1 to 25 of 51 Remote/Hybrid Distributed Computing Jobs in the UK

strategy work, sitting shoulder-to-shoulder with top-tier quant researchers as your understanding of the business deepens. What You'll Be Doing : Architecting distributed Python systems that handle exabyte-scale market data with real reliability and speed Building the tooling, pipelines and platforms that let quant researchers move … faster and dig up new alpha Tackling hard problems in distributed computing, storage, parallelisation and high-performance data engineering Working directly with quants and traders to turn research ideas into production-grade systems Relentlessly tuning latency, throughput and efficiency across the stack Owning major platform components ...

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 ...

involve you to:Collaborate with client stakeholders and internal teams to understand business requirements and translate them into robust AI solutions.Coordinate with distributed delivery teams across Deloitte’s wider network, helping to align delivery plans, technical outputs and client expectations.Design, develop, and implement end-to-end AI pipelines, including … learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies ...

learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies … processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation ...

generative AI applications.Familiarity with web development technologies, such as HTML, CSS, JavaScript, and React.Proficiency in database management systems and SQL.Experience developing ETL pipelines using distributed computing and parallel processing frameworks, such as Spark.Knowledge of Data Architecture & Data Modelling techniques.Experience working with modern data & AI platforms such as Databricks ...

team.Component Design: Design scalable application components, microservices, and data integration layers to support high-throughput regulatory reporting.Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets.Real-Time Streaming: Build and maintain real-time data ingestion … Extensive experience building microservices and RESTful APIs using Spring Boot, Spring Cloud, Spring Data, and Spring Security.Big Data Technologies: Strong, hands-on experience with distributed computing frameworks, specifically Apache Spark, Hadoop, and Hive. Proven ability to write and optimize complex Spark jobs.Real-Time Streaming: Practical experience designing ...

team. Component Design: Design scalable application components, microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming: Build and maintain real … experience building microservices and RESTful APIs using Spring Boot , Spring Cloud, Spring Data, and Spring Security. Big Data Technologies: Strong, hands-on experience with distributed computing frameworks, specifically Apache Spark , Hadoop , and Hive . Proven ability to write and optimize complex Spark jobs. Real-Time Streaming: Practical experience ...

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 ...

micro services Interest and ability to learn other coding languages as needed (eg.Python, Angular, React) Experience with dependency injection frameworks (eg.Autofac) Experience in distributed computing, machine learning, data science Experience with building data pipelines, data streaming applications Experience in, or enthusiastic, about motorsport What we can offer ...

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 ...

Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their … supportCollaborate with cross-function teams and demonstrate great communication skillsWe're excited if you have5+ years of experience in delivery multi-tier, highly scalable, distributed web applicationDeep understanding in software architecture, object-oriented design principles, and data structuresExtensive experience in developing microservices using Java, PythonGood experience in Test driven ...

Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their … supportCollaborate with cross-function teams and demonstrate great communication skillsWe're excited if you have5+ years of experience in delivery multi-tier, highly scalable, distributed web applicationDeep understanding in software architecture, object-oriented design principles, and data structuresExtensive experience in developing microservices using Java, PythonGood experience in Test driven ...

participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines …/CD, and code quality practices · Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask)Excellent communication skills to collaborate with researchers and translate research ideas into robust ...

National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets.What You’ll Do• Data pipeline development - Data ingestion and pipeline orchestration design and tooling.• Database schema design/database ...

Hands-on 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 communication ...

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 ...

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 ...

development primarily in Golang, but also with languages such as Java, Python, Node.js, or C# Deep understanding of microservices architecture, event‐driven systems, and distributed computing Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker). Advanced knowledge of SQL and NoSQL databases. Strong background ...

scaling KDB+ solutions. Strong knowledge of market data, trading systems, or real-time analytics. Experience with data pipelines, cloud-based KDB+ deployments, and distributed computing. Ability to lead projects, optimize system architecture, and mentor junior developers. Preferred Qualifications (for all levels): Experience with high-frequency trading, quantitative finance ...

National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets. What You’ll Do Data pipeline development - Data ingestion and pipeline orchestration design and tooling. Database schema design/ ...

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 ...