26 to 50 of 64 Distributed Computing Jobs in the UK

right now. Main Responsibilities Develop scalable systems and reusable components that serve as reference points for new team members. Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation. Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with … driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas and analytical databases. Use of AI tools to streamline development and debugging. Strong grasp ...

platforms that support advanced machine learning and recommendation systems used by millions of users globally. This is an opportunity to work on highly complex distributed systems, developing production-grade data pipelines that power critical machine learning workflows at scale. As a Senior Data Engineer, you will design, build … operating them in production environments. You'll bring: Strong commercial experience developing applications and data platforms using Scala. Deep expertise with Apache Spark and distributed data processing. Proven experience designing, building and supporting production-grade data pipelines. Strong understanding of software engineering principles, testing and operational best practices. Experience ...

platforms that support advanced machine learning and recommendation systems used by millions of users globally. This is an opportunity to work on highly complex distributed systems, developing production-grade data pipelines that power critical machine learning workflows at scale. As a Senior Data Engineer, you will design, build … operating them in production environments. You'll bring: Strong commercial experience developing applications and data platforms using Scala. Deep expertise with Apache Spark and distributed data processing. Proven experience designing, building and supporting production-grade data pipelines. Strong understanding of software engineering principles, testing and operational best practices. Experience ...

Experience with containerization and orchestration technologies, along with CI/CD platforms for automated deployment and integration Experience with big data processing frameworks and distributed computing technologies for handling large-scale data workloads Demonstrated ability to collaborate effectively with cross-functional teams, including product management, business stakeholders ...

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 ...

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 … Search, Lens, and core Search. Android is the company’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between ...

product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with … projects across multiple sites internationally. Android is the company’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. Android is about computing superpower for good, enabling access to information, economic opportunity, productivity, connectivity between friends ...

What you'll do Architect, develop, test, and debug scalable backend services for distributed systems. Lead and deliver on key non-functional requirements, including scalability, availability, performance, and security. Design, author, and maintain comprehensive unit, integration, and functional tests to ensure reliability and exceptional coverage. Create and contribute … ideally in product-driven companies. Solid programming fundamentals, excellent problem-solving skills, and expertise in system design. Deep understanding of concurrency, multi-threading, and distributed computing concepts. Experience building microservice architectures and developing RESTful APIs. Demonstrated analytical and reasoning skills, with the ability to visualize and simplify complex ...

translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with ...

translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with ...

following areas: DevOps, Security, SRE. About the job The company Enterprise Services team leads the deployment of the world‐s most advanced accelerated computing systems. We help global enterprises architect and implement massive‐scale infrastructure across on‐premise, hybrid and cloud environments. As an Integration Architect, you will bridge … between specialized hardware and enterprise software, shaping the future of large‐scale distributed computing for the world’s largest organizations. In this role, you will lead the technical delivery of confidential, large‐scale compute projects for strategic customers. You will serve as the primary technical liaison between global ...

stories and epics. Solid understanding of IT fundamentals including Windows/Linux and general networking (TCP/UDP, multicast data delivery). Understanding of distributed server architectures. Desirable Knowledge Of Any (Beneficial): Understanding of ultra-low latency distributed computing environments. Familiarity with the FIX trading protocol ...

cloud, or software to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi‐tiered client/server and web‐based computing solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs … RFIs Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN) Linux, NFS file systems and Linux distributed network environment Familiarity with AWS, Azure, GCP a plus Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache ...

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 ...

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 ...

across Recursion’s massive datasets and deep learning workloads. Act as a mentor, coach, and sponsor – share technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering to drive impact, learning, and growth across teams. Enable a model‐driven culture – work with stakeholders to ensure … reliability, and infrastructure efficiency across the company. The Experience You Will Need: Hands‐on tech lead or manager experience focused on infrastructure, MLOps and distributed systems, with deep technical engagement on ML, orchestration and agentic systems. A people‐first mindset that prioritizes coworker growth and experience and understands Conway ...

discovery, assessment, planning, execution, and operations. About the job The Google Enterprise Services team leads the deployment of the world’s most advanced accelerated computing systems. We help global enterprises architect and implement massive‐scale infrastructure across on‐premise, hybrid and cloud environments. As an Integration Architect in this … high‐impact group, you will bridge the gap between specialized hardware and enterprise software, shaping the future of large‐scale distributed computing for the world’s largest organizations. As an Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their ...

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 ...

deep learning techniques Experience working with recommendation or ranking systems (or a strong interest in this space) Familiarity with modern deep learning frameworks and distributed computing approaches for training large‐scale models Experience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen ...

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 ...

data modelling requirements Experience working with cloud platforms and working with relevant PaaS/SaaS offerings. Knowledge of data integration technologies Knowledge of distributed computing & information security Programming experience in languages such as Java or Python is a bonus. While you may not have an exclusively agile background ...

emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts Basic Qualifications Experience implementing AWS services in a variety of distributed computing environments Data lake architecture and design (Lake Formation, S3-based architectures) Medallion architecture implementation (bronze/silver/gold layer design) Data … solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks Preferred Qualifications Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data center to data center or data center to cloud infrastructure Data security, compliance, and access controls Performance ...

aren’t just theorising about the future; we’re building it. Born from a philosophy of bold innovation, we’ve successfully transitioned quantum computing from an academic dream into a commercial reality. The most exciting thing is that we’re just getting started. As a Solutions Architect … customer challenges. Working closely with customers, commercial teams, and product specialists, you’ll design and develop quantum applications that demonstrate the value of quantum computing today while shaping the roadmap for tomorrow. The Role As part of our Global Commercial Team, you’ll partner directly with customers to translate ...

summarization, and prompt/version management. Engineer cloud-native AI platforms on AWS using ECS, EKS, Lambda, SQS, SNS, containerized workloads, and DynamoDB-backed distributed architectures. Optimize AI systems for latency, throughput, scalability, caching, context efficiency, and cost. Build APIs, integrations, MCP Servers, and reusable platform capabilities to connect … fundamentals and practical experience with data analysis and experimental design. Recent hands-on experience training and deploying models and pipelines. Familiarity with distributed computing patterns for training, serving, and persistence of state. Experience building and leading high-performing AI teams. Exceptional verbal and written communication skills, with ...