20 of 20 Distributed Systems Jobs in the City of London

San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company … to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare opportunity to join at an early stage, with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking … a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological More ❯

San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company … to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare opportunity to join at an early stage, with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking … a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological More ❯

Staff Engineer – Software Development, System Architecture & Distributed Systems Hybrid (London – 3 Days In-Office) | Up to £150,000 + Bonus + Benefits Are you ready to play a key role in scaling one of the UK’s most exciting FinTechs? Our client is a fast-growing, fintech on a mission to redefine how people interact with their finances. … act as a key technical influencer and collaborator, guiding system evolution at scale during a period of rapid growth. What You’ll Do Architect for Scale: Design and evolve distributed, event-driven systems that are robust, secure, and scalable ready to meet the demands of a growing user base and a regulated environment. Drive Technical Excellence: Set and … environments. At least 3 years in a Staff Engineer (or equivalent) role within a fast-moving, product-led organisation and product engineering mind set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with More ❯

Staff Engineer – Software Development, System Architecture & Distributed Systems Hybrid (London – 3 Days In-Office) | Up to £150,000 + Bonus + Benefits Are you ready to play a key role in scaling one of the UK’s most exciting FinTechs? Our client is a fast-growing, fintech on a mission to redefine how people interact with their finances. … act as a key technical influencer and collaborator, guiding system evolution at scale during a period of rapid growth. What You’ll Do Architect for Scale: Design and evolve distributed, event-driven systems that are robust, secure, and scalable ready to meet the demands of a growing user base and a regulated environment. Drive Technical Excellence: Set and … environments. At least 3 years in a Staff Engineer (or equivalent) role within a fast-moving, product-led organisation and product engineering mind set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with More ❯

agents in-product - to join their growing Data Engineering ream. Why You'll Love This Role: Tech at Scale : Work with hundreds of millions of data points daily, using distributed systems and advanced machine learning. Award-Winning Product : Recognised globally for innovation in AI. Remote-First Culture : Work from anywhere in the UK, with flexible hours and full … to deploy ML models. Use Gen AI tools to accelerate development and improve code quality. Contribute to the development of Gen AI agents in-product. Apply best practices in distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems More ❯

Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design complex Spark jobs, asynchronous APIs, and parallel processes Use Gen AI tools to enhance development speed and quality Collaborate in Agile teams … the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi More ❯

their team. This is a fantastic opportunity to join an award-winning tech business where you will have the opportunity to work at the forefront of data architecture, building distributed systems and leveraging Gen AI tools to accelerate development and improve quality. You will be encouraged to explore new ways to utilise modern technologies and will be positioned … other members of the technical team whilst leading innovative technical projects. As part of this role, you will be responsible for some of the following areas: Design and build distributed data pipelines using languages such as Spark, Scala, and Java Collaborate with cross-functional teams to deliver user-centric solutions Lead on the design and development of relational and … machine learning models into production To be successful in the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and distributed systems Experience working with orchestration tools such as Airflow Familiarity with cloud technologies (AWS or GCP) Hands-on experience with Gen AI tools for coding and debugging This 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 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 (EKS/ 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 ❯

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML More ❯

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML More ❯

CLR, and scalable application design Deep understanding of Azure services (Functions, App Services, AKS, Logic Apps) Hands-on experience with Azure Cosmos DB (query optimisation & throughput management) Familiarity with distributed systems and NoSQL data modelling Proficiency with Git, version control, and CI tools Desirable: Advanced proficiency in C#, ASP.NET, .NET Core with strong object-oriented design principles Interested More ❯

incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure. The ideal candidate will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, Apache Flink, Kafka, and Python. This is a fantastic opportunity to step into a SRE … DevOps role *Strong knowledge of Apache Flink, Kafka, and Python in production environments *Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) *Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further roles, please click 'Apply Now' or contact Tommy More ❯

advancements. Represent the company in engagements with Microsoft teams and events. What You'll Bring Passion for engineering excellence and mentoring others. Strong analytical and communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG More ❯

VXLAN EVPN-based data center networks that support hypercomputing and AI infrastructure. This role is central to enabling the high-performance, low-latency environments required for multi-GPU clusters, distributed training pipelines, and scalable AI workloads. The ideal candidate will bring deep expertise in VXLAN, BGP, EVPN, RoCEv2, and fabric-based networking, along with a solid understanding of the … networking needs, including RoCEv2, DCB, PFC, and RDMA optimization. •Hands-on experience with automation and orchestration tools such as Python, Ansible, and Terraform. •Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional More ❯

VXLAN EVPN-based data center networks that support hypercomputing and AI infrastructure. This role is central to enabling the high-performance, low-latency environments required for multi-GPU clusters, distributed training pipelines, and scalable AI workloads. The ideal candidate will bring deep expertise in VXLAN, BGP, EVPN, RoCEv2, and fabric-based networking, along with a solid understanding of the … networking needs, including RoCEv2, DCB, PFC, and RDMA optimization. •Hands-on experience with automation and orchestration tools such as Python, Ansible, and Terraform. •Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional 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 ❯

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 ❯

Qualifications: Experience: 7+ years of experience in data engineering and solution delivery, with a strong track record of technical leadership. Deep understanding of data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering … understand data needs and develop solutions. Understand requirements from operations and product to ensure data and reporting needs are met Implement data quality checks, data governance practices, and monitoring systems to ensure reliable and trustworthy data. Optimize performance of ETL/ELT workflows and improve infrastructure scalability. More ❯

Qualifications: Experience: 7+ years of experience in data engineering and solution delivery, with a strong track record of technical leadership. Deep understanding of data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering … understand data needs and develop solutions. Understand requirements from operations and product to ensure data and reporting needs are met Implement data quality checks, data governance practices, and monitoring systems to ensure reliable and trustworthy data. Optimize performance of ETL/ELT workflows and improve infrastructure scalability. More ❯