18 of 18 Distributed Computing Jobs in the UK

Client is a privately owned technology company operating in a specialist, data-driven domain, currently scaling a complex software platform built around edge computing, distributed systems, and AI workloads. They are seeking an experienced AI Systems Architect to take technical ownership of the core system architecture … Role This position sits at the intersection of systems architecture, backend engineering, and platform reliability. You will design and build the infrastructure that connects distributed edge environments with backend services, ensuring systems are scalable, observable, and robust in production. The role is hands-on and suited to someone ...

workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years in a software or data engineering role, with at least 3 years specifically … rather than "scripts." You anticipate edge cases, data drift, and system failures before they happen. Problem Solving: A proven track record of troubleshooting complex distributed systems and optimizing resource-intensive algorithms. What We Value Reliability: You believe that a model is only as good as its uptime ...

communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. Experience working with large-scale data processing and distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency ...

significant amounts of information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data ...

Spring MVC, and related technologies. Database Technologies: Strong SQL skills; experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and/or NoSQL solutions. Distributed Systems: Understanding of distributed computing concepts and technologies (e.g., microservices, caching, clustering). Testing Frameworks: Experience with JUnit, Mockito, or similar testing ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

complex environments. You will work closely with stakeholders to understand real-world data challenges, transform raw and unstructured data into meaningful insights, and apply distributed compute techniques to manage large-scale, high-volume datasets across batch, streaming, and real-time platforms. Key responsibilities Develop and maintain data ingestion pipelines ...

challenges, transform raw data into meaningful insights, and support analytics and reporting. This includes working with batch, streaming, real-time, and unstructured data, applying distributed compute techniques to handle large datasets efficiently. This is a hybrid role, with time split between the Manchester office and working from home. ...

data models, schema designs, and data architecture frameworks to support diverse analytical and reporting needs. You will build and optimise data processing workflows using distributed computing frameworks available on Azure, our preferred cloud provider. Integrate data from various internal and external sources including databases, APIs, and streaming platforms ...

data models, schema designs, and data architecture frameworks to support diverse analytical and reporting needs. You will build and optimise data processing workflows using distributed computing frameworks available on Azure, our preferred cloud provider. Integrate data from various internal and external sources including databases, APIs, and streaming platforms ...

seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model … optimize next-generation AI infrastructure. Required Qualifications and Skills: Bachelors or Masters degree inComputer Science,Electrical Engineering, or related field. Strong knowledge of distributed systems, operating systems,machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience withLLM serving frameworks(e.g.,vLLM,Ray Serve,TensorRT ...

/ML infrastructure used in production Support model deployment, monitoring and scaling Automate workflows around training, evaluation and deployment Work with GPU-based systems, distributed compute and CI/CD pipelines Partner closely with data scientists and engineers to keep AI systems stable and fast What you bring Strong … background in AI Ops, MLOps, DevOps or Infrastructure Engineering Hands-on experience with Linux, automation, scripting (Python/Bash) Experience with distributed systems and compute-heavy environments Familiarity with containers & orchestration (Docker, Kubernetes or similar) Comfortable operating onsite in Edinburgh 3x/week Nice to have GPU/CUDA ...

Develop and maintain backend services using Java and/or Scala Build modern, user-friendly front ends using Angular or similar frameworks Work with distributed compute and data processing platforms to support AI and data-driven workloads Develop cloud-native solutions on Microsoft Azure Work with both cloud … models, or AI-enabled application development Backend development using Java and/or Scala Frontend development with Angular or similar JavaScript frameworks Experience with distributed compute technologies, such as: Apache Spark Databricks Apache Beam (or similar) Solid experience with Azure cloud technologies Database experience with cloud and relational databases ...

intersection of ML infrastructure, model development, and system design Close collaboration with research and product engineering teams Exposure to large-scale training, inference, and distributed compute challenges High autonomy in a technically ambitious, fast-moving environment Competitive compensation and long-term growth opportunities Your Responsibilities Build and maintain scalable … components for internal platforms and tooling Translate research prototypes and notebooks into production-ready systems Own and improve ML infrastructure components, including data pipelines, distributed compute, and experiment tracking Collaborate closely with cross-functional teams to support end-to-end ML workflows You Will Bring ...

Responsibilities: Create robust, flexible, and scalable machine learning tooling and infrastructure that supports research scientists in leveraging large-scale internal infrastructure (e.g., source control, distributed compute clusters, data storage). Work collaboratively as part of a multifunctional team where communication, documentation, and teamwork are highly valued. Write clean, maintainable … focus on building and maintaining scalable infrastructure. Hands-on experience with PyTorch or similar machine learning frameworks (e.g., TensorFlow). Experience working with distributed systems or high-performance compute infrastructure. 2+ years of experience working with large, complex datasets for machine learning, including data capture and annotation. Demonstrated experience ...