1 to 25 of 34 Distributed Computing Jobs in England

a Machine Learning Infrastructure Engineer to join their founding team.They are looking for people with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You … with researchers, founders and advisors to develop the next generation of high availability LLM’s.ML engineering experience:Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.Proficient in efficient serving of large machine learning models at scale, including quantisation and distributed computing more »

professional experience in a similar capacity.Responsibilities:Develop the core inference engine used to serve large machine learning models to customers at scale and across distributed systems.Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation achieving top hardware efficiency optimisation.Collaborate in defining and steering … bar of excellence that propels us forward.Qualifications:We are seeking candidates with exceptional ML engineering evidenced by:Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing … through LinkedIn, or send your CV to george@eu-recruit.comKey Words: Machine Learning/LLM/Large Language Model/PyTorch/High Performance Computing/HPC/GPU/TPU/Deepspeed/AI/OpenAI/Distributed SystemsBy applying to this role, you understand that we more »

components for both live trading and simulation Developing a seamless platform to handle all aspects of quant trading—model building, optimization, and trade execution Distributed computing Maintaining and updating the platform, ensuring its stability, robustness, and security Troubleshooting and resolving any systems related issues and handling the release more »

in rapid tactical development Proficiency in Python, with knowledge of C, C#, C++ being advantageous Proficiency with SQL and Linux Familiarity with Parallelism and distributed computing Experience with either supervised, unsupervised, reinforced or deep learning preferred Meticulous data management skills. Apply Now more »

time, Onsite, 5 days a week; remote working arrangements may be discussed with the line manager. About Us NetMind is a cutting-edge, massively distributed computing platform designed for AI modelling and applications. Currently, we are running a start-up project within the life sciences sector, NetMind.life, with more »

trading and research infrastructure. This team designs and maintains the firms largest compute infrastructure which includes operating system platforms, software development tooling, high-performance computing, networking and storage for research and trading. You’ll have the opportunity to work on a wide variety of technology initiatives in a distributed computing environment with a primary focus on Linux-based systems. This includes, workload scheduling design and implementation, fleet management, clustered file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications, metrics collection and data mining more »

trading and research infrastructure. You can expect to design and maintain the companies largest compute infrastructure which covers everything from OS, tooling and HPC computing for research and trading. You'll be working in a distributed computing environment with a primary focus on linux based systems. This more »

models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in more »

code including automated testing and able to deploy code via CI/CD platforms (e.g. Github Actions, Jenkins) Experience in Proficiency in working with distributed computing frameworks, such as Apache Spark and data modelling, database systems, and SQL optimisation techniques Experience with cloud platforms (e.g., AWS, Azure, Google more »

s global R&D activity, conducts research and innovation – achieving together whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use High Performance Computing to accelerate applications at the intersection of Artificial Intelligence and Genomics. Your … role will involve: Analyzing and profiling code to find hotspots Using parallel and distributed computing techniques to accelerate algorithms, in particular those dealing with large scale graph computations Optimization for heterogeneous (CPU + GPU) architectures or for Fujitsu’s Arm-based A64FX processor Your experience To be suitable … approach, adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with High Performance Computing techniques such as MPI, OpenMP, Intel TBB etc High proficiency in one or more programming languages A track record of writing academic publications Excellent more »

and warehousing principles that underpin most data platforms. Ability to ingest, transform, integrate data from diverse sources into well-structured information assets. Knowledge of distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes. Experience with ETL, data pipelines, and building automated … high-performance data solutions. Data modeling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency. Deploying, and managing distributed data systems. Ability to monitor, troubleshoot, and tune these systems for reliability and performance. Coding experience that demonstrates modularity, reusability, and efficiency - across languages. more »

/17/20) and developing low latency code. Bachelor's degree in a Quantitative Field; maths, statistics, computer science, etc Experience with Distributed Computing, Platform Development, Networking, and System Design. Exceptional analytical and quantitative skills BENEFITS Competitive base salary between £140,000 and £200,000 Bonus based more »

agile data warehousing systems on the Azure platform, utilising data lakes, Databricks, and Synapse Analytics. Enhance data workflows for large datasets using Databricks, exploiting distributed computing capabilities and coding adaptability. Establish streamlined CI/CD pipelines for release management and contribute to setting team-wide standards, best practices more »

sales experience and have involved in RFP/RFI/RFQ processes Creative problem-solver with strong communication skills Excellent understanding of traditional and distributed computing paradigm Should have excellent knowledge in data warehouse/data lake technology and business intelligence concepts Should have good knowledge in Relational more »

experience in a similar capacity. Responsibilities: Develop the core inference engine used to serve large machine learning models to customers at scale and across distributed systems. Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation achieving top hardware efficiency optimisation. Collaborate in defining … of excellence that propels us forward. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed. Strong software engineering acumen with expertise in software design/architecture, particularly in Python. Understanding of the latest AI research and ability to efficiently implement these systems. Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). more »

Machine Learning Infrastructure Engineer to join their founding team. They are looking for people with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You … researchers, founders and advisors to develop the next generation of high availability LLM’s. ML engineering experience: Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficient in efficient serving of large machine learning models at scale, including quantisation and distributed computing, experience with libraries such deepspeed. Strong software engineering experience in Python. Understanding around the latest AI research. Your background: Worked at a leading machine learning company. Worked a fast growing start-up. Pleas submit your CV to find out more. more »

learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches … including native distributed PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod. TECH STACK: Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data … from junior developers to senior leaders Laser focused on identifying and progressing on critical path, both individually and as a team NICE TO HAVES Distributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow) Productionisation experience on multiple clouds Familiarity with MLOps principles and practices, and more »

record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as Apache Spark Expert knowledge in one or more of the following languages - Python, Scala, Java, Kotlin Deep knowledge of more »

inference of these models. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency. Please note that … professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed. Strong software engineering acumen with expertise in software design/architecture, particularly in Python. Understanding of the latest AI research and ability to efficiently implement these systems. Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). more »

trying to improve its workflow, and we are not afraid of investing in new ideas. If you like to design, develop, and deploy resilient distributed systems you will fit right in. You will have the chance to work on established projects, kickstart new ones, and make a case for … tools. Experience of cloud-based services (AWS, Google Cloud). Experience of user interface and experience design. Experience with microservices architecture Knowledge of serverless computing architectures Knowledge of CI/CD workflows. Knowledge of issue/project tracking software, e.g. Jira Knowledge of container and orchestration technologies (e.g. Docker … Kubernetes, LXC) Other technologies associated with multi-tier architectures, and distributed computing. E.g. Redis, RabbitMQ, Prometheus, Apache Kafka, ELK, load balancers, ... What is in it for me? Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a more »

be the best data engineers in the world. Profile The Data Solutions Architect specialises in designing and implementing large-scale data processing solutions using distributed computing frameworks, AWS native components, and AWS cloud platforms. The are comfortable designing and constructing bespoke solutions and components from scratch to solve … in other settings will always be considered. Key responsibilities of the role are summarised below Design and implement large-scale data processing systems using distributed computing frameworks such as Apache Kafka and Apache Spark. Architect cloud-based solutions capable of handling petabytes of data. Lead the automation of … data technologies and cloud platforms, with demonstrable experience on large scale projects. Deep expertise in Java, and Scala, and software engineering. Strong background in distributed computing frameworks, and scaled processing. Excellent communication and teamwork skills. Ability to communicate and inspire large teams. more »

with good understanding of functional programming paradigm 2+ years experience in unit testing and test-driven development 5+ years experience with multi-threading and distributed computing 5+ years of in depth understanding of Java Performance tuning and GC optimizations. Experience in Financial Services/Banking environment Agile/ more »

robust data pipelines to assist analysis for large datasets Develop infrastructure for trading services to convert research ideas into production Experience with large-scale distributed computing technologies Requirements Bachelor’s degree or higher in computer science or other quantitative discipline 3+ years of Modern C++ experience required. (Post more »

a core focus on increasing developer productivity and overall developer experience. 💡 What You Need: Strong SWE skills - Python or Golang preferred. Expert knowledge of Distributed Computing technologies - Kubernetes strongly preferred. Competent Front-End chops - React & JavaScript preferred - open to similar frameworks/tech. Strong Automation & Config management tooling more »

Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD … in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability more »