National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Power Systems Engineer

Turner Lovell
Birmingham
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Abu Dhabi, UAE

Senior Data Engineer - Abu Dhabi, UAE

Senior Data Engineer

Data Engineer

Audio Machine Learning Engineer

Lead Data Engineer

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.

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.