1 to 25 of 30 Distributed Computing Jobs in the UK excluding London

focusing on data quality, metadata management, and access control. Collaborate with IT and business stakeholders to align data architecture with organizational goals. Evaluate and implement big data technologies and distributed computing frameworks as needed. Maintain expertise in AWS data services and platforms, leveraging cloud capabilities to optimize data infrastructure. Required Skills and Experience: Proven experience as a Data … platforms and related services. Solid grasp of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies such as Spark and Hadoop, and distributed computing concepts. Proficiency in SQL and at least one programming language (e.g., Python, Java). Preferred Qualifications: Relevant certifications in data architecture, cloud platforms, or data governance. Experience 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 ❯

experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. … or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in delivering customer engagements in a professional services role Experience researching about machine learning, deep learning, NLP, computer vision, data science Bachelor More ❯

application platform development, web and mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure. Understanding of distributed computing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects. Expertise in Agile development methodologies like TDD, BDD, Performance/Load More ❯

or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing Experience in building machine learning models for business application Preferred Qualifications Knowledge of NLP, Graphs, Informational Retrieval or Skill Taxonomies Posted: October More ❯

curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment & Scalability Manage the end-to-end deployment of LLMs and foundation models in … AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). More ❯

curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment & Scalability Manage the end-to-end deployment of LLMs and foundation models in … AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). More ❯

with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector database technologies, and Semantic Search techniques & tools. Familiarity with Azure cloud platform services and distributed computing frameworks (e.g., SparkNLP) is a plus. Knowledge of Agentic workflows and frameworks. Experience extracting data from PDFs using Python libraries (e.g., PyPDF, Camelot) and OCR tools like More ❯

orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯

orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯

orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension 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 ❯

scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab). Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience delivering customer engagements in a professional services role. Experience researching machine learning, deep learning, NLP, computer vision, data science. Bachelor's degree and 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 ❯

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 ❯

on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or More ❯

on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or More ❯

on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or More ❯

platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available London up to 2 times a month in the More ❯

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 5 years of work experience in distributed systems. 5 years of coding experience in Java. 5 years of experience in full-stack web development. Preferred qualifications: Master's degree or PhD in Computer Science or related technical … products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. … will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Responsibilities Deliver high-priority features related to the Athena system (e.g., distributed system, Java). Design and develop tooling for partners to support growth of the Android ecosystem, ensuring healthy operation of systems. Collaborate with engineers, non-technical stakeholders and external More ❯

in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills More ❯

+ Benefits Are you passionate about building interactive, user-friendly web applications that make a real impact? We're partnering with a cutting-edge tech company combining distributed computing, simulation, and machine learning to revolutionise urban transport systems - and they're looking for a Front-End Developer to help take their platform to the next level. Why this More ❯

Job Summary We are seeking AI Infra Engineer to design, develop, and optimize distributed AI systems for serverless AI platforms. The successful candidate will leverage expertise in large language models (LLMs), and system design to build robust, scalable solutions. This role offers a unique opportunity to contribute to innovative AI-driven systems, collaborating with cross-functional teams to deliver … high-impact solutions in a fast-paced, research-driven environment. Key Responsibilities Design and implement scalable, distributed systems to support AI-driven workloads, ensuring high performance and reliability. Develop robust software solutions using Python (and potentially C++) to address complex technical challenges in AI and distributed computing. Work within a larger team to rapidly develop proof-of-concept … validate research ideas and integrate them into production systems and serverless infrastructure. Work closely with cross-functional teams to participate in developing innovative AI infrastructure, data systems, and cloud computing technologies. Implement resource scheduling and orchestration mechanisms to ensure efficient execution of distributed tasks. Required: Education: Bachelor's or Master's degree in Computer Science or a related More ❯