1 to 25 of 32 Distributed Computing Jobs in England

design and optimise some of the most demanding computational systems. This role is focused on solving difficult engineering problems at scale, working with advanced computing infrastructure, distributed systems and performance-critical workloads. We are seeking someone with outstanding technical ability who enjoys understanding systems deeply, from hardware … systems through to software optimisation and large-scale computation. About the Role You will work on the design, optimisation and operation of high-performance computing environments. You will be responsible for improving computational efficiency, building reliable infrastructure and solving complex challenges involving large-scale workloads. This is a highly ...

with a strong emphasis on usability, user experience, and rapid iteration. Contribute to the enhancement and extension of an existing .NET-based platform and distributed computing architecture. Apply distributed computing principles to build scalable, resilient, and secure solutions. Integrate AI and machine learning capabilities into prototype … software engineering, R&D, or prototyping-focused roles. Strong experience developing applications within the Microsoft .NET ecosystem, including modern C# development. Experience working with distributed systems, distributed computing concepts, or actor-based architectures. Proven track record of delivering rapid prototypes, proofs of concept, or innovation-focused software ...

Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with …/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes … JavaScript* TypeScript* Software Testing* Software Maintenance* Software Launch* Software Design* Software Architecture* Machine Learning* Data Structures* Algorithms* Technical Leadership* Big Data* Information Retrieval* Distributed Computing* Large-scale System Design* Networking* Data Storage* Security* Artificial Intelligence* Natural Language Processing* UI Design* Mobile Development* AI Pipelines* A/B Testing ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes … massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes ...

Senior Pipeline Engineer London, United Kingdom Posted 9 months ago Tech stack Python Distributed Computing Responsibilities Contribute to the evolution of our MetaHuman infrastructure architecture. Qualifications Expert-level Python programming skills with demonstrated experience building content creation pipelines Experience with distributed computing systems Compensation Competitive Role ...

machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/ ...

/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design of Generative and Agentic AI architectures encompassing data preprocessing, model selection, RAG pipelines, agent orchestration, MCP‐based integration ...

surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large‐scale simulations. Contributions to research (internal notes, publications … patents, conference talks) and engagement with the open‐source scientific computing ecosystem. Benefits Competitive total rewards package including base salary, commission‐based pay, and discretionary incentive compensation. Benefits include comprehensive health care coverage, on‐site health and wellness programmes, a retirement savings plan, backup childcare, tuition reimbursement, mental health ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

knowledge of IT including Windows/Linux and general networking Good understanding of networking (TCP and UDP) and multicast data delivery Good understanding of distributed server architectures running on Linux Knowledge Of Any Desirable: Understanding of ultra-low latency distributed computing environments. Familiarity with FIX trading protocol … market data systems. Understanding of traditional and on-premises physical infrastructure and distributed server architectures running on Linux. Previous experience with Fixed Income, Equities, Futures & Options Trading, Risk and Settlement Systems. Familiarity with cloud technology - AWS and or Azure Reasonable knowledge of Databases - SQL Server/Oracle - including performance ...

languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … communication skills for both technical and non-technical audiences Preferred qualifications, capabilities and skills Experience working in highly regulated environments or industries Experience with distributed computing, data sharding, and performance optimization Demonstrated experience in financial services, particularly retail banking operations #J-18808-Ljbffr ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

achieve business objectives. Responsibilities The CSTA role is both deeply technical and commercial in nature. You will leverage a technical background (AppDev, SysAdmin, Distributed Computing) to advise customers on their architectures, including patterns and strategies for operating and maturing their Confluent subscription, while also utilizing relationship management skills … travel up to 20% of the time. Preferred Technical and Professional Experience Experience with Apache Kafka and Apache Flink. Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc. Other Relevant Job Details For additional information about location ...

skills: Designing and building data-intensive applications and pipelines One or more programming languages, typically Python and SQL Some or all of the following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot ...

Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimisation, data mining, parallel and distributed computing, high‐performance computing. Experience building machine learning models for business application. Preferred Qualifications Expertise in hands‐on large language model post‐training … depth understanding of the algorithms including both supervised fine‐tuning and large‐scale reinforcement learning, especially for large‐scale distributed training. Strong publication record in top‐tier NLP/LLM conferences such as NeurIPS, ICLR, ICML, EMNLP, ACL, NAACL with 500+ citations. Equal Opportunity Amazon is an equal‐opportunity ...

operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly … users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes ...

Designing market data infrastructure * Historical time series management * VaR and stress testing data solutions * AWS cloud engineering * Risk analytics and pricing infrastructure * Large scale distributed computing Required experience: * Strong Python development * SQL and Snowflake expertise * Market Risk knowledge * Experience working with market data * AWS or cloud infrastructure experience ...

understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high-performing AI teams Exceptional verbal and written communication skills ...

model development, training, and deployment. Act as a mentor, coach, and sponsor – You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across teams at Recursion. We believe that the best work comes from working across organizational … Will Need: Experience in a hands‐on technical role as a tech lead or a manager with a focus on infrastructure, MLOps and distributed systems. Excitement for deeply engaging in technical details with your team around machine learning, orchestration and agentic systems. A people‐first mindset. We deliver ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large‐scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes … teams to bring innovations to real‐world impact that benefits our customers. Responsibilities Provide technical leadership on high‐impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy ...