AI & Emerging technologies

Senior Consultant/Manager, AI/ML Engineer

Baringa

London · Greater London · United Kingdom

Overview

In this role you will lead AI-enabled engagements within client teams, blending technical architecture with delivery leadership. You will bring SME-level depth in AI/ML, Platform/Cloud, or Software Engineering to create measurable client value. You’ll balance advisory work with hands-on delivery, guiding teams to production-scale AI solutions. This is an opportunity to shape transformative AI programs in a collaborative, people-first culture that values technical rigor and client success.

Responsibilities
  • Own and lead engagements end-to-end, from shaping opportunities to delivery governance and team leadership
  • Apply SME-level depth in AI/ML Engineering, Platform Engineering, or Software Engineering to deliver value
  • Balance advisory duties with hands-on technical delivery across client environments
  • Contribute to production-scale AI solutions including design, deployment, and governance
  • Collaborate with cross-functional teams to translate client needs into scalable AI/ML architectures
Key requirements
  • 1-5 years in technology consulting, software engineering, or AI/ML
  • SME-level depth in at least one domain among Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering
  • Clear, confident communicator capable of conveying complex topics to technical and non-technical audiences
  • Master’s degree or equivalent depth; or relevant professional certifications
  • Prior experience as a forward-deployed or embedded engineer in a client environment; exposure to regulated industries (energy, financial services, or public sector)
  • strong communication
  • leadership and team-inspiration
  • client advisory mindset
  • Agentic AI/LLM Engineering (RAG, prompt engineering, secure enterprise deployment)
  • Machine Learning Engineering (feature engineering, model training, MLOps, monitoring)
  • Platform & Cloud Engineering (AWS, Azure, GCP; containerisation; IaC; CI/CD)

Reference: WJ-747_31168248

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