19 of 19 Distributed Computing Jobs in the City of London

data security best practices Strong problem-solving skills, and the ability to think critically and analytically High experience in documentation and data dictionaries Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders Please can you send me More ❯

maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization More ❯

maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization More ❯

infrastructures for foundation model development Design robust data engineering solutions for complex multi-modal datasets Lead end-to-end model deployment from research prototype to production-ready systems Implement distributed training frameworks and inference optimisation pipelines Collaboration & Mentorship Work closely with cross-disciplinary teams to translate research breakthroughs into practical applications Provide technical guidance and mentorship to junior team … tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly More ❯

infrastructures for foundation model development Design robust data engineering solutions for complex multi-modal datasets Lead end-to-end model deployment from research prototype to production-ready systems Implement distributed training frameworks and inference optimisation pipelines Collaboration & Mentorship Work closely with cross-disciplinary teams to translate research breakthroughs into practical applications Provide technical guidance and mentorship to junior team … tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available Hybrid: up to 2 times in the London Office More ❯

identifying dependencies, interfaces, and technical constraints. Technical roadmap ownership - Work with architects and engineers to maintain the technical roadmap, identifying areas of technical debt or new application components across distributed systems. Technical documentation - Produce and maintain detailed technical and functional documentation, including API specifications, configuration workflows, and integration guides. Stakeholder engagement - Act as a central communication point between product … performance optimisation, latency management, concurrency, and integration considerations. Strong knowledge of networking principles (TCP, UDP, multicast) and experience designing for resilience, throughput, and low-latency data distribution. Expertise in distributed computing and system architectures, including microservices and high-throughput, low-latency systems. Strong knowledge of data architecture and database design, with experience across relational, time-series, and high More ❯

fast with strong backing and real commercial momentum. The Role You will build the foundation that keeps their AI systems running reliably and securely, designing backend services, APIs, and distributed infrastructure. You will have ownership across the stack, contributing to architecture, deployment, and delivery decisions as part of a small, senior team that values initiative over hierarchy. What You … experience building production grade systems Strong coding background in Python/Fast API However, any modern language is OK (we just want amazing Developers!) Experience with databases, APIs, and distributed computing Exposure to cloud infrastructure (AWS preferred) and IaC tools A bias for shipping quickly and learning through iteration Why Join £100,000 – £170,000 base salary + More ❯

fast with strong backing and real commercial momentum. The Role You will build the foundation that keeps their AI systems running reliably and securely, designing backend services, APIs, and distributed infrastructure. You will have ownership across the stack, contributing to architecture, deployment, and delivery decisions as part of a small, senior team that values initiative over hierarchy. What You … experience building production grade systems Strong coding background in Python/Fast API However, any modern language is OK (we just want amazing Developers!) Experience with databases, APIs, and distributed computing Exposure to cloud infrastructure (AWS preferred) and IaC tools A bias for shipping quickly and learning through iteration Why Join £100,000 – £170,000 base salary + More ❯

environment, perfect for someone early in their infrastructure career looking to develop in a world-class engineering team. As a Junior Systems Specialist, you’ll: Help manage and scale distributed compute and petabyte-scale storage systems Install, manage, and monitor Linux (RHEL-based) environments Troubleshoot hardware and software issues across the full stack Build tools and automation scripts using More ❯

environment, perfect for someone early in their infrastructure career looking to develop in a world-class engineering team. As a Junior Systems Specialist, you’ll: Help manage and scale distributed compute and petabyte-scale storage systems Install, manage, and monitor Linux (RHEL-based) environments Troubleshoot hardware and software issues across the full stack Build tools and automation scripts using More ❯

HPC/Orchestration (Slurm/K8s), Prometheus, Grafana, Kibana, Datadog, Elasticsearch, Logstash Linux Engineering/DevOps Team Work across both Linux infrastructure management and DevOps engineering, supporting large-scale distributed compute environments and multi-petabyte storage systems. 50% Linux (RHEL) estate management – distributed compute and high-performance storage 50% DevOps – automation, monitoring, and GCP migration initiatives Troubleshoot hardware … Datadog, Elasticsearch, Logstash, Kafka, Kubernetes This is a rare opportunity to join one of the most advanced systematic trading environments globally, building exposure to cutting-edge infrastructure, large-scale distributed systems, and next-generation automation practices — all within a highly collaborative, technology-first culture. More ❯

HPC/Orchestration (Slurm/K8s), Prometheus, Grafana, Kibana, Datadog, Elasticsearch, Logstash Linux Engineering/DevOps Team Work across both Linux infrastructure management and DevOps engineering, supporting large-scale distributed compute environments and multi-petabyte storage systems. 50% Linux (RHEL) estate management – distributed compute and high-performance storage 50% DevOps – automation, monitoring, and GCP migration initiatives Troubleshoot hardware … Datadog, Elasticsearch, Logstash, Kafka, Kubernetes This is a rare opportunity to join one of the most advanced systematic trading environments globally, building exposure to cutting-edge infrastructure, large-scale distributed systems, and next-generation automation practices — all within a highly collaborative, technology-first culture. More ❯

financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data … in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary More ❯

financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data … in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary More ❯

technology stack—from hardware and operating systems to automation and observability—while gaining exposure to how a world-class investment firm manages its technology infrastructure. Key Responsibilities Manage a distributed compute environment and several petabyte-scale storage systems Install, configure, and monitor RHEL-based Linux environments Troubleshoot hardware and software issues across the stack Develop and maintain automation scripts … a related discipline Preferred Qualifications Experience with modern software development practices (version control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and More ❯

technology stack—from hardware and operating systems to automation and observability—while gaining exposure to how a world-class investment firm manages its technology infrastructure. Key Responsibilities Manage a distributed compute environment and several petabyte-scale storage systems Install, configure, and monitor RHEL-based Linux environments Troubleshoot hardware and software issues across the stack Develop and maintain automation scripts … a related discipline Preferred Qualifications Experience with modern software development practices (version control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and More ❯