you're a great fit for the role and how your skills align with the company's goals, particularly in AI and financial services.

How to prepare for a job interview at Nationwide

✨Showcase Your Azure Expertise

Make sure to highlight your hands-on experience with Microsoft Azure and its AI services during the interview. Be prepared to discuss specific projects where you've implemented Azure Machine Learning, Azure OpenAI, or Azure Cognitive Services.

✨Demonstrate MLOps Knowledge

Since the role emphasizes best practices in machine learning operations (MLOps), be ready to explain how you've automated, monitored, and deployed AI models using Azure DevOps. Share examples of how you’ve optimized resources for performance and cost.

✨Communicate Complex Ideas Simply

Effective communication is key, especially when conveying technical information to non-technical stakeholders. Practice explaining complex concepts in a straightforward manner, perhaps by using analogies or simple terms.

✨Stay Updated on AI Innovations

The field of AI is constantly evolving, so demonstrate your commitment to staying current with the latest Azure features and AI technologies. Discuss any recent advancements you've learned about and how they could be integrated into existing solutions.

Engineer (Cloud Engineer, Data)
Nationwide Apply now
N
  • Engineer (Cloud Engineer, Data)

    London
    Full-Time
    43200 - 72000 £ / year (est.)
    Apply now

    Application deadline: 2026-12-15

  • N

    Nationwide

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