51 to 75 of 271 Distributed Computing Jobs in England

AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. We are looking for a Machine Learning Engineer to join the DeepPCB team and help push … engineers to bring ideas to life. Responsibilities: Develop scalable and efficient machine learning algorithms to tackle PCB place-and-route challenges. Adapt and optimize ML models for large-scale distributed computing environments (e.g., GPUs, multi-node clusters). Build, test, and deploy robust production-level ML systems integrated into the DeepPCB platform. Collaborate with research scientists, software engineers … thrive in a fast-paced, collaborative, and dynamic environment. Nice to haves: Prior experience with PCB design, EDA tools, or related optimization problems. Hands-on experience in high-performance computing environments (e.g., Kubernetes, Ray, Dask). Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle). Expertise in related fields such as Computer Vision 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 - Experience building complex software systems, especially involving deep learning, machine learning More ❯

SQL, PERL/scripting . Skilled Data Engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in navigating enterprise Cloud applications using distributed computing frameworks as Apache Spark, Hadoop, Hive. Working knowledgeoptimizing database performance, scalability, ensuring data security and compliance. Education & Preferred Qualifications Bachelor's/Master's Degree in a 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 ❯

emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software More ❯

Exceptional Python programming skills, with a focus on building scalable and efficient systems Experience with graph (DAG) representation, analysis, and processing using tools like NetworkX Experience with open source distributed computing tools in Python, such as Dask or Ray Proficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks Solid understanding More ❯

SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding of mathematical foundations of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with 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 ❯

and tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to … productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership You'll … field experience - 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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Experience in professional software development Our inclusive More ❯

visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience … application experience - 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 - Master's degree or above in computer science, machine learning, engineering, or related fields - PhD in computer science, computer engineering, or … related field - Experience with large scale distributed systems such as Hadoop, Spark etc. - fundamentals on a broad set of ML approaches and techniques - fundamentals in problem solving and algorithm design. - interest in learning, researching, and creating new technologies with commercial impact Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability 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 Consultants 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 … years of technical specialist, design and architecture experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 7+ years of consulting, design and implementation of serverless distributed solutions experience 5+ years of software development with object-oriented language experience 3+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience Preferred Qualifications More ❯

Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an … analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. More ❯

Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical … subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. #J-18808-Ljbffr More ❯

Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an … analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. More ❯

Have at least 5 years of professional experience in software development. Experience in Kotlin (the services you will be responsible for are mainly written in Kotlin). Experience with distributed systems. Be able to work with PM/QA/DevOps as equal partners throughout the whole lifecycle of the feature/product. Be able to write good-quality … and secure code, preferably be familiar with static code analysis tools. Have excellent analytical, conceptual, and communication skills in spoken and written English. Experience building distributed computing and enterprise-wide systems. Experience with any of the following: Docker, microservices architecture (hands-on), Spring Cloud, Redis, Python. Experience with the AWS suite of cloud development tools. Knowledge of Java More ❯

Spark and Scala. Hands-on experience with Hadoop. Proficiency with data processing frameworks like Kafka and Spark. Experience with database engines such as Oracle, PostgreSQL, Teradata, Cassandra. Understanding of distributed computing technologies, approaches, and patterns. Nice to have Experience with Data Lakes, Data Warehousing, or analytics systems. We offer Opportunity to work on cutting-edge projects. Collaboration with 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 ❯

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. … 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 Amazon is an equal opportunities employer. We believe passionately that employing More ❯

an investigative mindset. Owning projects and tasks, and working effectively within a team. Documenting processes and sharing knowledge with the team. Preferred skills: Strong knowledge of Scala. Familiarity with distributed computing frameworks such as Spark, KStreams, Kafka. Experience with Kafka and streaming frameworks. Understanding of monolithic vs. microservice architectures. Familiarity with Apache ecosystem including Hadoop modules (HDFS, YARN More ❯

Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested More ❯

spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally … Linux environment Application performance profiling and optimization Bonus Points: eFX development experience in a low latency, zero GC environment Knowledge of institutional encodings (FIX, SBE) Fault tolerant, high availability, distributed computing Knowledge of low latency messaging (e.g. Aeron, 29West) Knowledge of Crypto What We Offer (UK): Competitive base salary and discretionary bonus Competitive paid time off Company-paid More ❯

Able to document well processes and perform Knowledge Sharing sessions with the rest of the team. You're good with: Have strong knowledge in Scala. Knowledge or familiarity of Distributed Computing like Spark/KStreams/Kafka. Connect and Streaming Frameworks such as Kafka. Knowledge on Monolithic versus Microservice Architecture concepts for building large-scale applications. Familiar with More ❯

in various jurisdictions, ensuring adherence to legal standards. Experience in developing and executing customer retention strategies. Understanding of custom web data collectors and stream processing e.g. clickstreams, event hubs, distributed computing. Experience with Databricks, Spark, Hadoop or other big data technologies. Working with unstructured data and defining web data models. A strong understanding of tracking pixels and web tagging More ❯

Distributed Computing Application Engineer - Systematic Hedge Fund - London Our client, a leading systematic hedge fund, is seeking a Distributed Computing Application Engineer to join their London-based team. This role involves collaborating across multiple business units to architect and optimise large-scale, compute-intensive work flows spanning global locations. You will work with cutting-edge platforms … such as Ray and YellowDog, driving the integration and support of distributed computing solutions to enhance performance and scalability in complex environments. Key Responsibilities: Partner with business teams to embed distributed computing into core workflows. Optimise applications for high performance on distributed platforms. Provide architectural and technical leadership in the design and development of distributed systems. Design, implement, and manage distributed computing solutions using Ray and YellowDog. Required Skills & Experience: Bachelor's degree in Computer Science, Engineering, or a related field. Deep understanding of loosely and tightly coupled workloads. Hands-on experience with HPC platforms and job/resource scheduling. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform More ❯

Social network you want to login/join with: Application Engineer - Distributed Computing, london col-narrow-left Client: Selby Jennings Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Distributed Computing Application Engineer - Systematic Hedge Fund - London Our … client, a leading systematic hedge fund, is seeking a Distributed Computing Application Engineer to join their London-based team. This role involves collaborating across multiple business units to architect and optimise large-scale, compute-intensive work flows spanning global locations. You will work with cutting-edge platforms such as Ray and YellowDog, driving the integration and support of … distributed computing solutions to enhance performance and scalability in complex environments. Key Responsibilities: Partner with business teams to embed distributed computing into core workflows. Optimise applications for high performance on distributed platforms. Provide architectural and technical leadership in the design and development of distributed systems. Design, implement, and manage distributed computing solutions More ❯