51 to 75 of 205 Distributed Computing Jobs in England

including performance optimization, cost management, scalability, and operational excellenceDeep technical understanding of modern data platform architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworksExperience with enterprise-scale implementations of cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including ...

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 ...

Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector, FAISS), containerization and orchestration (Docker, Kubernetes), and distributed computing is advantageous.• Architecture Design: Ability to design end-to-end Generative and Agentic AI architectures that encompass data preprocessing, model selection ...

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 ...

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 ...

Hands-on experience with foundational software engineering practices.Database Proficiency: Strong knowledge of SQL for querying and managing data.Scalability: Experience scaling computations using GPUs or distributed computing systems.ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).Soft Skills: Strong communication ...

experience with foundational software engineering practices. Database Proficiency: Strong knowledge of SQL for querying and managing data. Scalability: Experience scaling computations using GPUs or distributed computing systems. ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python). Soft Skills: Strong ...

experience with foundational software engineering practices. Database Proficiency: Strong knowledge of SQL for querying and managing data. Scalability: Experience scaling computations using GPUs or distributed computing systems. ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python). Soft Skills: Strong ...

/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 ...

security function, translating threat intelligence into real-time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this … identify AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self-healing security systems that reduce mean time ...

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- PhD or a Master's degree and experience in engineering, technology, computer science, machine learning, robotics, operations research ...

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- Experience in building machine learning models for business application- PhD, or a Master's degree and experience ...

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- Experience in building machine learning models for business applicationPreferred qualification - Experience using Unix/Linux- Experience in professional ...

signal computation, trade-decision-making and execution.Design, implement, and maintain the core systems and services to enable real time data ingestion, retrieval and distributed compute for both research and production.Oversee the ongoing operation of all components within the systems landscape to ensure resilience and detect defects as they arise.Preferred … Technical SkillsExceptional programming skills in both high-level and low-level languages (Python & C++ or similar).Familiarity with modern distributed computing platforms (specifically: docker, kubernetes, ceph, mongodb & kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems.Familiarity with typical quantitative research toolchains ...

signal computation, trade-decision-making and execution. Design, implement, and maintain the core systems and services to enable real time data ingestion, retrieval and distributed compute for both research and production. Oversee the ongoing operation of all components within the systems landscape to ensure resilience and detect defects … they arise. Preferred Technical SkillsExceptional programming skills in both high-level and low-level languages (Python & C++ or similar).Familiarity with modern distributed computing platforms (specifically: docker, kubernetes, ceph, mongodb & kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with ...

Commercial DB Engines to Open Source Engines like Aurora-PostgreSQL/MySQL or RedShift, DynamoDB. *Consult for optimal design of database environments, analysing complex distributed production deployments, and making recommendations to optimize performance. *Develop innovative solutions to complex business and technology problemsBe a UK national and able to obtain … stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products ...

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. ...

Need3+ years of experience in a data engineeringStrong proficiency in Python and RustHands-on experience with AWS cloud, Linux, and Docker.Expertise in distributed computing frameworks (Ray, Dask, or Apache Arrow).Strong analytical skills, with the ability to handle large-scale, high-frequency data.Solid understanding of ETL pipelines, data ...

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 ...

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 ...

ideal candidate has experience working with large datasets and distributed computing technologies. They relish working with large volumes of data, enjoy the challenge of highly complex technical contexts, and above all else are passionate about data and analytics. They are expert in data modelling, ETL design, and business ...

Zero Trust Architecture principles. Experience with service mesh technologies such as Istio. Knowledge of cloud cost optimisation and FinOps principles. Experience with edge or distributed computing architectures. Experience supporting infrastructure transformation and cloud migration programmes. Qualifications A Bachelor's degree in Computer Science, Information Technology, Systems Engineering ...

C# including object-oriented design 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 Track record of investigating, designing, and delivering innovative ML solutions that drive significant business impact Amazon ...

data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar)Proven experience building or maintaining machine learning systems in a distributed computing environmentProficiency developing in a Linux environment with attention to performance, correctness, and reproducibilityExceptional attention to detail, particularly when working with imperfect or heterogeneous … software engineeringPreferred QualificationsExperience with experiment management, model evaluation pipelines, or ML workflow orchestrationFamiliarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training)Experience with performance profiling and optimization of numerical or modeling codePrior exposure to financial data, time-series analysis, or quantitative research environments“Friends ...