1 to 25 of 51 Distributed Computing Jobs in the UK

Microsoft Fabric, optimizing data performance, and supporting scalable, high-quality data engineering practices. The role requires strong technical expertise in NoSQL databases, distributed computing, and modern cloud development practices. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB, including SQL API and MongoDB API. Design and implement … integration with Spark-based solutions. Experience working with Cosmos DB SDKs in technologies such as .NET, Java, Python, or Node.js. Strong understanding of distributed computing concepts and Apache Spark architecture. Hands-on experience developing data pipelines using PySpark. Experience with Pytest and automated testing frameworks. Strong understanding ...

Microsoft Fabric, optimizing data performance, and supporting scalable, high-quality data engineering practices. The role requires strong technical expertise in NoSQL databases, distributed computing, and modern cloud development practices. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB, including SQL API and MongoDB API. Design and implement … integration with Spark-based solutions. Experience working with Cosmos DB SDKs in technologies such as .NET, Java, Python, or Node.js. Strong understanding of distributed computing concepts and Apache Spark architecture. Hands-on experience developing data pipelines using PySpark. Experience with Pytest and automated testing frameworks. Strong understanding ...

Microsoft Fabric, optimizing data performance, and supporting scalable, high-quality data engineering practices. The role requires strong technical expertise in NoSQL databases, distributed computing, and modern cloud development practices. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB, including SQL API and MongoDB API. Design and implement … integration with Spark-based solutions. Experience working with Cosmos DB SDKs in technologies such as .NET, Java, Python, or Node.js. Strong understanding of distributed computing concepts and Apache Spark architecture. Hands-on experience developing data pipelines using PySpark. Experience with Pytest and automated testing frameworks. Strong understanding ...

Microsoft Fabric, optimizing data performance, and supporting scalable, high-quality data engineering practices. The role requires strong technical expertise in NoSQL databases, distributed computing, and modern cloud development practices. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB, including SQL API and MongoDB API. Design and implement … integration with Spark-based solutions. Experience working with Cosmos DB SDKs in technologies such as .NET, Java, Python, or Node.js. Strong understanding of distributed computing concepts and Apache Spark architecture. Hands-on experience developing data pipelines using PySpark. Experience with Pytest and automated testing frameworks. Strong understanding ...

computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing (HPC). This metadata-forward, CI/CD-driven platform represents and enables the entire application and analysis lifecycle including interactive development and explorations (notebooks … business problems, Responsible for development of key components of a hybrid on-prem/cloud compute platform for both interactive and scalable batch computing and establishing of processes and workflows to transition existing HPC users and teams to this platform Responsible for code-driven environment, applications, and container/ ...

Senior Pipeline Engineer London, United Kingdom Posted 9 months ago Tech stack Python Distributed Computing Responsibilities Contribute to the evolution of our MetaHuman infrastructure architecture. Qualifications Expert-level Python programming skills with demonstrated experience building content creation pipelines Experience with distributed computing systems Compensation Competitive Role ...

design, automation, and maintenance Hands‐on experience with data engineering tools and storage solutions (e.g., ADLS, Spark, Databricks, SQL/NoSQL databases) Experience with distributed computing and big data processing frameworks such as PySpark Knowledge of infrastructure‐as‐code tools such as Terraform and Helm Advanced/Specialist … networking fundamentals Excellent communication skills with the ability to translate complex technical concepts into business terms Experience working in agile, cross‐functional, and globally distributed teams Continuous learning mindset with a focus on emerging technologies and innovation Nice-to-Have Experience with AWS or GCP ML platforms (e.g., SageMaker ...

problem-solving skills and the ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...

spatial analytics. Experience with Agentic and Gen AI projects. Experience with energy system modelling, grid analytics, demand forecasting or energy market data. Familiarity with distributed computing, Spark, PySpark or cloud-native data platforms. Experience developing models for planning, scenario analysis or operational decision support. Knowledge of data governance ...

deploying machine learning models and statistical analysis • Strong proficiency in Python and SQL, with experience in Spark SQL • Familiarity with cloud platforms and distributed computing tools such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical ...

deploying machine learning models and statistical analysis • Strong proficiency in Python and SQL, with experience in Spark SQL • Familiarity with cloud platforms and distributed computing tools such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical ...

deploying machine learning models and statistical analysis • Strong proficiency in Python and SQL, with experience in Spark SQL • Familiarity with cloud platforms and distributed computing tools such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical ...

deploying machine learning models and statistical analysis • Strong proficiency in Python and SQL, with experience in Spark SQL • Familiarity with cloud platforms and distributed computing tools such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical ...

documents. Quickly understand complex systems/code and own key pieces of the system, including delivered quality. Diagnose and troubleshoot complex problems in a distributed computing environment. Establish the best practices in quality, performance & architecture within the team. Mentor Software Engineers & Senior Software Engineers and provide technical leadership. … Platform. About You Desire to build products that solve complex technical problems for end users. 7‐11 years experience developing highly scalable distributed applications, products, and services in Java and Golang. Design and develop REST, gRPC, and GraphQL APIs. Working knowledge of SQL and No‐SQL database technologies. Solid ...

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 ...

Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Preferred Qualifications Experience using Unix/Linux Experience ...

surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large‐scale simulations. Contributions to research (internal notes, publications … patents, conference talks) and engagement with the open‐source scientific computing ecosystem. Benefits Competitive total rewards package including base salary, commission‐based pay, and discretionary incentive compensation. Benefits include comprehensive health care coverage, on‐site health and wellness programmes, a retirement savings plan, backup childcare, tuition reimbursement, mental health ...

surrogate modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics, and transaction cost modeling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large-scale simulations. Contributions to research (internal notes, publications … patents, conference talks) and engagement with the open-source scientific computing ecosystem. Compensation & Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation ...

Commercial DB Engines to Open Source Engines like Aurora-PostgreSQL/MySQL or RedShift, DynamoDB. *Consult for optimal design of database environments, analysing complex distributed production deployments, and making recommendations to optimize performance. *Develop innovative solutions to complex business and technology problems Be a UK national and able … stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services ...

Commercial DB Engines to Open Source Engines like Aurora-PostgreSQL/MySQL or RedShift, DynamoDB. Consult for optimal design of database environments, analysing complex distributed production deployments, and making recommendations to optimize performance. Develop innovative solutions to complex business and technology problems Be a UK national and able … stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver … stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services ...

desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver … stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services ...