24 of 24 Distributed Computing Jobs in the UK

Engineer (Distributed Computing, AWS, Python, C#/C++) 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 experinece with …/Distributed Computing 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 how high performance components/instruments ...

Engineer (Distributed Computing, AWS, Python, C#/C++) Ensure all your application information is up to date and in order before applying for this opportunity. Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree … higher). - Can work in their Oxford head office 3-4 days week. - Must have experinece with AWS/Distributed Computing Your new company You'll be joining a cutting-edge engineering and technology xkybehq organisation that has grown rapidly in the U Please click on the apply ...

pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Knowledge of MLOps principles and best practices. • Experience with distributed computing and large-scale data processing. How to apply? Please send a CV to danni@cortechtalentsolutions.co.uk ...

integration and debugging of Spark with Cosmos CDF. High technical proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Thorough understanding of Spark distributed computing concepts. High technical proficiency in PySpark and Spark Concepts. Experience with concurrency patterns, CLR, and scalable application design. Deep understanding of Azure ...

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

skills Strong engineering experience with Microsoft Azure data services and Azure Databricks in large scale environments Deep knowledge of Delta Lake, medallion architecture, distributed compute and lakehouse data platforms Strong development skills in Python, PySpark and Spark SQL Experience implementing CI/CD for data platforms using Azure DevOps ...

advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). ...

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 ...

Commercial and proven Lead Data Engineering experience. Hands-on experience delivering solutions on Azure + Databricks . Strong PySpark and Spark SQL skills within distributed compute environments. Experience working in a Lakehouse/Medallion architecture with Delta Lake. Understanding of dimensional modelling (Kimball), including SCD Type 1/2. ...

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

level hands-on experience with Azure Data Services and Databricks in enterprise, highly regulated environments. Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns, distributed compute, data modelling, and performance optimisation. Strong programming skills in Python, PySpark, and Spark SQL, with experience implementing CI/CD pipelines (Azure DevOps ...

build and manage robust data pipelines that convert raw, diverse data sources (batch, streaming, real-time and unstructured) into reliable, analysis-ready datasets, using distributed computing techniques to process data at scale. Responsibilities: Design and build data ingestion pipelines and orchestration tooling. Develop database schemas and data models. ...

hate it. A background in behavioural science, organisational psychology, or psychometrics — the company works heavily with survey data and measurement validation. Spark, Databricks, or distributed computing experience. Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer Salary ...

seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model … optimize next-generation AI infrastructure. Required Qualifications and Skills: Bachelors or Masters degree inComputer Science,Electrical Engineering, or related field. Strong knowledge of distributed systems, operating systems,machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience withLLM serving frameworks(e.g.,vLLM,Ray Serve,TensorRT ...

C++, SQL, C#, and VBA. Python is also desirable. Solid foundation in numerical methods, including Monte Carlo simulations and optimization algorithms. Experience with distributed computing & inter-process communication. Proficiency in multi-threaded programming. Familiarity with Microsoft Office, VC++, VBA, SQL, Access, Oracle. Knowledge of web technologies such ...

motion planning, state estimation, and behaviour-based control. • Experience working with Linux, including system-level debugging and performance tuning. • Knowledge of real-time systems, distributed computing, and middleware communication frameworks. • Experience developing and deploying software in an R&D and production environment. • Strong problem-solving skills with ...

planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with ...

planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with ...

stack for the LLM era. As AI transitions from experimental to "agentic" and "AI-native" infrastructure, we are building the super-node clusters and distributed architectures that will power the next generation of global data centres. This is a unique hybrid role positioned at the intersection of academic-grade …/NPU clusters at a massive scale. The Technical Challenge 🛠️ As a Systems Research Engineer, you will tackle the "bottleneck" problems of modern AI: Distributed Systems R&D: Architecting components for CPU, GPU, and NPU clusters with a focus on modularity and extreme scalability. Performance Engineering: In-depth profiling ...

planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with ...

planning, state estimation, and behaviour-based control. • Experience working with Linux, including system-level debugging and performance tuning. • Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. • Experience developing and deploying software in an R&D and production environment. • Excellent problem-solving skills with ...

organizational precision. In-depth knowledge of the quantitative tech stack , including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing. Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds. Expertise ...

Type: 10-month contract (Inside IR35) Company Introduction: We are currently recruiting for an Engineering Lead with experience in large-scale IT infrastructure & distributed systems to join our tier-1 banking client on an exciting long-term contract. Role overview The role is part of the Virtualisation Engineering Team … within Distributed Compute in CTO Enterprise Services. A VMware Engineering POD Lead is responsible for guiding the development and delivery of VMware products, ensuring they meet business needs and customer expectations. Responsible for VMware Products Vision and Strategy with a focus on automation, availability, reliability, performance, and scale. Managing ...

increase. Engineers here regularly deal with issues such as market data ingestion, pricing model integration, portfolio aggregation, and the propagation of risk metrics across distributed systems used by the front office. The architecture is evolving toward a service-oriented model designed to support large scale distributed compute across … understanding of how risk is calculated across them • Deep knowledge of algorithms, memory management, multithreading and performance optimisation • Experience working with large scale distributed systems and high volume market or trade data • Familiarity with messaging technologies such as Kafka, AMPS or QPID • Python or bash for tooling and automation ...