1 to 25 of 29 Parallel Processing Jobs in London

governance, and collaborate across cross-functional teams to deliver high-performance data platforms in production environments. This role requires a deep understanding of modern data engineering practices, real-time processing, and cloud-native solutions. Key Responsibilities: Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, unstructured, and real-time data feeds from diverse … sources. Manage data pipelines for analytics and operational use , ensuring data integrity, timeliness, and accuracy across systems. Implement data quality tools and validation frameworks within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize … tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Write and optimize complex SQL More ❯

governance, and collaborate across cross-functional teams to deliver high-performance data platforms in production environments. This role requires a deep understanding of modern data engineering practices, real-time processing, and cloud- solutions. Key Responsibilities: Data Pipeline Development & Management: Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, unstructured, and real-time data … diverse sources. Manage data pipelines for analytics and operational use , ensuring data integrity, timeliness, and accuracy across systems. Implement data quality tools and validation frameworks within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and … tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize More ❯

ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. Description Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s … ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. More ❯

to sprint content and influence development direction. V-Nova, a London-based IP and software company, is dedicated to improving data compression through innovative technologies based on AI and parallel processing for data, video, imaging, and point cloud compression, applicable across various sectors. This is achieved through deep-science R&D (over 1000 international patents) and product development More ❯

ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. More ❯

ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. More ❯

London based IP and software company, is dedicated to improving data compression by building a vast portfolio of innovative technologies based on the game-changing use of AI and parallel processing for data, video, imaging, and point cloud compression, with applications across several verticals. This is achieved through deep-science R&D (1000+ international patents) and the development More ❯

entirely on users’ machines, primarily utilizing AWS S3 storage, with support for Google Cloud and on-premise solutions. Focus on performance-critical areas such as algorithm efficiency, multi-threading, parallel processing, and network utilization. Collaborate closely with a small, agile team where engineers write their own requirements and there are no product managers, giving you direct influence over … ideal candidate will have: 5 to 7+ years of professional experience primarily in C++ development, with strong expertise in modern C++20. Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and More ❯

Haves • Knowledge of AWS cloud services (EKS, ECS, etc.) and Docker • Knowledge of C++ and CUDA, with experience writing custom kernels/operators • Proficiency in distributed AI training and parallel processing • Familiarity with recent Deep Learning and Computer Vision architectures • Data visualization skills • Excellent communication skills across diverse audiences We Offer We offer a competitive salary and benefits More ❯

environment while contributing to the development of new products and the enhancement of existing ones. About Us: V-Nova is a pioneering company at the forefront of hierarchical and parallel data processing, with deep expertise in AI, data compression, and extended reality (XR). Our innovations have already led to the creation of three international media standards — MPEG … compression, quality metrics, and color spaces. Knowledge of the end-to-end software development lifecycle, with experience collaborating across teams. Proficiency in Python and C++ software development. Experience with parallel processing programming. Understanding of standardization processes and standard-developing organizations (SDOs). Desirable Skills and Experience: Knowledge of objective Visual Quality (VQ) assessment techniques. Experience with TensorFlow, visual More ❯

will bring: 10+ yrs of total experience including recent 7+ years of experience in Data Warehouse solution with an emphasis on on Greenplum In depth knowledge of Greenplum’s parallel processing and integration with big data frameworks such as Hadoop Strong understanding of data warehousing concepts and analytical query design Strong understanding of Kubernetes architecture (nodes, pods, services More ❯

and point cloud compression, AI/ML applications, and algorithm optimization for performance and visual quality. About the company: MicroTECH Global collaborates with a company at the forefront of parallel data compression, with expertise in AI, data compression, and XR (extended reality). They have developed award-winning software transforming industries like TV, live events, entertainment, social networks, media … environment. Deep understanding of data compression technologies, quality metrics, and color spaces. Experience with the software development lifecycle and collaboration across teams. Proficiency in Python and C++. Experience with parallel processing programming. Knowledge of standardization processes and organizations. Beneficial to have: Knowledge of Visual Quality assessment techniques. Experience with TensorFlow, visual AI, or multimodal Generative AI. Experience in More ❯

compression, AI/ML Applications & algorithm optimization for both performance and visual quality. About the company: MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep expertise in AI, data compression & XR (extended reality) They have developed multiple award-winning software products that are transforming industries such as TV, Live event … lossless compression, quality metrics, and spaces. • Knowledge of the end-to-end software development lifecycle, with experience collaborating across teams. • Proficiency in Python and C++ software development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI More ❯

re Looking For Must Have Skills: • Strong understanding of data compression including lossy and lossless techniques, color spaces, and visual quality metrics • Proficiency in Python and C++ • Understanding of parallel processing programming • Solid grasp of the software development lifecycle • Familiarity with standard developing organizations (SDOs) Nice to Have Skills: • Experience with visual quality assessment techniques • Knowledge of TensorFlow More ❯

re Looking For Must Have Skills: • Strong understanding of data compression including lossy and lossless techniques, color spaces, and visual quality metrics • Proficiency in Python and C++ • Understanding of parallel processing programming • Solid grasp of the software development lifecycle • Familiarity with standard developing organizations (SDOs) Nice to Have Skills: • Experience with visual quality assessment techniques • Knowledge of TensorFlow More ❯

changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily . Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their … or commensurate experience in data structures/algorithms/distributed systems). Very good understanding of: web services/APIs and experience with integrating disparate systems multithreading, concurrency, and parallel processing technologies. distributed systems and scalability challenges. Team player skills - collaboration is key to building the best solutions. The ability to thrive in a fast paced, test-driven More ❯

re Looking For Must Have Skills: • Strong understanding of data compression including lossy and lossless techniques, color spaces, and visual quality metrics • Proficiency in Python and C++ • Understanding of parallel processing programming • Solid grasp of the software development lifecycle • Familiarity with standard developing organizations (SDOs) Nice to Have Skills: • Experience with visual quality assessment techniques • Knowledge of TensorFlow More ❯

party commercial and open-source codebases. Create clear, concise, verifiable technical specifications, APIs, and integration guides. Support third parties integrating V-Nova SDKs. Test, measure and quantify complex signal processing code, to validate performance and provide customer ready releases. Take personal responsibility for timescale estimation, task prioritisation and design accuracy. Qualifications Experience of working in video processing or … London based IP and software company, is dedicated to improving data compression by building a vast portfolio of innovative technologies based on the game-changing use of AI and parallel processing for data, video, imaging, and point cloud compression, with applications across several verticals. This is achieved through deep-science R&D (900+ international patents) and the development More ❯

latency, high-performance software to execute and refine research-driven trading models. Work closely with quantitative researchers to translate ideas into production-ready code. Enhance data pipelines for ingesting, processing, and analysing vast amounts of financial data. Optimise and deploy machine learning and statistical models in a trading environment. Improve execution logic by refining order routing, risk management, and … 3+ years of experience in software development, with a focus on quantitative research or trading systems. Strong programming skills in Python, C++, or Java Experience with high-performance computing, parallel processing, and low-latency systems. Knowledge of financial markets, market microstructure, or algorithmic trading. Proficiency in working with large datasets, time-series analysis, and statistical modelling. Strong understanding More ❯

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. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days in the office Responsibilities: Develop and implement machine learning models using Spark ML for … Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. Experience with deploying ML models in production environments. Understanding of distributed computing concepts and parallel processing. More ❯

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. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days in the office Responsibilities: Develop and implement machine learning models using Spark ML for … Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. Experience with deploying ML models in production environments. Understanding of distributed computing concepts and parallel processing. More ❯

Exasol accelerates insights from the world’s data. Our in-memory technology, massively parallel processing (MPP) technology is specifically designed for analytics, enabling businesses to turn data into actionable insights. At Exasol, we are committed to pushing the boundaries of what is possible in data analytics, and we are looking for passionate individuals to join our team and More ❯

of Video, Immersive VR/AR and AI with a vast portfolio of ground-breaking compression and data management technologies based on the game-changing use of AI and parallel processing for data, video and imaging. We are seeking an exceptional qualified chartered accountant to manage day-to-day finance operations and help scale the business through its … it’s never been seen AI - AI is evolving from text-only to images and video and Intelligent Edge and robotics. V-Nova’s technologies can produce multi-fold processing efficiencies for AI media indexing, multimodal Generative AI and intelligent edge technologies. V-Nova’s business model is to monetize its solutions through software and IP licensing, addressing use More ❯

render VR scenes without modifications. Parallaxter is part of the V-Nova Group, a London-based IP and software company dedicated to advancing data compression through innovative AI and parallel processing technologies, with applications across multiple industries. V-Nova has contributed to standardization efforts for codecs like MPEG-5 Part 2 (LCEVC) and SMPTE VC-6 (ST More ❯

of RHEL/Rocky 9 hosts. Our analytics clusters make use of Spark, HBASE and HDFS. Experience in designing and implementing scalable infrastructure solutions, ideally with some exposure to parallel processing environments used for large-scale analytics. An appreciation of security best practice in areas such as network security, threat modelling, vulnerability assessment, IAM, SIEM and incident response. More ❯