26 to 50 of 271 Distributed Computing Jobs in England

a related field, or equivalent practical experience. Proven experience as a software engineer, with at least 3 years in a technical leadership role. Strong proficiency in C#, Relational Databases, distributed computing, middleware and integration patterns. Demonstrated ability to lead and mentor a team of engineers, fostering a collaborative and productive work environment. Experience in managing complex projects, with More ❯

CEX), including the matching engine, order execution, and real-time APIs. Design and optimize a scalable blockchain architecture, focusing on consensus mechanisms, cryptographic security, and decentralized networking. Leverage cloud computing solutions (AWS, GCP, or Azure) to ensure high availability, security, and performance. Optimize the exchange and blockchain infrastructure to handle thousands of transactions per second with low-latency execution. … technology roadmap. Write high-performance, scalable, and secure code in Rust, Go, C++, Java, or Python. What will you bring? Master in Computer Science, with a specialization in Cloud Computing, Blockchain, or Distributed Systems. 5+ years of hands-on experience in software engineering, ideally in fintech, blockchain, or high-performance trading systems. Deep expertise in blockchain architecture, including … consensus algorithms (PoW, PoS, BFT), cryptography, and smart contracts. Strong background in cloud computing architectures (AWS, GCP, Azure) and distributed computing frameworks (Kubernetes, Kafka, etc.). Experience in high-frequency trading (HFT) systems, low-latency networking, and distributed database optimization. Security-first mindset, with knowledge of HSM, MPC, multi-signature wallets, and advanced cryptographic protocols. Proficiency More ❯

Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of More ❯

Python, SQL, Spark, PySpark, TensorFlow. Strong knowledge of LLM algorithms and training techniques. Experience deploying models in production environments. Nice To Have Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets. Why Join? This is a unique opportunity to work at the forefront of AI More ❯

Quant and Front Office technology teams to integrate pricing models and workflow enhancements within the ACE application. There will be exposure to a wide range of technological frameworks, including distributed computing architecture. The role will involve tasks such as: Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ model libraries. Supporting and improving More ❯

re comfortable developing or learning to develop custom metrics, identify biases, and quantify data quality. Strong Python skills for Data & Machine Learning, familiarity with PyTorch and TensorFlow. Experience with distributed computing and big data - scaling ML pipelines for large datasets. Familiarity with cloud-based deployment (such AWS, GCP, Azure, or Modal). Experience in fast moving AI, ML More ❯

proactive, engaging approach to working with others and building lasting partnerships. Big Data Technologies: Familiarity with tools such as Kafka, Flink, dbt, and Airflow, with a deep understanding of distributed computing and large-scale data processing systems. Nice to Have: Kubernetes Expertise: Experience with Kubernetes, Helm, ArgoCD, and related technologies. Cloud Platform Proficiency: Familiarity with AWS, GCP, or More ❯

forecasting and planning for the Physical Consumer business. We are building the next generation Business Intelligence solutions using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. As a Data Engineer in Amazon, you will be working in a large, extremely complex and dynamic data environment. You should be passionate about working with big … engineering leaders, and business leaders to build data architectures and platforms to support business - Design, develop, and operate high-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms - Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation - Keep up to date with big data … and load (ETL) data from a wide variety of data sources - Own the functional and nonfunctional scaling of software systems in your ownership area. - Implement big data solutions for distributed computing. Key job responsibilities As a DE on our team, you will be responsible for leading the data modelling, database design, and launch of some of the core data More ❯

Optimise market data pipelines and trade execution engines to improve performance and reduce latency. Ensure system reliability, scalability, and low-latency performance in a fast-paced trading environment. Utilise distributed computing and high-performance computing techniques to enhance algorithmic execution. Integrate with exchange APIs (REST/WebSocket/FIX) for real-time data processing and trading execution. … Required Qualifications: Strong understanding of quant trading logic, market structure, and execution strategies. Proficiency in C++ and Python, with experience in high-performance computing, multi-threading, and distributed systems. Experience with algorithmic trading systems in crypto, equities, FX, or derivatives at least 5 years. Knowledge of financial markets, risk management, and portfolio optimisation. Solid understanding of data structures … s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or related fields. Preferred Qualifications: Experience with low-latency trading systems and high-frequency trading (HFT). Background in distributed computing, machine learning, or AI-driven trading models. Familiarity with cloud computing, Kubernetes, or containerised environments. Strong debugging, profiling, and performance optimisation skills. What We Offer: Competitive More ❯

Optimise market data pipelines and trade execution engines to improve performance and reduce latency. Ensure system reliability, scalability, and low-latency performance in a fast-paced trading environment. Utilise distributed computing and high-performance computing techniques to enhance algorithmic execution. Integrate with exchange APIs (REST/WebSocket/FIX) for real-time data processing and trading execution. … Required Qualifications: Strong understanding of quant trading logic, market structure, and execution strategies. Proficiency in C++ and Python, with experience in high-performance computing, multi-threading, and distributed systems. Experience with algorithmic trading systems in crypto, equities, FX, or derivatives at least 5 years. Knowledge of financial markets, risk management, and portfolio optimisation. Solid understanding of data structures … s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or related fields. Preferred Qualifications: Experience with low-latency trading systems and high-frequency trading (HFT). Background in distributed computing, machine learning, or AI-driven trading models. Familiarity with cloud computing, Kubernetes, or containerised environments. Strong debugging, profiling, and performance optimisation skills. What We Offer: Competitive More ❯

Amazon! Key Job Responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and … speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Work in an agile environment to deliver high quality software. BASIC QUALIFICATIONS • Graduated less than 24 months ago or about to complete a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at … time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear programming and nonlinear optimisation • Ability to effectively articulate technical challenges and solutions • Adept at handling ambiguous or undefined problems More ❯

numpy, etc) Understanding of time series data Basic understanding of statistics and data analysis Modern version control Testing frameworks, continuous integration, and deployment Experience working with network filesystems Linux computing environment Preferred Experience 3-5 years of experience working in software development or quantitative development within trading or finance Excellent communication skills, ability to clearly explain technical concepts (both … workmanship Highly Valued Relevant Experience Familiarity with a systems programming language like C/C++ or Rust Familiarity with ACID data principles Familiarity with SQL and NoSQL databases and distributed computing frameworks is a plus Working knowledge of cloud computing and low-latency systems is beneficial Target Start Date As soon as possible (will wait up to More ❯

Google AI Platform) o Expertise in data pre-processing, feature engineering, and model evaluation o Understanding of software engineering principles (version control, CI/CD, containerization) o Familiarity with distributed computing and big data tools (Spark, Hadoop) o Ability to optimize models for performance and scalability o Experience with Azure AI Search More ❯

Google AI Platform) o Expertise in data pre-processing, feature engineering, and model evaluation o Understanding of software engineering principles (version control, CI/CD, containerization) o Familiarity with distributed computing and big data tools (Spark, Hadoop) o Ability to optimize models for performance and scalability o Experience with Azure AI Search More ❯

AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. Learn more at deeppcb.ai. Role Overview: We are looking for a Machine Learning Engineer to join … engineers to bring ideas to life. Responsibilities: Develop scalable and efficient machine learning algorithms to tackle PCB place-and-route challenges. Adapt and optimize ML models for large-scale distributed computing environments (e.g., GPUs, multi-node clusters). Build, test, and deploy robust production-level ML systems integrated into the DeepPCB platform. Collaborate with research scientists, software engineers … thrive in a fast-paced, collaborative, and dynamic environment. Nice to haves: Prior experience with PCB design, EDA tools, or related optimization problems. Hands-on experience in high-performance computing environments (e.g., Kubernetes, Ray, Dask). Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle). Expertise in related fields such as Computer Vision More ❯

long-term maintenance, and business impact Expert-level coding skills in Python, Scala, Java, or similar languages, with deep hands-on experience in ML frameworks (e.g., TensorFlow, PyTorch) and distributed data systems (e.g., Spark, BigQuery) Effective communicator and technical collaborator who proactively drives initiatives in cross-functional, agile teams. Comfortable mentoring peers, leading discussions around architecture and design, and … deploying (including security, reliability and scale) of ML solutions on the cloud, such as AWS or GCP Experience building solutions involving large datasets and/or ML models using distributed computing frameworks and technologies #J-18808-Ljbffr More ❯

delight customers! You will learn, have fun, and make a positive impact for our customers. A day in the life You will: • Design and develop scalable financial systems using distributed computing technologies while collaborating with cross-functional teams • Write and review high-quality code for mission-critical applications that process millions of transactions and impact customers globally • Participate … in daily agile ceremonies including stand-ups, sprint planning, and retrospectives while managing rapid development cycles • Debug, optimize, and maintain complex distributed systems to ensure fault tolerance, performance, and reliability at massive scale • Create and contribute to technical documentation, architecture designs, and implementation strategies while mentoring junior team members and participating in code reviews • Partner closely with customers, product More ❯

.NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and More ❯

.NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native design. Experience in data modelling, metadata management, and data quality practices. Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and More ❯

skills required to triage and resolve complex production issues and operate well in a fast-paced, high-pressure environment. A propensity to automate manual tasks, appreciation for large-scale, distributed computing systems, and a willingness to develop using a wide range of languages and frameworks will be necessary to succeed in the role. As part of a global … to quickly identify scope and impact of issues during high-pressure situations Solid communication and interpersonal skills Ability to multi-task and prioritize tasks effectively Preferred Qualifications Experience with distributed systems design, maintenance, and troubleshooting. Hands-on experience with debugging and optimizing code, as well as automation. Knowledge of financial markets FIX protocol knowledge ABOUT GOLDMAN SACHS At Goldman More ❯

skills required to triage and resolve complex production issues and operate well in a fast-paced, high-pressure environment. A propensity to automate manual tasks, appreciation for large-scale, distributed computing systems, and a willingness to develop using a wide range of languages and frameworks will be necessary to succeed in the role. As part of a global … to quickly identify scope and impact of issues during high-pressure situations Solid communication and interpersonal skills Ability to multi-task and prioritize tasks effectively Preferred Qualifications Experience with distributed systems design, maintenance, and troubleshooting. Hands-on experience with debugging and optimizing code, as well as automation. Knowledge of financial markets FIX protocol knowledge ABOUT GOLDMAN SACHS At Goldman More ❯

in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience. Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters). Ideal: Kubernetes and Docker experience for scalable, reproducible workflows. Working at Lila Sciences, you would have access to More ❯

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 … scout 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 More ❯

Build and oversee a small, high-caliber team of junior researchers (2–3 people), contributing to both leadership and hands-on research Leverage a modern research stack that includes distributed computing environments (e.g. AWS, Slurm), large-scale data tools (e.g. kdb+, Exasol), and advanced methods in statistics and machine learning Ideal Candidate Will Have: 3+ years of experience … Science, Engineering, or Finance Familiarity with high-frequency or tick-level data and an ability to derive actionable insights from complex datasets Proficiency in Python or C++; experience with distributed computing and low-latency research environments is advantageous Strong preference for candidates with kdb+/q experience and familiarity with execution protocols such as FIX Confident communicator, able More ❯

such as MySQL, Postgres etc. 2+ years of experience in NoSQL databases like Bigtable, Cassandra, HBase etc. Experience with schema design and data modeling. Strong understanding of large-scale distributed data processing. Experience with developing extract-transform-load (ETL). Experience with distributed messaging systems like Kafka and RabbitMQ Experience with distributed computing frameworks like Apache More ❯