1 to 25 of 74 Distributed Computing Jobs in the UK excluding London

or similar), and containerisation (Docker) Strong knowledge of cloud platforms like Azure, AWS or GCP for deploying and managing ML models Familiarity with data engineering tools and practices, e.g., distributed computing (e.g., Spark, Ray), cloud-based data platforms (e.g., Databricks) and database management (e.g., SQL) Strong communication skills, capability to present technical concepts to technical and non-technical More ❯

engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of … to work remotely, in an office, or a mix of both. Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable … have experience in data modelling, architecture, and processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals More ❯

engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of … to work remotely, in an office, or a mix of both. Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable … have experience in data modelling, architecture, and processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals More ❯

engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of … to work remotely, in an office, or a mix of both. Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable … have experience in data modelling, architecture, and processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals More ❯

engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of … to work remotely, in an office, or a mix of both. Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable … have experience in data modelling, architecture, and processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals More ❯

engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of … to work remotely, in an office, or a mix of both. Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable … have experience in data modelling, architecture, and processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals More ❯

maintenance and support Collaborate with cross-function teams and demonstrate great communication skills We're excited if you have 5+ years of experience in delivery multi-tier, highly scalable, distributed web application Deep understanding in software architecture, object-oriented design principles, and data structures Extensive experience in developing microservices using Java, Python Experience in distributed computing frameworks More ❯

a related field, or equivalent practical experience. Proven experience as a software engineer, with at least 3 years in a technical leadership role. Strong proficiency in C#, Relational Databases, distributed computing, middleware and integration patterns. Demonstrated ability to lead and mentor a team of engineers, fostering a collaborative and productive work environment. Experience in managing complex projects, with More ❯

in query optimization, memory management, and scaling KDB+ solutions. Strong knowledge of market data, trading systems, or real-time analytics. Experience with data pipelines, cloud-based KDB+ deployments, and distributed computing. Ability to lead projects, optimize system architecture, and mentor junior developers. Preferred Qualifications (for all levels): Experience with high-frequency trading, quantitative finance, or IoT applications. Knowledge of More ❯

Have Requirements Familiarity with big data tools and technologies, such as Hadoop, Kafka, and Spark. Familiarity with data governance frameworks and validation standards in the energy sector. Knowledge of distributed computing environments and model deployment at scale. Strong communication skills, with the ability to clearly explain complex validation results to non-technical stakeholders. At GE Vernova - Grid Automation More ❯

you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data, leveraging Amazon's vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly … or journals - Experience programming in 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 in professional software development Amazon is More ❯

.NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and More ❯

.NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and More ❯

tools like Tableau or Power BI. Nice-to-Have: Familiarity with big data tools like Hadoop, Kafka, Spark. Knowledge of data governance and validation standards in energy. Experience with distributed computing and large-scale deployment. Strong communication skills for explaining complex validation results. At GE Vernova - Grid Automation, you'll work on innovative projects shaping the future of More ❯

in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience. Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters). Ideal: Kubernetes and Docker experience for scalable, reproducible workflows. Working at Lila Sciences, you would have access to More ❯

to deployment, including model evaluation and ongoing monitoring. Desirable Skills Familiarity with cloud platforms such as Azure (e.g., Azure ML, Data Factory). Experience in big data environments and distributed computing frameworks (e.g., Spark). Knowledge of business intelligence tools and their integration with data science workflows. Prior experience mentoring or leading a team of data scientists. Why More ❯

Deep experience with Python, SQL, and/or Scala. Knowledge of two or more common Cloud ecosystems (Azure, AWS, GCP) with expertise in at least one. Deep experience with distributed computing with Apache Spark. Working knowledge of CI/CD for production deployments. Working knowledge of MLOps. Familiarity with designing and deploying performant end-to-end data architectures. More ❯

Prototype and testing AI models before full-scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. More ❯

Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an … analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. More ❯

Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical … subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. #J-18808-Ljbffr More ❯

Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an … analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. More ❯

Spark and Scala. Hands-on experience with Hadoop. Proficiency with data processing frameworks like Kafka and Spark. Experience with database engines such as Oracle, PostgreSQL, Teradata, Cassandra. Understanding of distributed computing technologies, approaches, and patterns. Nice to have Experience with Data Lakes, Data Warehousing, or analytics systems. We offer Opportunity to work on cutting-edge projects. Collaboration with More ❯

Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested More ❯

Able to document well processes and perform Knowledge Sharing sessions with the rest of the team. You're good with: Have strong knowledge in Scala. Knowledge or familiarity of Distributed Computing like Spark/KStreams/Kafka. Connect and Streaming Frameworks such as Kafka. Knowledge on Monolithic versus Microservice Architecture concepts for building large-scale applications. Familiar with More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯