1 to 25 of 47 Distributed Computing Jobs in the South East

consistent data from external APIs and ensuring seamless incorporation into existing systems. Big Data Management and Storage : Utilize PySpark for scalable processing of large datasets, implementing best practices for distributed computing. Optimize data storage and querying within a data lake environment to enhance accessibility and performance. ML R&D : Collaborate on model prototyping and development, identifying the most relevant … 3+ years of experience in applying machine learning in a commercial setting, with a track record of delivering impactful results. Extensive programming skills in Python, with a specialization in distributed computing libraries such as PySpark. Extensive experience with PyTorch (preferred) and/or TensorFlow. Hands-on experience with deploying machine learning models in production using cloud platforms, especially More ❯

at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures 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 ❯

Skills Data extraction from PDF documents leveraging python packages like Pypdf, Camelot and OCR based services like Azure Document intelligence would be advantageous. Familiarity with Azure cloud platform and distributed computing frameworks (e.g., Apache Spark) is a plus. Experience in building and working with knowledge graphs, such as Neo4j, or GraphDB would be desirable. What We Will Offer More ❯

developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including 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 ❯

scaling our operations in London. Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our Optical Tensor Processing Units (OTPUs). This isn’t just about scaling models—it’s about rethinking how AI workloads are executed at speed and … scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and scheduling. Whether it’s through compiler techniques, systems-level tuning, or custom runtime design, you … large-scale scientific compute, or AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across the stack More ❯

scaling our operations in London. Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our OTPUs. This role involves rethinking how AI workloads are executed at speed and scale, focusing on designing and implementing software systems for distributed, low … latency inference across clusters. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimize for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across the stack, from model execution and scheduling to hardware-level constraints Collaborate with … AI infrastructure, compute systems, and compiler tooling Skills & Experience 5+ years of experience building performance-critical systems in HPC, HFT, large-scale simulation, or AI infrastructure Deep understanding of distributed systems with a focus on real-time or near real-time data processing Strong programming skills in C++ and Python for performance-sensitive applications Hands-on experience with ML More ❯

challenges. GBI is looking for a Head of Scientific Compute to shape the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic biology, and chemistry, you'll collaborate with researchers and technical teams to design tailored … computational solutions, ensuring compliance with data management best practices. You'll recruit, mentor, and lead a multidisciplinary team while optimising computing resources for scalability and efficiency. Key Responsibilities: Lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to support large-scale data processing, high-performance computing, and AI-driven analytics in … genomic research. Oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programs. Collaborate closely with researchers and technical teams to design and implement computational solutions tailored to applications in synthetic biology, chemistry, and genomics. Recruit, mentor, and lead a multidisciplinary team, fostering a culture More ❯

scaling our operations in London. Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our OTPUs. This role involves rethinking how AI workloads are executed at speed and scale, focusing on software systems that run distributed, low-latency inference … candidates have experience in HFT, large-scale scientific compute, or AI infrastructure at a serious scale. Responsibilities Design and build high-performance systems for AI/ML workloads across distributed compute clusters. Optimize for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed. Identify and resolve performance bottlenecks across the stack … AI infrastructure, compute systems, and compiler tooling. Skills & Experience 5+ years of experience in performance-critical systems in HPC, HFT, large-scale simulation, or AI infrastructure. Deep understanding of distributed systems, especially real-time or near real-time data processing. Strong programming skills in C++ and Python for performance-sensitive applications. Hands-on experience with ML compilers (LLVM, MLIR More ❯

scaling our operations in London. Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our Optical Tensor Processing Units (OTPUs). This isn’t just about scaling models—it’s about rethinking how AI workloads are executed at speed and … scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and scheduling. Whether it’s through compiler techniques, systems-level tuning, or custom runtime design, you … large-scale scientific compute, or AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across the stack More ❯

configurations and manufacturers Collaborate with senior scientists to refine existing algorithms, suggesting improvements to maximise success rate on target applications Utilise existing training infrastructure leveraging multi-GPU systems and distributed computing for large-scale model training Create experimentation frameworks for large-scale evaluation and testing of robot learning approaches Required Skills Advanced degree (PhD, Master's, or equivalent … or related field Strong research background with publications at venues like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS, or similar Deep ML expertise in PyTorch or TensorFlow with experience in distributed training and optimisation Robotics learning experience with practical knowledge of reinforcement learning and/or imitation learning Production software skills with ability to build scalable, maintainable systems beyond research More ❯

years. Key job responsibilities - Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services. - Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. - Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and … speed. - Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. - Work in an agile environment to deliver high quality software. BASIC QUALIFICATIONS - Graduated less than 24 months ago or about to complete a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at … Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis. PREFERRED QUALIFICATIONS - Previous technical internship(s) if applicable. - Experience with distributed, multi-tiered systems, algorithms, and relational databases. - Experience in optimization mathematics such as linear programming and nonlinear optimisation. - Ability to effectively articulate technical challenges and solutions. - Adept at handling More ❯

the algorithm in the production environment. Develop machine learning models encompassing data from traffic management sensors and other data sources Experience working with large data sets, experience working with distributed computing a plus (Map/Reduce, Hadoop, Hive, Apache Spark, etc.) Develop advanced data reporting capabilities and data visualizations; combining multiple disparate data sources to gain detailed insights More ❯

solutions at the intersection of quant finance and advanced engineering. Responsibilities Architect and build a next-gen macro analytics platform in modern C++, optimized for performance and scale. Develop distributed systems and Monte Carlo engines for real-time pricing and risk in cloud and multi-core environments. Collaborate with quants and traders to productionize models and integrate analytics into … technical foundation: Expert in modern C++ (17/20), solid Python skills, and experience with Excel integration. Quant & systems expertise: Background in quantitative disciplines, with hands-on experience in distributed computing, performance optimization, and cloud-native deployment (Docker/Kubernetes). Leadership & domain knowledge: Proven team leadership, strong grasp of derivatives and macro products (e.g., Rates, FX), and More ❯

Social network you want to login/join with: Senior Backend Engineer – Distributed Reporting & Data Infrastructure, slough col-narrow-left Client: INDY Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Location: Remote (Global) Core Stack: Ruby on Rails (API-only … daily → weekly → monthly roll-ups) and serves the results back to cinema managers in seconds. As volume soars, we need a backend-focused engineer to: ●Own and harden this distributed reporting engine. ●Design data pipelines that can ingest years of transactional data and still answer ad-hoc questions quickly. ●You will partner with—but not be accountable for—front … customers notice. Why INDY Rocks ● Massive Visible Impact – Your optimizations ripple out to millions of moviegoers. ● Start-to-Finish Ownership – No layers of bureaucracy; ship, measure, iterate. ● Technically Spicy – Distributed computing meets real-world financial correctness. Tight-Knit Crew – Collaborate directly with founders and domain experts. #J-18808-Ljbffr More ❯

Social network you want to login/join with: Senior Backend Engineer – Distributed Reporting & Data Infrastructure, crawley, west sussex col-narrow-left Client: INDY Location: crawley, west sussex, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Location: Remote (Global) Core Stack: Ruby … daily → weekly → monthly roll-ups) and serves the results back to cinema managers in seconds. As volume soars, we need a backend-focused engineer to: ●Own and harden this distributed reporting engine. ●Design data pipelines that can ingest years of transactional data and still answer ad-hoc questions quickly. ●You will partner with—but not be accountable for—front … customers notice. Why INDY Rocks ● Massive Visible Impact – Your optimizations ripple out to millions of moviegoers. ● Start-to-Finish Ownership – No layers of bureaucracy; ship, measure, iterate. ● Technically Spicy – Distributed computing meets real-world financial correctness. Tight-Knit Crew – Collaborate directly with founders and domain experts. #J-18808-Ljbffr More ❯

daily → weekly → monthly roll-ups) and serves the results back to cinema managers in seconds. As volume soars, we need a backend-focused engineer to: ●Own and harden this distributed reporting engine. ●Design data pipelines that can ingest years of transactional data and still answer ad-hoc questions quickly. ●You will partner with—but not be accountable for—front … customers notice. Why INDY Rocks ● Massive Visible Impact – Your optimizations ripple out to millions of moviegoers. ● Start-to-Finish Ownership – No layers of bureaucracy; ship, measure, iterate. ● Technically Spicy – Distributed computing meets real-world financial correctness. Tight-Knit Crew – Collaborate directly with founders and domain experts. #J-18808-Ljbffr More ❯

daily → weekly → monthly roll-ups) and serves the results back to cinema managers in seconds. As volume soars, we need a backend-focused engineer to: ●Own and harden this distributed reporting engine. ●Design data pipelines that can ingest years of transactional data and still answer ad-hoc questions quickly. ●You will partner with—but not be accountable for—front … customers notice. Why INDY Rocks ● Massive Visible Impact – Your optimizations ripple out to millions of moviegoers. ● Start-to-Finish Ownership – No layers of bureaucracy; ship, measure, iterate. ● Technically Spicy – Distributed computing meets real-world financial correctness. Tight-Knit Crew – Collaborate directly with founders and domain experts. #J-18808-Ljbffr More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS), ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS), ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS), ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS), ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS), ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS), ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS), ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯