576 to 600 of 852 Distributed Systems Jobs in London

translate probabilistic and Bayesian models into deployable algorithms that operate on real-world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi-sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop … models that can operate on-device or in distributed systems with constrained connectivity. Responsibilities Design and develop machine learning algorithms for physiological signal analysis and risk detection Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks Develop models combining vital signs, motion data, and contextual ...

Demonstrated success delivering large-scale technology transformation programmes. Deep domain expertise in one or more of the following: Banking platforms Payments FX and Treasury systems High-volume transaction processing environments Strong understanding of both Legacy and modern technology estates. Significant experience designing and implementing: Event-driven architectures Distributed systems Cloud-native solutions API ecosystems Experience working within highly regulated environments. Track record of influencing and partnering with executive-level stakeholders. ...

leading edge of investment management. We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only … understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting. You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing ...

implementation, launch, and ongoing production support. Unlike a traditional Solution Architect role, you'll be expected to contribute directly to technical execution, navigate production systems, investigate issues, and work closely with engineering teams to deliver solutions. You'll frequently work across customer teams, vendors, and internal stakeholders to troubleshoot … backgrounds. Context-aware precision in both written and verbal communication. Strong problem-solving and troubleshooting skills. Ability to quickly understand new technical domains and systems without requiring extensive prior domain expertise. Proven success in customer-facing technical roles where ambiguity, incomplete information, and changing requirements are common. Comfortable owning ...

London is hiring a Staff Software Engineer – AI to shape product and technical direction. The role is hands-on and requires building production AI systems across Python, TypeScript, and cloud infrastructure. The ideal candidate has 8+ years of software engineering experience, strong Python/backend skills, and a track … record in AI/ML or LLM-based products. Familiarity with distributed systems and Kubernetes is essential. On-site, London location. #J-18808-Ljbffr ...

impact. What You'll Do As a Senior Software Engineer - Java, Node.js & AWS, you will: Design, build and maintain scalable, secure and resilient backend systems using modern Java, Node.js and the Spring ecosystem. Lead technical design and architectural discussions, ensuring solutions are maintainable, performant and aligned with best practices. … wider Spring ecosystem NodeJS Spring Data JPA/Hibernate Spring Security including OAuth2 and JWT REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development CI/ ...

platform and infrastructure-level products in London. You will lead testability at the architecture level, automate validation across environments, and manage delivery risk in distributed systems. You will define standards for testing distributed systems, enable observability-driven debugging, automate validation of availability and latency, and contribute ...

exchange connectivity to risk and market data systems. We move fast, operate at scale, and expect our engineers to take direct ownership of production systems that impact live trading P&L. We are looking for a hands-on Rust engineer to join our High-Frequency Trading team. This … components that sit closest to the market: order management, feed handling, and strategy execution. The successful candidate will have direct experience building these systems in production and will be comfortable working at the systems level – networking, parsing, and latency optimisation. Order Management System (OMS) development and maintenance Feed ...

intersection of product innovation and global partnerships, working closely with Solutions Engineering, Implementation Success and Business Development teams, building scalable and robust systems that power our global payment network with partner banks and enterprises across the world. This is a hands‐on leadership role. You’ll be guiding engineers … driving technical decision‐making, collaborating with the team’s Product Manager to deliver reliable, scalable systems that power the future of Wise’s payment platform. What You’ll Be Doing Lead and coach engineers, own hiring, mentoring and performance to grow technical capability and delivery impact. Translate product strategy ...

client stakeholders to translate business goals into technical solutions. Drive engineering excellence — testing, observability, performance and security best practice. Contribute to internal frameworks, design systems and reusable libraries across our consulting practice. What we're looking for 5+ years of professional software engineering experience in production environments Strong … fundamentals — data structures, algorithms, distributed systems Track record of shipping enterprise-grade SaaS or platform products at scale Excellent written and verbal communication; comfortable engaging directly with clients Right to work in the UK Required skills Python PyTorch LLMs MLOps Benefits at SREEYAMSOFT Top-of-market pay with ...

while ensuring enterprise SDLC, vulnerability management, and change management compliance Requirements 12+ years leading platform engineering teams delivering shared services or large‐scale SaaS systems with production operations accountability Demonstrated success building and operating platforms adopted by multiple product teams, including reliability discipline (SLOs), observability, and incident management Strong … hands‐on technical leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI‐powered systems in production, including evaluation, monitoring, observability, auditability ...

evolve state-of-the-art infrastructure Drive delivery of new greenfield projects from the ground up Play a central role in developing robust distributed systems Provide guidance and mentorship to junior engineers Skills Extensive experience in Java development Deep expertise in Kafka Commitment to writing high-quality, maintainable … code Experience or strong interest in low-latency systems Bonus: Familiarity with Hadoop Client: FinTech Firm Salary: Up to £130,000 + Bonus Location: Hybrid (London) Experience: 6-30+ Years #J-18808-Ljbffr ...

Software is looking for a Staff Software Engineer to tackle high-level technical challenges and enhance system scalability. You will resolve technical issues, design distributed systems, and leverage AI tools to improve workflows. Ideal candidates should have experience with production systems at scale, debugging skills ...

/CD pipelines. Demonstrated track record of growing engineers' technical skills, including coaching people into unfamiliar domains, stacks, or disciplines. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, with the ability to guide teams in safely integrating and operating …/ML-enabled solutions. Preferred Qualifications Experience leading a broad technical area, setting technical direction, and driving architecture decisions for distributed systems at scale. Technical breadth across more than one stack or domain (for example backend and frontend, or web and native mobile), and a history of moving ...

next. About the Role Every microsecond in this role carries weight. You'll be building the low latency infrastructure that connects GSR's trading systems to crypto spot and derivatives markets, and the code you ship has a direct line to trading P&L. You'll design and build … trading platform in Rust, working across market data distribution, order placement, and trade and balance management. This is hands-on development on production-critical systems, sitting within a multiregional team of five, working closely with Trading, Quant and Engineering to get solutions into production fast. You'll also shape ...

mobile apps, cloud services, and eCommerce. Our engineering team delivers a reliable, high-quality product at global scale, solving complex challenges across IoT and distributed systems while balancing performance, usability, and real-world constraints. As part of AB InBev, we combine product-focused agility with global reach … critical thinking to ensure secure, reliable outcomes. We prioritise practical experience over formal qualifications, seeking candidates with strong technical foundations, proven delivery of production systems, and the ability to communicate clear design decisions and trade-offs. The Role: .Net Developer (With Cloud Exposure) will contribute to the development ...

enabler, not a gate. About you Strong hands‐on security engineering experience on a real engineering foundation - you have built or run large production systems, and you can threat‐model a payment flow, find the attack path yourself, and drive or build the fix. Experience in regulated payments … track record - you have defined, led, and delivered major, company‐wide technical initiatives, and you set security direction through software design on high‐scale, distributed systems rather than from the outside. The range to move across the four archetypes of staff engineering - tech lead, architect, solver, right hand ...

Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration … distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future ...

Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale. The Messaging Platform powers Spotify’s communications to over a billion users — from … reaches which user, through which channel, and at what moment. We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire ...

Harmonic is seeking a talented Software Engineer to build infrastructure systems from scratch, bridging research and product development. You will develop robust, scalable software behind our product that leverages AI research results. You will tackle complex, distributed systems challenges and contribute across the full software lifecycle. Join ...

guidance algorithms to inform the definition of sensor stacks, which could include IMUs, GPS/GNSS, barometers, magnetometers and advanced image-based positioning systems Analyse real sensor and test data to calibrate sensors and validate performance, closing the simulation-to-real gap Support the specification and execution of tests … state estimation development Have very good skills in Matlab/Simulink Have a solid background in state estimation theory, aerodynamics, stability and control, and systems modelling Have excellent communication skills and the ability to report and present findings clearly and efficiently both internally and externally Possess solid software engineering ...

expand the organization’s scope through demonstrated results. Minimum Qualifications Significant experience leading engineering organizations that include multiple teams and managers. Experience with APIs, distributed systems, platform engineering, developer experience, integrations, or another technically complex B2B ecosystem. Demonstrated success creating prioritization, escalation and operating mechanisms in a high … metrics definition, and performance optimization for high-scale enterprise platforms. Experience with API lifecycle management, OAuth/SSO, developer portals, certification, SDKs, event-driven systems, observability, or partner data access. Experience operating across globally distributed teams and time zones. Benefits and Perks Work from (almost) anywhere ...

enhance software that supports quantitative research operations. Candidates should have a strong background in C++, Linux, and Python, with an emphasis on developing scalable systems for the firm's next phase of growth. Applicants should possess at least 5 years of experience in production-quality coding, alongside a solid ...

make it reliable. You know where models fail and how to design around it. Evals: You’ve written evaluations for non-deterministic systems: test sets, graders, LLM-as-judge, and you know when to trust each. You’d rather measure than guess. Context and tool design: You understand that … downstream call times out halfway through, or an agent takes an action it shouldn’t. You design for it rather than finding out later. Distributed systems: You’ve built and run services at scale, and you know how they fail. Event-driven design with Kafka or equivalent ...

here! Join Apple, and help us leave the world better than we found it. The Apple Services Engineering (ASE) team builds and provides systems and infrastructure that fuel Apple's services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple's software developers … highest quality Apple Services experience. Our services have to scale globally, stay highly available, and "just work." If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you! Description Observability infrastructure is BIG. Operating at our scale ...