Power Systems Engineer

Turner Lovell
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

Data Engineer - Searchability

Computer Vision Engineer - Sports Tracking

Computer Vision Engineer - Sports Tracking

Power Systems Engineer

  • Location: West Midlands, UK
  • Start Date: Q1 2025
  • Salary: £55,000-£75,000 plus benefits
  • Key Experience: Power Systems, Power Electronics, Electrical Engineering, Studies & Design


Are you a power systems professional with expertise in power electronics?

Do you want to work on high profile projects that are at the forefront of the energy transition?

Do you have an interest in offshore, renewables, electrification or marine topics?


Turner Lovell is currently recruiting a Power Systems Engineer for a leading engineering & manufacturing company at the forefront of power conversion and electrification of the world's energy infrastructure. They produce electrical and mechanical equipment for industrial, marine and renewable energy application.Unfortunately they will not be able to provide visa sponsorships for this role.


As a Power Systems Engineer, you will be responsible for delivering power systems designs and power electronic activities to international clients and projects. In this role, you will lead and perform low and medium voltage power systems design activities for naval/commercial marine, energy and industrial projects.


The benefits of this role are training and career development opportunities, working in an international, experienced, multi-disciplinary engineering team. In addition, you will work on high profile projects and contribute to major, global energy technology development.


Key responsibilities:

  • Develop requirements and specifications for equipment like generators, LV/HV switchboards, converters and similar equipment.
  • Conduct Detailed design studies - short circuit, load flow, protection coordination, power quality, harmonics, EMC.
  • Take technical leadership on projects to develop safe, compliant, and cost-effective power system solutions.
  • Engage in the complete range of power systems design activities including modelling, analysis and simulation.
  • Ensure designs meet customer requirements and regulatory compliance.
  • Demonstrate good understanding of Power Electronic Converter system integration.


Ideal background:

  • Degree in Electrical Engineering, Power Systems or similar field (Masters/PhD preferred).
  • Expertise in power systems engineering and equipment.
  • Experience working in power systems design or studies for marine, industrial or defence fields.
  • Chartered Engineer or equivalent, with continuous professional development.
  • Proficiency with simulation/design tools such as Matlab, Simulink, ETAP, DigSilent, PSCAD etc.
  • Willing to secure security clearance in the UK.


If you're a committed professional eager to make an impact in sustainable energy solutions, this could be an exceptional career move. Please apply or contact Anusha Gopalan () for more information.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.