18 of 18 Remote Distributed Computing Jobs in London

visualizations to communicate findings to both technical and non-technical stakeholders. Stay current with emerging trends in machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience … . Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and More ❯

visualizations to communicate findings to both technical and non-technical stakeholders. Stay current with emerging trends in machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience … . Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and More ❯

regular system updates, patches, and security enhancements across supported environments. Stakeholder Collaboration : Work directly with research staff to understand technical needs and deliver practical computing solutions tailored to their work. Infrastructure Design : Design, implement, and maintain cloud-native and containerised infrastructure, with a focus on ML/AI research … Develop and maintain CI/CD pipelines to optimise the deployment and integration of research software. Essential Skills/Experience: Proven experience managing enterprise computing platforms in Kubernetes environments. Strong Linux and Windows system administration expertise. Familiarity with high-performance computing (HPC) clusters and distributed computing More ❯

developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines. Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization. Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage More ❯

big data solutions while collaborating with global customers. We offer comprehensive training in top cloud technologies and the opportunity to work with industry-leading distributed processing systems. Role Impact In this role, you'll contribute to transforming how businesses leverage data through AWS's distributed processing solutions. You … languages. PREFERRED QUALIFICATIONS - Bachelor's degree in Information Science/Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field - Good understanding of distributed computing environments - Prior working experience with AWS - any or all of EC2, S3, EBS, EMR Amazon is an equal opportunities employer, and we More ❯

knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to More ❯

high-performance data solutions. Data Modelling & Warehouse Design : Proficiency in data modelling, warehouse design, and database optimization, with examples of logical and physical models. Distributed Data Systems : Experience in deploying, managing, and tuning distributed systems for optimal reliability and performance. Coding & Development Practices : Demonstrated coding expertise with modular … Design scalable, complex data architectures that provide cross-team value. Data Modelling & Governance : Establish standards in logical and physical data modelling and data governance. Distributed Computing : Employ parallel processing, streaming, and batch workflows to manage large data volumes effectively. ETL & Workflow Automation : Build ETL processes and automated workflows More ❯

cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau More ❯

maintaining production ML applications Demonstrated experience deploying ML models into production environments, including both batch and real-time/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS … Actions, Jenkins, CodePipeline) Exposure to monitoring and observability tools for ML systems (e.g. Prometheus, Grafana, DataDog, WhyLabs, Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning More ❯

Expertise in SQL, Python, and BI platforms like Tableau or Power BI Strong background in data warehousing, data modelling, and statistical analysis Experience with distributed computing (Hadoop, Spark) and data profiling Skilled at explaining complex technical concepts to non-technical audiences Hands-on experience with Azure Data Services More ❯

Expertise in SQL, Python, and BI platforms like Tableau or Power BI Strong background in data warehousing, data modelling, and statistical analysis Experience with distributed computing (Hadoop, Spark) and data profiling Skilled at explaining complex technical concepts to non-technical audiences Hands-on experience with Azure Data Services More ❯

reusable products. Experience with workflow management tools such as Nextflow, WDL/Cromwell, Airflow, Prefect and Dagster 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 as More ❯

and real-world data into ground-breaking and highly immersive, live training scenarios. You will work with our team of game AI, infrastructure and distributed computing specialists to design, develop, and maintain new features within our cutting-edge, cloud-native software stack. Key Responsibilities Collaborate with Product and … asynchronous programming and Linux (Highly desirable) Experience with C++ or Rust (Desirable) Knowledge of real-time simulator or game engine architecture (Desirable) Experience developing distributed, cloud deployed applications Job Benefits We make Hadean an awesome place to work with competitive benefits: The option to work from home or from More ❯

and real-world data into ground-breaking and highly immersive, live training scenarios. You will work with our team of game AI, infrastructure and distributed computing specialists to design, develop, and maintain new features within our cutting-edge, cloud-native software stack. Applicants must have the legal right … desirable) Development using LLMs (Highly desirable) Experience with C++ or Rust (Desirable) Knowledge of real-time simulator or game engine architecture (Desirable) Experience developing distributed, cloud deployed applications Job Benefits We make Hadean an awesome place to work with competitive benefits Hybrid working with regular days at our fantastic More ❯

We are looking for a Technical Lead with strong expertise in automotive-grade embedded software development for high-performance, distributed computing systems. In this role, you will be part of an engineering team responsible for developing software solutions for edge devices, enabling large-scale data collection, experimentation, validation More ❯

an AI strategy, aligning technical roadmaps with business goals while guiding cross-functional teams. Hands-on technical skills: Proficiency in Python, Pytorch, Diffusers, and distributed computing frameworks. Strong communication & collaboration: Ability to convey complex AI concepts to technical and non-technical stakeholders, driving alignment and adoption across teams. More ❯

just the right place for you. Your key skills and capabilities: Implementing cloud-native data platforms Engineering scalable and reliable pipelines Good knowledge of distributed computing with Spark Understanding of cloud architecture principles and best practices Hands-on experience in designing, deploying, and managing cloud resources Excellent Python More ❯

together simulated and real-world data into ground-breaking and highly immersive, live training simulations. You will work with our team of infrastructure and distributed computing specialists to take the AI algorithms and tools that you know and demonstrate them at unprecedented scale. Key Responsibilities Prototype and implement More ❯