at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time. Our AIML& Scientific Computing Optimization team is focused on optimizing first-in-class Compute and AIML platforms that accelerate application development, scale up computational experiments, and integrate all … application deployments. The optimization team's focus is on maximizing scale and performance of all aspects of the platforms. A Director of AIML & Scientific Computing Optimization is a deeply technical leader. They consistently deliver major compute and AIML platform features and solutions with cross-organizational impact and value. They … are recognized as expert in software engineering, scientific computing, and/or AIML with deep understanding of performance and optimization, within the Onyx team, across R&D Digital & Tech, and even externally. They can work closely with and have strong technical knowledge of - underlying platform dependencies such as DevOps More ❯
You will need to login before you can apply for a job. Director, AIML & Scientific Computing Optimization Site Name: USA - Washington - Seattle-Onyx, UK - London, USA - Pennsylvania - Upper Providence Posted Date: Apr 4 2025 The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the … at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time. Our AIML & Scientific Computing Optimization team is focused on optimizing first-in-class Compute and AIML platforms that accelerate application development, scale up computational experiments, and integrate all … application deployments. The optimization team's focus is on maximizing scale and performance of all aspects of the platforms. A Director of AIML & Scientific Computing Optimization is a deeply technical leader. They consistently deliver major compute and AIML platform features and solutions with cross-organizational impact and value. They More ❯
in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), ParallelComputing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices More ❯
in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), ParallelComputing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices More ❯
in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), ParallelComputing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices More ❯
building performant, scalable systems. Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallelcomputing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/ More ❯
and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for GPU-based computation. Strong knowledge of parallelcomputing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and … keen interest in optimizing systems for ML workloads. A passion for machine learning, AI, and innovative technology. Nice to Have: Experience with high-performance computing (HPC) and large-scale distributed systems. Knowledge of AI/ML libraries such as cuDNN, TensorRT, or other GPU-accelerated libraries. Familiarity with low More ❯
and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for GPU-based computation. Strong knowledge of parallelcomputing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and … keen interest in optimizing systems for ML workloads. A passion for machine learning, AI, and innovative technology. Nice to Have: Experience with high-performance computing (HPC) and large-scale distributed systems. Knowledge of AI/ML libraries such as cuDNN, TensorRT, or other GPU-accelerated libraries. Familiarity with low More ❯
seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding of Linux, parallelcomputing tools, and experience with Git, Jira, and Confluence. A demonstrated interest in sustainability, systematic investing and a willingness to undertake self-study More ❯
Level executives. This requires deep familiarity across the stack - compute infrastructure (Amazon EC2, Amazon EKA), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallelcomputing (NCCL, MPI), MLOPs, through to Amazon SageMaker Hyperpod, Amazon Bedrock as well as target use cases in the cloud. This is an … stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and … and at home, there's nothing we can't achieve in the cloud. - 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience developing technology solutions and evangelising More ❯
