1 to 25 of 57 Grid Computing Jobs in the UK

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector … Experience Required) 2 days ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Get AI-powered advice on this job and more exclusive features. Job Description Summary GE … creative, and results-oriented Machine Learning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role, you will be at the forefront of developing, deploying, and validating cutting-edge AI/ML models designed specifically More ❯

to-end calculation test suite. This is an excellent opportunity to gain exposure to a wide range of advanced technology paradigms like high performance grid computing. It will provide significant opportunities to collaborate with teams in the broader internal network including Front Office Technology, Risk and Quant groups, to More ❯

to-end calculation test suite. This is an excellent opportunity to gain exposure to a wide range of advanced technology paradigms like high performance grid computing. It will provide significant opportunities to collaborate with teams in the broader internal network including Front Office Technology, Risk and Quant groups, to More ❯

are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing, validation, and verification of AI/ML models with grid data to ensure they meet … accuracy, performance, and operational standards within energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions. The ideal candidate will have significant experience in the energy sector … specifically in energy systems and grid automation, or in related domains such as smart infrastructure (e.g., connected buildings, utilities) or industrial automation (e.g., SCADA, PLC systems, Industry 4.0). They should have a strong understanding of how to apply data science and data engineering techniques to develop, validate, and More ❯

to new ideas. Flexible and adaptable, capable of working independently or collaboratively. Experience working in a Linux environment with C++ and Python; familiarity with grid computing is a plus but not essential. Ideally, candidates will hold a strong undergraduate degree in a numerate discipline from a top-tier More ❯

Oracle, Distributed Cache, messaging. Extensive experience in building low-level APIs for high-volume, latency sensitive applications, having experience in multi-threading, data structures, grid computing and message oriented middle-ware. Experience contributing to the architecture and design (design patterns, reliability and scaling) of new and current systems. More ❯

Cache, messaging. Extensive experience in designing and building low-level APIs for high-volume, latency-sensitive applications, with experience in multi-threading, data structures, grid computing, and message-oriented middleware. Experience contributing to the architecture and design (design patterns, reliability, and scaling) of new and current systems. Hands More ❯

Bazel, Nextflow, FuseSoC). Hardware EDA tools (simulation, linting, synthesis). SystemVerilog, C/C++, Simulator DPI/VPI. Containerization (e.g., Docker). Distributed computing and orchestration. Jenkins automation. Software templating and rendering. Data engineering, data science, or machine learning. Who we are Imagination is a UK-based company More ❯

Bazel, Nextflow, FuseSoC). Hardware EDA tools (simulation, linting, synthesis). SystemVerilog, C/C++, Simulator DPI/VPI. Containerization (e.g., Docker). Distributed computing and orchestration. Jenkins automation. Software templating and rendering. Data engineering, data science, or machine learning. Who we are Imagination is a UK-based company More ❯

Bazel, Nextflow, FuseSoC). Hardware EDA tools (simulation, linting, synthesis). SystemVerilog, C/C++, Simulator DPI/VPI. Containerization (e.g., Docker). Distributed computing and orchestration. Jenkins automation. Software templating and rendering. Data engineering, data science, or machine learning. Who we are Imagination is a UK-based company More ❯

and batch techniques. d. Infrastructure and Operational – Familiarity with DevOps practices, including CI/CD, automated deployments via Ansible, GIT Repositories. cloud infrastructure offerings, Grid Computing elasticity, and cost optimization. 3) Thorough understanding of Agile delivery methodology 4) Candidate must be able to work in small teams, or More ❯

and batch techniques. d. Infrastructure and Operational – Familiarity with DevOps practices, including CI/CD, automated deployments via Ansible, GIT Repositories. cloud infrastructure offerings, Grid Computing elasticity, and cost optimization. 3) Thorough understanding of Agile delivery methodology 4) Candidate must be able to work in small teams, or More ❯

tools such as Dynatrace, Splunk, and Geneos Proficiency in Unix and SQL Experience with Python scripting Familiarity with ITIL processes and frameworks Exposure to grid computing environments #J-18808-Ljbffr More ❯

technologists, quantitative researchers, and traders. Your team will tackle challenging technological problems, contributing across our full tech stack—from hardware and software development to grid computing. We seek individuals eager to learn new technologies, create innovative solutions, and select the right tools to impact our business positively. You will More ❯

traders. Your team will work closely to solve challenging technological problems by contributing to our full tech stack, from hardware and software development to grid computing. We are looking for individuals eager to learn new technologies to create innovative solutions and choose the right tools to directly impact our More ❯

Swagger), and batch techniques. Infrastructure and Operational – Familiarity with DevOps practices, including CI/CD, automated deployments via Ansible, GIT Repositories. cloud infrastructure offerings, Grid Computing elasticity, and cost optimization. Thorough understanding of Agile delivery methodology Candidate must be able to work in small teams, or alone, for More ❯

Supporting and enhancing a large Linux Server estate running on a mix of VMWare and physical servers (to get best performance from the matching grid computing clusters). Work will include deployments (building the new face matching cluster), troubleshooting (e.g., identifying and resolving problems found during testing), performance More ❯

Development Engineer in Test you will be a key member of an Agile engineering team responsible for developing one of the company's flagship grid computing products that enables insurance clients to scale-up quickly. You'll set up the QA test architecture, developing test frameworks from scratch More ❯

Development Engineer in Test you will be a key member of an Agile engineering team responsible for developing one of the company's flagship grid computing products that enables insurance clients to scale-up quickly. You'll set up the QA test architecture, developing test frameworks from scratch More ❯

Development Engineer in Test you will be a key member of an Agile engineering team responsible for developing one of the company's flagship grid computing products that enables insurance clients to scale-up quickly. You'll set up the QA test architecture, developing test frameworks from scratch More ❯

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 More ❯

to potential sales opportunities Basic Requirements Technical Expertise/Qualifications 5 years UK residency is required for security check A formal qualification (Degree) in Computing Science or equivalent experience Knowledge of Agile Project management principles Person Profile/Core Competencies A high level of communication skills - written and verbal More ❯

to potential sales opportunities Basic Requirements Technical Expertise/Qualifications: 5 years UK residency is required for security check A formal qualification (Degree) in Computing Science or equivalent experience Knowledge of Agile Project management principles Person Profile/Core Competencies: A high level of communication skills - written and verbal More ❯

Required Knowledge Familiarity with capacity expansion, production cost models, or energy-related software. Ability to work with datasets specific to energy systems, such as grid network models, load profiles, and pricing data. Strong knowledge of data wrangling and cleaning techniques, especially for time series, spatial, and network data. Excellent … packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and More ❯

Required Knowledge Familiarity with capacity expansion, production cost models, or energy-related software. Ability to work with datasets specific to energy systems, such as grid network models, load profiles, and pricing data. Strong knowledge of data wrangling and cleaning techniques, especially for time series, spatial, and network data. Excellent … packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and More ❯