1 to 25 of 34 Distributed Computing Jobs in the UK

Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and experience with relational databases. Strong analytical and problem-solving skills, with a more »

their core team. You will be responsible for building out their high performance, real-time data platform, offering you complex technical challenges around latency, distributed computing and stream processing, and will build entirely new features from scratch to ensure the scalability of their software. The platform itself is … field (or equivalent experience). Proven experience as a Java Engineer, with a strong understanding of Java and object-oriented programming principles. Experience with distributed systems, concurrency, and multithreading. Familiarity with in-memory data grids, databases, or caching solutions. Benefits: Competitive salary and benefits package. Flexible working hours and more »

training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts of AI technology. A degree in Computer Science. Can demonstrate you more »

training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI safety Can demonstrate you can work in a fast-growing early stage start-up A degree more »

plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from multiple sources, including simulation, optimisation and distributed computing tools. Ideally you have worked for another D2C or retail business and have some experience developing technology, data strategies and system designs 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 »

development best practices and emerging trends across the industry. Expertise in modern programming languages such as Java, Python, Scala, or equivalent. Proficiency in cloud computing platforms - preferably in GCP - and experience with container orchestration technologies such as Kubernetes. Strong background in distributed computing and familiarity with technologies … like Hadoop, Spark, Kafka, and distributed cache systems (Hazelcast, Redis). Experience with database management and proficiency in SQL and NoSQL databases. Knowledge of monitoring and logging tools such as Elasticsearch, Logstash, and Kibana (ELK Stack). Strong leadership skills, team-builder and influencer. Certifications in cloud architecture, project 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 »

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 »

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 »

NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized … engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service offerings Proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications … reporting and Dashboard development Demonstrated industry efficiency in the fields of database, data warehousing or data sciences Implementing AWS services in a variety of distributed computing, enterprise environments Customer facing well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project more »

a cloud-native, modern data engineering technology stack compatible with AWS. Experience with web scraping and other data ingestion methods and tools. Knowledge of distributed computing frameworks (Hadoop, Spark, Hive, Presto). Experience with data orchestration tools (Airflow, Orchestra, Azkaban). Expertise in cloud data warehousing and core more »

NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized … experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, Mlib or Storm/Samza Implementing AWS services in a variety of distributed computing, enterprise environments Proficiency with at least one the languages such as C++, Java, Scala or Python Experience with at least one of … the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers Experience defining system architectures and exploring technical feasibility trade-offs Experiences developing cloud software services and an understanding more »

NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized …/ELT process development Excellent SQL and strong hands-on scripting (bash, perl or python) ability Experience implementing AWS services in a variety of distributed computing, enterprise environments Understanding of database and analytical technologies in the industry including MPP databases, Data Warehouse design, BI reporting, Dashboard development and 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 »

or a related field Proficiency in fundamental topics of mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing) Experience with general-purpose programming languages such as Python, Java, C, and C++ At least one first-author publication in top-tier more »

forward in endlessly different directions. We are looking for world-class Site Reliability Engineer with experience in developing processes, tools and automation for managing distributed systems in production environments. Our team combines software and systems engineering with system administration practices to develop creative engineering solutions to operations problems. We … infrastructure and application layers. Demonstrated automation skills, showcasing how you've applied automation to solve problems and reduce manual effort and activity. Knowledge of distributed computing and cloud-native applications, including proficiency in AWS, Terraform, ELK stack (including monitoring tools as mentioned), PagerDuty/OpsGenie or similar, and 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 »

/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 »

tick data. Utilize the PREFICT DAG-based orchestration tool to manage a large number of concurrent workers and handle the complexities of large-scale distributed computing. Understand and manage distributed locking mechanisms. Take ownership of data ingestion and cataloging processes. Be proactive in questioning and improving the data 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 »

FX You have a strong knowledge of Linux OS/Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc more »

responsibility from Day 1. WHAT YOU’LL DO: Be an ambitious builder, working up and down the stack, mixing software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications. Build reliable, high-throughput, low-latency microservices to power flawless cross-border transactions. Participate in the … solutions. Mentor and support the growth of junior engineers. WHAT YOU'LL BRING: 6+ years of hands-on Software Development experience on large-scale distributed systems, with the last 4-6+ years in Java or similar (Golang, Scala, etc). Experience in building transactional systems backed by modern … persistence technologies (Aurora, DynamoDB, etc.) Experience with Agile development of distributed services, with a focus on robust software design, scalability, and security. Experience building and deploying containerized applications into modern distributed computing environments (Kubernetes, Nomad, etc.) Eagerness to work openly and collaboratively with a diverse team Ability 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 »

on industry best practices. Nice to Haves: Experience as a Site Reliability Engineer or with high-availability systems. Background in production infrastructure and troubleshooting distributed systems. Familiarity with mobile development and distributed computing. What You'll Get: £90,000 base salary. 12% Bonus. $100,000 Shares. Flexible working more »