76 to 100 of 180 Distributed Computing Jobs in London

teams to integrate pricing models and workflow enhancements within the ACE application. There will be exposure to a wide range of technological frameworks, including distributed computing architecture.The role will involve tasks such as:Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ model ...

teams to integrate pricing models and workflow enhancements within the ACE application. There will be exposure to a wide range of technological frameworks, including distributed computing architecture. The role will involve tasks such as: Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ ...

small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.Experience with distributed computing, data sharding, and performance optimization.Hands-on experience with AWS services related to AI deployment and workflow orchestration.Why Join Us? We offer ...

models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands-on experience with AWS services related to AI deployment and workflow orchestration. Why Join ...

exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse).Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats.Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark).Security & Compliance: Direct experience implementing … deploying data infrastructure as code using Terraform, Bicep, and managing deployments via Git/Azure DevOps.Soft SkillsExceptional analytical and root-cause debugging skills for distributed Spark jobs and multi-stage pipelines.Ability to collaborate with compliance and security teams to validate data privacy baselines.Strong communication skills to bridge technical delivery ...

Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing … infrastructure as code using Terraform, Bicep, and managing deployments via Git/Azure DevOps. Soft Skills Exceptional analytical and root-cause debugging skills for distributed Spark jobs and multi-stage pipelines. Ability to collaborate with compliance and security teams to validate data privacy baselines. Strong communication skills to bridge ...

sustainable through advanced automation. About the Role Our client is seeking an Infrastructure Engineer to design and scale the deployment layer of their distributed technology platform. The core challenge involves orchestrating complex, concurrent software applications and analytical workloads across a massive network of diverse, on-premise hardware installations. … execute reliably within strict memory and compute constraints. You will also collaborate directly with their research and engineering teams, building robust testing environments, scaling distributed pipelines, and converting experimental concepts into dependable production software. Key Responsibilities Network Orchestration & System Performance Resource Management: Design runtime isolation, task scheduling, and resource ...

with the Senior Portfolio Manager to turn models into live trading signals. The role also extends to enhancing the pod’s wider research infrastructure: distributed computation, large-scale parameter search, and a streamlined path from research to production.LocationLondonPrincipal ResponsibilitiesDesign, train and productionize large-scale machine learning models across both … learning approaches, applied to high-frequency dataEnhance and optimize the pod’s end-to-end machine learning pipeline, from large-scale data processing and distributed computation to scalable parameter search and validationContribute to improving the speed, scalability, and reliability of the pod’s wider signal development environment, ensuring consistent ...

deep semantic retrieval, and multi‐modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings ...

generation, deep semantic retrieval, and multi-modal representation learning.Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP).Desired:Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings ...

deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings ...

implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance and communicate findings to stakeholders Stay current with advancements … fields About you: You have a strong research engineer/scientist mindset with experience training and improving large language models at different scales in distributed computing settings whether that’s modelling, data collection, experimenting and ablating, implementing SOTA. Technical skills: You have strong programming skills in Python , Rust ...

practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 3 years of experience testing, maintaining, or launching software products … 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 ...

Amazon in London is seeking a Business Intelligence Engineer to drive data & analytics across large datasets and distributed computing environments. You will model data, design ETL, and build BI solutions using Redshift, Oracle, and NoSQL while leveraging Tableau/Quicksight and other tools. The role emphasizes AI-enabled ...

models, representation learning, or foundation models. Strong understanding of modern deep learning architectures, particularly Transformers and large-scale representation learning techniques. Experience working with distributed computing environments, large datasets, and scalable training or inference systems. Knowledge of cloud platforms and modern MLOps practices. Excellent communication skills with ...

considering business and technology risks in an integrated manner. Knowledge of system development life cycle concepts with an ability to quickly learn a complex, distributed computing environment. Excellent verbal and written communication skills. Also, good interpersonal skills with the ability to present complex and sensitive issues to senior ...

considering business and technology risks in an integrated manner.Knowledge of system development life cycle concepts with an ability to quickly learn a complex, distributed computing environment.Excellent verbal and written communication skills. Also, good interpersonal skills with the ability to present complex and sensitive issues to senior management ...

with scheduling and orchestration tools such as Quartz . Exposure to regulatory remediation programmes and audit-driven development practices. Understanding of parallel processing and distributed computing techniques. Technical Stack Python Flask Pandas Oracle Database Elasticsearch Quartz Scheduler Git CI/CD Tooling Location Bromley, UK Rate/Salary ...

with scheduling and orchestration tools such as Quartz . Exposure to regulatory remediation programmes and audit-driven development practices. Understanding of parallel processing and distributed computing techniques. Technical Stack Python Flask Pandas Oracle Database Elasticsearch Quartz Scheduler Git CI/CD Tooling Location London, UK Rate/Salary ...

Hadean is a deep-tech company building cutting-edge distributed computing technology that powers scalable, secure, and interoperable digital environments. Our platform enables real-time simulation and training, mission rehearsal, command & control and digital twin capabilities - transforming the way defence, government agencies and enterprises plan, train, and make ...

functional teams.> Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression.Desirable experience includes:> Cloud-based optimisation platforms and distributed computing.> Machine learning and hybrid optimisation approaches.> Simulation, reinforcement learning and advanced heuristic methods.> Commercial airline operations, crew planning systems or aircraft scheduling.> Aviation ...

across cross-functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud-based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

team.QualificationsAbout YouExperience applying machine learning in production settings, with exposure to deep learning techniques and their practical useExperience working with deep learning and distributed computing frameworks to support large‐scale modelsFamiliarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest ...

helping bring machine learning products from experimentation into production.Experience applying machine learning and deep learning techniques in production environments.Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models.Experience working with distributed training infrastructure, GPU-based training environments and parallelisation ...

Poland; London, UK . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software engineering, focusing on backend architecture, distributed systems, and large-scale data processing. 5 years of experience with design and architecture; and testing/launching software products. Experience operating … 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 ...