AI Engineer

AI Engineer

Full-Time 50000 - 70000 € / year (est.) No home office possible
Women in Data®

At a Glance

  • Tasks: Design and build AI solutions that deliver real value for customers.
  • Company: Join Legal & General, a leading UK financial services group.
  • Benefits: Competitive salary, healthcare, generous holiday, and electric car scheme.
  • Other info: Inclusive culture with flexible working options and excellent career development opportunities.
  • Why this job: Make a real impact with cutting-edge AI technology in a supportive environment.
  • Qualifications: Experience in AI solutions, strong Python skills, and knowledge of Azure.

The predicted salary is between 50000 - 70000 € per year.

Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities.

We’re looking for an AI Engineer to join a collaborative engineering team where you’ll help design, build and run secure, reliable AI solutions that deliver real value for customers. You’ll work alongside product, platform and data colleagues, contributing to high-quality outcomes while continuing to grow your technical skills in a supportive environment.

What you’ll be doing:

  • Designing and building production‑ready AI and machine learning solutions on Azure
  • Developing and maintaining Python services, APIs and data pipelines
  • Implementing and improving generative AI solutions including LLMs and RAG architectures
  • Contributing to CI/CD pipelines, model lifecycle management and operational monitoring
  • Deploying and supporting containerised AI services using Kubernetes and AKS
  • Applying testing, security and governance best practices throughout the development lifecycle
  • Collaborating in agile teams, participating in code reviews and knowledge sharing
  • Continuously learning and contributing to improvements in platforms, tools and ways of working

Who we’re looking for:

  • Hands‑on experience building and running AI or machine learning solutions in production
  • Strong Python skills and a solid understanding of machine learning fundamentals
  • Experience with generative AI concepts such as LLMs, prompt engineering or RAG pipelines
  • Working knowledge of Azure AI services and cloud‑based architectures
  • Experience with CI/CD, MLOps or GenAIOps practices
  • Familiarity with containerisation and Kubernetes‑based deployments
  • Understanding of secure, maintainable software development in regulated environments
  • Clear communication skills and the ability to work effectively in cross‑functional teams

Benefits:

  • The opportunity to participate in our annual, performance‑related bonus plan and valuable share schemes
  • Life assurance
  • Healthcare Plan (permanent employees only)
  • At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
  • Competitive family leave
  • Participate in our electric car scheme, which offers employees the option to hire a brand‑new electric car through tax‑efficient salary sacrifice (permanent employees only)
  • There are many discounts we offer – both for our own products and at a range of high street stores and online
  • We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience

At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part‑time, term‑time and job shares.

AI Engineer employer: Women in Data®

Legal & General (L&G) is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and well-being. As an AI Engineer, you will be part of a collaborative team dedicated to developing innovative AI solutions, with access to comprehensive benefits including performance-related bonuses, healthcare plans, and flexible working options. L&G's commitment to sustainability and creating net-zero carbon workplaces further enhances the appeal of working in a forward-thinking environment that values diverse perspectives and fosters professional development.

Women in Data®

Contact Detail:

Women in Data® Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and Azure. This gives you a chance to shine beyond the application.

Tip Number 3

Prepare for interviews by brushing up on generative AI concepts and CI/CD practices. Be ready to discuss how you've tackled challenges in past projects.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who want to make a difference.

We think you need these skills to ace AI Engineer

AI Solutions Design
Machine Learning
Python Programming
Generative AI
Large Language Models (LLMs)
RAG Architectures
Azure AI Services

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your hands-on experience with AI and machine learning solutions, especially in production environments. We want to see how your skills align with what we’re looking for!

Showcase Your Technical Skills:Don’t hold back on showcasing your Python skills and any experience you have with Azure AI services. Mention specific projects or achievements that demonstrate your understanding of generative AI concepts and CI/CD practices. This is your chance to shine!

Communicate Clearly:Since we value clear communication, make sure your application reflects this. Use straightforward language and structure your thoughts logically. We want to see that you can convey complex ideas effectively, especially when working in cross-functional teams.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!

How to prepare for a job interview at Women in Data®

Know Your AI Stuff

Make sure you brush up on your knowledge of AI and machine learning concepts, especially generative AI like LLMs and RAG architectures. Be ready to discuss your hands-on experience with Python and any projects you've worked on that relate to the job description.

Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Highlight your experience with CI/CD pipelines and MLOps practices, as well as how you ensure security and governance in your development processes.

Familiarise Yourself with Azure

Since the role involves working with Azure AI services, it’s a good idea to get comfortable with the platform. Be prepared to discuss how you've used Azure in past projects, particularly in building and deploying AI solutions.

Communicate Clearly

Effective communication is key, especially when collaborating in cross-functional teams. Practice explaining complex technical concepts in simple terms, and be ready to share examples of how you've successfully worked with others to achieve high-quality outcomes.