1 to 25 of 41 Permanent Distributed Computing Jobs in England

design and optimise some of the most demanding computational systems. This role is focused on solving difficult engineering problems at scale, working with advanced computing infrastructure, distributed systems and performance-critical workloads. We are seeking someone with outstanding technical ability who enjoys understanding systems deeply, from hardware … systems through to software optimisation and large-scale computation. About the Role You will work on the design, optimisation and operation of high-performance computing environments. You will be responsible for improving computational efficiency, building reliable infrastructure and solving complex challenges involving large-scale workloads. This is a highly ...

Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with …/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining ...

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 … JavaScript* TypeScript* Software Testing* Software Maintenance* Software Launch* Software Design* Software Architecture* Machine Learning* Data Structures* Algorithms* Technical Leadership* Big Data* Information Retrieval* Distributed Computing* Large-scale System Design* Networking* Data Storage* Security* Artificial Intelligence* Natural Language Processing* UI Design* Mobile Development* AI Pipelines* A/B Testing ...

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 ...

Senior Pipeline Engineer London, United Kingdom Posted 9 months ago Tech stack Python Distributed Computing Responsibilities Contribute to the evolution of our MetaHuman infrastructure architecture. Qualifications Expert-level Python programming skills with demonstrated experience building content creation pipelines Experience with distributed computing systems Compensation Competitive Role ...

machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/ ...

cloud-native technologies. You will oversee the design, development and optimisation of large-scale data pipelines, ensuring robust, secure and efficient data processing across distributed systems. The position requires strong hands-on technical expertise combined with leadership skills to guide engineers, shape technical direction and deliver reliable data solutions. … platform teams to optimise resource usage, performance and cost across GCP and containerised workloads.Evaluate new tools, frameworks and architectures in areas such as distributed computing, data storage and streaming, and guide their adoption where appropriate.Prepare and maintain technical documentation and standards for data engineering solutions and platform components.Essential ...

/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design of Generative and Agentic AI architectures encompassing data preprocessing, model selection, RAG pipelines, agent orchestration, MCP‐based integration ...

surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large‐scale simulations. Contributions to research (internal notes, publications … patents, conference talks) and engagement with the open‐source scientific computing ecosystem. Benefits Competitive total rewards package including base salary, commission‐based pay, and discretionary incentive compensation. Benefits include comprehensive health care coverage, on‐site health and wellness programmes, a retirement savings plan, backup childcare, tuition reimbursement, mental health ...

exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical ...

exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical ...

exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical ...

exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical ...

exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical ...

right now. Main Responsibilities Develop scalable systems and reusable components that serve as reference points for new team members. Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation. Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with … driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas and analytical databases. Use of AI tools to streamline development and debugging. Strong grasp ...

right now. Main Responsibilities Develop scalable systems and reusable components that serve as reference points for new team members. Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation. Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with … driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas and analytical databases. Use of AI tools to streamline development and debugging. Strong grasp ...

right now. Main Responsibilities Develop scalable systems and reusable components that serve as reference points for new team members. Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation. Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with … driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas and analytical databases. Use of AI tools to streamline development and debugging. Strong grasp ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

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 … market data systems. Understanding of traditional and on-premises physical infrastructure and distributed server architectures running on Linux. Previous experience with Fixed Income, Equities, Futures & Options Trading, Risk and Settlement Systems. Familiarity with cloud technology - AWS and or Azure Reasonable knowledge of Databases - SQL Server/Oracle - including performance ...

languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … communication skills for both technical and non-technical audiences Preferred qualifications, capabilities and skills Experience working in highly regulated environments or industries Experience with distributed computing, data sharding, and performance optimization Demonstrated experience in financial services, particularly retail banking operations #J-18808-Ljbffr ...

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 ...

achieve business objectives. Responsibilities The CSTA role is both deeply technical and commercial in nature. You will leverage a technical background (AppDev, SysAdmin, Distributed Computing) to advise customers on their architectures, including patterns and strategies for operating and maturing their Confluent subscription, while also utilizing relationship management skills … travel up to 20% of the time. Preferred Technical and Professional Experience Experience with Apache Kafka and Apache Flink. Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc. Other Relevant Job Details For additional information about location ...