1 to 25 of 40 Distributed Computing Jobs in England

ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We're based across London, Cambridge and Bristol, with projects and … scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities, machine learning for molecules and proteins More ❯

with Python to build, train, and evaluate models 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. More ❯

understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings. Delivery - Engagements include short 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 will include migration of existing applications and development of new applications using AWS cloud services. About … 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 ❯

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. … with Python to build, train, and evaluate models 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Scientific publication track record at top-tier AI/ML More ❯

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. … with Python to build, train, and evaluate models 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Scientific publication track record at top-tier AI/ML More ❯

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. … with Python to build, train, and evaluate models 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques More ❯

PowerBI, Plot.ly, matplotlib) Programming OOP DevOps Web technologies HTTP/S REST APIs Experience with time-series databases (e.g., InfluxDB, kdb+, TimescaleDB) and real-time data processing. Familiarity with distributed computing and data warehousing technologies (e.g., Spark, Snowflake, Delta Lake). Strong understanding of data governance, master data management, and data quality frameworks. Solid grasp of web technologies More ❯

using Language Models to solve a range of predictive task involving text Ability to quickly acquire new technical skills Experience of working with large and complex data sets and distributed computing Good understanding of mathematical foundations of Machine Learning approaches Able to translate business problems into problems that can be solved with Data Science Strong communication and data More ❯

using Language Models to solve a range of predictive task involving text Ability to quickly acquire new technical skills Experience of working with large and complex data sets and distributed computing Good understanding of mathematical foundations of Machine Learning approaches Able to translate business problems into problems that can be solved with Data Science Strong communication and data More ❯

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 PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for More ❯

or alternative investment environment, working directly with investment team on tech delivery Strong understanding of Python, with libraries/frameworks such as Pandas, NumPy, and PySpark Strong understanding of distributed computing, with experience using frameworks like Databricks Strong experience with Azure or other cloud platforms (AWS) Strong experience building data pipelines or ETL tools and Orchestration frameworks such More ❯

define and implement data architectures (Data Lake, Lake House, Data Mesh, etc). Engagements include short on-site projects proving the use of AWS Data services to support new distributed computing solutions that often span private cloud and public cloud services. - Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding … that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global … 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 ❯

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. … nothing we can't achieve in the cloud. Basic Qualifications Experience with building machine learning models for business application experience Experience in algorithms and data structures, optimization, parallel and distributed computing, deep learning architecture, high-performance computing Experience with hands-on training, fine-tuning, devaluating, and deploying transformer models in production PhD degree in computer science, engineering 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 ❯

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. More ❯

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. … will always be there for you on another device. 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 Manage seamless backup management and opt-ins into 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 ❯

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 ❯

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 ❯

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. More ❯

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. … the world, through our Backup by Google One service. 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. Equal opportunity Google is proud to be an equal More ❯

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. … help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments - Experience developing software code in one or more programming languages (java, python, etc.) PREFERRED QUALIFICATIONS - 5+ years of IT implementation experience - Experience and technical expertise (design … and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. More ❯

to ensure alignment with business goals and best practices Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases, Virtualization Technology Perspective Worked in multiple large, distributed mission critical applications as an architect. Proven experience as architect and engineering lead in Data & Analytics stream. In-depth understanding of data structure principles and data platforms Used Architecture … of industry trends and incorporates new concepts Advanced understanding of AI concepts , LLMS, RAG, Agentic apps Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines. Should have excellent knowledge in data warehouse/data lake technology and business intelligence concepts Should have good More ❯

to ensure alignment with business goals and best practices Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases, Virtualization Technology Perspective Worked in multiple large, distributed mission critical applications as an architect. Proven experience as architect and engineering lead in Data & Analytics stream. In-depth understanding of data structure principles and data platforms Used Architecture … of industry trends and incorporates new concepts Advanced understanding of AI concepts , LLMS, RAG, Agentic apps Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines. Should have excellent knowledge in data warehouse/data lake technology and business intelligence concepts Should have good More ❯

to ensure alignment with business goals and best practices Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases, Virtualization Technology Perspective Worked in multiple large, distributed mission critical applications as an architect. Proven experience as architect and engineering lead in Data & Analytics stream. In-depth understanding of data structure principles and data platforms Used Architecture … of industry trends and incorporates new concepts Advanced understanding of AI concepts , LLMS, RAG, Agentic apps Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines. Should have excellent knowledge in data warehouse/data lake technology and business intelligence concepts Should have good More ❯