RevOps Engineer creating operational systems for NHS growth team. Managing CRM and data infrastructure for efficient lead generation and sales processes with a high degree of ownership.
About the role
- Principal Engineering Lead at Kantar guiding AI-enabled enterprise platform development. Leading cross-functional collaboration and ensuring engineering excellence in ML and AI systems.
Responsibilities
- Leading the design and delivery of AI‑enabled enterprise platforms, from early architecture through to production
- Building and improving applied AI solutions (including LLM-based patterns such as embeddings, retrieval approaches, and model tuning where appropriate)
- Setting engineering standards for MLOps: CI/CD, model deployment, monitoring, evaluation, and operational reliability
- Architecting secure, cloud-native services (microservices, APIs, messaging/event-driven patterns) that support AI workloads at scale
- Coaching engineers and collaborating across Engineering, Data Science, and Product to turn complex AI concepts into practical delivery plans
Requirements
- Experience building, deploying, and maintaining machine learning and generative AI solutions (e.g., LLMs, embeddings, retrieval patterns, vector search, model fine‑tuning)
- Strong MLOps knowledge across continuous integration, deployment, monitoring, and evaluation of AI/ML models
- Experience with AI infrastructure (orchestration pipelines, GPU compute, model hosting services) and scalable AI data structures (including vector databases/semantic search)
- Deep software engineering capability in .NET Core/C# and modern back-end engineering, with flexibility to work across languages such as Python, Go, or TypeScript
- Strong understanding of distributed systems, microservices, cloud-native patterns, and modern data stores (SQL and NoSQL)
- Secure coding mindset with awareness of cybersecurity risks, particularly around AI and data privacy
- Proven technical leadership (principal engineer/tech lead/architect level), with a track record of mentoring and influencing engineering direction
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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