26 to 50 of 180 Distributed Computing Jobs in London

build CI/CD pipelines Competent in SQL and at least one modern programming language, such as Python Understanding of key core concepts like distributed computing, batch & stream processing, functional and object‐orientated programming, how pipelines are built and deployed on cloud, pipeline schedules and SLAs Well‐versed ...

should meet all or a subset of the following technical skills: 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) Required Skills: Bachelor ...

Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks.Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms.Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects.EDUCATIONBachelor's degree or equivalent experience in Computer ...

model governance, AI safety, privacy, regulatory compliance, and risk management frameworks**.* Experience with **DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms**.* Contributions to the AI community through **publications, patents, conference presentations, research, or open-source projects**.## EDUCATIONBachelor's degree ...

role:Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.Develop large-scale distributed systems to compute and report intra-day and eod-of-day risks, PnL (Profit and Loss) and market scenarios to senior management, trading desks, controllers … strategies, FID COOs, operations, controllers, and market risk department.What you'll bring to the role: Strong software engineering, analytical and problem-solving skillsExperience in distributed computing or cloud computing, Java/Scala development experience and performance tuningUnderstand DevOps and Continuous Development PrinciplesStrong interest in learning about ...

role: Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions. Develop large-scale distributed systems to compute and report intra-day and eod-of-day risks, PnL (Profit and Loss) and market scenarios to senior management, trading desks … COOs, operations, controllers, and market risk department. What you’ll bring to the role: Strong software engineering, analytical and problem-solving skills Experience in distributed computing or cloud computing, Java/Scala development experience and performance tuning Understand DevOps and Continuous Development Principles Strong interest in learning ...

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 ...

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 Modeling/quantitative: basic modelling techniques (regression, classification, clustering, etc) Bachelor’s degree ...

regulatory purposesWhat we are looking for:Several years of relevant work experienceSoftware engineering: modular code, software lifecycle processes, unit testing, regression testingBig data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed softwareModeling/quantitative: basic modelling techniques (regression, classification, clustering, etc)Bachelor’s degree in computer ...

Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing ...

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 ...

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 Things to note ...

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/ ...

years of experience in software architecture (including 5+ years in AI/ML systems). Proven track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google … model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Career Growth and Impact: Technical Leadership and Innovation: Lead the architectural vision for a revolutionary Application AI platform. Opportunity to solve ...

real-time, event-driven and agent-driven architecture. We are looking for a Senior Software Engineer to help design and build the backend services, distributed systems and cloud infrastructure behind it. This is a hands‐on software engineering role with end‐to‐end production ownership. You will work directly … operating at scale. Develop Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real‐time services using messaging, queues, asynchronous processing and distributed workflows. Build Systems for AI Agents: Develop the production software required to run increasingly agent‐driven AI workflows, including state management, task execution, model ...

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 ...

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 ...