22 of 22 Distributed Computing Jobs in London

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

quality datasets for modell ing.Proficient in programming languages such as Python, R, and SQL for data analysis and model developm ent.Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Sp ark.Deep understanding of supply chain operations … iquesExcellent communication s kills Desirable Qualific ationsMaster’s or PhD level degree5+ years of work experience in a data scienc e roleProficient with cloud computing environments, Kubernetes , etc.Familiarity with Data Science software & platforms (e.g. Datab ricks)Software development expe rienceResearch and new algorithm development expe rience ...

systems that power real-time pricing, machine learning workflows, and operational intelligence. You’ll own the design of resilient ETL/ELT pipelines, distributed data processing, and scalable AWS infrastructure, collaborating closely with a tight-knit team of engineers, architects, and product leaders who care deeply about doing things … designing and implementing complex data transformations using both ETL and ELT methodologies to support scalable data architecture in high-demand environments. Excellent understanding of distributed data processing, ideally working with Apache Spark Extensive experience (5+ years) with advanced SQL techniques and database management, including proficiency with database systems like ...

optimisation experience Git/GitLab, CI/CD pipelines, DevOps practices Strong troubleshooting and problem-solving ability Experience with lakehouse architectures, ETL workflows, and distributed computing Familiarity with time-series, market data, transactional data or risk metrics Nice to Have Power BI dataset preparation OneLake, Azure Data Lake ...

Degree in Computer Science, Data Science, or related discipline (Master’s or PhD preferred). Preferred Qualifications: Experience with large-scale data systems and distributed computing. Familiarity with compliance frameworks and data governance in regulated industries. Excellent communication and stakeholder ...

bring Silicon Valley solutions to Wall Street’s door. Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud and data ...

Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka ...

Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka ...

Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record ...

communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working ...

Exposure to various asset classes (equities, ETFs, derivatives, bonds, commodities). Familiarity with FIX protocol and market data systems. Understanding of ultra-low latency distributed computing environments. Experience in highly regulated environments. Knowledge of Linux-based infrastructure and distributed server architecture. Skills - Project Manager (Financial Technology) Excellent ...

knowledge of IT including Windows/Linux and general networking Good understanding of networking (TCP and UDP) and multicast data delivery Good understanding of distributed server architectures running on Linux Knowledge Of Any Desirable: Understanding of ultra-low latency distributed computing environments. Familiarity with FIX trading protocol ...

.NET Core backend services, APIs, and libraries. Implement modular application architectures to support scalability and maintainability. Integrate with cloud platforms (AWS, Azure) for distributed computing and storage. Technical Leadership & Collaboration Lead design reviews, code reviews, and architectural discussions to ensure technical excellence. Collaborate with product managers, designers … other AI-powered developer tools and workflows. Familiarity with modern cross-platform frameworks like .NET MAUI, Blazor, or Avalonia. Understanding of cloud-native design, distributed systems, and DevOps best practices. About Definely At Definely, we’re on a mission to simplify the way legal professionals access and understand complex ...

scale datasets. Familiarity with model deployment and management, including API development, deployment pipelines, and performance optimisation. Experience designing and developing cloud-based infrastructure for distributed computing and scalable data processing. Deep understanding of software engineering and machine learning principles and best practices. Strong problem-solving and communication skills ...

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 ...

infrastructure-as-code, observability, CI/CD, and scalable deployment practices. Enable fast experimentation for diffusion transformer training (PyTorch/JAX, DDP, mixed precision, distributed compute). Design and scale our GPU training cluster Work directly with the founding team to set technical direction and engineering culture. You Strong ...

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 ...

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 … 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 ...

orchestration, and observability across thousands of GPUs. Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale. Build tools and automation for distributed training, inference, monitoring, and experiment management. Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference. … hardware, networking, and software to accelerate the path from idea to model. About You Deep systems or infrastructure engineering experience in high-performance or distributed computing environments. Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang ...

work. Ability to learn and use new technologies. Proven hands-on CyberArk experience Background in networking, data security and cloud-based applications. Experience with distributed computing platforms for high-scale systems. Experience with Azure services and eco-system. Experience with Microsoft and Linux-based environments. Experience with continuous ...

environments in the industry. The environment is deeply technical, collaborative and quality driven, with strong expectations around software engineering standards, data integrity, and scalable distributed design. Core Requirements • Strong Computer Science background with 5 years Python engineering in trading or post trade domains • Proven experience building data intensive services … working with PostgreSQL and data frame tooling • Background in trade booking and FIX protocol integration • Ability to design and implement scalable, high availability and distributed architectures • Experience building reporting and reconciliation tooling and working with large transactional datasets • Understanding of OTC products including CDS, Interest Rate Swaps and Variance ...

environments in the industry. The environment is deeply technical, collaborative and quality driven, with strong expectations around software engineering standards, data integrity, and scalable distributed design. Core Requirements Strong Computer Science background with 5 years Python engineering in trading or post trade domains Proven experience building data intensive services … working with PostgreSQL and data frame tooling Background in trade booking and FIX protocol integration Ability to design and implement scalable, high availability and distributed architectures Experience building reporting and reconciliation tooling and working with large transactional datasets Understanding of OTC products including CDS, Interest Rate Swaps and Variance ...