1 to 25 of 37 Permanent Distributed Computing Jobs in England

Software Engineer – High-Performance Computing (HPC)/Quant Technology Location: London – Hybrid Type: Permanent, Full-time The opportunity We’re working with a highly specialised technology business that solves some of the most technically demanding problems in high-performance computing, quantitative technology and large-scale software systems . … applications used within financial services and other performance-critical environments, covering areas such as large-scale numerical workloads, risk analytics, simulation, CPU/GPU computing and low-latency systems . They are now looking for a talented Software Engineer with an interest in High-Performance Computing ...

Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £75000 + 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 ...

costs effectively, adjusting architectures (partitioning, caching, etc.) to maintain efficient, cost-effective operations as data volumes increase. You may also evaluate new technologies (e.g. distributed computing frameworks or new databases) and incorporate them to continually improve the architecture. SkillsMust haveEducation: Bachelor's degree in Computer Science, Information Systems … data platforms or big data technologies. While our approach is cloud-agnostic, you should be familiar with concepts like data lakes, data warehouses, and distributed computing in a cloud environment (e.g. using AWS, Azure, or GCP services). The ability to design solutions that leverage cloud scalability ...

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

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 ...

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 ...

Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes ...

Ability to work with ambiguity and own problems end-to-end A passion for writing high quality code and building lean processes Experience with distributed data processing Experience with monitoring, testing, and data quality Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints … would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else ...

participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines …/CD, and code quality practices · Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask)Excellent communication skills to collaborate with researchers and translate research ideas into robust ...

maintain AI-enabled software solutions using languages such as Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals - Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation ...

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 ...

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 ...

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. ...

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 ...

mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like ...

knowledge of IT including Windows/Linux and general networking Good understanding of networking (TCP and UDP) and multicast data delivery Good understanding of distributed server architectures running on Linux Knowledge Of Any Desirable: Understanding of ultra-low latency distributed computing environments. Familiarity with FIX trading protocol … market data systems. Understanding of traditional and on-premises physical infrastructure and distributed server architectures running on Linux. Previous experience with Fixed Income, Equities, Futures & Options Trading, Risk and Settlement Systems. Familiarity with cloud technology - AWS and or Azure Reasonable knowledge of Databases - SQL Server/Oracle - including performance ...

Helm, Chef, Cloud Formation. Basic understanding of YAML, JSON, HTML, XML. Hands on experience in Linux and -or Windows systems and good understanding of distributed computing environments. Experience with CI-CD tooling such as Jenkins, Github, Bitbucket, ArgoCD, Artifactory, Azure DevOps in a large-scale environment Experience with … running queries, managing performance and scaling Working in a Platform, SRE or Production Engineering group for high availability-critical platforms-applications Experience managing a distributed container platform including but not limited to deployment-release management, provisioning, capacity management, workload management Experience managing container infrastructure and supporting development transformation ...

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 … Android's display and power capabilities. Android is Google'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 ...

closely with experienced software engineers, quantitative researchers and founders to design and build systems that operate at the intersection of mathematics, machine learning and distributed computing. You'll own meaningful projects from day one, influence technical decisions, and see your work move rapidly from idea to production. What … Working On Designing and implementing quantitative models in production Developing high-performance software in Python and/or C++ Building scalable data pipelines and distributed systems Working with large, complex real-world datasets Researching and prototyping new algorithms Optimising computational performance and system efficiency Collaborating with researchers to turn ...

team. QualificationsAbout YouExperience applying machine learning in production settings, with exposure to deep learning techniques and their practical useExperience working with deep learning and distributed computing frameworks to support large‐scale modelsFamiliarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest ...

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 … growth and solve their most critical business problems. Minimum qualifications: Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software design. Preferred qualifications ...

your prior roles. Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing. Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast-moving tech company or startup. This role is a full ...

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 analysis, and insight generation, supporting release health, performance, and device health across this portfolio. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software ...

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 … solve their most critical business problems. Minimum qualifications: Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Work or educational experience in Machine Learning or Artificial Intelligence. ...