Senior AI & Data Engineering Leader — Energy & Commodities

Publicis Sapient

Greater London

On-site

GBP 170,000 - 230,000

Full time

11 days ago
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Benefits offered by this job

Inclusive workplace
Learning & development
Competitive compensation
Flexible working
Health benefits
Paid leave
Wellness program

Job summary

Publicis Sapient is seeking a Senior Director of Engineering for Energy & Commodities with a strong focus on machine learning, data, and cloud engineering. You will lead small, highly skilled teams to turn ideas into production-ready solutions that deliver measurable business value.

You’ll partner with clients and senior stakeholders to shape opportunities, design approaches, and demonstrate how AI and modern engineering unlock value, while growing the business through scalable patterns and

Qualifications

  • Strong software engineering foundation and hands-on design/build experience.
  • Deep ML, data engineering and applied AI knowledge beyond GenAI.
  • Cloud platforms AWS/Azure/GCP with multi-cloud exposure.
  • Experience with real-time data streaming and distributed processing.
  • Ability to work with clients and translate tech into business value.
  • Ability to lead small, high-performing teams.

Responsibilities

  • Partner with Energy & Commodities clients to shape opportunities.
  • Turn ideas into production-ready ML/data solutions with small teams.
  • Develop reusable patterns and IP to grow the business.
  • Communicate with CxO stakeholders and engineers.

Skills

Software engineering foundation
ML & AI
Cloud engineering
Distributed systems
Client-facing communication
MLOps
Solution design

Tools

AWS
Azure
GCP
CRM systems
SAP
Trading technology

Job description

Publicis Sapient is seeking a Senior Director of Engineering for Energy & Commodities with a strong focus on machine learning, data, and cloud engineering. You will lead small, highly skilled teams to turn ideas into production-ready solutions that deliver measurable business value.

You’ll partner with clients and senior stakeholders to shape opportunities, design approaches, and demonstrate how AI and modern engineering unlock value, while growing the business through scalable patterns and

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