1 to 25 of 200 Distributed Computing Jobs in the UK excluding London

consistent data from external APIs and ensuring seamless incorporation into existing systems. Big Data Management and Storage : Utilize PySpark for scalable processing of large datasets, implementing best practices for distributed computing. Optimize data storage and querying within a data lake environment to enhance accessibility and performance. ML R&D : Collaborate on model prototyping and development, identifying the most relevant … 3+ years of experience in applying machine learning in a commercial setting, with a track record of delivering impactful results. Extensive programming skills in Python, with a specialization in distributed computing libraries such as PySpark. Extensive experience with PyTorch (preferred) and/or TensorFlow. Hands-on experience with deploying machine learning models in production using cloud platforms, especially More ❯

as Python, R, MATLAB, or C++. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture. Nice-to-Have Requirements Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala). Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in relevant sectors. Experience with deep More ❯

scale data pipelines, ETL processes, and data lakes using Databricks. Demonstrable experience with cloud services, all three public clouds (AWS, GCP, Azure) is beneficial. Solid understanding of Spark architecture, distributed computing, and cloud-based data engineering principles. Proficiency in programming languages such as Python or SQL. Strong leadership skills with experience managing and growing high-performing technical teams. More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) · Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc ) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with 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 ❯

at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data modelling and system architecture Excellent problem-solving 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 ❯

Skills Data extraction from PDF documents leveraging python packages like Pypdf, Camelot and OCR based services like Azure Document intelligence would be advantageous. Familiarity with Azure cloud platform and distributed computing frameworks (e.g., Apache Spark) is a plus. Experience in building and working with knowledge graphs, such as Neo4j, or GraphDB would be desirable. What We Will Offer More ❯

Optimise market data pipelines and trade execution engines to improve performance and reduce latency. Ensure system reliability, scalability, and low-latency performance in a fast-paced trading environment. Utilise distributed computing and high-performance computing techniques to enhance algorithmic execution. Integrate with exchange APIs (REST/WebSocket/FIX) for real-time data processing and trading execution. … Required Qualifications: Strong understanding of quant trading logic, market structure, and execution strategies. Proficiency in C++ and Python, with experience in high-performance computing, multi-threading, and distributed systems. Experience with algorithmic trading systems in crypto, equities, FX, or derivatives at least 5 years. Knowledge of financial markets, risk management, and portfolio optimisation. Solid understanding of data structures … s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or related fields. Preferred Qualifications: Experience with low-latency trading systems and high-frequency trading (HFT). Background in distributed computing, machine learning, or AI-driven trading models. Familiarity with cloud computing, Kubernetes, or containerised environments. Strong debugging, profiling, and performance optimisation skills. What We Offer: Competitive 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 ❯

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 ❯

Tableau or Power BI. Nice-to-Have Skills Knowledge of big data tools such as Hadoop, Kafka, Spark. Understanding of data governance and validation standards in energy. Experience with distributed computing and large-scale deployment. Strong communication skills for explaining complex validation results. Join GE Vernova Grid Automation to work on innovative projects shaping the future of energy. 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 ❯

developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including More ❯

from concept to deployment, including model evaluation and ongoing monitoring. 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 CI/CD for production deployments Working knowledge of MLOps Familiarity with designing and deploying performant end-to-end data architectures Experience More ❯

developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including More ❯

developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including More ❯

language processing (NLP) or computer vision (CV). Knowledge of MLOps and model deployment pipelines. Familiarity with AI ethics and responsible AI principles. Experience working with large datasets and distributed computing. Contributions to open-source AI projects. WE OFFER: The benefits depend upon the location where you apply from, so feel free to check with the recruiter. A flexible 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 ❯

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve … training and inference performance on AMD GPUs. Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems. Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to … scaling and throughput. Software Engineering: Proficient skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions. High-Performance Computing: Proficient experience in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability. Compiler Optimization: Solid understanding of compiler theory and tools like LLVM and ROCm More ❯

years. Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and … speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Work in an agile environment to deliver high quality software. Basic Qualifications Graduated less than 24 months ago or about to complete a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at … Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis. Preferred Qualifications Previous technical internship(s) if applicable Experience with distributed, multi-tiered systems, algorithms, and relational databases Experience in optimization mathematics such as linear programming and nonlinear optimisation Ability to effectively articulate technical challenges and solutions Adept at handling More ❯