1,051 to 1,075 of 2,415 Distributed Systems Jobs in the UK

develop the next generation of electronic trading capabilities. Our work spans signal research, pricing, market making, execution, portfolio construction, risk management, and the production systems that support them.Job SummaryAs a Quantitative Trading & Research – Quantitative developer in the AI Market Lab, you will work at the boundary of quantitative research … research and production technology behind AI-driven systematic trading.This role is ideal for engineers who enjoy turning ambiguous research requirements into clean interfaces, fast systems, and reproducible workflows—without losing sight of trading realities like latency, determinism, and operational risk.Job ResponsibilitiesDesign and build high-performance market-data, feature-computation ...

Staff Software Engineer**London, UK About the role Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic … production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities. This role owns ...

capabilities across the entire Proofpoint product portfolio and external partners.This is a uniquely-challenging role: we empower small teams to deliver robust results, the systems are non-deterministic, and the bar is high. The opportunity for transformational impact is significant. If this excites you, we want … SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field.Prior experience taking agentic or LLM-based systems to production — not just prototypes — including the eval, observability, and rollback story.Deep experience with Python; TypeScript/Node a plus.Hands-on work with agent frameworks ...

with Product and Architecture to shape technical strategy and delivery plans Guide teams building and evolving AWS-native and cloud-based platforms, alongside legacy systems Set and uphold strong engineering standards across code quality, testing, CI/CD, observability and documentation Stay close to technical decisions through design reviews … working Hands‐on experience using or introducing AI or ML tools within engineering teams Technical Foundations Solid understanding of cloud‐native architecture, AWS and distributed systems Proficiency in at least one modern programming language Strong grasp of system design and software engineering fundamentals Experience with Infrastructure as Code ...

proficient in Go, particularly for building backend services, CLIs, or Kubernetes controllers/operators. You are experienced with GitOps and CI/CD systems, and understand how to build reliable, automated delivery pipelines. You understand distributed systems and have experience designing scalable, resilient architectures. You have experience ...

/B tests, shipping iteratively, and constantly improving. We also put a strong focus on observability, monitoring, and metrics, so we can keep our systems healthy and continue optimizing at scale. At Preply, we ship 50-60 times per day, thanks to a solid CI/CD setup … engineering excellence through initiatives that drive customer and business impact, including, but not limited to: Back-end Development: Design, build, and evolve scalable backend systems using Python/Django, driving architectural decisions, creating new services, and owning critical integrations that support Preply's growth; UI Development: Develop and evolve ...

across the entire Proofpoint product portfolio and external partners. This is a uniquely‐challenging role: we empower small teams to deliver robust results, the systems are non‐deterministic, and the bar is high. The opportunity for transformational impact is significant. If this excites you, we want … SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Prior experience taking agentic or LLM‐based systems to production — not just prototypes — including the eval, observability, and rollback story. Deep experience with Python; TypeScript/Node a plus. Hands‐on work ...

standards. Collaborate with product managers, designers, and client stakeholders to translate business requirements into robust technical solutions. Design and implement integrations with internal client systems and external third-party APIs using REST, webhooks, and event-driven integration patterns. Apply software engineering best practices, including SOLID principles, Clean Architecture, Repository … integrating with third‐party APIs, enterprise platforms, and external services. Strong understanding of software design patterns, object‐oriented programming principles, clean code practices, and distributed system design. Experience implementing API security using OAuth2, JWT, OpenID Connect, API Keys, and secure authentication/authorization mechanisms. Experience with relational and NoSQL ...

significant focus on AI/ML-driven products and heavy recent exposure to Generative AI Demonstrated ability to design, build, and scale complex software systems - including cloud architectures, distributed systems, and modern software development practices Deep understanding of the Generative AI ecosystem - frontier models, AI patterns, prompt ...

with significant focus on AI/ML-driven products and heavy recent exposure to Generative AIDemonstrated ability to design, build, and scale complex software systems — including cloud architectures, distributed systems, and modern software development practicesDeep understanding of the Generative AI ecosystem — frontier models, AI patterns, prompt engineering ...

dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers.Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices, e-commerce … Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently.What do you need Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic.Proven ability to deliver high-performance, low-latency systems with a focus ...

dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers.Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices, e-commerce … Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently.QualificationsWhat do you need Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic.Proven ability to deliver high-performance, low-latency systems with a focus ...

operate with safety, trust, and intelligence at scale. You won’t just be integrating AI into a product, you’ll be building the engineering systems that make it trustworthy. Requirements Who You Are 5+ years of software engineering experience, including hands‐on experience shipping agentic or LLM‐backed systems … much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud‐native infrastructure. Cloud‐native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally ...

technology that powers our mission to eliminate identity fraud. This is a high-impact role for an engineer who enjoys solving complex problems, building systems at scale, and influencing technical direction beyond a single team. We're looking for someone who combines strong hands-on engineering with Staff-level … Engineering, Product, Infrastructure, and Data Science to deliver impactful solutions. Drive architectural decisions and improve engineering standards and practices. Build secure, observable, and resilient distributed systems. Mentor engineers and raise the technical bar across the team. Solve challenging production and performance problems at scale. What We’re Looking ...

hands-on software engineering experience (e.g., Go, Python) building developer productivity tools or internal developer platforms, with a strong understanding of the underlying systems, infrastructure, and cloud technologies (e.g., Terraform, Kubernetes, Docker, distributed systems) needed to design effective tooling around them.Experience with capacity planning or designing right … high-velocity, iterative environment, with a bias toward shipping, learning, and continuously raising the engineering quality bar.Experience leading or working with globally distributed engineering teams across multiple time zones.Strong communication skills and the ability to operate calmly and thoughtfully in complex situations, comfortable balancing technical depth with people leadership.AI ...

training. This isn't traditional DevOps. It isn't conventional MLOps. It's a rare opportunity to sit at the intersection of machine learning, distributed systems, cloud infrastructure and robotics. What you'll do:Design and own our large-scale AI training infrastructure.Scale distributed model training across … hundreds of GPUs and multiple cloud environments.Optimise training throughput, GPU utilisation and infrastructure costs.Build the systems that transform vast amounts of simulation data into production-ready models.Develop tooling and frameworks that accelerate research and experimentation.Work directly with our founders and research team to solve bottlenecks at the frontier ...

develop the next generation of electronic trading capabilities. Our work spans signal research, pricing, market making, execution, portfolio construction, risk management, and the production systems that support them. Job Summary As a Quantitative Trading & Research - Quantitative developer in the AI Market Lab, you will work at the boundary … production technology behind AI-driven systematic trading. This role is ideal for engineers who enjoy turning ambiguous research requirements into clean interfaces, fast systems, and reproducible workflows-without losing sight of trading realities like latency, determinism, and operational risk. Job Responsibilities Design and build high-performance market-data, feature ...

dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers. Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices … Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. What do you need? Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic. Proven ability to deliver high-performance, low-latency systems with a focus ...

dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers. Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices … Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. Qualifications What do you need? Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic. Proven ability to deliver high-performance, low-latency systems with a focus ...

applied to financial market data. Our stack includes modern C++ for throughput-critical ingestion and simulation, Python with C++ bindings for research tooling, and distributed computing on HPC clusters. Your work will span exchange-data ingestion, HPC orchestration, simulation, and research tooling. Trading experience is not required; we provide … comprehensive onboarding. Key responsibilities Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams. Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale. Orchestrate and improve reliability of data and compute pipelines on HPC clusters. ...

incident, problem, change, and production support management, with the ability to troubleshoot and resolve complex technical issues under pressure. Understanding of enterprise application architecture, distributed systems, cloud technologies, middleware, databases, and infrastructure components. Experience with monitoring, observability, automation, and operational tooling used to support highly available production platforms. … cloud-native technologies, containerized environments, SRE practices, and modern automation frameworks. Familiarity with ITIL, SRE, DevOps, or technology risk management practices. Experience supporting globally distributed production environments operating in a 24x7 support model. Preferred Qualifications Experience supporting financial technology platforms . Experience with cloud-native technologies, containerized environments ...

strong experience building enterprise-grade applications within financial services environments, with expertise in modern full-stack development, cloud-native architectures, microservices, data platforms, messaging systems, and software engineering best practices. Experience supporting credit investment, lending, portfolio management, or alternative asset management platforms is strongly preferred. This individual will collaborate … engineering standards. Technical Design & Solution Architecture Partner with the VP, Credit Engineering Lead on architecture, system design, and technology decisions. Design application components supporting distributed and microservices-based architectures. Contribute to technical roadmaps and platform modernization initiatives. Evaluate new technologies, frameworks, and development patterns. Ensure solutions meet requirements ...

priorities and deliver custom technology solutions • Analyze complex business and technical problems • Make sound decisions proactively and in a self-directed manner • Provide timely systems support for trading activities Skills and Qualifications • A deep passion for technology and software development • In-depth experience working in Python • The ambition … solve open-ended problems using analytical methods • Knowledge of Linux systems • Strong scripting experience with an ability to integrate various components and systems (in-house and third party) • Professional experience working with distributed systems • Knowledge of SDLC methodologies • Strong communication and interpersonal skills applicable ...

Glance).Strong Ansible/Terraform (or equivalent) and infrastructure lifecycle automation experience.Strong experience with Linux internals.Strong programming skills in Python and C.Experience designing distributed systems and APIs.Experience operating large secure production multi-tenant systems at scale.Strong fullstack domain expertise across one of the following network, storage … environment.“Nice To Have” Skills and Experience:Experience managing hybrid platforms across multiple data centres and clouds.Hands-On experience with Kubernetes and cloud-native systems!Experience with DPU acceleration!In Return:You will work on a modern internal platform used by engineering teams across the organization and globe. ...

platforms and to help hardening the Human Security Layer.You will be expected to:Provide or help providing solution to complex problemsDesign and build reliable distributed systems that handle volumes of data with low latencyMaintain and support business-critical systems where scale and latency are front-of-mindShip ...