1 to 25 of 75 Distributed Computing Jobs in the UK excluding London

We’re representing a high-performance engineering team developing record-breaking control and computing systems that blend software, hardware, and scientific research into a cutting-edge platform. Their technology has already achieved world-first milestones for precision and performance, and they’re now scaling towards full production systems. As a Senior Software Engineer , you’ll lead the design and … development of software that directly drives and monitors complex experimental and control systems. You’ll be working at a deep technical level - designing architectures that bridge embedded systems , distributed computing , and data pipelines , all while maintaining real-time precision and reliability. What you’ll be doing Leading the design and development of control and automation software in C++ … Python , and Rust . Architecting solutions that integrate custom hardware, sensors, and distributed computing systems. Implementing control, synchronisation, and data acquisition logic to run complex experimental setups. Optimising for performance, latency, and stability across multiple software layers. Contributing to architectural decisions, mentoring junior developers, and driving software quality across the team. Collaborating closely with scientists and hardware engineers More ❯

We're representing a high-performance engineering team developing record-breaking control and computing systems that blend software, hardware, and scientific research into a cutting-edge platform. Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates. Their technology has already achieved world-first milestones for precision and performance, and they … and development of software that directly drives and monitors complex experimental and control systems. You'll be working at a deep technical level - designing architectures that bridge embedded systems, distributed computing, and data pipelines, all while maintaining real-time precision and reliability. What you'll be doing Leading the design and development of control and automation software in … C++, Python, and Rust. Architecting solutions that integrate custom hardware, sensors, and distributed computing systems. Implementing control, synchronisation, and data acquisition logic to run complex experimental setups. Optimising for performance, latency, and stability across multiple software layers. Contributing to architectural decisions, mentoring junior developers, and driving software quality across the team. Collaborating closely with scientists and hardware engineers More ❯

and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data … synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience# Remote Type Hybrid Remote Skills to succeed in the More ❯

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 ❯

re looking for someone who; Has impactful experience deploying and maintaining ML systems in production, ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML … frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and non-technical audiences. Is proactive, detail-oriented, and … have any of the following Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems). 3+ years of experience as an ML Engineer, MLOps Engineer, Data Engineer, or similar, in a larger-scale, production-focused environment. Hands-on with model monitoring, observability More ❯

re looking for someone who; Has impactful experience deploying and maintaining ML systems in production, ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML … frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and non-technical audiences. Is proactive, detail-oriented, and … have any of the following Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems). 3+ years of experience as an ML Engineer, MLOps Engineer, Data Engineer, or similar, in a larger-scale, production-focused environment. Hands-on with model monitoring, observability More ❯

re looking for someone who; Has impactful experience deploying and maintaining ML systems in production, ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML … frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and non-technical audiences. Is proactive, detail-oriented, and … have any of the following Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems). 3+ years of experience as an ML Engineer, MLOps Engineer, Data Engineer, or similar, in a larger-scale, production-focused environment. Hands-on with model monitoring, observability More ❯

data. Understanding of data governance, privacy, and security best practices. Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. Experience working with large datasets and distributed computing tools such as Python, SQL, Hadoop, Spark, and optimisation software. As a precondition of employment for this role, you must be eligible and authorised to work in More ❯

SQL (Structured Query Language). 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 orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering More ❯

SQL (Structured Query Language). 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 orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering 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 ❯

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 ❯

markets and quantitative modeling Preferred: Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in More ❯

like NOAA, ECMWF, GFS. Solid grasp of time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll More ❯

like NOAA, ECMWF, GFS. Solid grasp of time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll 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 ❯

Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL). Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns. Previous managerial/mentoring experience and/or operating at a senior/Lead level Excellent communication and problem-solving skills, with More ❯

Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL). Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns. Previous managerial/mentoring experience and/or operating at a senior/Lead level Excellent communication and problem-solving skills, with More ❯

Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL). Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns. Previous managerial/mentoring experience and/or operating at a senior/Lead level Excellent communication and problem-solving skills, with More ❯

teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯