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- Tasks: Lead AI engineering projects and develop innovative solutions with a talented team.
- Company: Join a forward-thinking tech company in London or Porto, focused on AI advancements.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI technology and make a significant impact in the industry.
- Qualifications: Proven experience in AI engineering and strong leadership skills required.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
The predicted salary is between 72000 - 108000 £ per year.
We are looking for a talented Principal Engineering Lead, AI Enabled Solutions to join our engineering community, in our offices in London (South Bank Central) or in Porto. Together we are building, enhancing and supporting the next generation of our platform. This role is perfect for a highly experienced software engineer or software architect who loves to work as a team whilst building elegant and simple solutions that scale.
- Proven experience in AI engineering, including building, deploying, and maintaining machine learning and generative AI solutions (e.g., LLMs, embeddings, RAG, vector search, model fine-tuning).
- Strong knowledge of MLOps practices for continuous integration, deployment, and monitoring of ML/AI models.
- Experience with AI-specific infrastructure, such as model orchestration pipelines, GPU-based compute, and AI model hosting services.
- Understanding of vector databases, semantic search, and scalable data structures for AI applications.
- Familiarity with AI governance, responsible AI principles, and model evaluation techniques.
- Deep expertise in Microsoft .NET Core, C#, and modern back-end technologies, with the ability to code across multiple languages such as Python, Go, or TypeScript.
- Strong understanding of microservices architecture, distributed systems, and cloud-native design patterns.
- Experience with SQL databases (e.g., Microsoft SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, CosmosDB).
- Proficiency in synchronous and asynchronous APIs, messaging frameworks, and event-driven systems.
- Secure coding practices with a strong grasp of cybersecurity threats, especially in the context of AI and data privacy.
- Experience deploying large-scale AI and software solutions on Azure, AWS, or Google Cloud.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cloud-native data pipelines and serverless computing environments.
- 2–4 years in a principal engineer, technical lead, or software architect role, demonstrating strong technical leadership in both AI and software engineering.
- Experience mentoring teams and fostering a culture of continuous learning and technical excellence.
- Ability to translate complex AI concepts into actionable strategies for technical and business stakeholders.
- Strong communication skills with proven success collaborating across diverse teams, including Data Science and Product Management.
Principal Engineering Lead, AI Enabled Solutions in London employer: Kantar Group Limited
Contact Detail:
Kantar Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Engineering Lead, AI Enabled Solutions in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving machine learning and generative AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with MLOps, cloud-native design patterns, and your passion for building scalable solutions.
We think you need these skills to ace Principal Engineering Lead, AI Enabled Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI engineering, MLOps practices, and any relevant technologies like .NET Core or Python. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions and how your background makes you a perfect fit for the Principal Engineering Lead role. Don’t forget to mention your experience in mentoring and leading teams.
Showcase Your Projects: If you've worked on any impressive AI projects, make sure to include them in your application. Whether it's deploying machine learning models or building scalable solutions, we love seeing real-world examples of your work and impact.
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 community at StudySmarter!
How to prepare for a job interview at Kantar Group Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially around machine learning and generative AI solutions. Be ready to discuss your experience with LLMs, embeddings, and model fine-tuning, as well as how you've applied MLOps practices in your previous roles.
✨Showcase Your Technical Leadership
Prepare examples that highlight your experience as a principal engineer or technical lead. Think about times when you've mentored teams or led projects, and be ready to explain how you foster a culture of continuous learning and technical excellence.
✨Communicate Clearly
Since this role involves collaborating with diverse teams, practice explaining complex AI concepts in simple terms. You want to demonstrate your ability to translate technical jargon into actionable strategies for both technical and business stakeholders.
✨Get Familiar with the Tech Stack
Review the technologies mentioned in the job description, like .NET Core, Python, and cloud platforms like Azure or AWS. Be prepared to discuss your hands-on experience with these tools, especially in the context of deploying large-scale AI solutions.
