13 of 13 Permanent Distributed Computing Jobs in England

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 ❯

optimization of software systems and computational frameworks that underpin cutting-edge biological and biomedical research. Reporting to the Head of Scientific Compute, this role bridges scientific inquiry and advanced computing, creating scalable, efficient, and reproducible software solutions that enable GBI's researchers to harness complex data analysis workflows. The Research Software Engineer will collaborate closely with scientists, data engineers … experience. At the senior level, the Senior Research Software Engineer will lead the research and development of novel HPC-capable scientific research software such as new approaches to scientific computing, or the integration of novel compute platforms (including novel ASICs and Quantum Computers) into research workflows at GBI. Key Responsibilities: Design and develop high-performance, maintainable, and reusable research … that advance scientific goals. Strong communication skills for explaining technical concepts to scientific audiences and non-specialists alike. Proven track record of mentoring, collaboration, or technical leadership in research computing projects. Technical Expertise At the regular level: Experience working with workflow management systems (Nextflow, Snakemake, CWL, or WDL). Experience integrating software into HPC or cloud environments (AWS, GCP More ❯

challenges and advance biology engineering. EIT fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. The High-Performance Computing (HPC) Engineer within GBI will play a pivotal role in designing, building, and maintaining advanced computational infrastructure to accelerate biological and biomedical discovery and translational research. Working within the … Scientific Computing Facility, the HPC Engineer will design, deploy, and optimise systems that enable large-scale data processing, AI-driven analytics, and simulation workloads across. For example deploying Kubernetes and Slurm to enable real-time data analysis from instruments, MLOps, or scientific workflow managers. We will be hiring either at the regular or senior level, depending on the applicant … position requires technical expertise in HPC system architecture, coupled with the ability to collaborate closely with data scientists, bioinformaticians, and software engineers to ensure seamless, high-performance access to computing resources that support GBI's research mission. At the senior level: This position requires deep technical expertise in HPC system architecture, coupled a proven track record to collaborate closely More ❯

implementation decisions. â Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of … â Knowledge with geoscience software tools and formats: o SEG-Y, Landmark seismic BRICK, CMP, OpenVDS o DSG, Petrel, Kingdom, GeoFrame, or PaleoScan â Familiarity with cloud platforms and distributed computing: o Restful API design and implementation o AWS and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL … programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering More ❯

scale. You'll work across ClickHouse, Kafka, OpenSearch, and Kubernetes environments — ensuring everything runs smoothly, securely, and efficiently. If you enjoy solving complex technical challenges and optimizing large-scale distributed systems, this is the perfect opportunity for you. About Intapp: Intapp, based in Silicon Valley, is a leader in Vertical AI SaaS company, collaborating with over 2,550 professional … You Will Do: Manage, monitor, and optimize ClickHouse clusters in production environments — including schema design, query tuning, replication setup, and capacity planning. Operate and maintain Kafka, OpenSearch, and other distributed systems, ensuring high performance, scalability, and reliability. Deploy, configure, and manage containerized applications and stateful workloads on Kubernetes, following best practices for security and resource efficiency. Implement and maintain … deployments through automation and version control. Design and operate comprehensive monitoring, logging, and alerting systems to enable proactive issue detection and fast resolution. Conduct performance analysis and optimization across distributed systems to enhance resilience and meet SLA targets. Develop and maintain clear technical documentation, runbooks, and operational procedures, collaborating closely with engineering teams to ensure smooth, reliable operations. What 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 ❯

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 ❯

for robotics 7+ years experience as a Senior Software Engineer or ML engineer Demonstrated proficiency in Python, Julia, or R, and related frameworks (PyTorch, Tensorflow, Pandas, Numpy) Knowledge of distributed computing & big data technologies for large datasets (e.g., Spark) and building data pipelines Knowledge of Deep Learning methodologies specific to Computer Vision like YOLO Experience with Annotation tools More ❯

financial institution. Strong programming skills in C++, SQL, C#, and VBA. Python is also desirable. Solid foundation in numerical methods, including Monte Carlo simulations and optimization algorithms. Experience with distributed computing & inter-process communication. Proficiency in multi-threaded programming. Familiarity with Microsoft Office, VC++, VBA, SQL, Access, Oracle. Knowledge of web technologies such as XML, XSLT. Analytical mindset 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 ❯

is a stimulating environment where systems must operate in real-time, requiring robust event-driven architectures, streaming data pipelines, and reactive programming. You'll tackle complex scalability challenges across distributed systems, ensuring speed and reliability under heavy user loads. Security and compliance are central to the platform, so you'll be involved in building secure systems with strong authentication … Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI/CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus on system architecture and compliance Key Responsibilities: Advocating TDD and solid development practices Providing technical leadership and peer development Peer More ❯

experience Additionally, it would be nice to have: Hands-on experience in implementing database internals Experience with abstract syntax trees, lock-free programming & structures, interpreters and compilers, template metaprogramming, distributed computing Solid understanding of graph theory About Memgraph Memgraph is an open-source graph database built for streaming and compatible with Neo4j. Being in-memory and built with More ❯

in modern EW applications. Algorithm 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,you will be crucial to More ❯