1 to 25 of 29 Distributed Computing Jobs in the UK

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 ...

high-scale technology and quantitative finance. This is an opportunity to lead the design of advanced pricing and risk platforms, including a high-performance distributed computing system used for real-time market data and trading support. As a Senior C# Software Engineer , you will collaborate directly with Trading … robust architecture and continuous innovation. Your Impact Architectural Strategy: Lead the design of technology solutions that form the bedrock of the firm’s analytics. Distributed Systems: Build and optimize scalable, high-performance systems using modern C# .NET frameworks. Best Practices: Define and uphold software engineering standards to ensure consistency ...

Systems Research Engineer - AI Infrastructure/Distributed Systems We're partnered with a leading advanced technology research centre in the UK, focused on building next-generation AI-native infrastructure. They're seeking a Systems Research Engineer for AI Infrastructure and Distributed Systems to join them onsite in Edinburgh … cutting-edge research and real-world deployment, the group transforms novel system architectures into production-ready technologies that will define the future of distributed AI. This is an excellent opportunity for engineers with a strong systems background who want to work on complex, research-driven challenges in distributed ...

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 ...

MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time‐series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability ...

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 ...

scalable data platforms and integrating Generative AI capabilities into enterprise systems. Key Responsibilities Design, build and maintain scalable data pipelines using PySpark, Python and distributed computing frameworks Architect and optimise AWS-based data and AI infrastructure for secure, high-performance data processing Develop, fine-tune, benchmark and evaluate … GenAI solutions into production environments Ensure data quality, governance and operational reliability across systems Essential Skills & Experience Strong experience with PySpark and large-scale distributed data processing (ETL/ELT pipelines) Advanced SQL expertise, including schema design (star/snowflake), indexing and optimisation techniques Proven experience implementing ...

help shape the next generation of AI-native infrastructure. This role sits at the intersection of systems research and large-scale engineering, focusing on distributed architectures that support the training, serving, and deployment of advanced AI models. The rapid evolution of large-scale AI models is transforming how modern … computing systems are designed and deployed. A highly advanced research-driven engineering group is building the next wave of infrastructure that powers intelligent systems at scale—redefining how models are trained, served, and optimised across distributed environments. This role offers a unique blend of hands-on engineering ...

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). ...

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 … generation AI infrastructure. Required Qualifications and Skills: · Bachelor’s or Master’s degree in Computer 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 with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT ...

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 ...

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. ...

Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks (e.g., Spark) What’s on Offer Competitive compensation package, including equity Comprehensive benefits Hybrid working model Opportunity to build products ...

Desirable Skills: Experience with Microsoft Fabric, Azure Machine Learning or similar enterprise cloud platforms. Exposure to MLOps practices, lifecycle management and large-scale or distributed compute environments. Familiarity with agentic AI concepts and frameworks such as LangChain, AutoGen or CrewAI, with an interest in developing deeper expertise. ...

Your Responsibilities: Design and maintain scalable data pipelines using PySpark, Python, and distributed computing frameworks to support high‐volume data processing. Architect and optimize AWS-based data and AI infrastructure, ensuring secure, performant, and cost‐efficient ingestion, transformation, and storage. Develop, finetune, benchmark, and evaluate GenAI/… functional teams to integrate GenAI capabilities into production systems and ensure high-quality data, governance, and operational reliability Your Profile: Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines. Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing ...

Role GenAI Data Engineer Your responsibilities: Design and maintain scalable data pipelines using PySpark, Python, and distributed computing frameworks to support high‐volume data processing. Architect and optimize AWS-based data and AI infrastructure, ensuring secure, performant, and cost‐efficient ingestion, transformation, and storage. Develop, finetune, benchmark … into production systems and ensure high-quality data, governance, and operational reliability Your Profile Essential skills/knowledge/experience: Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines. Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing ...

complex production issues and operate well in a fast‐paced, high‐pressure environment. A propensity to automate manual tasks, appreciation for large‐scale, and distributed computing systems will be necessary to succeed in the role. As part of a global support team, you will provide operational and technical … response. Proficiency in at least one scripting or programming language (e.g., Python, Shell Scripting, Java, C++) for automation, tooling, and operational tasks. Experience with distributed systems design, maintenance, and troubleshooting. Knowledge of financial markets, electronic trading workflows, and the FIX protocol. Demonstrated ability to debug, optimize, and troubleshoot code ...

cloud, or software to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi‐tiered client/server and web‐based computing solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs … RFIs Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN) Linux, NFS file systems and Linux distributed network environment Familiarity with AWS, Azure, GCP a plus Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache ...

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 ...

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 ...

data flows Excellent problem solving and communication skills Technical Skills Unix/Linux SQL Python KDB Monitoring tools: Dynatrace , Splunk ITIL processes Grid/distributed computing (nice to have) Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply ...

trade-offs, including performance, cost, scalability, and operational excellence. Technical understanding of modern data platform architectures, including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks. Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake. Strong knowledge of AWS data analytics ...

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 ...

fields. We are not a research lab, nor are we an AI agents company. We’re working at the intersection of LLMs and evolutionary computing to build self-improving systems. We’re looking for exceptionally talented engineers and researchers to join us on this epic quest Responsibilities Write SOTA … written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made deliberate choices about tiling, memory access patterns, warp-level primitives, and instruction scheduling ...