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Sr. Machine Learning Engineer London, UK

Galytix Limited
London
3 weeks ago
Applications closed

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Data Scientist III, ROW AOP

AI & Data Scientist

Industry Analyst / Data Scientist - Market Growth & Financial Modelling

Galytix (GX) is delivering on the promise of AI.

GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.

GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.

As a Sr. Machine Learning Engineer, you will need to:

  • Develop a state of the art data science and ML runtime stack in a multi-cloud environment.
  • Lead on software engineering and software design for ML components.
  • Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture.
  • Manage the infrastructure and pipelines needed to bring models and code into production.
  • Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
  • Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production.
  • Apply machine learning algorithms and libraries.
  • Research and implement best practices to improve the existing machine learning infrastructure.
  • Collaborate with data engineers, application programmers, and data scientists.

Desired skills:

  • Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences.
  • Self-starter with excellent communication and time management skills.
  • Strong computer programming skills, with knowledge of Python, R, and Java.
  • Experience scaling machine learning on data and compute grids.
  • Proficiency with Kubernetes, Docker, Linux, and cloud computing.
  • Experience with Dask, Airflow, and MLflow.
  • MLOps, CI, Git, and Agile processes.

Why you do not want to miss this career opportunity?

  • We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them.
  • Customer-centric organisation with innovation at the core of everything we do.
  • Capitalize on an unparalleled career progression opportunity.
  • Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
  • Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.


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National AI Awards 2025

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