22 of 22 Permanent 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 ...

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

Desirable skills/knowledge/experience: Ability to prepare and process datasets for Power BI usage Experience with One Lake, Azure Data Lake, and distributed computing environments Understanding of financial regulations such as GDPR, SOX etc. Spark application performance tuning Knowledge of Docker/Kubernetes ...

Desirable skills/knowledge/experience: Ability to prepare and process datasets for Power BI usage Experience with One Lake, Azure Data Lake, and distributed computing environments Understanding of financial regulations such as GDPR, SOX etc. Spark application performance tuning Knowledge of Docker/Kubernetes ...

Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical … experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services (AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage). Exposure to workflow ...

Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical … experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow ...

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 ...

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 ...

Master’s or PhD) in computer science or a related field Experience in training and deploying LLMs at scale Familiarity with cloud infrastructure and distributed computing environments Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker Knowledge of fine-tuning techniques including LoRA, QLoRA ...

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 ...

Experience Commercial and proven data engineering experience. Hands-on experience delivering solutions on Azure + Databricks . Strong PySpark and Spark SQL skills within distributed compute environments. Experience working in a Lakehouse/Medallion architecture with Delta Lake. Understanding of dimensional modelling (Kimball), including SCD Type 1/2. ...

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. Key Responsibilities Develop and maintain data ingestion pipelines and orchestration workflows Design database schemas and data models ...

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. ...

deployment will also involve an assessment of where on the RFSoC board certain computations should be performed (Application Processing Units, FPGA, or off-board distributed computing), with the role allowing for specialism and knowledge to be gained in these areas. Working autonomously with unprecedented access to the customer ...

/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 ...

/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 ...

/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 ...

Software Product Manager – Real-Time/Distributed Systems Platform We’re looking for a Software Product Manager to own the strategy, architecture and delivery of a next-generation engineering platform used across simulators, HiL rigs, robotics systems and distributed real-time environments. This role is ideal for someone … growth of a small but expanding team. What You’ll Do Own the long-term product vision and roadmap for a multi-site, distributed engineering platform. Shape strategy across distributed systems, robotics middleware and simulator/test-rig connectivity. Translate deeply technical requirements into clear, prioritised platform features. ...