51 to 75 of 122 Distributed Computing Jobs in the UK

skills required to triage and resolve complex production issues and operate well in a fast-paced, high-pressure environment. A propensity to automate manual tasks, appreciation for large-scale, distributed computing systems, and a willingness to develop using a wide range of languages and frameworks will be necessary to succeed in the role. As part of a global … to quickly identify scope and impact of issues during high-pressure situations Solid communication and interpersonal skills Ability to multi-task and prioritize tasks effectively Preferred Qualifications Experience with distributed systems design, maintenance, and troubleshooting. Hands-on experience with debugging and optimizing code, as well as automation. Knowledge of financial markets FIX protocol knowledge ABOUT GOLDMAN SACHS At Goldman More ❯

skills required to triage and resolve complex production issues and operate well in a fast-paced, high-pressure environment. A propensity to automate manual tasks, appreciation for large-scale, distributed computing systems, and a willingness to develop using a wide range of languages and frameworks will be necessary to succeed in the role. As part of a global … to quickly identify scope and impact of issues during high-pressure situations Solid communication and interpersonal skills Ability to multi-task and prioritize tasks effectively Preferred Qualifications Experience with distributed systems design, maintenance, and troubleshooting. Hands-on experience with debugging and optimizing code, as well as automation. Knowledge of financial markets FIX protocol knowledge ABOUT GOLDMAN SACHS At Goldman More ❯

Face, LangChain, RAG pipelines). Strong programming skills in Python, SQL, and familiarity with cloud platforms (Azure, AWS, GCP). Expertise in data architecture, ETL/ELT pipelines, and distributed computing frameworks (e.g., Spark, Databricks). Excellent communication, stakeholder management, and team leadership skills. Nice to have (advantagous) Experience with MLOps, CI/CD for ML, and model More ❯

Face, LangChain, RAG pipelines). Strong programming skills in Python, SQL, and familiarity with cloud platforms (Azure, AWS, GCP). Expertise in data architecture, ETL/ELT pipelines, and distributed computing frameworks (e.g., Spark, Databricks). Excellent communication, stakeholder management, and team leadership skills. Nice to have (advantagous) Experience with MLOps, CI/CD for ML, and model More ❯

Azure. Software Engineering: Hands-on experience with foundational software engineering practices. Database Proficiency :Strong knowledge of SQL for querying and managing data. Scalability: Experience scaling computations using GPUs or distributed computing systems. ML Integration :Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python). Soft Skills: Strong communication and presentation skills to More ❯

ML-specific operators AI model serving experience with modern inference servers and API gateways for AI applications Nice to have: Infrastructure as Code experience with Terraform, Ansible, or CloudFormation Distributed computing experience with Databricks, Ray, or Spark for large-scale AI workloads AI safety & governance experience with model evaluation, bias detection, and responsible AI practices Multi-modal AI More ❯

expertise in Spark ML to work with a leading financial organisation on a global programme of work. The role involves predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimise machine learning solutions for large-scale data processing and predictive analytics. Role: Develop and implement machine learning … models using Spark ML for predictive analytics Design and optimise training and inference pipelines for distributed systems (e.g., Hadoop) Process and analyse large-scale datasets to extract meaningful insights and features Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines Evaluate model performance and fine-tune hyperparameters to improve accuracy and efficiency Implement scalable … solutions for real-time and batch inference Monitor and troubleshoot deployed models to ensure reliability and performance Stay updated with advancements in machine learning frameworks and distributed computing technologies Experience: Proficiency in Apache Spark and Spark MLlib for machine learning tasks Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering) Experience with distributed systems like Hadoop More ❯

to design and build scalable, high-performance data solutions. Data Modelling & Warehouse Design : Proficiency in data modelling, warehouse design, and database optimization, with examples of logical and physical models. Distributed Data Systems : Experience in deploying, managing, and tuning distributed systems for optimal reliability and performance. Coding & Development Practices : Demonstrated coding expertise with modular, reusable, and efficient code in … engineering problems. Architecture for Scale : Design scalable, complex data architectures that provide cross-team value. Data Modelling & Governance : Establish standards in logical and physical data modelling and data governance. Distributed Computing : Employ parallel processing, streaming, and batch workflows to manage large data volumes effectively. ETL & Workflow Automation : Build ETL processes and automated workflows for efficient data movement. System More ❯

bold vision and lead teams through high impact programs using new technology? Would you like to gain the deepest customer and partner insights on maximizing the value of cloud computing technologies? At AWS, we're hiring a highly technical Senior Cloud Consultant to build innovative solutions with our Global customers and partners. Our consultants deliver meaningful business outcomes to … hands-on delivery teams to accelerate their adoption of new technologies and practices. Delivery: Engagements may include on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration of existing applications and development of new applications using AWS cloud services. Insights … experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 … and throughput. Software Engineering: S kill ed in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions. High-Performance Computing: Solid e xperience d in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability. Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM More ❯

Computer Science or a related technical field. 1 year of experience with data structures or algorithms. Experience designing, testing, delivering, and monitoring scalable high-availability software in a cloud computing environment. Experience working on highly scalable, database-backed, distributed systems and communicating with internal and external partners to create system design. Ability to work and achieve results without … products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. … qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this More ❯

effectively across technical and non-technical teams Bonus Points For: Experience with Airflow, Airbyte, or other orchestration tools Familiarity with ingestion tools like Fivetran Experience working with Spark or distributed computing systems Exposure to AWS and broader cloud infrastructure Knowledge of reverse ETL workflows and tooling What Success Looks Like: You're delivering clean, well-modelled data quickly More ❯

Comfortable writing code in either Python or Scala 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 Design and deployment of performant end More ❯

through writing, visualisations, or presentations Strong organisational skills with experience in balancing multiple projects Familiarity with Posit Connect, workflow orchestration tools (e.g., Airflow), AWS services (e.g., SageMaker, Redshift), or distributed computing tools (e.g., Spark, Kafka) Experience in a media or newsroom environment Agile team experience Advanced degree in Maths, Statistics, or a related field What's in it More ❯

RAG). Familiarity with feature stores, vector databases, or embedding pipelines. Understanding of data quality, lineage, and governance best practices. Exposure to cloud platforms (AWS, Azure, or GCP) and distributed compute environments. More ❯

your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional … technical designs, and ensuring code quality and best practices. Android is Google's open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. … We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. Responsibilities Help grow and manage a high performing team More ❯

Experience in solving Vehicle Routing Problems (VRP) and/or building large scale delivery network simulations Experience in any of the following areas: algorithms and data structures, parallel and distributed computing, high-performance computing Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants More ❯

teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services Public Sector ANZ are hiring a highly technical senior Cloud Architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive … pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using … experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 … and throughput. Software Engineering: S kill ed in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions. High-Performance Computing: Solid e xperience d in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability. Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM More ❯

to expert in one or more technical areas. Design, implement and deliver performant and scalable algorithms based on state-of-the-art machine learning and neural network methodologies using distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.). Conduct rigorous data analysis and statistical modelling to explain and improve models. Report results clearly and efficiently, both internally and … on application. Nice to haves: Knowledge in areas around immunology, proteomics, and computer vision. Knowledge in molecular biology, biochemistry, structural biology, or a related discipline. Experience with high-performance computing or MLOps. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud More ❯

Physics, Computer Science, or related field from a top-tier university. Desirable Skills Knowledge of: Equity and Equity Derivatives instruments Risk measures: VaR, ES, P&L explain, sensitivity analysis Distributed computing and serialization techniques Cross-platform C++ development Excel for data analysis and reporting Ability to thrive in a fast-paced, multi-output environment. More ❯

Physics, Computer Science, or related field from a top-tier university. Desirable Skills Knowledge of: Equity and Equity Derivatives instruments Risk measures: VaR, ES, P&L explain, sensitivity analysis Distributed computing and serialization techniques Cross-platform C++ development Excel for data analysis and reporting Ability to thrive in a fast-paced, multi-output environment. More ❯

complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Be an ambitious builder, working up and down the stack, mixing software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications. Build reliable, high-throughput, low-latency microservices to power a diverse range of trading use cases Engage in the complete software … Proactively identify customer and infrastructure difficulties and drive corresponding solutions. WHAT YOU'LL BRING: 2+ years of hands-on Software Development experience within the trading domain on large scale distributed systems, primarily in Java or similar (Golang, Scala etc). Experience working in a Front-Office Trading environment and building financial/trading systems Comfortable in a fast-paced … environment FX and/or Crypto Trading experience Experience in building transactional systems backed by modern persistence technologies (Aurora, DynamoDB etc.) Experience with Agile development of distributed services, with a focus on robust software design, scalability and security. Experience building and deploying containerised applications into modern distributed computing environments (Kubernetes, Nomad etc.) Eagerness to work openly and More ❯

into stories and epics. Broad knowledge of IT including Windows/Linux and general networking Good understanding of networking (TCP and UDP) and multicast data delivery Good understanding of distributed server architectures running on Linux Highly Desirable Skills Understanding of ultra-low latency distributed computing environments. Familiarity with FIX trading protocol and market data systems. Previous experience More ❯

imitation learning Contribute to creating multi-robot systems and cross-embodiment learning techniques Drive innovation by publishing research and attending top conferences Engineer Background: Expertise in PyTorch or TensorFlow, distributed computing, and multi-GPU training Robotics experience, particularly in reinforcement/imitation learning Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization Ability to translate research papers More ❯