16 of 16 Remote/Hybrid Distributed Computing Jobs in the UK

Generative AI and Agentic AI, applied within enterprise environments. Experience with energy system modelling, grid analytics, demand forecasting or energy market data. Familiarity with distributed computing, Spark, PySpark or cloud-native data platforms. Experience developing models for planning, scenario analysis, operational decision support, model governance or regulatory reporting. ...

team technical initiatives and influence organisational direction through technical authority.* Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions.* Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities.* Mentor senior engineers and data scientists … prototyping, productionizing, and scaling complex ML systems in production environments.* Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products.* Strong software engineering and system design expertise, including distributed systems, scalable ...

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/ ...

development primarily in Golang, but also with languages such as Java, Python, Node.js, or C# Deep understanding of microservices architecture, event‐driven systems, and distributed computing Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker). Advanced knowledge of SQL and NoSQL databases. Strong background ...

performance tuning, and troubleshooting Scripting experience for task automation using PowerShell, Bash, Python, or Ruby Experience with applications deployed on AWS or Azure, including distributed computing, containers, Kubernetes, and/or serverless technologies Strong analytical and problem-solving skills with the ability to debug complex issues under pressure ...

like Kotlin, Node.js, GraphQL allows you to build and debug reliable, maintainable, and extensible applications from browser to database. Your proficiency extends to databases, distributed computing, and cloud platforms, with deep expertise in at least one of these technologies. You’re driven by a desire for impact beyond ...

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 ...

field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest ...

field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest ...

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 ...

implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance and communicate findings to stakeholders Stay current with advancements … fields About you: You have a strong research engineer/scientist mindset with experience training and improving large language models at different scales in distributed computing settings whether that’s modelling, data collection, experimenting and ablating, implementing SOTA. Technical skills: You have strong programming skills in Python , Rust ...

Technology, Sportsbook Product&Trading, People, Property, Corporate Communications and Strategic Partnerships&Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter’s applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery – building scalable, high‐performance … data platforms that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume ...

business problems. Collaborate with product stakeholders to align technical strategy with business goals and resolve blockers across the team. Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive … technical communication for broad audiences. Proven ability to build trusting relationships with product stakeholders and deeply understand business models. Nice to have Experience with distributed general-purpose cluster-computing. Proven experience designing and deploying recommender systems, contextual bandits, or network intelligence applications. Experience in fintech, payments or similar domains. ...

architecture, system design and development of complex engineering or scientific software systems. Technological breadth across potential development languages and platforms including desktop, web, and distributed computing which may include the cloud. A proven ability to design scalable and extensible architectures; develop cloud infrastructure and distributed systems … time limit or sponsorship. A highly competitive salary is on offer, with further benefits anticipated in line with company growth. Keywords: CAE systems, desktop, distributed, cloud, architect, senior software engineer, senior software developer, Claude, Codex, server-side, front end, full stack. Another top job from ECM, the high-tech ...

strong plus). Knowledge of institutional encodings (FIX, SBE) and low latency messaging (e.g. Aeron, 29West). Familiarity with fault tolerant, high availability, distributed computing. Crypto/digital asset experience or genuine curiosity about the space. A right to work in the UK without sponsorship. Find out more ...

responsibilities. Key Responsibilities Help design and build Aalyria's centralized observability platform, integrating and scaling tools for metrics (e.g. Prometheus), logging (e.g. Loki), and distributed tracing (e.g. Tempo/OpenTelemetry). Define, implement, and manage a robust framework of Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error … blameless post-mortems. Required Qualifications 4+ years of experience in an SRE or platform engineering role, with a focus on observability for large-scale, distributed compute or network systems. Deep, hands-on expertise building, scaling, and managing observability platforms (e.g., Prometheus, Grafana, Loki/ELK, OpenTelemetry, Tempo/Jaeger ...