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- Tasks: Design and build GenAI platforms for safe and efficient AI solutions.
- Company: Kantar, an inclusive employer with a passion for innovation.
- Benefits: Flexible hybrid working, 25 days leave, competitive salary, and healthcare options.
- Other info: Dynamic role with opportunities for personal and professional growth.
- Why this job: Join a cutting-edge team shaping the future of Generative AI.
- Qualifications: Experience in AI/ML systems, MLOps, and cloud environments.
The predicted salary is between 80000 - 100000 ÂŁ per year.
This job is with Kantar, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Generative AI has moved quickly from experimentation to expectation - but making it work well, safely, and at scale is hard. In this role, you'll help turn GenAI into something teams across Kantar can rely on, not just prototype with. You'll design and build the foundations that enable production‑grade AI: reusable GenAI components, strong MLOps practices, and cloud‑native services that balance quality, cost, and reliability. Your work will help teams move faster, avoid common pitfalls, and deliver AI solutions that stand up in real‑world environments. This is a hands‑on, individual‑contributor role. You won't be managing people - instead, you'll lead through technical expertise, curiosity, and a passion for solving complex engineering problems.
What you'll be doing:
- Designing and building GenAI platform components that help teams create and deploy AI solutions safely and efficiently
- Implementing LLM‑based systems, including RAG, embeddings, semantic search, and agent‑based workflows
- Shaping how GenAI systems handle prompting, grounding, evaluation, reliability, and cost control
- Building and evolving MLOps pipelines, from experimentation through deployment, monitoring, and iteration
- Engineering cloud‑native, API‑driven services that integrate AI into production platforms
- Supporting and guiding other engineers through design reviews, coaching, and shared standards
The skills & experience we're looking for:
- Hands‑on experience building production AI or ML systems, with recent focus on Generative AI / LLMs
- A strong understanding of RAG architectures, embeddings, vector databases, and semantic retrieval
- Experience with MLOps, including deployment, monitoring, evaluation, and CI/CD for AI systems
- A solid software‑engineering background, building scalable backend services
- Experience working in cloud environments (Azure preferred, but AWS or GCP also welcome)
It's a bonus if you've also:
- Designed AI platforms used by multiple teams
- Worked with responsible AI, governance, or secure AI deployment
- Tuned GenAI systems for performance, reliability, or cost
What's in it for you (UK benefits):
- Flexible hybrid working
- 25 days leave, 2 days paid for volunteering and life event leave
- Competitive salary and bonus (bonus dependent on role)
- Company pension
- Enhanced parental leave
- Healthcare options
- Wide range of flexible benefits
Location: London, South
Principal AI Engineer (GenAI Platforms & MLOps) in London employer: Kantar
Contact Detail:
Kantar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer (GenAI Platforms & MLOps) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Kantar employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects, especially those related to Generative AI and MLOps. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of RAG architectures and MLOps practices. Practice coding challenges and system design questions to impress during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Principal AI Engineer (GenAI Platforms & MLOps) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal AI Engineer role. Highlight your hands-on experience with Generative AI and MLOps, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for Kantar. Be sure to mention specific technologies or methodologies you've used that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, include examples of complex engineering problems you've solved in the past. This will demonstrate your technical expertise and curiosity, which are key traits we're looking for.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Kantar
✨Know Your GenAI Stuff
Make sure you brush up on your knowledge of Generative AI and MLOps. Be ready to discuss specific projects you've worked on, especially those involving LLMs, RAG architectures, and cloud environments. This will show that you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex engineering problems you've solved in the past. Kantar is looking for someone who can lead through technical expertise, so highlight your curiosity and passion for tackling challenges head-on.
✨Understand Their Needs
Research Kantar's approach to AI and their specific goals. Tailor your answers to demonstrate how your skills can help them achieve reliable and efficient AI solutions. This shows that you're not just interested in the role, but also in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about their current AI projects, team dynamics, or future plans. This not only shows your interest but also gives you a chance to assess if Kantar is the right fit for you. Plus, it opens up a dialogue that can make you more memorable.