4 of 4 Permanent Performance Optimisation Jobs in Edinburgh

Solutions Architect

Hiring Organisation
Nigel Frank International
Location
Edinburgh, Scotland, United Kingdom
services (Logic Apps, Service Bus, Functions) Solid understanding of enterprise architecture principles and cloud-native design Experience with data migration, data modelling, and solution performance optimisation Excellent stakeholder management and communication skills Ability to lead multi-disciplinary delivery teams in complex programmes Benefits Starting Salary ...

VP Data Engineering

Hiring Organisation
Jobleads-UK
Location
City of Edinburgh, Scotland, United Kingdom
large-scale data engineering organizations in complex, federated or matrixed environments Strong hands-on and architectural experience with Snowflake/dbt/Airflow, including performance optimization, data modelling, and cost managementExperience designing and operationalizing data governance frameworks in a federated or data mesh environment with self-service and trusted ...

Senior Software Engineer - Android

Hiring Organisation
Jobleads-UK
Location
City of Edinburgh, Scotland, United Kingdom
/React Native) to join our Sportsbook engineering team. You’ll be working on foundational engineering, focusing on improving the underlying frameworks, tooling, and performance that enable FanDuel to deliver an exciting and innovative customer experience. Working with our React Native Sportsbook application, you’ll build and optimize select … native Android components while also enhancing the core React Native codebase to improve performance and scalability. We’re looking for skilled engineers who are empathetic communicators with a commitment to continuous improvement and engineering excellence. The ideal candidate will have experience with both React Native and native Android development ...

Systems Research Engineer - Distributed Systems / C++

Hiring Organisation
European Tech Recruit
Location
Edinburgh, Scotland, United Kingdom
Systems Research Engineer position: Architect and implement distributed system components for AI workloads across CPU, GPU, and NPU clusters. Conduct in-depth profiling and performance tuning of inference pipelines, focusing on KV cache management. Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch Distributed. … publications in top-tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this ...