8 of 8 Permanent Distributed Computing Jobs in Scotland

application platform development, web and mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure. Understanding of distributed computing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects. Expertise in Agile development methodologies like TDD, BDD, Performance/Load More ❯

or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing Experience in building machine learning models for business application Preferred Qualifications Knowledge of NLP, Graphs, Informational Retrieval or Skill Taxonomies Posted: October More ❯

stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate about experimentation, rigor … quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and More ❯

stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate about experimentation, rigor … quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and More ❯

stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate about experimentation, rigor … quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and More ❯

stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate about experimentation, rigor … quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and More ❯

stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate about experimentation, rigor … quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and More ❯

world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo … for the Edinburgh hub. Key Responsibilities Define and implement the vision and roadmap for AI infrastructure and data engineering. Lead, mentor, and scale global engineering teams. Oversee large-scale distributed compute, storage, and streaming systems (e.g., Spark, Kafka, Flink, Iceberg/Delta Lakes). Collaborate with cross-functional teams (Data Science, ML Engineering, Product). Build and maintain pipelines … systems. Ensure reliability, scalability, compliance, and security across platforms. Key Qualifications 12+ years in data engineering/infrastructure, with at least 5 years leading large teams. Deep expertise in distributed systems, model training infrastructure, and inference platforms. Strong experience with cloud platforms (AWS, GCP, Azure), MLOps/DevOps, and security. Excellent leadership, communication, and stakeholder management skills. Preferred Advanced More ❯