Senior Power System Engineer

CleanTech Talent
London
1 day ago
Create job alert

Job Description

R&D Senior Power Systems Engineer

Smart Grid technology

UK Remote

Are you looking to work on cutting-edge technologies that have a real positive impact on our planet?

Does innovation, development, collaboration & inclusivity matter to you? If so, this could be the company & opportunity for you!

The Company

An International company that is at the forefront of the energy revolution with their innovative and hi-tech product, whose mission is to ensure worldwide grids are low carbon and are driving a more sustainable, efficient, and resilient energy ecosystem.

The Role – Senior R&D Power System Consultant

You will work closely with R&D and Operational functions to support new product development by applying power systems modelling, signal processing, machine learning, and analysis techniques to ensure new and existing products can be fully delivered.

You will have technical project ownership whilst implementing new technologies relating to power system monitoring and operations.

You will need to interface between TSOs & DNOs, ensuring that products and services are relevant.

Essential Attributes

  • Smart grid technologies from a DSO or TSO environment
  • Deep technical knowledge of power systems
  • PSSE or PSCAD
  • Python
  • Scoping, delivery or operation of Grid, Utility or Energy Services
  • Research and development
  • PMUs
  • WAMS
  • Oscillations, low inertia, high ROCOF and system strength challenge
  • Experience in costing and tendering response related work
  • PhD in electrical engineering or Master’s degree

On offer:

  • Collaboration & inclusive working environment
  • Company Share Options
  • Annual performance-based bonus schemes
  • Private Medical and 4 x life Insurance scheme
  • Long service holiday scheme
  • Holiday purchase scheme
  • Company pension scheme
  • Flexible working patterns
  • Salary - Competitive DOE & Qualifications

What’s next

Please apply with your most up-to-date CV and one of the team will be in touch OR reach out to Daniel Salway for a confidential call.

CleanTech Talent are acting as an employment agency for this position.

J-18808-Ljbffr

Related Jobs

View all jobs

Senior Engineer (Networks)

Senior Electrical Design Engineer

Senior Electrical Design Engineer

Senior Electrical Design Engineer

Senior Electrical Design Engineer

Principal Power Systems Electrical Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.