At a Glance
- Tasks: Design and build enterprise AI platforms using Azure technologies.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic, secure environment.
- Why this job: Make a real impact by turning AI concepts into scalable solutions.
- Qualifications: Experience with Azure AI services and Generative AI is essential.
The predicted salary is between 60000 - 80000 € per year.
Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact.
Key Responsibilities
- Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio.
- Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications.
- Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems.
- Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices.
- Support AI experimentation, model fine-tuning, prompt evaluation and production deployment.
- Monitor AI performance, token usage, cost optimisation, reliability and security.
- Collaborate with cross-functional teams to deliver scalable and compliant AI solutions.
- Promote Responsible AI, governance, and data security across all AI initiatives.
Required Experience
- Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering.
- Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows.
- Experience building secure CI/CD, LLMOps, and MLOps pipelines.
- Knowledge of Terraform, cloud security, APIs, and enterprise integrations.
- Familiarity with frameworks such as LangChain or Semantic Kernel.
- Strong stakeholder communication and cross-functional collaboration skills.
This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting-edge Generative AI technologies in a secure, innovation-driven environment.
AI Engineer in London employer: Vivo Talent
Join a forward-thinking company that prioritises innovation and collaboration, offering AI Engineers the chance to work with cutting-edge Generative AI technologies in a hybrid environment in London. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to make a meaningful impact by turning AI concepts into scalable solutions. The supportive work culture fosters teamwork and encourages responsible AI practices, making it an excellent place for professionals looking to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Network Like a Pro
Get out there and connect with people in the AI space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can lead to job opportunities that aren't even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Azure and Generative AI. Share your work on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Azure knowledge and Generative AI concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also helps us match you with the right opportunities based on your skills and interests.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure AI services and Generative AI. We want to see how your skills align with the key responsibilities mentioned in the job description.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our team. Share specific examples of your past projects that relate to the role.
Showcase Your Technical Skills:Don’t forget to mention your hands-on expertise with CI/CD, LLMOps, and MLOps pipelines. We’re looking for someone who can hit the ground running, so highlight relevant tools and technologies you've worked with.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Vivo Talent
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure AI services, especially Azure OpenAI and Azure ML. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Generative AI Expertise
Prepare to talk about your hands-on experience with Generative AI and RAG architectures. Have specific examples ready that demonstrate your ability to design and deploy intelligent agent solutions, as this will show your potential employer that you can hit the ground running.
✨Highlight Collaboration Skills
Since you'll be working closely with developers, data scientists, and business stakeholders, it's crucial to showcase your communication and collaboration skills. Think of instances where you successfully worked in cross-functional teams and how you contributed to delivering scalable AI solutions.
✨Understand Responsible AI Practices
Familiarise yourself with the principles of Responsible AI and data security. Be prepared to discuss how you would promote governance and security across AI initiatives, as this is a key aspect of the role and shows your commitment to ethical AI development.
