1 to 25 of 80 Permanent Distributed Computing Jobs in London

systems programming languages (e.g. C/C Rust) is optional but can be beneficial. Strong working knowledge of at least one large-scale data processing technology (e.g. High-performance computing, distributed computing), databases and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases ) Strong interpersonal and communication skills (fluent in English, verbal and written More ❯

Direct message the job poster from Synechron Synechron are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. Responsibilities Develop and implement machine learning … models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze 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. Requirements: 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 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. … leadership 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 … area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to 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. … leadership 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 … area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to More ❯

that processes massive datasets, integrates complex geospatial data, and offers real-time or near-real-time insights. You will have the opportunity to work on cutting-edge technologies, including distributed computing, cloud infrastructure, and machine learning, to deliver a world-class platform that powers critical data-driven applications. Key Responsibilities: Platform Development & Optimization: Design, develop, and optimize the … or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows and streaming analytics to ensure fast, low-latency decision-making capabilities. Cloud & Distributed Systems: Work with cloud platforms (AWS, GCP, Azure) to deploy and scale big data systems. Utilize containerization (e.g., Docker, Kubernetes) and cloud-native services to ensure flexible and scalable … engineering, with a focus on building and optimizing large-scale platforms for big data, data analytics, or geospatial data. Strong background in developing big data applications, data pipelines, and distributed systems. Proven experience working with geospatial data, including GIS, satellite imagery, and remote sensing data, and integrating it into data-driven applications. Familiarity with geospatial data formats (e.g., GeoJSON More ❯

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 ❯

concepts and best practices (e.g., 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 skills and the ability to More ❯

agents in-product - to join their growing Data Engineering ream. Why You'll Love This Role: Tech at Scale : Work with hundreds of millions of data points daily, using distributed systems and advanced machine learning. Award-Winning Product : Recognised globally for innovation in AI. Remote-First Culture : Work from anywhere in the UK, with flexible hours and full autonomy … to deploy ML models. Use Gen AI tools to accelerate development and improve code quality. Contribute to the development of Gen AI agents in-product. Apply best practices in distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems More ❯

agents in-product - to join their growing Data Engineering ream. Why You'll Love This Role: Tech at Scale : Work with hundreds of millions of data points daily, using distributed systems and advanced machine learning. Award-Winning Product : Recognised globally for innovation in AI. Remote-First Culture : Work from anywhere in the UK, with flexible hours and full autonomy … to deploy ML models. Use Gen AI tools to accelerate development and improve code quality. Contribute to the development of Gen AI agents in-product. Apply best practices in distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems 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 ❯

such as MySQL, Postgres, etc. 2+ years of experience with NoSQL databases like Bigtable, Cassandra, HBase, etc. Experience with schema design and data modeling. Strong understanding of large-scale distributed data processing. Experience with developing extract-transform-load (ETL). Experience with distributed messaging systems like Kafka and RabbitMQ. Experience with distributed computing frameworks like Apache 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 ❯

Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data modelling and system architecture Excellent problem-solving More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with More ❯

working in regulated environments such as pensions, insurance, or financial services is highly advantageous. Desirable * Exposure to actuarial modelling or financial risk analysis. * Familiarity with Azure Databricks, Synapse, or distributed computing tools. * Experience applying model explainability and responsible AI techniques. Rewards & Benefits This role offers a comprehensive and flexible benefits package designed to support wellbeing and personal development More ❯

working in regulated environments such as pensions, insurance, or financial services is highly advantageous. Desirable * Exposure to actuarial modelling or financial risk analysis.* Familiarity with Azure Databricks, Synapse, or distributed computing tools.* Experience applying model explainability and responsible AI techniques. Rewards & Benefits This role offers a comprehensive and flexible benefits package designed to support wellbeing and personal development More ❯

or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control Experience: 1+ years in ML engineering or data engineering Mindset: Self-motivated with a growth mindset, adaptable to fast-paced startup environment, comfortable with ambiguity More ❯

or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control Experience: 1+ years in ML engineering or data engineering Mindset: Self-motivated with a growth mindset, adaptable to fast-paced startup environment, comfortable with ambiguity More ❯

DAY You'll be part of a global team that designs and maintains the firm's 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 … experience with diagnostic/tracing tools. • Impressive communication skills are essential, as the role will entail significant interaction with different departments across the firm. • Experience maintaining infrastructure related to distributed systems, high-performance computing, large-scale storage, and a working knowledge of network protocols is preferred. Apply to Job You can choose to drop your resume to complete More ❯

as the primary eyes and ears to the PE community on behalf of AWS and Amazon. • Handle a high volume of engagements and the fast pace of the cloud computing market • Some relevant business level technical knowledge is required, such as: database systems, core distributed computing concepts, fundamentals of cloud computing and virtualization, machine learning, storage More ❯

Web Services, giving customers access to the same cloud technology we built to serve millions of shoppers on Amazon Web Services (AWS) is a secure cloud services platform, offering computing power, database storage, content delivery, and other functionality to help businesses scale and grow. Millions of businesses are using AWS cloud solutions to build sophisticated applications with increased flexibility … a similar role as a Technical Account Manager, Consultant, Solutions Architect, Platform Engineer, Systems Engineer, Cloud Architect etc. - Demonstrated operational experience in Resilience, Observability, Security, and Optimisation of cloud computing environments. - Expertise in areas such as Compute, Data Infrastructure, DevOps, Big Data/Analytics, Security, Cloud Architecture, or Applications Development in a distributed systems environment - External customer-facing … scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP - Operational experience in migrating to and/or implementing best practices for Enterprise-class distributed computing environments 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 More ❯

term strategic partnerships in support of key markets. - Grow the business to develop an independent territory. - Handle a high volume of engagements and the fast pace of the cloud computing market - Experienced with account management and solution oriented business development. - Relevant technical knowledge such as: fundamentals of cloud computing and virtualization, database systems, core distributed computing … 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 ❯

application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like TDD, BDD, Performance/Load 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 ❯