51 to 75 of 231 Distributed Computing Jobs in England

product strategy — providing architectural leadership across multiple initiatives, guiding engineering teams through complex design challenges, and driving innovation through modern cloud, AI, and distributed system architectures. You will collaborate closely with product managers, business stakeholders, UX teams, engineering leaders, and development teams to ensure scalable, secure, and maintainable solutions … Deep understanding of software architecture principles, design patterns, domain-driven design, and object-oriented design concepts. Proven expertise in microservices architecture, event-driven systems, distributed computing, and API-led integration. Strong working knowledge of enterprise integration patterns and RESTful API design. Experience designing modern web platforms utilising Angular ...

Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their … supportCollaborate with cross-function teams and demonstrate great communication skillsWe're excited if you have5+ years of experience in delivery multi-tier, highly scalable, distributed web applicationDeep understanding in software architecture, object-oriented design principles, and data structuresExtensive experience in developing microservices using Java, PythonGood experience in Test driven ...

Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their … supportCollaborate with cross-function teams and demonstrate great communication skillsWe're excited if you have5+ years of experience in delivery multi-tier, highly scalable, distributed web applicationDeep understanding in software architecture, object-oriented design principles, and data structuresExtensive experience in developing microservices using Java, PythonGood experience in Test driven ...

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 ...

Azure, AWS, or Google Cloud.Background in deploying machine learning models into production environments (MLOps experience is advantageous).Hands‐on experience with big‐data or distributed computing tools such as Spark or Databricks.Familiarity with visualisation tools such as Power BI, Tableau, or Plotly.Industry experience in sectors such as retail ...

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 Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...

/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/ ...

performance optimization, cost management, scalability, and operational excellence Deep 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 Good understanding of AWS data analytics ...

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 ...

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 ...

National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets.What You’ll Do• Data pipeline development - Data ingestion and pipeline orchestration design and tooling.• Database schema design/database ...

multi-modal models, with a focus on speech generation. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to build machine learning models that deliver natural, expressive, and culturally appropriate speech experiences across multiple languages. You will design and conduct experiments, prototype new approaches … 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 Preferred Qualifications Experience using Unix/Linux 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 ...

layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet, Infrastructure, and AI Platform teams to embed … related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing ...

libraries, such as NLTK, spaCy, or Gensim Strong understanding of data structures, algorithms, and software design principles Experience working with large-scale data processing, distributed computing, or cloud-based platforms (e.g., Hadoop, Spark, AWS) is highly desirable Familiarity with ESG investing principles and market trends is a plus ...

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 ...

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 ...

/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 application PhD, or a Master's degree and experience ...

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 ...

financial services industry. We specialise in complex software engineering environments where performance, robustness and scalability are critical: real-time systems, low-latency architectures, distributed computing and high-throughput data processing. Joining MARGO means working in demanding Front Office and Trading IT environments, while benefiting from a human-sized … incident prevention Technical Environment Core Technologies C#/.NET (expert level) Concurrency and parallel programming Asynchronous and multithreaded models Memory management and performance profiling Distributed and event-driven architectures Windows and/or Linux production environments Performance monitoring and profiling tools Valued Technical Exposure Electronic trading or low-latency ...

Experience managing/mentoring/coaching high performance data teams 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 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) #J-18808-Ljbffr ...