be the best data engineers in the world. Profile The Data Solutions Architect specialises in designing and implementing large-scale data processing solutions using distributedcomputing 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 distributedcomputing 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 distributedcomputing frameworks, and scaled processing. Excellent communication and teamwork skills. Ability to communicate and inspire large teams. more »
Database Researcher - Database Management - Distributed Systems - AI - Distributed Databases - PhD - Computer Science My client who are leaders in their field are looking for Database Researchers to join their team which will involve empirical computer science research, working on programming languages, compilers, knowledge graphs, positioning and navigation, and (cloud … systems infrastructure. You will work in various areas including but not limited to data systems, AI, cloud computing, hardware acceleration, and networking/telecommunications. Key Responsibilities: Perform systems research and empirical science on current and future data management and processing systems. Analyse and understand requirements for the next generation … areas: transactional and/or analytical database management systems, query processing and optimisation, storage engines, indexing engines, concurrent/parallel algorithms and data structures, distributedcomputing, parallel programming frameworks, benchmarking and performance analysis, graph theory and graph algorithm design, programming/query languages, hardware-software co-design The more »
DW space (map/reduce, columnar DBs etc.,). You should be an expert with Data warehouse architectures, data modeling, and data processing using distributed compute solutions. The role will involve leading the core global engineering team of 4-5 resources based in India to develop industry leading solutions. 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 distributedcomputing capabilities and coding adaptability. Establish streamlined CI/CD pipelines for release management and contribute to setting team-wide standards, best practices more »
mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributedcomputing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like more »
mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure Understanding of distributedcomputing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects Expertise in Agile development methodologies like more »
mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure Understanding of distributedcomputing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects Expertise in Agile development methodologies like more »
sales experience and have involved in RFP/RFI/RFQ processes Creative problem-solver with strong communication skills Excellent understanding of traditional and distributedcomputing paradigm Should have excellent knowledge in data warehouse/data lake technology and business intelligence concepts Should have good knowledge in Relational more »
skills. Preferred Qualifications Experience with deep learning techniques and architectures. Familiarity with natural language processing (NLP) and Large Language Models (LLMs). Knowledge of distributedcomputing and cloud platforms (AWS, Azure, or Google Cloud). Research experience in Graph Neural Networks would be a plus. Strong publication record 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 distributedcomputing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in … Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details. 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 distributedcomputing 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 »
Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributedcomputing 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 close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along more »
FX You have a strong knowledge of Linux OS/Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributedcomputing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc more »
FX You have a strong knowledge of Linux OS/Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributedcomputing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc 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 distributedcomputing frameworks such as Apache Spark Expert knowledge in one or more of the following languages - Python, Scala, Java, Kotlin Deep knowledge of 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, distributedcomputing 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 »
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 this … of 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 distributedcomputing … early engineer at a fast-growing startup.Interest in and consideration of the impacts of AI technology.Key Words: Machine Learning/PyTorch/High Performance Computing/HPC/GPU/TPU/Deepspeed/AI/OpenAI/Distributed Systems/Big Data/ETL Pipeline/CUDA 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 distributedcomputing 5+ years of in depth understanding of Java Performance tuning and GC optimizations. Experience in Financial Services/Banking environment Agile/ more »
PyTorch, scikit-learn, and Spark.Solid understanding of statistical analysis, data mining, and predictive modeling techniques.Experience with big data technologies such as Hadoop, Spark, and distributedcomputing frameworks.What is in it for you?Significant Bonus Package. Flexible working for work/life balance.Private healthcare package.Significant pension contribution package.Choice of more »
South East London, England, United Kingdom Hybrid / WFH Options
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Futures and FXYou have a strong knowledge of Linux OS/Systems AdministrationYou have a good understanding of computer architecture, databases, real-time systems, distributedcomputing, OOP, Data Structures, Design Patterns, AlgorithmsYou're collaborative with excellent English language communication skillsYou are degree educated, likely to MSc/PhD 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 distributedcomputing technologies Requirements Bachelor’s degree or higher in computer science or other quantitative discipline 3+ years of Modern C++ experience required. (Post 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 distributedcomputing 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 »
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 distributedcomputing … 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 »
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 distributedcomputing, 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 »
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 distributedcomputing, 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 »