8 of 8 Remote/Hybrid Distributed Computing Jobs in London

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/ ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...