At a Glance
- Tasks: Design and build enterprise AI platforms using Azure technologies.
- Company: Join a forward-thinking company focused on innovative AI solutions.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic, innovation-driven 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: Sivara GmbH
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 be part of a culture that promotes responsible AI practices and cross-functional teamwork, ensuring your contributions make a meaningful impact on enterprise solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI 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 Sivara GmbH 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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH 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 AI Engineer in London
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 Sivara GmbH.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sivara GmbH 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 Sivara GmbH
✨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 Sivara GmbH 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.
