1 to 25 of 32 Distributed Computing Jobs in the UK

you will play a pivotal role in the Data Solutions team at UKAEA, conducting support, research, and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machine learning, and Exascale technologies. We work at the forefront of … technical concepts to diverse audiences. Ways To Stand Out From The Crowd... - Experience with machine learning frameworks and their application in computer graphics and computing systems. - Knowledge of high-performance computing, distributed computing, or cloud-based architectures. - Hands-on experience with Nvidia Omniverse SDKs, PIXAR's more »

Advanced Visualisation Scientist Abingdon Rd, Culham, UK Full-time Salary: £38,620 (inclusive of MPP) + excellent benefits including outstanding pension Division: Computing Site Location: UKAEA Culham, Oxfordshire Confirmed Grade: Level 4 Department: Data Solutions Company Description By 2050, the planet could be using twice as much electricity compared … to the future of fusion energy. As an Advanced Visualisation Scientist , you will play a pivotal role in the Data Solutions team within the Computing Division at UKAEA, conducting research, development, and support roles covering diverse areas such as cloud computing, high-performance computing, algorithm development, artificial … technical concepts to diverse audiences. Ways To Stand Out From The Crowd... - Experience with machine learning frameworks and their application in computer graphics and computing systems. - Knowledge of high-performance computing, distributed computing, or cloud-based architectures. - Hands-on experience with Nvidia Omniverse SDKs, PIXAR's more »

with Database Systems Researchers. This position provides a strong opportunity to collaborate with top academic institutions and researchers on projects spanning database technologies, cloud computing, AI, and more. This is a permanent opportunity based onsite in Edinburgh, Scotland Key Responsibilities for this Database Researcher position: Conduct Research : Explore and … and system design. Skilled in system-level programming languages (e.g., C/C++, Rust, Java, Go). Knowledgeable in areas such as parallel algorithms, distributed computing, graph theory, and hardware-software co-design. Excellent English communication skills and a drive to achieve outstanding results. Experience with database systems … required. Keywords: Database Research/Database Researcher/R&D/System Design/C/C++/Rust/Java/Go/Distributed Computing/Parallel Algorithms/Graph Theory/Hardware-Software Co-design/Low-level Systems If you are interested in this Database more »

position that will be eligible for annual renewal so it will be a long-term opportunity. Agency Worker/PAYE contract RESPONSIBILITIES: Provide cloud computing expertise and support for cloud-native solutions. Implement cloud security best practices. Translate business needs into technical solutions. Design cloud architectures with a focus … languages (Bash, PowerShell). They also have experience with DVCS tools (Git, Mercurial) and container technologies (Kubernetes, OpenShift, Fargate, ECS). Solid understanding of distributed computing, data and application architectures, basic networking, security, and infrastructure. Possess proven production experience with cloud platforms, particularly Microsoft Azure, and can integrate more »

globally. They have a brand new role within this team for a Senior Software Engineer to work on their cloud native platform and build distributed computing systems using the latest technologies. This role will involve being part of a global tight knit team and will require an innovative … business, mentor junior team members and build robust data systems that are cleanly written, documented and tested. This role will see you work on distributed systems using Python, AWS, Kubernetes, Docker, CI/CD pipelines, SQL, Postgres and other OO languages like Rust. Key Requirements: A minimum of … years’ experience in software engineering A polyglot programmer with deep experience in Python Passionate about all things data Experienced with AWS String distributed programming experience who has working experience with Kafka Strong Docker and Kubernetes experience A computer science degree or similar Has previously worked in Financial Services (not more »

of large language models. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency. Qualifications: We are … seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed. Strong software … learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). Key Words: Machine Learning/LLM/Large Language Model/PyTorch/High Performance Computing/HPC/GPU/TPU/Deepspeed/AI/OpenAI/Distributed Systems By applying to this role, you understand that more »

inference of these models. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency. Please note that … of professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed. Strong software engineering acumen with expertise in software design/architecture, particularly in Python. Understanding of the latest AI research and ability to efficiently implement these systems. Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). more »

inference of these models. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency. Please note that … professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed. Strong software engineering acumen with expertise in software design/architecture, particularly in Python. Understanding of the latest AI research and ability to efficiently implement these systems. Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). more »

strong passion for technology, software development, and mathematics. Proficiency in one or more programming languages (C++, Python, R). Experience in areas such as Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design , and Web Development . Excellent quantitative and analytical abilities. Bachelor's, Master more »

s global R&D activity, conducts research and innovation – achieving together whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use High Performance Computing to accelerate applications at the intersection of Artificial Intelligence and Genomics. Your … role will involve: Analyzing and profiling code to find hotspots Using parallel and distributed computing techniques to accelerate algorithms, in particular those dealing with large scale graph computations Optimization for heterogeneous (CPU + GPU) architectures or for Fujitsu’s Arm-based A64FX processor Your experience To be suitable … approach, adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with High Performance Computing techniques such as MPI, OpenMP, Intel TBB etc High proficiency in one or more programming languages A track record of writing academic publications Excellent more »

continuous integration practices. Required Skills and Qualifications: Proficiency in Scala and PySpark for data processing and ETL development. Strong understanding of Apache Spark and distributed computing frameworks. Strong understanding of data structures, algorithms, and software engineering best practices. Excellent problem-solving and analytical skills. more »

with expertise in Databricks, Hadoop/Spark. Strong programming skills in Python, Scala, or SQL, with knowledge of CI/CD platforms. Proficiency with distributed computing frameworks and cloud platforms (AWS, Azure, Google Cloud). Familiarity with data modeling, database systems, and SQL optimisation. Excellent problem-solving, communication more »

meet the evolving needs of the business. Hands-on Development: Engage in full-stack development, from data ingestion and processing to building high-performance, distributed computing systems. Your work will directly impact the accuracy and efficiency of the firm’s risk management capabilities. Performance Tuning and Optimization: Continuously … hands-on development experience, with a focus on building risk management systems, particularly VaR engines. Strong background in working with large-scale, high-performance computing environments. Programming Expertise: Advanced programming skills in Python, with a strong emphasis on performance optimization and distributed computing. Experience with other relevant languages more »

a Linux environment 3+ years of professional experience in software engineering and at least 1+ year as a quantitative developer Experience with large-scale distributed computing technologies Experience developing data-intensive APIs for research pipelines, or similar Able to thrive in a start-up environment, take ownership of more »

well as NoSQL Strong experience in writing testable, modular and extensive backend code A solid understanding of system design Experience with data processing and distributed computing frameworks such as Spark a big plus Experience with frontend development and frameworks, such as NodeJS is a bonus Experience in or more »

high-performance tech company where you will be given lots of opportunities to grow technically then this is for you. ✔ This company use simulation, distributed computing and machine learning to recreate real-time dynamics and in this position you will have the opportunity to take technical ownership in more »

to interact with senior stakeholders. A keen interest in the microstructure of global equity, futures, FX, options, and debt markets. Familiarity with large-scale distributed computing technologies. Understanding of real-time market data feeds and FIX protocol applications, particularly in algorithmic trading. Excellent opportunity with a high-performing more »

projects within Machine Learning, Data Engineering, Streaming and Data Science. We provide our clients with the backbone for modern analytics through expertise in DevOps, distributed computing, machine learning, and the adoption of proven open-source projects. We specialise in backend development, infrastructure automation, and performance engineering for data more »

of the team responsible for the build-out and support of the platform of a Major Financial services company. Responsibilities Advanced, bespoke SDLC tooling Distributed compute clusters in production DB setup and optimization in multiple technologies. Debugging and profiling tools Helping other teams design and optimize their code Required more »

be responsible for ensuring successful outcomes and delivery. The Unix Technical Manager position reports to the Head of Infrastructure Engineering. Key Responsibilities: Lead the Distributed Compute team and manage all operations related to IT infrastructure and service delivery within the service line’s scope. Act as the Technical SME more »

areas: transactional and/or analytical database management systems, query processing and optimisation, storage engines, indexing engines, concurrent/parallel algorithms and data structures, distributed computing, parallel programming frameworks, benchmarking and performance analysis, graph theory and graph algorithm design, programming/query languages, computer architecture, vectorised processing, operating … design. Have participated in the implementation of (aspects of) a database management system or systems of a similar low-level nature (e.g., operating systems, distributed workflow systems, compilers). Have published papers at top peer-reviewed conferences or journals in fields related to the above (desired but not essential more »

Software Engineer Strong Python proficiency GDAL experience 2+ years building tools for less technical users Experience working with Earth Observation use-cases Experience with distributed computing infrastructure Geospatial libraries and datasets expertise Google Cloud Platform proficiency Salary: Up to £90,000 based on experience Location: Fully remote (UK more »

Transactional and/or analytical database management systems Query processing and optimisation Storage engines or indexing engines Concurrent/parallel algorithms and data structures Distributed computing, parallel programming frameworks, benchmarking and performance analysis Graph theory and graph algorithm design Programming/query languages, computer architecture, vectorised processing Operating more »

pre-training process. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow . Experience handling and processing large datasets. Knowledge of distributed computing and model optimization techniques. Curiosity, creativity, and a passion for pushing the limits of AI. Why Join Us? Work on game-changing more »

trading and research infrastructure. This team designs and maintains the firms largest compute infrastructure which includes operating system platforms, software development tooling, high-performance computing, networking and storage for research and trading. You’ll have the opportunity to work on a wide variety of technology initiatives in a distributed computing environment with a primary focus on Linux-based systems. This includes, workload scheduling design and implementation, fleet management, clustered file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications, metrics collection and data mining more »