Senior Machine Learning Engineer

7 Days Old

Job Description

Senior ML Engineer:

Up to 115k


Xcede is partnering with one of Europe’s leading applied AI organisations.


The company collaborates with governments and major enterprises to address complex, high-impact challenges using machine learning and advanced data science techniques.


One of the standout aspects of this organisation is its reputation as a tech unicorn valued at over £1bn, recognised for delivering safe and practical AI solutions at scale.


They are currently looking to bring in Senior Machine Learning Engineers to join their Financial Services unit.


The ideal candidate will have experience working as an ML Engineer with Large Language Models (LLMs), particularly across the application, deployment, and productionisation of ML systems in financial environments.


In this role you will:

  • Design and deploy machine learning systems that operate in real-world production environments
  • Build scalable ML tooling and infrastructure to support the efficient development, testing, and deployment of models
  • Collaborate closely with data scientists, engineers, and business stakeholders to tackle key client challenges
  • Contribute to technical architecture decisions, ensuring ML systems are scalable, reliable, and effective
  • Establish and promote best practices for deploying ML systems at scale
  • Act as a technical advisor for clients and partners, translating complex ML concepts into practical solutions


Requirements:

  • Strong understanding of the end-to-end machine learning lifecycle
  • Strong Python programming skills
  • Experience working with cloud infrastructure such as AWS
  • Hands-on experience with Docker and Kubernetes for scalable deployments
  • Solid grounding in machine learning concepts, statistics, and probability
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Comfortable working in fast-paced environments with ownership over delivering solutions


If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861

Apply
Location:
City Of London
Job Type:
FullTime
Category:
Engineering

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