20 of 20 Distributed Computing Jobs in England

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 ...

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 ...

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 ...

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 ...

like Hadoop or Spark. • Familiarity with data visualization tools such as Tableau or PowerBI. • Understanding of reinforcement learning. • Knowledge of neural networks. • Experience with distributed computing. • Familiarity with software development methodologies like Agile or Scrum. ...

Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka ...

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 ...

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. ...

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 ...

Responsibilities: - Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage Client’s powerful infrastructure (through 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 code … learning, including capture and annotation.- Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.- Experience working with high performance or distributed compute solutions.- Deployment and continuous integration experience. Preferred Qualifications: - Familiarity with Machine Learning for Audio, multimodal or DSP purposes- Experience writing scalable ML tooling ...

learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments - including hardware/prototype devices on-site. What … maintain scalable Python tooling that supports ML research workflows Improve reliability: fix bugs, optimise performance, and ship iterative enhancements in sprints Integrate with distributed compute, data storage, and internal development systems Work closely with researchers as your \"users\" - gather requirements, translate ambiguity into working software Write clean, maintainable code ...

learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments - including hardware/prototype devices on-site. What … maintain scalable Python tooling that supports ML research workflows Improve reliability: fix bugs, optimise performance, and ship iterative enhancements in sprints Integrate with distributed compute, data storage, and internal development systems Work closely with researchers as your "users" - gather requirements, translate ambiguity into working software Write clean, maintainable code ...

cutting‐edge model code into scalable, reliable systems used in real‐world applications. This is a high‐ownership role suited for someone who loves distributed systems, multi‐GPU scaling, model optimization, and fast iteration. What You'll Do Build and optimize training & inference pipelines for large models (Transformers, SSMs … Diffusion, etc.) Scale workloads across multi‐GPU and distributed systems Optimize model performance, latency, memory usage, and throughput Productionize research code into robust, repeatable systems Work closely with researchers to convert exploratory notebooks into production frameworks Own ML infrastructure components — data loading, distributed compute, experiment tracking Design modular ...

cutting‐edge model code into scalable, reliable systems used in real‐world applications. This is a high‐ownership role suited for someone who loves distributed systems, multi‐GPU scaling, model optimization, and fast iteration. What You'll Do Build and optimize training & inference pipelines for large models (Transformers, SSMs … Diffusion, etc.) Scale workloads across multi‐GPU and distributed systems Optimize model performance, latency, memory usage, and throughput Productionize research code into robust, repeatable systems Work closely with researchers to convert exploratory notebooks into production frameworks Own ML infrastructure components — data loading, distributed compute, experiment tracking Design modular ...

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 ...

Work closely with ML researchers and infra teams What you'll do Build and improve Python-based ML tooling and pipelines Support and scale distributed compute workflows Fix, optimise, and own internal systems used daily by ML teams What we're looking for Strong Python software engineer (4+ years … Experience with PyTorch or TensorFlow Exposure to distributed systems/large-scale compute Comfortable building tools for other engineers or researchers Interested? If you like owning systems and solving real engineering problems, let's talk. ...

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. ...