1 to 25 of 74 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 ...

Software Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3+ 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+ days week.- Must have experience with AWS/… 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 how high ...

filing and auditing. Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming. Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks. ...

machine learning workflows. Conduct experimentation, model evaluation, and performance analysis using both statistical and business success metrics. Work with large-scale datasets in distributed computing environments. Collaborate with Machine Learning Engineers and Software Engineers to productionise models and ensure operational excellence. Identify opportunities to improve business processes through … Learning, Statistics, and Data Science methodologies. Extensive experience developing and implementing machine learning models using Python. Proven experience working with large-scale datasets and distributed computing frameworks. Experience taking machine learning solutions from concept through to production deployment. Strong software engineering practices, including: Version control (Git) Code 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 … scale the critical infrastructure required for GenAI data generation and inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational ...

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 … scale the critical infrastructure required for GenAI data generation and inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational ...

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 ...

considered for the role, it is essential that you possess exemplary academic prowess, with a 2:1 or 1st in a relevant subject (e.g. Computing Science, Maths, Physics etc.) from a leading University and accompanying demonstrable experience gained working as a Data Engineering professional. It would be highly advantageous … process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices ...

automation, and maintenance. Hands-on experience with data engineering tools and storage solutions (e.g., ADLS, Spark, Databricks, SQL/NoSQL databases). Experience with distributed computing and big data processing frameworks such as PySpark. Knowledge of infrastructure-as-code tools such as Terraform and Helm. Advanced/Specialist … networking fundamentals. Excellent communication skills with the ability to translate complex technical concepts into business terms. Experience working in agile, cross-functional, and globally distributed teams. Continuous learning mindset with a focus on emerging technologies and innovation. Experience with AWS or GCP ML platforms (e.g., SageMaker, Vertex AI). ...

effective AI solutions Desirable Generative AI experience Large Language Models (LLMs) LangChain or similar frameworks Spark, Hadoop or other big data technologies Experience with distributed computing, streaming platforms or workflow orchestration tools Experience monitoring and optimising model performance in production environments Apply Now If you want to work ...

Experience with Python and front‐end development Practical experience with FIX messaging protocol and QuickFIX/J Familiarity with Hazelcast or other distributed computing platforms Experience with distributed systems, microservices, and event‐driven architectures Why Join Us? At the company, we celebrate talent from all backgrounds ...

What we are looking for Several years of relevant work experience Software engineering: modular code, software lifecycle processes, unit testing, regression testing Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software Modelling/quantitative: basic modelling techniques (regression, classification, clustering, etc) Bachelor’s degree ...

team technical initiatives and influence organisational direction through technical authority.* Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions.* Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities.* Mentor senior engineers and data scientists … prototyping, productionizing, and scaling complex ML systems in production environments.* Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products.* Strong software engineering and system design expertise, including distributed systems, scalable ...

modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...

/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 ...

Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications Experience with model checking tools and techniques, SAT/SMT solvers Knowledge of one or more ...

software engineering Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...

experience) Strong programming skills in Python and a solid understanding of software development lifecycle principles Experience in modular code, unit testing, regression testing, and distributed computing (e.g., MapReduce, Spark DataFrames) Proven track record of leading and executing enterprise‐wide initiatives Strong communicator able to explain complex methodologies ...

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 ...

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 ...

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. ABOUT US J.P. Morgan is a global leader ...

performance tuning, and troubleshooting Scripting experience for task automation using PowerShell, Bash, Python, or Ruby Experience with applications deployed on AWS or Azure, including distributed computing, containers, Kubernetes, and/or serverless technologies Strong analytical and problem-solving skills with the ability to debug complex issues under pressure ...

models (SLMs) with LoRA, QLoRA, DoRA; quantization and distillation a plus. Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services ...