6 of 6 Remote/Hybrid Distributed Systems Jobs in South London

scale the engineering organization responsible for delivering the company's core risk platform. You'll define technical direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection. You'll work cross-functionally with … technical leader in customer evaluations, deployments, and audits. Technical Skills & Required Expertise The role requires deep hands-on architectural and technical leadership across distributed systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data ...

concept Identity & Access Management (IAM) system into production. This is a hands-on engineering role suited to senior Python developers who enjoy building production systems from the ground up and working independently on application development, while collaborating closely with a wider AWS platform team. What you'll be working … building RESTful APIs Experience with relational and non-relational databases Proven experience building applications from scratch and taking them to production Experience supporting production systems handling high traffic AWS & cloud experience 5+ years of AWS (or equivalent cloud) experience Strong understanding of distributed systems architecture Experience with ...

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded … advisers, analysts and banking teams. Your work will focus on: Designing and implementing robust event-driven microservices and APIs Building scalable, cloud-native systems on AWS Developing modern, responsive React front-ends Integrating LLM-powered capabilities into real-world workflows Collaborating closely with product and AI specialists to turn ...

STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning … combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines ...

high-impact project delivering scalable, reliable backend services. You'll work with modern Java-based technologies in a collaborative, delivery-focused environment, contributing to systems that are critical, secure, and built to scale. This is a contract role offering long-term stability, flexibility through remote working, and the opportunity … work on meaningful, production-grade systems. Key Responsibilities Design, build, and maintain robust backend services using Java Develop and integrate event-driven systems using Kafka Build and consume REST APIs to support internal and external services Collaborate closely with product owners, architects, and other engineers Write clean, maintainable ...

execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You'll Do Lead the design and production integration of ML components into a live … high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience with real-time/low-latency systems (streaming data, telemetry, market data, etc.) Familiarity with production ML monitoring/observability practices and tooling Experience with cloud deployment environments (VMs/containers ...