1 to 25 of 143 Remote Distributed Computing Jobs in the UK

Distributed Systems Engineer - Global Quant Trading Firm | Up to £400k TC A globally recognised and fast-growing quantitative trading firm are searching for a Distributed Systems Engineer to help design and optimise their distributed computing environment. You’ll be working in a highly complex and technical … workloads spanning significant numbers of nodes and concurrent tasks Design, build, and manage systems with tools like Ray and YellowDog Optimise application performance on distributed platforms Provide architectural guidance on distributed computing design and development Drive efficiency and scalability across the platform, with a focus on ML … Resource scheduling experience i.e. Yellowdog Cloud platform proficiency (any provider) Experience with large scale systems (1k+ Nodes, 10k+ tasks) Experience monitoring/troubleshooting a distributed environment Advance Ray experience for ML pipelines, tuning, distributed execution Python and Conda proficiency Docker + Kubernetes experience Knowledge of networking (TCP/ More ❯

Distributed Systems Engineer - Global Quant Trading Firm | Up to £400k TC A globally recognised and fast-growing quantitative trading firm are searching for a Distributed Systems Engineer to help design and optimise their distributed computing environment. You’ll be working in a highly complex and technical … workloads spanning significant numbers of nodes and concurrent tasks Design, build, and manage systems with tools like Ray and YellowDog Optimise application performance on distributed platforms Provide architectural guidance on distributed computing design and development Drive efficiency and scalability across the platform, with a focus on ML … Resource scheduling experience i.e. Yellowdog Cloud platform proficiency (any provider) Experience with large scale systems (1k+ Nodes, 10k+ tasks) Experience monitoring/troubleshooting a distributed environment Advance Ray experience for ML pipelines, tuning, distributed execution Python and Conda proficiency Docker + Kubernetes experience Knowledge of networking (TCP/ More ❯

ll help shape product vision, pricing, and enablement strategies that bring our solutions to life. You'll lead one of our key areas-edge computing-driving the development of next-gen compute solutions, including edge databases, containerization, and other distributed computing technologies. Working in a small, collaborative … products that millions rely on, you'll love what we're building. What will you do? Drive the product vision and strategy for edge computing , helping shape next-gen compute solutions like edge databases, containerization, and distributed technologies, all aligned with bunny.net 's long-term goals. Collaborate with … with a highly technical background who has taken on product responsibilities, formally or informally. Proven experience in at least one of the following: edge computing, distributed systems, containerization, or cloud infrastructure . Deep understanding of internet infrastructure fundamentals (DNS, HTTP/S, TLS, TCP/IP, etc.). More ❯

interpersonal competencies in your role. 20% - Provide global technical support for developing strategies, planning, coordination, scripting, and implementing releases, upgrades, or changes across our distributed computing environment. Participate in various small to medium-scale projects of varying complexities. Your Duties and Responsibilities Provide technical support for management and … changes to our Linux distributed computing environment. Perform capacity planning, performance monitoring, tuning, and prediction. Support infrastructure related to Linux operating systems, following proper change management procedures. Participate in after-hours work and on-call rotations to resolve server-related issues. Assist less experienced administrators with technical guidance. More ❯

a large and growing direct presence in the market as well. Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive … and deliver the development plan. Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates. Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes. Stay abreast of market conditions, emerging issues and the regulatory environment. More ❯

machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS … machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance computing (CPU/GPU clusters); Parallelised/distributed training for large/foundation models. Ideally >1 years of experience in … a data-driven role, with exposure to: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS More ❯

Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring a Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold’s scientific computing team to deliver foundational technology … behind our algorithms and machine learning models, and tools that enable KoBold’s talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based … and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution More ❯

Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring a Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold's scientific computing team to deliver foundational technology … behind our algorithms and machine learning models, and tools that enable KoBold's talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based … and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution More ❯

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 More ❯

versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Strong problem-solving More ❯

Linux-based systems, CI/CD pipelines, GitHub Actions, MyBatis, Maven. Advanced experience with FIX Engines/Routers (Raptor, Catalyst, Chronicle, or similar). Distributed Systems: Experience with distributed computing , clustering , and scalability strategies . Soft Skills: Excellent communication and interpersonal skills to work effectively with both More ❯

/Monthly Responsibilities: Build and run responsibilities for GenAI ensuring robust support folding into standard incident processes as the products mature. Help work with distributed teams across the business on how to consume AI/ML capabilities. Hands on code, build, govern, and maintain. Working as part of a … Microsoft Azure Machine Learning or GCP Cloud ML Engine, Azure Data Lake, Azure Databricks or GCP Cloud Dataproc. Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or Apache Flink. Experience scaling an “API-Ecosystem”, designing, and implementing “API-First” integration patterns. Experience working More ❯

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 More ❯

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 More ❯

based systems, CI/CD pipelines, GitHub Actions, MyBatis, Maven Advanced experience with FIX Engines/Routers (Raptor, Catalyst, Chronicle, or similar tools). Distributed Systems: Experience with distributed computing , clustering , and scalability strategies . Soft Skills: Excellent communication and interpersonal skills to work effectively with both More ❯

based systems, CI/CD pipelines, GitHub Actions, MyBatis, Maven Advanced experience with FIX Engines/Routers (Raptor, Catalyst, Chronicle, or similar tools). Distributed Systems: Experience with distributed computing , clustering , and scalability strategies . Soft Skills: Excellent communication and interpersonal skills to work effectively with both More ❯

knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to More ❯

knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to More ❯

knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to More ❯

permanent basis in a UK remote, work-from-home capacity. We provide the backbone for modern analytics to our clients through expertise in DevOps, distributed computing, machine learning, and adoption of proven open-source projects. Our specialization includes backend development, infrastructure automation, and performance engineering for data workloads More ❯

permanent basis in a UK remote, work from home capacity. We provide the backbone for modern analytics to our clients through expertise in DevOps, distributed computing, machine learning and adoption of proven open source projects. We specialise in backend development, infrastructure automation and performance engineering for data workloads More ❯

Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred/Additional Qualifications Experience with Synapse, SQL, Spark and other distributed computing technologies. Development experience as a data engineer/architect with data integration, data migration, and data warehousing. Customer-facing experience. Experience with More ❯

depth knowledge of NLP techniques, including tokenisation, embeddings, transformers, and attention mechanisms. Good statistical/data skills, especially with large-scale data processing and distributed computing. Desirable qualifications include: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. Experience with cloud platforms such More ❯

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. … 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 More ❯

teams to integrate pricing model and workflow enhancements within the ACE application. There will be exposure to a wide range of technological frameworks, including distributed computing architecture. Key responsibilities will include identifying and implementing optimizations with respect to the execution run-time and consolidating development across asset classes. More ❯