14 of 14 Permanent Distributed Computing Jobs in London

workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years in a software or data engineering role, with at least 3 years specifically … rather than "scripts." You anticipate edge cases, data drift, and system failures before they happen. Problem Solving: A proven track record of troubleshooting complex distributed systems and optimizing resource-intensive algorithms. What We Value Reliability: You believe that a model is only as good as its uptime ...

advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). ...

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

Experience and Skills . Expert-level knowledge of Azure Data Services and Databricks within enterprise environments . Deep understanding of Delta Lake, Medallion architecture, distributed compute, Lakehouse patterns, data modelling and performance optimisation . Strong Python, PySpark and SQL experience, with hands-on implementation of CI/ ...

Work With Azure Data Factory, Data Lake, Key Vault, Azure Functions Databricks, Delta Lake, Unity Catalog, PySpark, Spark SQL Medallion architecture, Lakehouse patterns, distributed compute CI/CD pipelines using Azure DevOps Cross‐functional teams in underwriting, actuarial, delegated authority, exposure management, reinsurance, finance and regulatory reporting Architects, SMEs ...

level hands-on experience with Azure Data Services and Databricks in enterprise, highly regulated environments. Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns, distributed compute, data modelling, and performance optimisation. Strong programming skills in Python, PySpark, and Spark SQL, with experience implementing CI/CD pipelines (Azure DevOps ...

cloud environments, CI/CD pipelines, and deployment systems that support high-performance ML workloads. Key Responsibilities Design and maintain scalable cloud infrastructure for distributed computing and ML workloads Build and optimise CI/CD pipelines to enable reliable deployments and automated testing Manage containerised environments using Docker … Jenkins) Familiarity with monitoring tools such as Prometheus or Grafana Scripting experience (Python, Bash, or similar) Experience supporting ML, GPU, or high-performance computing environments is a plus What’s on Offer Competitive salary + equity Flexible hybrid working Generous holiday allowance Learning & development budget Pension scheme and additional ...

build and manage robust data pipelines that convert raw, diverse data sources (batch, streaming, real-time and unstructured) into reliable, analysis-ready datasets, using distributed computing techniques to process data at scale. Responsibilities: Design and build data ingestion pipelines and orchestration tooling. Develop database schemas and data models. ...

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

drive satisfaction and foster continuous improvement across our product suite. As a Senior Backend Engineer, you will lead the design and implementation of distributed systems, take ownership of critical non-functional requirements—including scalability, security, and reliability—and mentor fellow engineers while remaining hands-on in development. Your expertise … product-driven environment, and want to shape technology at scale. What you'll do: Architect, develop, test, and debug scalable backend services within distributed systems. Own and deliver key non-functional requirements, including scalability, availability, performance, and security. Author and maintain comprehensive tests (unit, integration, functional) to ensure exceptional ...

C++, SQL, C#, and VBA. Python is also desirable. Solid foundation in numerical methods, including Monte Carlo simulations and optimization algorithms. Experience with distributed computing & inter-process communication. Proficiency in multi-threaded programming. Familiarity with Microsoft Office, VC++, VBA, SQL, Access, Oracle. Knowledge of web technologies such ...

organizational precision. In-depth knowledge of the quantitative tech stack , including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing. Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds. Expertise ...

supporting Counterparty Credit Risk (CCR), trade processing, analytics, and regulatory reporting. The ideal candidate has deep hands‐on expertise in Spark, Scala, Python, and distributed data systems, with strong domain knowledge of financial and risk data. Hybrid working: The places that you work from day to day will vary … client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Design and build distributed batch and real‐time data pipelines using Spark (Core/SQL/Streaming) in Scala and Python. Architect scalable ingestion, transformation, and enrichment frameworks ...

technical Product Manager to take a complex AI orchestration platform from 0 1 . This is a builder role, working closely with engineering on distributed compute, APIs, and AI/ML infrastructure — not a people-management position. What you’ll do Own the product roadmap and execution … orchestration software Partner closely with engineers on distributed systems, APIs, and platform design Ship developer-facing features supporting AI/ML deployment, inference, and monitoring Ensure reliability, security, and scalability at institutional-grade standards What we’re looking for Circa 3–7 years’ or more experience as a Product ...