51 to 75 of 129 Distributed Systems Jobs in London

backend services and APIs to support new product features. Build and refine user-friendly interfaces using modern JavaScript frameworks. Optimise application performance and ensure high levels of reliability across distributed systems. Contribute to technical strategy a nd help shape future architecture decisions. Collaborate with product, design, and engineering teams to deliver seamless end-to-end solutions. Skills & Experience Proven More ❯

platform is used by the industry's biggest players in over 120 countries to trade hundreds of billions of dollars with each other every day. Our trading applications are distributed, fault-tolerant, highly transactional and low-latency. Our team FXGO is a growing team of talented engineers who are passionate about our product. We take pride in building one … to vital regulatory reporting, and serves as the trusted, event-driven data source for applications across the entire organization. Joining this team is an opportunity to engineer the foundational systems that drive innovation and ensure the stability of a core part of Bloomberg's business. The FXGO Streaming team develops and maintains a real-time foreign exchange trading application. … This system handles high volumes of pricing data and executes trades with minimal latency. They utilize geographically distributed data centers to reduce trade latency for a global client base, ensuring swift execution for traders worldwide. Continuous optimization of these systems is a primary focus. Who are you? An engineer who is motivated by building and adding value to More ❯

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML More ❯

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML More ❯

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML More ❯

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML More ❯

clean APIs using REST or GraphQL. Understand the integration of user-facing elements created by application developers with server-side logic. Have experience in developing highly scalable, fault-tolerant, distributed systems utilising AWS services such as API Gateway, Lambda, DynamoDB, SQS, SNS, and EventBridge. Are knowledgeable about AI and machine learning fundamentals, including decision trees, logistic regression, and … neural networks. Have prior experience integrating OpenAI or constructing Agentic AI systems, and are open to utilising AI tools like Cursor. Demonstrate core software engineering competencies, including the ability to write maintainable, testable, and robust code. Can translate product requirements into scalable and reliable solutions. Possess the ability to monitor the health of our services and proactively identify and More ❯

efficient extraction, synchronization, and normalization of temporal data. Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio. Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics. Collaborate with model researchers to co-design video model architectures (e.g. DiTs … VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages. Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations. Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms. Support backend engineering across research, product, and creative … inference. Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains. Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs. Proven ability to architect and maintain large-scale distributed systems for data processing and delivery. Deep expertise in orchestration frameworks such as Kubernetes More ❯

join a prestigious tech client on a contract basis. This company is renowned for its engineering excellence, and they're looking for a GoLang Developer who can take their distributed systems to the next level. As a GoLang Developer, you'll be working on mission-critical, data-intensive applications that push the boundaries of technology, taking ownership of … scalability, as well as participating in code reviews, design discussions, and knowledge sharing. GoLang Developer - Key Requirements: Significant professional experience in software development, with a strong focus on backend systems Proficiency in Go/Golang and proven expertise in AWS, Kubernetes, and Docker Experience with end-to-end software engineering, including system design and architecture Hands-on experience working More ❯

to our clients 24x7. We're moving forward to meet the demands of greater scale with engineers at the forefront. Our stack runs on AWS as a set of distributed applications using Kubernetes and a microservice-led architecture. We are also utilising Kafka for our streaming and PACT for Contract testing. What you'll get to do As a … to our payments platform, focusing on high availability, cloud native, microservice concepts. You will work as the Lead Engineer in your squad, leading on discussions around technical direction and systems design, as well as mentoring more junior members of the team. You'll get Clear ownership of your domain An independent path to production Strong platform and product support … forms the bulk of our codebase, currently in Java (11+), and ideally Spring Boot. You will be working with SQL and large SQL databases, Docker, Kubernetes, OpenAPI specifications, and distributed system observability tooling (e.g., Datadog APM). Infrastructure automation is primarily owned by the infrastructure team, but you will be a consumer of their work; familiarity with AWS, Terraform More ❯

teams are primarily based in London (UK) and Cupertino (US), we are looking for London-based applicants.What we're looking for• Empathy for the developers who will use the systems we produce.• Commitment to fostering an open and inclusive work environment.• Focus on understanding the underlying needs of the user, and letting that guide the solution.• Growth mindset and … willingness to learn from and teach others.• Willingness to productively challenge assumptions.• Curiosity about how systems work and how they fail.• Detail oriented and proud of the work you deliver.• An ability to collaborate with teams who may be unfamiliar with build and CI tooling to help them get the most out of them.You don't need to have … that they play a critical role in software development. Advocate for continuous integration and continuous delivery. Have experience building tools for engineers, some of which may be backed by distributed systems at large scale. Want to participate in the Bazel open source community. Preferred Qualifications Have used any of these technologies we tend to focus on: Build tools More ❯

are Heidi? Heidi is on a mission to halve the time it takes to deliver world-class care. We believe that by 2050, every clinician will practice with AI systems that free them from administrative burdens and increase the quality and accessibility of care to patients across the world. Built for clinicians, by clinicians, at the core of Heidi … a UK and Europe regional focus, you'll play a key role in connecting Heidi to NHS and UK healthcare systems. You'll design and implement integrations with GP systems, hospital EHRs, and healthcare APIs, ensuring our technology fits seamlessly into UK clinical workflows. This is a chance to make a direct impact on how clinicians use AI at … the point of care. What you'll do Build and maintain integrations between Heidi and UK and European healthcare systems (e.g., EMIS, TPP SystmOne, Cerner Millennium, GDT, Dedalus, Maincare, Epic, etc.). Collaborate with our AI/ML team to bring medical speech transcription and note generation into clinical workflows. Work with APIs and distributed systems that More ❯

so when we build new features, we can ensure scalability and availability of the entire platform. What you'll do as a Senior Software Engineer You will be developing systems and APIs that power a rich set of applications used by a large and passionate group of users every day. Care about agility as much as you care about … principles. 2+ years of relational database experience, including schema design and SQL You also have experience writing and maintaining a comprehensive suite of unit and integration tests. Experience writing distributed systems in a Cloud Computing environment such as AWS strongly preferred. Ability to grow other engineers through code reviews, design reviews, and over-the-shoulder debugging. Join Our More ❯

UBS - Experienced Professionals Location: London, United Kingdom Department: Information Technology (IT), Group Functions Job Type: Full Time Your Role Are you passionate about building highly available, robust, and scalable distributed systems? Do you enjoy working with developers and customers to deliver modern microservice-based applications? Are you confident in iteratively refining user requirements and removing ambiguity? Do you More ❯

met. The role involves building test coverage into CI/CD pipelines to ensure quality at speed within an Agile, DevOps-enabled environment. Experience in system integration testing across distributed systems and cloud platforms. Hands-on knowledge of Azure integration services such as Logic Apps, Azure Functions, Service Bus, and API Management. Experience with REST API testing, Swagger … such as Azure Monitor, Application Insights, or Log Analytics. Strong defect management, documentation, and test traceability skills using tools like Azure Boards, Jira, or TestRail. Experience with higher education systems, especially SITS and student lifecycle integrations. Experience with Salesforce Education Cloud and Canvas LMS APIs and data structures. Knowledge of GDPR compliance, security testing, and data masking in test … sexual orientation. Please inform us if you require any reasonable adjustments during the recruitment process. For more information about this role, please contact: Integration Developer - Salesforce Education Cloud-Student Systems Implementation Agile Project Manager - Salesforce Education Cloud Integration Lead - Salesforce Education Cloud-Student Systems Implementation More ❯

loans. We're aiming to build a market-leading product, as the credit card is a core part of our long-term growth strategy. We're responsible for the systems, processes, and product features that will make this possible - from platform architecture and credit risk to user experience and servicing. The role This is an opportunity to build a … benefits - such as cashback, points, and travel perks - and displays them to customers instantly as they spend. The requirements Essential: Experience designing and operating highly available, low-latency payments systems (10,000+ transactions per day). Proficiency in an object-oriented programming language, ideally Python. Experience designing data models for payments systems, ensuring accuracy, scalability, and maintainability, ideally … using PostgreSQL. Experience building and integrating APIs and distributed systems, including microservices. Experience mentoring engineers and setting technical standards. Clear, concise written and verbal communication, prioritising the most relevant information and focusing on outcomes and impact. Bonus: Technical knowledge of card network transaction flows. Experience with financial ledgers. Experience with Django. A strong numerical or technical background, ideally More ❯

discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment More ❯

discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment More ❯

discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment More ❯

discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment More ❯

incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure. The ideal candidate will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, Apache Flink, Kafka, and Python. This is a fantastic opportunity to step into a SRE … DevOps role *Strong knowledge of Apache Flink, Kafka, and Python in production environments *Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) *Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further roles, please click 'Apply Now' or contact Tommy More ❯

The ideal candidate will drive engineering excellence, lead top-tier engineers, and architect solutions while modernizing our DNS and URL portfolio to enhance customer experience. Responsibilities Own mission-critical systems and software development Build and mentor high-performing engineering teams Develop and execute organizational strategies and roadmaps Drive customer-centric product development Lead cross-functional initiatives and projects Create … programming languages (C++, Java, Python, Ruby) Knowledge of cloud/internet technologies Experience leading cross-functional teams Preferred Qualifications 8+ years of software development experience Experience with large-scale distributed systems and microservices architecture Advanced understanding of networking protocols (DNS, HTTP, TCP/IP, TLS) Experience with Agile methodologies Strong project management and operational excellence Knowledge of software More ❯

SDLC (Agile/Waterfall), and asset classes. Exceptional communication, analytical thinking, and documentation skills. A Computer Science/Engineering degree or equivalent. Bonus Skills: Experience in Microservices, API Design, distributed systems, cloud-native apps, or DevOps. Why Join? Work for a global leader in leveraging technology to drive performance, offering an innovative, collaborative, and high-performance culture. This More ❯

SDLC (Agile/Waterfall), and asset classes. Exceptional communication, analytical thinking, and documentation skills. A Computer Science/Engineering degree or equivalent. Bonus Skills: Experience in Microservices, API Design, distributed systems, cloud-native apps, or DevOps. Why Join? Work for a global leader in leveraging technology to drive performance, offering an innovative, collaborative, and high-performance culture. This More ❯

SDLC (Agile/Waterfall), and asset classes. Exceptional communication, analytical thinking, and documentation skills. A Computer Science/Engineering degree or equivalent. Bonus Skills: Experience in Microservices, API Design, distributed systems, cloud-native apps, or DevOps. Why Join? Work for a global leader in leveraging technology to drive performance, offering an innovative, collaborative, and high-performance culture. This More ❯