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AI Platform Engineer

McGregor Boyall
London
1 year ago
Applications closed

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Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x)

Machine Learning Engineer

AI Platform Engineer
Generative AI
London

Overview:

  • Leading financial institution searching for an AI Platform Engineerto join an impressive, bleeding-edge Technology team that converts ambitious concepts and brings them to life by engineering cutting-edge products and deploying them on a global scale!
  • As an AI Platform Engineer, you will be involved in worldwide Generative AI and LLM integrations and transformations. Opportunity for major impact on project zero-to-one. Join an innovative team pushing the boundaries of AI!
  • Keywords: Engineering, AI, Machine Learning, Generative AI, Rust, Clojure, Haskell, Elixir, Kubernetes

Details

  • Day rate: £800-£850/day - Inside IR35
  • Start date: ASAP
  • Duration: end date 12/01/2026 (highly likely to be extended)
  • Hybrid working - 3 days/week in the office

The Team:

The team's primary focus lies in cutting-edge technology and engineering fields, including generative AI, cloud computing, cybersecurity, contemporary application stacks (utilizing Golang and Gatekeeper), open-source solutions, and the latest advancements within the Kubernetes ecosystem.


Responsibilities of a AI Platform Engineer:

  • Work with quant developers and subject matter experts
  • Design and build high-quality, reliable, scalable software
  • Apply knowledge of AI/ML and LLMs to practical business problems
  • Develop Python code and interfaces (APIs and services)
  • Ensure effective platform architecture and scalability


Required Skills and Experience for a AI Platform Engineer:

  • Extensive knowledge and experience with Python and related toolchains
  • Proficient in AI/ML, with a focus on working with LLMs and a passion for leveraging emerging technologies
  • Hands-on experience with CI/CD and MLOps tools and frameworks (e.g., MLflow, W&B)
  • Skilled in building and managing large-scale platforms
  • Strong expertise in distributed systems
  • Solid system architecture skills
  • Familiarity with modern functional languages like Scala, Clojure, Rust, or Elixir
  • Thorough understanding of RESTful API design
  • Experience working with Kubernetes
  • Development experience with at least one major public cloud provider


If your experience matches the role, click apply and let's catch up!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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