16 of 16 Permanent Distributed Computing Jobs in Scotland

lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions. Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement. … ensure regulatory alignment. Candidate Requirements: Extensive experience building and deploying machine learning models in production, with strong hands-on Python capability. Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ...

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 ...

models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost. Hands-on experience using enterprise-authorized ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI-powered solutions using ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such ...

Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. #J-18808-Ljbffr ...

Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. J.P. Morgan is a global leader in financial services, providing strategic advice ...

Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development, testing, and operational stability. Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc. Excellent troubleshooting, analytical, and communication skills. Preferred Qualifications, Capabilities, and Skills: Multi Region disaster recovery setup, monitoring … testing. Experience in Data pipelines using Spark. Exposure to AWS & Databricks Platform administration. Knowledge of containerization (Docker, Kubernetes) and orchestration. Familiarity with distributed systems and large-scale data processing. ABOUT US Our client is a global leader in financial services, providing strategic advice and products to the world ...

seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model … next-generation AI infrastructure. Required Qualifications and Skills: Bachelor’s or Master’s degree inComputer Science,Electrical Engineering, or related field. Strong knowledge of distributed systems, operating systems,machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience withLLM serving frameworks(e.g.,vLLM,Ray Serve,TensorRT ...

Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development, testing, and operational stability. Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc. Excellent troubleshooting, analytical, and communication skills. Preferred Qualifications, Capabilities, and Skills Multi Region disaster recovery setup, monitoring … testing. Experience in Data pipelines using Spark. Exposure to AWS & Databricks Platform administration. Knowledge of containerization (Docker, Kubernetes) and orchestration. Familiarity with distributed systems and large‐scale data processing. #J-18808-Ljbffr ...

risk analysis Implement independent price verification and valuation adjustment workflows across asset classes Develop consensus pricing solutions integrating with external market data providers Configure distributed compute, job scheduling, analytics integrations, and cloud storage pipelines Write and maintain comprehensive unit, baseline, and parameterized testsuse Investigate and remediate security vulnerabilities; support … engineering, including LLM-based developer agents and workflow orchestration Preferred Qualifications Background in financial services, derivatives pricing, market data, or valuation concepts Experience with distributed compute or job scheduling systems Familiarity with Databricks, Delta Lake, or similar analytics platforms Knowledge of reactive or event-driven programming #J-18808-Ljbffr ...

proprietary workflows Implement independent price verification and valuation adjustment workflows across asset classes Develop consensus pricing solutions integrating with external market data providers Configure distributed compute, job scheduling, analytics integrations, and cloud storage pipelines Write and maintain comprehensive unit, baseline, and parameterized tests Investigate and remediate security vulnerabilities; support … prompt engineering, including LLM-based code development Preferred Qualifications Background in financial services, derivatives pricing, market data, or valuation concepts Experience with distributed compute or job scheduling systems Knowledge of reactive or event-driven programming #J-18808-Ljbffr ...

proprietary workflows Implement independent price verification and valuation adjustment workflows across asset classes Develop consensus pricing solutions integrating with external market data providers Configure distributed compute, job scheduling, analytics integrations, and cloud storage pipelines Write and maintain comprehensive unit, baseline, and parameterized tests Investigate and remediate security vulnerabilities; support … prompt engineering, including LLM-based code development Preferred Qualifications Background in financial services, derivatives pricing, market data, or valuation concepts Experience with distributed compute or job scheduling systems Knowledge of reactive or event-driven programming ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...