Edinburgh, Midlothian, United Kingdom Hybrid / WFH Options
Onyx-Conseil
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 distributedcomputing 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 distributedcomputing, 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 ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Cathcart Technology
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 distributedcomputing 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 ❯
edinburgh, central scotland, united kingdom Hybrid / WFH Options
Cathcart Technology
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 distributedcomputing 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 ❯