1 to 25 of 93 Distributed Computing Jobs in the UK

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 ❯

concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects What More ❯

with Python to build, train, and evaluate models 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. More ❯

building and maintaining data ingestion pipelines and optimising performance. Hands-on experience with open-source data frameworks such as Apache Spark , Apache Kafka , or Apache Airflow . Knowledge of distributed computing and big data concepts. Experience using version control systems (Git) and CI/CD practices. Familiarity with relational databases (PostgreSQL, MySQL, or similar). Experience with containerisation More ❯

building and maintaining data ingestion pipelines and optimising performance. Hands-on experience with open-source data frameworks such as Apache Spark , Apache Kafka , or Apache Airflow . Knowledge of distributed computing and big data concepts. Experience using version control systems (Git) and CI/CD practices. Familiarity with relational databases (PostgreSQL, MySQL, or similar). Experience with containerisation More ❯

building and maintaining data ingestion pipelines and optimising performance. Hands-on experience with open-source data frameworks such as Apache Spark , Apache Kafka , or Apache Airflow . Knowledge of distributed computing and big data concepts. Experience using version control systems (Git) and CI/CD practices. Familiarity with relational databases (PostgreSQL, MySQL, or similar). Experience with containerisation More ❯

building and maintaining data ingestion pipelines and optimising performance. Hands-on experience with open-source data frameworks such as Apache Spark , Apache Kafka , or Apache Airflow . Knowledge of distributed computing and big data concepts. Experience using version control systems (Git) and CI/CD practices. Familiarity with relational databases (PostgreSQL, MySQL, or similar). Experience with containerisation More ❯

building and maintaining data ingestion pipelines and optimising performance. Hands-on experience with open-source data frameworks such as Apache Spark , Apache Kafka , or Apache Airflow . Knowledge of distributed computing and big data concepts. Experience using version control systems (Git) and CI/CD practices. Familiarity with relational databases (PostgreSQL, MySQL, or similar). Experience with containerisation 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 ❯

developing teams, direct and shape the team plan, culture and strategy. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field - 10+ years of industry experience in predictive modeling 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 ❯

Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker or Kubernetes Experience with Infrastructure as Code 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 ❯

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 ❯

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 ❯

maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization More ❯

maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization More ❯

maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization More ❯

maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization More ❯

maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization More ❯

field experience - 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 PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents or publications at top-tier peer-reviewed conferences 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 ❯