15 of 15 Permanent Distributed Systems Jobs in the City of London

We are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days … in the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate model performance … efficiency. Implement scalable solutions for real-time and batch inference. Monitor and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed More ❯

service design, infrastructure automation (Terraform, Flux), and CI/CD Write unit and integration tests with a strong focus on correctness and resilience Deploy to production daily and support systems in a dynamic trading environment What We’re Looking For Strong engineering fundamentals and commercial experience delivering production systems Proficient in at least two of: Rust, Python, React … or SQL/Postgres Experience building APIs (REST, gRPC), microservices, or distributed systems Interest or background in financial systems, trading, or risk (bonus, not required) Experience with cloud infrastructure (especially AWS, Kubernetes) is a plus Fast learner, pragmatic problem-solver, and clear communicator Passion for testable, maintainable, and well-structured code Mindset You take pride in what … working directly with end users to improve their tools You thrive in a fast-paced, front-office setting where priorities evolve You balance autonomy with teamwork and enjoy owning systems end-to-end This is a high-impact, high-trust role for engineers who care about precision, velocity, and collaboration. If you love solving tough problems with clean code More ❯

This is a Front Office role combining core Java development, quantitative research, and systematic strategy implementation, ideal for someone with a deep understanding of equity market microstructure, electronic trading systems, and performance modelling. You'll sit in a globally distributed Quant Trading & Strategy function, working closely with traders, quants, and technologists to research, design, and enhance the execution … Responsibilities: Analyse performance of algorithmic trading strategies using large datasets Optimise market microstructure-aware trading logic and execution tactics Design and implement Java-based business logic for live trading systems Collaborate with quant researchers, engineers, and execution consultants across global offices Act as a technical point of contact on trading algorithm performance and behaviour Required Skills: 3+ years of … core Java development (Java 8+, Multithreading, testing frameworks, DI) Experience with electronic trading systems (preferably equities, agency or prop) Strong understanding of European equities market microstructure Background in quantitative modelling, data analysis, or algorithm design MSc or PhD in a relevant field: Computer Science, Applied Mathematics, Statistics, or similar Desirable Experience: Experience with low-latency systems, high-frequency More ❯

service. As a Backend Software Engineer you will take a lead role in the end-to-end development, optimisation and scaling of the media streaming pipeline, designing and developing systems that process petabytes of data and support high throughput traffic to ensure a seamless playback experience. You'll architect and develop backend services in Go/Golang within a … more often, the offices are seriously cool and offer a sociable environment with a range of perks and experiences. About you: You have experience of building and scaling backend systems using Go/Golang You have experience of developing high availability, high performance systems as well as experience of effective monitoring of distributed systems You have More ❯

cycles Evidence of delivering application from inception, to design, and to production String core Java development skills including streams, lambdas, and advanced concurrency APIs Extensive experience and understanding of distributed systems, developing, profiling, and maintaining multi-threaded, asynchronous applications JVM monitoring, profiling, performance tuning, and debugging. Experience with analysis tools such as JConsole, JVisualVM, Elastic Search/Logstash … Prometheus; Open tracing Extensive experience of test driven development Knowledge of CI/CD on large complex systems Desired skills Experience from working in the Risk or pricing domain in investment banking, either in Front-office, or Market/Credit risk with a good understanding of risk sensitivities and f2b processes. Hands-on experience with dynamic scalability; cloud deployment More ❯

cycles Evidence of delivering application from inception to design, and to production String core Java development skills including streams, lambdas, and advanced concurrency APIs Extensive experience and understanding of distributed systems, developing, profiling, and maintaining multi-threaded, asynchronous applications JVM monitoring, profiling, performance tuning, and debugging. Experience with analysis tools such as JConsole, JVisualVM, Elastic Search/Logstash … Prometheus; Open tracing Extensive experience of test driven development Knowledge of CI/CD on large complex systems Desired skills Experience from working in the Risk or pricing domain in investment banking, either in Front-office, or Market/Credit risk with a good understanding of risk sensitivities and f2b processes. Hands-on experience with dynamic scalability; cloud deployment More ❯

with household name that's leading a digital transformation in the retail and restaurant industry. Looking to hire 3 Mid/Senior Rust Developers to build high-performce, scalable systems that support millions of real-time transactions every day. Location: Hybrid - 2 days per week in our central London HQ Type: Full-time, Permanent Salary …/GCP), Microservices, Event-driven architecture Why join us: Work for a globally recognised consumer brand with a strong tech investment roadmap Use Rust daily to build real-world systems at scale, in production Collaborate with experienced engineers in a modern cloud-native, DevOps-led culture Hybrid setup offering flexibility alongside in-person innovation and collaboration What we're … looking for: 3+ years of hands-on Rust development experience (or strong systems background with proven Rust adoption) Deep understanding of distributed systems, multithreading, and performance optimisation Experience building cloud-native services on AWS, GCP, or similar Engineers who care about clean, efficient code and delivering real business value Bonus: background in retail tech, hospitality platforms, or More ❯

Go routines and channels (Concurrency) Proper handling and management of errors in Go hands on expereince of Packages & Moduldes plus Go Testing Packages Understanding of Restful APIs, Microservices and distributed system AWS Expereince using EC2, Lamda, S3 EBS, RDS/Dyanamo DB and IAM/KMS Understanding GitLab CI/CD , Git Merging, Rebasing & Conflit Reolution Expereince in Containerization More ❯

engineering and data teams. Technical Environment Cloud Infrastructure Lead development and optimisation of AWS-based platform services, including Amazon ECS for container orchestration. Ensure scalable , resilient , and cost-effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration . Define best practices for service-to-service communication and data management . … in technical environments preferred but not essential). Proven success in building and scaling core platforms , cloud infrastructure , developer tooling , and API services . Deep, practical knowledge of AWS , distributed systems , CI/CD , IaC , DevOps principles , and observability tooling . Direct collaboration with engineering/SRE teams on internal tooling and shared services. Track record of delivering More ❯

clients to deliver end-to-end digital product strategies, cloud-native architectures, and transformation roadmaps. Design and implement technical architectures for data-driven products, spanning platforms, APIs, integrations, and distributed systems. Lead the design and delivery of next-gen cloud and data solutions, using platforms like Azure, AWS, Snowflake, and Databricks. Collaborate with multidisciplinary teams to deliver scalable solutions More ❯

. Deep understanding of supervised, unsupervised, and reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model More ❯

Contributing to internal R&D assets and reusable codebases What We’re Looking For Strong experience in software engineering (preferably 5+ years) Proficiency with Python, data processing, microservices, and distributed systems Experience working with Large Language Models (LLMs), RAG pipelines, or similar AI tooling Comfortable owning technical delivery and leading small teams Strong communication skills - able to engage More ❯

ready AI solutions . As a Applied AI Solution Engineer , you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributed systems, and LLMs ✅ Shape AI strategy, mentor engineers , and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we More ❯

managing development workflows Exceptional writing skills - your PRDs and specs are legendary Hands-on experience with user research, usability testing, and iterating based on feedback Technical understanding of AI systems, APIs, and software development Experience with sprint planning, roadmap management, and product quality processes Daily use of AI tools like Anthropic Console, ChatGPT, etc. to enhance your work As … about what they're building Bonus points for: Experience with AI agent frameworks, prompt engineering, or LLM applications Background in taking AI products from concept to market Familiarity with distributed systems and cloud infrastructure Previous work at high-growth AI or developer tool companies Requirements: London-based, full-time onsite position Legal right to work in the UK More ❯

Contribute to platform consistency by identifying patterns, redundancies, or gaps in system behaviors or architecture. Requirements: 3-5 years of experience as a Technical Product Manager, Technical Business Analyst, Systems Analyst, or similar role within Tech, Fintech, and Web3. Strong understanding of software architecture concepts, APIs, and integration patterns. Experience creating system flow diagrams, data models, and functional/… technical specs. Proficient with tools like Jira, Confluence, and Lucidchart. Excellent analytical and communication skills, especially in translating between business and technical perspectives. Interest in blockchain, crypto, and distributed systems. More ❯