1 to 25 of 36 Distributed Computing Jobs in London

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 ...

data engineering or AI engineering with strong Python and SQL expertise Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases Hands-on with distributed computing (Spark, Databricks) and microservices architecture Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms Familiarity with DevOps tools (Git, CI/ ...

UNITED KINGDOM Senior Quantitative Developer/Research & Data Engineer - LONDON - UNITED KINGDOM Primary Skills - Python, C++, quantitative, research, market data, simulation frameworks Secondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, Linux No. Positions - 3 Remote Status - No Remote Client Willing to Sponsor - Yes Degree … frameworks that improve productivity across quantitative teams Engineering reliable production systems that bridge the gap between research and live trading Building data pipelines and distributed services that support high-volume analytical workloads Contributing to the architecture of next-generation trading and research infrastructure Optimizing performance-critical systems where latency ...

problem-solving skills and the ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

surrogate modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics, and transaction cost modeling. 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. Compensation & Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation ...

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 ...

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 ...

Have Experience with systematic trading strategies or quantitative research platforms Knowledge of financial markets, asset classes, and market microstructure Familiarity with cloud technologies, distributed computing, or large-scale data processing 📩 Interested? If you're a Python Quantitative Developer looking to work in a front-office environment where technology ...

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 ...

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 ...

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 ...