Lead AI Engineer - Generative AI & Machine Learning

Metrica Recruitment
London, UK
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Apache Hadoop Python (Programming Language) Machine Learning Tensorflow Software Deployment SQL Databases Pytorch
+7 more
Large Language Models Prompt Engineering Apache Spark IT Architecture Generative AI Deployment Automation Machine Learning Operations

Job description

As a Lead AI Engineer you’ll shape the architecture, development and operational delivery of advanced AI and Generative AI solutions. You’ll work directly with senior stakeholders to translate business challenges into scalable technical strategies, while leading engineering teams through complex production deployments. The role spans LLMs, RAG, modern AI frameworks, cloud platforms, MLOps and responsible AI. You’ll also influence technical direction, evaluate emerging technologies and create reusable approaches that strengthen delivery across major client engagements.

  • Lead AI architecture and Generative AI strategies aligned with client business objectives.
  • Design and deliver production-grade AI pipelines across data, models, evaluation and deployment.
  • Architect scalable solutions using LLMs, RAG, vector databases and generative AI techniques.
  • Oversee secure AI deployments, evaluation frameworks, monitoring and responsible AI guardrails.
  • Influence senior stakeholders and translate complex AI concepts into practical business outcomes.
  • Guide cross-functional teams, sharing technical expertise and establishing reusable engineering practices.

Benefits and Perks

You’ll join an environment that combines flexible working, varied client exposure and opportunities to broaden your technical and leadership influence. The role offers access to complex AI programmes and specialist engineering teams.

  • London-based hybrid working across office, client and remote environments.
  • Exposure to international organisations and complex AI and technology transformation programmes.
  • Opportunities to work with specialist AI, engineering and consulting teams.
  • Professional and technical development through complex delivery and collaboration with experienced colleagues.
  • An inclusive culture focused on wellbeing, collaboration, personal contribution and career progression.

Requirements

We’re looking for an experienced AI architect who combines deep technical capability with strong consulting and stakeholder skills.

Must-Have

  • Enterprise experience delivering complex AI, Machine Learning or Generative AI solutions into production.
  • Expert Python skills with strong experience across PyTorch, TensorFlow and modern AI frameworks.
  • Deep knowledge of LLMs, prompt engineering, RAG, vector databases, fine-tuning and evaluation.
  • Strong understanding of MLOps, LLMOps, CI/CD, monitoring, governance and AI security.
  • Experience across AWS, Azure or GCP, ideally with a cloud-agnostic architecture perspective.
  • Confident communication with senior stakeholders and multidisciplinary technical teams., * Experience in regulated or data-rich industries such as financial services or healthcare.
  • Thought leadership demonstrated through patents, publications or meaningful open-source contributions.
  • Experience with LangChain, LangGraph, Spark, Hadoop or large-scale SQL environments.
  • Relevant cloud or Machine Learning certifications.

About the company

We’re working with a global professional services organisation delivering complex technology and transformation programmes for major international clients. This London-based role sits within a specialist AI and Data engineering environment, with hybrid working across office, client and remote settings. You’ll work alongside experienced engineering, AI and consulting teams, with significant exposure to varied industries, emerging technologies and senior decision-makers.

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