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3 Energy Innovation jobs in the United Kingdom

Data Engineer - Grid Innovation Applications (Energy Sector Experience Required)

Staffordshire, West Midlands GE Vernova

Posted 14 days ago

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Job Description

**Job Description Summary**
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world?
We are seeking a dynamic, forward-thinking, and results-driven Data Engineer to join our Grid Innovation team. This role focuses on designing, building, and maintaining the infrastructure and data pipelines that enable effective data collection, processing, storage, and analysis for cutting-edge AI/ML applications in the energy domain.
Experience in the energy sector, smart infrastructure, or industrial automation is fundamental, as this role supports AI-driven innovation in mission-critical systems with high regulatory and operational complexity.
As part of the CTO organization, reporting to the AI Leader, you will work closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions. You will also support cross-functional initiatives by developing scalable and unified data frameworks to address critical customer problems and enable rapid prototyping and deployment, both at the edge and in the cloud.
**Job Description**
**Essential Responsibilities:**
+ Design and maintain database architectures, schemas, and data models tailored to grid innovation and energy system applications.
+ Utilize efficient data storage technologies (e.g., Relational Databases, Data Lakes, NoSQL) to ensure scalable and secure data access.
+ Build, optimize, and maintain reliable data pipelines for data ingestion, cleaning, transformation, and feature extraction from structured and unstructured sources.
+ Develop and manage integrations with internal and external data sources and APIs to enable seamless data flow.
+ Identify new and relevant datasets to improve product capabilities and decision-making across the business.
+ Automate data integration and transformation workflows for diverse data formats and operational needs.
+ Monitor performance and scalability of data systems, and implement enhancements to increase efficiency and reliability.
+ Apply data governance policies and implement data quality checks to ensure data integrity across systems.
+ Collaborate with Data Scientists, ML Engineers, and other technical stakeholders to deliver relevant, ready-to-use datasets.
+ Work closely with product management and R&D teams to gather requirements and develop innovative data solutions that support product development.
**Must-Have Requirements:**
+ PhD, Master's, or Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field with a focus on data engineering or electric power engineering.
+ Proven experience in the energy sector, smart infrastructure, or industrial automation, such as electric power systems, smart grids, connected buildings, utilities, SCADA/PLC systems, or Industry 4.0 platforms
+ Significant experience in data engineering, with hands-on expertise in building and managing data pipelines.
+ Proficiency in Python, SQL, and at least one other programming language commonly used in data engineering (e.g., Scala, Java).
+ Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
+ Familiarity with cloud platforms like AWS, Azure, or GCP for deploying and managing data systems.
+ Extensive experience with ETL processes (Extract, Transform, Load) and automating data pipeline workflows.
+ Effective communication skills, with the ability to collaborate smoothly with cross-functional teams and resolve conflicts proactively.Adaptability to work in a dynamic, multi-tasking environment, with the ability to address evolving challenges.
**Nice-to-Have Requirements:**
+ Several years of experience in data engineering or a related field, with expertise in designing scalable data solutions.
+ Familiarity with big data technologies like Hadoop, Kafka, or Spark for processing large-scale data.
+ Experience with data visualization tools such as Tableau, Power BI, or similar platforms for building reports and dashboards.
+ Hands-on experience with GraphDB, SQL/NoSQL databases, and data warehousing technologies like Snowflake or Redshift.
At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.
**About** **GEV** **Grid Solutions:**
At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.
**Why we come to work:**
At GEV, our engineers are always up for the challenge - and we're always driven to find the best solution. Our projects are unique and interesting, and you'll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you'll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.
**What we offer:**
A key role in a dynamic, international working environment with a large degree of flexibility of work agreements
Competitive benefits, and great development opportunities - including private health insurance.
**Additional Information**
**Relocation Assistance Provided:** No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience ...

Staffordshire, West Midlands GE Vernova

Posted 14 days ago

Job Viewed

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Job Description

**Job Description Summary**
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world?
We are looking for a passionate, 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 for grid innovation applications. You will play a key role in building systems to test and verify proof-of-concepts, delivering AI-driven solutions both at the edge and in the cloud.
Reporting to the AI Director within the CTO organization, this position offers the opportunity to work collaboratively with Grid Automation product lines, R&D teams, and other business units to create impactful, sustainable, and inclusive solutions across energy systems, smart infrastructure, and industrial automation. Your expertise in automation, AI, and their integration into these domains will be essential in shaping the company's mission to foster innovation, inclusivity, and progress.
**Job Description**
**Essential Responsibilities:**
+ Lead the design, development, and deployment of scalable AI/ML models for grid innovation applications in the energy, smart infrastructure, or industrial automation sectors.
+ Create innovative analytics to optimize grid system performance and product differentiation.
+ Develop AI/ML applications for customer-driven use cases, including predictive maintenance and load forecasting.
+ Validate and verify AI/ML proof-of-concepts in real-world environments, ensuring they meet the diverse needs of our customers.
+ Monitor, maintain, and optimize deployed AI/ML models to continuously enhance their accuracy and performance.
+ Manage the collection, structuring, and analysis of data to enable seamless AI/ML applications.
+ Ensure that models are production-ready and continuously improve in line with emerging needs and technologies.
+ Embrace MLOps principles to streamline the deployment and updating of ML models in production.
+ Collaborate closely with cross-functional teams to identify business challenges and deliver AI-driven solutions that are efficient, equitable, and scalable.
+ Integrate AI/ML solutions effortlessly into grid automation systems, whether in the cloud or at the edge.
**Must-Have Requirements:**
+ Master's or PhD in Computer Science, Information Technology, Electrical Engineering, or a related field.
+ Proven experience in the energy, smart infrastructure, or industrial automation sectors, with expertise in system protection, automation, monitoring, and diagnostics.
+ Strong foundation in AI/ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, and large language models (LLMs).
+ Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
+ Hands-on experience deploying ML models in production environments using MLOps principles.
+ Expertise in relevant AI/ML applications, such as predictive maintenance, load forecasting, or optimization.
+ Proficiency in programming languages such as Python, R, MATLAB, or C++.
+ Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture.
**Nice-to-Have Requirements:**
+ Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala).
+ Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies.
+ Understanding of system automation, protection, and diagnostics in relevant sectors.
+ Experience with deep learning algorithms, reinforcement learning, NLP, and computer vision in applicable domains.
+ Excellent communication, organizational, and problem-solving skills, with a strong emphasis on teamwork, collaboration, and fostering inclusive environments.
At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.
**About** **GEV** **Grid Solutions:**
At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.
**Why we come to work:**
At GEV, our engineers are always up for the challenge - and we're always driven to find the best solution. Our projects are unique and interesting, and you'll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you'll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.
**What we offer:**
A key role in a dynamic, international working environment with a large degree of flexibility of work agreements
Competitive benefits, and great development opportunities - including private health insurance.
**Additional Information**
**Relocation Assistance Provided:** No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
This advertiser has chosen not to accept applicants from your region.

Data Scientist - Grid Innovation Model Development (Energy Sector Experience Required)

Staffordshire, West Midlands GE Vernova

Posted 14 days ago

Job Viewed

Tap Again To Close

Job Description

**Job Description Summary**
Join us in our journey to redefine what's possible with AI and make a lasting impact on the world of Energy.
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world?
We are seeking a dynamic, forward-thinking, and results-driven Data Scientist who will primarily focus on deriving advanced models for grid innovation applications. 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 to drive efficiency and innovation. The ideal candidate should have significant experience in the energy sector, specifically in grid automation and energy systems.
This role will be responsible for designing and building a common framework for data storage, analytics, and AI model deployment. The Data Scientist will work across different functions within Grid Automation (GA) to identify opportunities for leveraging data and AI to solve critical customer problems, improve efficiencies, and develop scalable solutions. This role will also involve developing Proof of Concepts (POCs) and ensuring the deployment of models on edge or cloud-based systems.
**Job Description**
**Essential Responsibilities:**
+ Develop and maintain database structures, schemas, and data models to support AI and machine learning applications.
+ Utilize efficient storage technologies (Relational, Data Lakes, NoSQL, etc.) to manage data storage, access, and security.
+ Design and implement scalable and reliable data pipelines for cleaning, transforming, and extracting features from both structured and unstructured data.
+ Build and maintain integrations with internal and external data sources and APIs.
+ Identify and integrate new datasets that enhance product capabilities and provide actionable insights.
+ Automate the integration of data from various sources into a unified format, tailored to specific business needs.
+ Monitor, optimize, and ensure the scalability of data pipelines.
+ Collaborate with Data Scientists, ML Engineers, and other cross-functional teams to meet data needs for AI/ML models and analytics.
+ Develop and deliver innovative solutions in collaboration with teams across the organization, helping the business leverage AI and data analytics to solve customer challenges.
**Must-Have Requirements:**
+ PhD, Master's, or Bachelor's degree in Computer Science, Electrical Engineering, or a related field with hands-on experience in data engineering.
+ Significant experience in the energy sector, specifically in grid automation or energy systems, with expertise in working with energy-related data.
+ Significant experience in data engineering, specifically in creating and managing data pipelines for structured and unstructured data.
+ Solid experience with database management systems (e.g., relational databases like PostgreSQL, NoSQL databases like Cassandra and MongoDB).
+ Solid expertise in utilizing data storage technologies such as Data Lakes, NoSQL, and relational databases.
+ Solid experience in building scalable and reliable data pipelines for data transformation and feature extraction.
+ Solid proficiency in scientific programming languages like Python, Scala, Java, or SQL.
+ Solid experience with cloud platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics.
**Nice-to-Have Requirements:**
+ Familiarity with big data technologies such as Hadoop, Kafka, and similar tools.
+ Familiarity with version control systems like Git.
+ Experience with GraphDB, MongoDB, SQL/NoSQL, MS Access, and other databases.
+ Ability to work in a collaborative, multi-functional environment, demonstrating a proactive approach and solid communication skills.
+ Familiarity with data warehousing principles and technologies.
At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.
**About** **GEV** **Grid Solutions:**
At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.
**Why we come to work:**
At GEV, our engineers are always up for the challenge - and we're always driven to find the best solution. Our projects are unique and interesting, and you'll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you'll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.
**What we offer:**
A key role in a dynamic, international working environment with a large degree of flexibility of work agreements
Competitive benefits, and great development opportunities - including private health insurance.
**Additional Information**
**Relocation Assistance Provided:** No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
This advertiser has chosen not to accept applicants from your region.
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