AI Delivery Lead - Data Science & Generative AI

Everson Recruitment

Greater London

Hybrid

GBP 78,000 - 130,000

Full time

8 days ago
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Job summary

Everson Recruitment seeks a Data Science & AI Delivery Lead to oversee day-to-day AI delivery workstreams, ensuring technical excellence and timely delivery across projects. You will drive architectural decisions, oversee production readiness, and mentor a growing team of data scientists and AI engineers.

The role requires hands-on Python, experience with Azure AI services, MLOps, and strong leadership to foster a high-performing team culture within a fast-paced insurance tech environment.

Qualifications

  • Proven track record delivering AI/ML projects from concept to production.
  • Strong Python and ML library expertise.
  • Experience leading technical delivery teams and projects.

Responsibilities

  • Day-to-Day Delivery Leadership: own operational running of AI delivery workstreams and alignment with priorities.
  • Project Management: own technical delivery from concept through production with security and scalability in mind.
  • Technical Oversight & Contribution: provide guidance on design, model selection, and architecture.
  • Review code and outputs; contribute hands-on Python when needed during critical phases.
  • Support Generative AI solutions including RAG architectures and Azure OpenAI services.
  • Ensure robust MLOps practices: versioning, testing, deployment, monitoring.

Skills

Python
ML libraries
Databricks
MLflow
Spark
Generative AI
MLOps
Azure Cloud
Leadership
Communication
Project management

Tools

Databricks
Spark
Git
CI/CD
LangChain
Vector databases

Job description

Everson Recruitment seeks a Data Science & AI Delivery Lead to oversee day-to-day AI delivery workstreams, ensuring technical excellence and timely delivery across projects. You will drive architectural decisions, oversee production readiness, and mentor a growing team of data scientists and AI engineers.

The role requires hands-on Python, experience with Azure AI services, MLOps, and strong leadership to foster a high-performing team culture within a fast-paced insurance tech environment.

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