3 of 3 Distributed Computing Jobs in the City of London

Data Scientist

Hiring Organisation
N Consulting Global
Location
City of London, Greater London, UK
like Hadoop or Spark. • Familiarity with data visualization tools such as Tableau or PowerBI. • Understanding of reinforcement learning. • Knowledge of neural networks. • Experience with distributed computing. • Familiarity with software development methodologies like Agile or Scrum. Required Experience ...

Senior Java Software Engineer

Hiring Organisation
CipherTek Recruitment
Location
City of London, London, United Kingdom
Spring MVC, and related technologies. Database Technologies: Strong SQL skills; experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and/or NoSQL solutions. Distributed Systems: Understanding of distributed computing concepts and technologies (e.g., microservices, caching, clustering). Testing Frameworks: Experience with JUnit, Mockito, or similar testing ...

Data Engineer

Hiring Organisation
Searchability NS&D
Location
City of London, Greater London, UK
transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

Machine Learning Engineer

Hiring Organisation
BioTalent
Location
City of London, London, United Kingdom
intersection of ML infrastructure, model development, and system design Close collaboration with research and product engineering teams Exposure to large-scale training, inference, and distributed compute challenges High autonomy in a technically ambitious, fast-moving environment Competitive compensation and long-term growth opportunities Your Responsibilities Build and maintain scalable … components for internal platforms and tooling Translate research prototypes and notebooks into production-ready systems Own and improve ML infrastructure components, including data pipelines, distributed compute, and experiment tracking Collaborate closely with cross-functional teams to support end-to-end ML workflows You Will Bring ...