1 to 25 of 36 Remote/Hybrid Distributed Computing Jobs in England

Counterparty Credit Risk, PFE analytics, derivatives pricing, and cloud-based risk systems. You will be responsible for driving the technology roadmap, leading globally distributed teams, and delivering innovative solutions that support evolving business and regulatory requirements. This is a highly visible leadership position offering the opportunity to shape … scale technology transformation programmes. Key Responsibilities Define and own the strategic architecture and roadmap for the Credit Risk Analytics platform. Lead and manage globally distributed teams across onshore, nearshore, and offshore locations. Deliver complex risk technology programmes, ensuring successful execution against budget, timelines, and objectives. Act as the senior ...

Engineering Develop and support Databricks-based data solutions and Lakehouse architectures Utilise Delta Lake and Spark technologies to deliver scalable data processing capabilities Optimise distributed data processing workloads for performance and reliability Implement data quality controls and monitoring solutions Contribute to platform stability, scalability and operational excellence Solution Delivery … Spark and PySpark expertise Advanced SQL development and optimisation skills Experience designing and building large-scale ETL and data integration solutions Strong understanding of distributed computing concepts and data processing frameworks Experience working with modern cloud platforms including Azure, AWS or GCP Knowledge of software engineering principles, testing ...

pipeline orchestration . Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex datasets and distributed computing environments. Proficiency in SQL , version control (e.g. Git), and CI/CD pipelines . Familiarity with Agile delivery and DevOps practices (Azure ...

pipeline orchestration. Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex retail datasets and distributed computing environments. Proficiency in SQL, version control (e.g. Git) and CI/CD pipelines. Familiarity with Agile delivery and DevOps practices (Azure DevOps ...

optimize data processing solutions using Python and PySpark.Write complex and high-performing SQL queries for data extraction, transformation, and analysis.Work with large datasets and distributed computing frameworks to support data engineering initiatives.Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.Troubleshoot and resolve performance, scalability ...

processing solutions using Python and PySpark.* Write complex and high-performing SQL queries for data extraction, transformation, and analysis.* Work with large datasets and distributed computing frameworks to support data engineering initiatives.* Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.* Troubleshoot and resolve performance ...

team technical initiatives and influence organisational direction through technical authority. Evaluate and integrate emerging approaches including generative AI, Agentic AI, advanced optimisation, and scientific computing into scalable solutions. Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities. Mentor senior engineers and data scientists … prototyping, productionizing, and scaling complex ML systems in production environments. Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing with a consistent record of applying these to deliver production-grade products. Strong software engineering and system design expertise, including distributed systems, scalable ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. At Cadence, we hire and develop leaders and innovators who want to make an impact … motorsport, electric vehicle, and renewable energy companies worldwide. As a Lead Software Engineer, you will work at the intersection of mathematical modelling, high-performance computing, and software engineering to create advanced simulation solutions for complex multi-physics systems. You will help design cutting-edge numerical solvers, GPU-accelerated computing ...

software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems ...

experience with foundational software engineering practices. Database Proficiency: Strong knowledge of SQL for querying and managing data. Scalability: Experience scaling computations using GPUs or distributed computing systems. ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python). Soft Skills: Strong ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

APIs. Building cloud-native platforms supporting analytical and risk workloads. Developing orchestration frameworks for batch and on-demand calculations. Managing containerised environments and distributed compute services. Implementing monitoring, observability and operational tooling. Building resilient services with fault tolerance, recovery and retry capabilities. Creating CI/CD pipelines and deployment ...

related technical discipline. Extensive experience as a Software Engineer, with required proficiency in Python, including proven success in implementing and deploying robust, scalable distributed systems in production. Demonstrated experience designing, managing, and orchestrating complex systems involving scalable data infrastructure, hardware interfaces, and machine learning models. Expertise in defining … design, architecture decisions, and software engineering practices to multi-disciplinary teams. Desirable Skills, Qualifications & Experience: Experience leveraging Kubernetes for application deployment, and familiarity with distributed computing frameworks (e.g., Ray, Spark), or specialised batch schedulers/resource managers (e.g., Slurm, Volcano, Kueue). Demonstratedexpertisewith specialised serving engines (e.g.,vLLM ...

just the right place for you. Your key skills and capabilities: Implementing cloud-native data platforms Engineering scalable and reliable pipelines Good knowledge of distributed computing with Spark Understanding of cloud architecture principles and best practices Hands-on experience in designing, deploying, and managing cloud resources Excellent python ...

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 ...

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 ...

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 ...

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 ...

your prior roles. Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing. Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech) Experience working in a fast-moving tech company or startup. This is a full-time ...

hands‐on experience building reliable machine learning training and evaluation systems. A strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference. Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries … alerts. Experience with transformer‐based and multimodal architectures, including vision‐language models (VLM), vision‐language‐action models (VLA), or equivalent. Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems. This is a full‐time role based in our office in London. At Wayve ...