1 to 25 of 46 Parallel Computing Jobs in England

Machine Learning Engineer, Amazon General Intelligence (AGI) Job ID: Services LLC - A57 Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizing large-scale computing infrastructure that powers our cutting-edge AI and machine learning initiatives. We leverage advanced hardware, innovative software architectures, and distributed computing techniques to enable breakthrough research and product … top talent and recruit them to the company. - Actively mentor senior and Principal engineers, scale yourself by developing and institutionalizing best practices in AI/ML infrastructure and distributed computing across the organization. A day in the life 8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure - 8+ years of current programming experience … building ML infrastructure using languages such as Python, C++ or Rust - Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc - Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up - Knowledge of emerging AI hardware accelerators and More ❯

manipulation and machine learning libraries in one or more programming languages. ● Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures ● Modelling & Statistical Analysis experience More ❯

engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code. What You Will Be Doing Study and … science related discipline and 3+ years of relevant work or research experience. Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. Firsthand work experience with parallel programming, ideally CUDA C/C++. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Some travel is required … have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving More ❯

of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI … Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary More ❯

development, with a focus on building performant, scalable systems. Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working More ❯

development, with a focus on building performant, scalable systems. Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working More ❯

improvement of the development process What we’re looking for: 5+ years’ experience working in a similar ML related position Proficient in Python, C++ Experience with distributed systems and parallel computing Familiarity with embedded systems development Experience with workload orchestration tools (Databricks, Kubeflow, Airflow, etc.) Familiarity with unstructured data processing (video, audio, ffmpeg) Experience working with model registries More ❯

dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics. You will collaborate closely with engineers and scientists from diverse … wants to enhance their technical skills in an environment that encourages growth and innovation. Key Responsibilities: Develop and optimize algorithms for simulating physical processes and industrial systems. Work with parallel processing technologies to accelerate large-scale computations. Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software. Contribute to the development of high-quality 2D and 3D More ❯

Additional experience with: GUI development (Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will More ❯

Live operation of such systems, including monitoring and pro-active detection of potential problems and intervention Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and …/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Proficient in quantitative analysis, mathematical modelling, statistics, regression, and More ❯

programming, with a strong grasp of modern C++ standards. Proven experience in GPU programming and optimization, with proficiency in CUDA, OpenCL, or other GPU programming frameworks. Strong knowledge of parallel computing concepts, including data locality, memory access patterns, and synchronization. Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks. Experience in system-level programming More ❯

programming, with a strong grasp of modern C++ standards. Proven experience in GPU programming and optimization, with proficiency in CUDA, OpenCL, or other GPU programming frameworks. Strong knowledge of parallel computing concepts, including data locality, memory access patterns, and synchronization. Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks. Experience in system-level programming More ❯

are familiar with CI/CD tools for building, testing, and deploying code. You understand data storage and processing design choices, especially in cloud environments. You have experience with parallel computing for large datasets and computational optimization. You can deploy, schedule, and monitor workflows programmatically. You can write complex queries for relational and non-relational data stores. Some More ❯

Additional experience with: GUI development (Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will More ❯

your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in More ❯

your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in More ❯

your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in More ❯

your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in More ❯

your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in More ❯

your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in More ❯

is a new role owing to recent success and growth for their diverse portfolio of products and services. You will be responsible for optimizing, managing, and scaling high-performance computing (HPC) environments. Our client are at the forefront of innovation, driving the boundaries of what's possible with high-performance computing. Their team of visionary minds and technology enthusiasts … for optimal performance and resource utilization. -Crafting and implementing monitoring solutions to identify and address potential issues proactively. -Collaborating with researchers, engineers, and developers to optimize application performance and parallel computing efficiency. -Troubleshooting and resolving system, network, and software problems to keep operations running smoothly. -Implementing security measures to protect sensitive data and maintain compliance with industry standards. … My client are well respected in their industry sector and will offer further personal and carer development. If you're a Linux aficionado with a passion for high-performance computing, my clients wants to hear from you! If the above sounds like you, please get your CV in for a quick turnaround More ❯

is a new role owing to recent success and growth for their diverse portfolio of products and services. You will be responsible for optimizing, managing, and scaling high-performance computing (HPC) environments. Our client are at the forefront of innovation, driving the boundaries of what's possible with high-performance computing. Their team of visionary minds and technology enthusiasts … for optimal performance and resource utilization. -Crafting and implementing monitoring solutions to identify and address potential issues proactively. -Collaborating with researchers, engineers, and developers to optimize application performance and parallel computing efficiency. -Troubleshooting and resolving system, network, and software problems to keep operations running smoothly. -Implementing security measures to protect sensitive data and maintain compliance with industry standards. … My client are well respected in their industry sector and will offer further personal and carer development. If you're a Linux aficionado with a passion for high-performance computing, my clients wants to hear from you! If the above sounds like you, please get your CV in for a quick turnaround More ❯

is a new role owing to recent success and growth for their diverse portfolio of products and services. You will be responsible for optimizing, managing, and scaling high-performance computing (HPC) environments. Our client are at the forefront of innovation, driving the boundaries of what's possible with high-performance computing. Their team of visionary minds and technology enthusiasts … for optimal performance and resource utilization. -Crafting and implementing monitoring solutions to identify and address potential issues proactively. -Collaborating with researchers, engineers, and developers to optimize application performance and parallel computing efficiency. -Troubleshooting and resolving system, network, and software problems to keep operations running smoothly. -Implementing security measures to protect sensitive data and maintain compliance with industry standards. … My client are well respected in their industry sector and will offer further personal and carer development. If you're a Linux aficionado with a passion for high-performance computing, my clients wants to hear from you! If the above sounds like you, please get your CV in for a quick turnaround More ❯

Live operation of such systems, including monitoring and pro-active detection of potential problems and intervention Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and …/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Proficient in quantitative analysis, mathematical modelling, statistics, regression, and More ❯

Live operation of such systems, including monitoring and pro-active detection of potential problems and intervention Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and …/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Proficient in quantitative analysis, mathematical modelling, statistics, regression, and More ❯