21 of 21 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++) 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 U click apply for full job details ...

infrastructure systems, turning innovative system designs into deployable, real-world technologies. We are seeking Systems Research Engineers with a deep passion for 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 … experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing Distributed Systems Research & Development : Architect, implement, and evaluate distributed system components for emerging ...

Distributed Systems Engineer/Ray Framework SME A fast-growing, early-stage infrastructure company building at the intersection of AI and distributed compute! They’re looking for an Nngineer with strong experience in Python-based distributed computing, strong experience with Ray Framework in particular, to help … design and scale systems handling complex, high-throughput workloads. What you’ll be doing Designing and building distributed systems for large-scale compute workloads Scaling Python-based services across clusters and cloud environments Working on ML infrastructure/platform tooling (training, orchestration, or inference pipelines) Improving performance, reliability ...

Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical … experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow ...

self-start when necessary. Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Experience with distributed computing and large-scale data processing. How to apply? Please send a CV to danni@cortechtalentsolutions.co.uk ...

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 ...

operational datasets. Proven experience delivering complex end-to-end data platforms in Azure or Fabric environments. Strong understanding of medallion architectures, Delta Lake, distributed compute and modern data engineering principles. Experience defining data engineering standards, governance and security frameworks. Ability to engage confidently with business, product and technical stakeholders. ...

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 ...

bring Expert-level hands-on experience with Azure data services and Databricks in enterprise-scale environments. Strong knowledge of Delta Lake , Medallion architecture, distributed compute and Lakehouse engineering patterns. Advanced Python, PySpark and Spark SQL skills, including deploying data workloads through Azure DevOps CICD , branching/merging and automated ...

cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support ...

cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support ...

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 ...

decisions from an early stage The team regularly tackles complex engineering challenges, including: State management and fault tolerance at scale Concurrency and race conditions Distributed compute and parallelisation Horizontal scaling and sharding Large-scale data processing A successful candidate will: Have an outstanding academic background (Computer Science, Maths, Physics ...

cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support ...

cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support ...

cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support ...

cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support ...

data warehousing platforms (Snowflake preferred). Experience implementing monitoring, logging, and alerting for production systems. Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications Experience deploying models to edge or embedded devices. Background in healthcare, medical devices, or clinical data systems. Familiarity with model serving frameworks … . Experience supporting data science or ML research teams in a production context. Exposure to HIPAA compliance and healthcare security best practices. Experience with distributed compute frameworks (e.g. Apache Spark, Dask) for large-scale data processing. Experience with streaming or real-time inference architectures. What You Bring You take ...

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 ...