26 to 50 of 109 Distributed Computing Jobs in England

markets and quantitative modeling Preferred: Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in More ❯

drive innovation in training multimodal large language models (LLMs), video foundation models, and other advanced AI systems. These models will be optimized for both cloud-based deployments and edge computing environments, ensuring scalability, efficiency, and real-world applicability. You will report directly to senior leadership and play a pivotal role in shaping the company's AI strategy, from research … Scale the R&D team by recruiting top talent, fostering a collaborative culture, and implementing processes for efficient growth and knowledge sharing. Oversee scalable training pipelines, including data curation, distributed computing strategies, and hyperparameter optimization to handle massive datasets. Deliver high-quality, general-purpose models tailored to specific applications and use cases, ensuring they meet performance benchmarks for … deployments of AI models in datacenter and edge settings. Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development. Strong programming skills in Python and experience with distributed systems (e.g., Kubernetes, Ray). Important information for candidates Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. More ❯

like NOAA, ECMWF, GFS. Solid grasp of time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll More ❯

like NOAA, ECMWF, GFS. Solid grasp of time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll More ❯

like NOAA, ECMWF, GFS. Solid grasp of time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll More ❯

products need to handle information at 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 on and is growing every day. More ❯

prioritisation, and manage expectations regarding technical constraints, trade-offs, and delivery timelines Who you are Technical: Strong hands-on experience and expertise in Python data science ecosystem. Experience with distributed computing frameworks like Apache Spark (PySpark) or similar is preferred Data Science/ML: Strong experience in exploratory data analysis, machine learning algorithms, statistical inference, and experimental design More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL). Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns. Previous managerial/mentoring experience and/or operating at a senior/Lead level Excellent communication and problem-solving skills, with More ❯

Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL). Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns. Previous managerial/mentoring experience and/or operating at a senior/Lead level Excellent communication and problem-solving skills, with More ❯

teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. More ❯

teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available London up to 2 times a month in the More ❯