Sr. Machine Learning Engineer London, UK (Basé à London)

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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