Principal Engineering Lead, AI Enabled Solutions
- 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.
- Experience with UI development technologies such as Angular, TypeScript, JavaScript, HTML5, and modern frameworks to build AI-driven user interfaces.
London, South Bank CentralUnited Kingdom Kantar Rewards Statement At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that's out of the ordinary and join us. We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. Kantar is the world's leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar's 30,000 people help the world's leading organisations succeed and grow.
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