1 to 25 of 51 Distributed Computing Jobs in England

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 ...

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 ...

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/ ...

into production‐level data processing pipelines. Proficient in day‐to‐day use of Python/Java/Scala. Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark. Expertise in data modeling, schema design, and data visualization tools. Experience working ...

data engineering or AI engineering with strong Python and SQL expertise Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases Hands-on with distributed computing (Spark, Databricks) and microservices architecture Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms Familiarity with DevOps tools (Git, CI/ ...

expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure‐as‐Code (Terraform ...

expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure‐as‐Code (Terraform ...

UNITED KINGDOM Senior Quantitative Developer/Research & Data Engineer - LONDON - UNITED KINGDOM Primary Skills - Python, C++, quantitative, research, market data, simulation frameworks Secondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, Linux No. Positions - 3 Remote Status - No Remote Client Willing to Sponsor - Yes Degree … frameworks that improve productivity across quantitative teams Engineering reliable production systems that bridge the gap between research and live trading Building data pipelines and distributed services that support high-volume analytical workloads Contributing to the architecture of next-generation trading and research infrastructure Optimizing performance-critical systems where latency ...

problem-solving skills and the ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

surrogate modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics, and transaction cost modeling. 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. Compensation & Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation ...

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 ...

bring Must-haves 8+ years in data engineering/data architecture Deep experience with Databricks (Lakehouse, Delta Lake, Unity Catalog) Expert SQL and distributed computing knowledge Strong experience with data modelling (star/snowflake schemas) Proven experience migrating legacy data platforms Ability to optimise performance across large datasets ...

Technical Expertise Recognised as an expert in Data Architecture, Modelling, Engineering, and Analysis at scale. Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations ...

platforms that support advanced machine learning and recommendation systems used by millions of users globally. This is an opportunity to work on highly complex distributed systems, developing production-grade data pipelines that power critical machine learning workflows at scale. As a Senior Data Engineer, you will design, build … operating them in production environments. You'll bring: Strong commercial experience developing applications and data platforms using Scala. Deep expertise with Apache Spark and distributed data processing. Proven experience designing, building and supporting production-grade data pipelines. Strong understanding of software engineering principles, testing and operational best practices. Experience ...

platforms that support advanced machine learning and recommendation systems used by millions of users globally. This is an opportunity to work on highly complex distributed systems, developing production-grade data pipelines that power critical machine learning workflows at scale. As a Senior Data Engineer, you will design, build … operating them in production environments. You'll bring: Strong commercial experience developing applications and data platforms using Scala. Deep expertise with Apache Spark and distributed data processing. Proven experience designing, building and supporting production-grade data pipelines. Strong understanding of software engineering principles, testing and operational best practices. Experience ...

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 ...

Experience with containerization and orchestration technologies, along with CI/CD platforms for automated deployment and integration Experience with big data processing frameworks and distributed computing technologies for handling large-scale data workloads Demonstrated ability to collaborate effectively with cross-functional teams, including product management, business stakeholders ...

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 ...

Have Experience with systematic trading strategies or quantitative research platforms Knowledge of financial markets, asset classes, and market microstructure Familiarity with cloud technologies, distributed computing, or large-scale data processing 📩 Interested? If you're a Python Quantitative Developer looking to work in a front-office environment where technology ...

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 … Search, Lens, and core Search. Android is the company’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between ...

product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with … projects across multiple sites internationally. Android is the company’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. Android is about computing superpower for good, enabling access to information, economic opportunity, productivity, connectivity between friends ...

What you'll do Architect, develop, test, and debug scalable backend services for distributed systems. Lead and deliver on key non-functional requirements, including scalability, availability, performance, and security. Design, author, and maintain comprehensive unit, integration, and functional tests to ensure reliability and exceptional coverage. Create and contribute … ideally in product-driven companies. Solid programming fundamentals, excellent problem-solving skills, and expertise in system design. Deep understanding of concurrency, multi-threading, and distributed computing concepts. Experience building microservice architectures and developing RESTful APIs. Demonstrated analytical and reasoning skills, with the ability to visualize and simplify complex ...