20 of 20 Grid Computing Jobs in London

achieve best-in-class outcomes across various technologies, supporting one or more of the firm's portfolios. Job Responsibilities: Design, implement, and optimize distributed computing solutions in HPC, K8s and Cloud environments. Leverage Generative AI and AI tooling to enhance the monitoring, management, and optimization of large compute environments. … system performance and efficiency. Develop and maintain software solutions using Python, C++; and Go. Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications, Capabilities, And Skills Formal training ...

achieve best-in-class outcomes across various technologies, supporting one or more of the firm’s portfolios. Job Responsibilities : Design, implement, and optimize distributed computing solutions in HPC, K8s and Cloud environments. Leverage Generative AI and AI tooling to enhance the monitoring, management, and optimization of large compute environments. … system performance and efficiency. Develop and maintain software solutions using Python, C++; and Go. Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications, Capabilities, And Skills Formal training ...

financial services industry. We specialise in complex software engineering environments where performance, robustness and scalability are critical: real-time systems, low-latency architectures, distributed computing and high-throughput data processing. Joining MARGO means working in demanding Front Office and Trading IT environments, while benefiting from a human-sized structure … High-throughput or real-time architecturesMessaging middleware (Kafka, Solace or equivalent) FIX or other market connectivity protocols RESTful or service-oriented architectures High Performance Computing (HPC) or grid computing concepts Required Experience & Skills Essential Strong experience as a C#/.NET Developer in performance-sensitive environments Proven ...

development team.This front-office risk system calculates large volumes of results data, so there are considerable challenges in data modelling, distributed processing & grid computing. Hence, we require a seasoned developer who can efficiently design and develop micro-services and components which can handle and process large amount of data ...

derivatives Write modern, high-performance C++ code that is clean, reusable, well-tested, and optimized for large-scale distributed systems using a high-performance grid computing platform Leverage Python, SQL, and Snowflake to analyze, construct, and validate model inputs Document methodologies to support internal and external model validation ...

traders. Your team will work closely to solve challenging technological problems by contributing to our full tech stack, from hardware and software development to grid computing. We are looking for individuals eager to learn new technologies to create innovative solutions and choose the right tools to directly impact ...

join a team of experienced technologists, quantitative researchers, and traders. You will contribute to our full tech stack, from hardware and software development to grid computing, and tackle challenging problems while learning new technologies in a supportive, mentored environment. You will be surrounded by cutting-edge technology ...

join a team of technologists, quant researchers, and traders in London. You will work across the full tech stack—from hardware to software and grid computing—learning new technologies and delivering innovative solutions with immediate responsibility and mentorship. You will design and implement high-performance software for trading ...

calculation test suite. This is an excellent opportunity to gain exposure to a wide range of advanced technology paradigms like high performance grid computing. It will provide significant opportunities to collaborate with teams in the broader internal network including Front Office Technology, Risk and Quant groups, and exposure … high performance computing and cloud. Responsibilities: Develop and maintain Counterparty Credit Risk applicationsEnhance and support CI/CD processes, including build, testing, and release management. Optimize codebase performance and facilitate the transition to cloud-based workflows. Expand and execute test suites (unit, regression, integration) and conduct performance/memory ...

platforms including: SAP (S/4HANA, SAP IS-U)Oracle Utilities,SalesforceMicrosoft DynamicsServiceNow Work & Asset Management platformsCustomer Information Systems (CIS)Enterprise Asset Management (EAM)Grid & Operations platformsDrive application rationalization and modernization initiatives. Establish API-first and event-driven integration strategies. Promote composable architecture and platform engineering practices. Cloud Native … platform architectures including data lakes, lakehouses, real-time analytics, and streaming platforms. Drive AI and GenAI adoption use cases including: Predictive maintenance Intelligent operations Grid optimization Customer engagementWorkforce productivity Sustainability analytics Digital twins Promote responsible AI governance, data quality, and enterprise data management. Lead data modernization initiatives integrating ...

This role is a core overseas business development position focusing on European green data center and AI computing power park projects. This role will be responsible for full-cycle project development, land acquisition, resource docking and stakeholder relationship management across the UK, Spain and Germany. You will independently drive … project site selection, policy approval, grid resource coordination and low‐carbon new energy solution landing, focus on optimizing data center PUE and renewable energy utilization rate, and cooperate with global cloud vendors, IDC operators and AI computing enterprises to deliver high‐standard green, low‐carbon and energy‐efficient ...

filing and auditing. Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks experience ...

filing and auditing. Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Experience ...

filing and auditing. Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Established ...

subsurface, reservoir intelligence, real-time drilling operations, and agentic production optimization in Oil and Gas; and in Power and Utilities, an acceleration of grid modernization, decarbonization mandates, electrification of mobility, and growth in generation. These are transformational opportunities not seen in decades. At the same time, AWS is deploying … global teams in business development, strategic partnerships, or commercial leadership roles in the Oil and Gas sector- 5+ years of working knowledge of cloud computing, AI/ML, or emerging technology paradigms and their application to energy industry challenges- Strong knowledge and vision of AI and Agentic services applied ...

technological excellence. The EMEA HV Design team thrives on challenging conventional approaches and creating scalable, efficient power infrastructure such as High Voltage Substations and Grid Connections. We value creativity, technical expertise, and a collaborative spirit that drives Amazon's mission forward. Why AWS Amazon Web Services … 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. Work/Life Balance We value work ...

partners with various stakeholder teams during data center delivery; Real Estate to support the feasibility and selection of new sites; Energy to ensure suitable grid connection is available; Design Engineering to coordinate project specific inputs, constraints and risks into designs; Procurement to secure on time delivery of critical equipment … 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 ...

data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions … assumptions, and decisions can be tracked – and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London ...

data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions … assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London ...

rugged, self‐contained hardware and software platform for clinical teams to capture, monitor and act on patient data anywhere, even when networking or the grid can't be relied on. We are building this from scratch inside Founders Factory's studio, with a dedicated pre‐seed investment, hands … core engineering team. What you’ll own The CTO will have end-to-end responsibility for: System Integration: Working with integrated sensing, edge computing, and building out data synchronization layers to complete an OS. Architectural Design: Building resilient systems for environments with intermittent connectivity and power constraints. Regulatory Compliance ...