Career profile · live from the Careermash careers engine
Research / problem-solving

Power Systems Engineer

Power systems engineers design and manage the systems that bring electricity to homes and businesses. They make sure the power grid works safely and efficiently, and they help find ways to use renewable energy like solar and wind.
No degree needed for many routes
AI impact: low££££ payDirect entry route
32
AI impact
how much AI is reshaping it
Robin · your guide
Curious about being a power systems engineer? Here's the honest picture - what you'd really do, what you'd earn, and every way in. No need to decide anything yet.

What you'd actually do

As a power systems engineer, you work on the systems that deliver electricity where it needs to go. You'll use computers to test how the system works, spot problems, and design ways to make it better. You might check that everything is safe and follows the rules, or work on new ideas to improve how power is delivered.

You'll work with other engineers, project managers and customers to plan and build systems that work. Some days you're at a desk using software; other days you're out checking equipment. It's technical work that needs good problem-solving skills, and you get to know that your work keeps the electricity flowing to millions of people.

1Conducting detailed analyses of power system performance and reliability.
2Designing and implementing new electrical systems and components.
3Collaborating with multidisciplinary teams to solve complex energy challenges.
4Using simulation software to model power systems and predict their behavior.
5Performing field tests and inspections to ensure compliance with safety standards.
6Monitoring and troubleshooting existing systems to optimize performance.
7Preparing technical reports and documentation for stakeholders.
8Staying updated on industry trends and technological advancements.

Career progression & pay

01
Getting in

Junior Power Systems Engineer

£30,000 - £38,000
Bachelor's degree in Electrical Engineering or related field.
In this entry-level position, you will assist senior engineers in designing and analysing power systems. You will gain hands-on experience with software tools and contribute to project documentation.
02
Building up

Mid-Level Power Systems Engineer

£45,000 - £55,000
Bachelor's degree plus relevant experience; possibly a Master's degree.
At this stage, you will lead projects and take on more complex analyses. You will be responsible for client interactions and ensuring project milestones are met.
03
At the top

Senior Power Systems Engineer

£70,000+
Extensive experience in power systems engineering; professional registration (e.g., IET Chartered Engineer).
In a senior role, you will oversee large-scale projects, mentor junior engineers, and drive innovation in energy solutions. You will play a key role in strategic planning and decision-making.

Degrees that lead here via Agriculture

Apprenticeships that lead here

Who hires - top UK employers

National Grid
The National Grid is responsible for the electricity transmission network in England and Wales, ensuring reliable energy supply.
Siemens
Siemens is a global technology company with a strong focus on electrification, automation, and digitalisation in the energy sector.
Scottish Power
Scottish Power is a leading energy company in the UK, providing electricity and gas to millions of customers.

AI & the future of this job

Power systems engineers sit in a strong position relative to AI disruption. The core of their work involves physical infrastructure, regulatory compliance, safety-critical field judgement, and navigating the genuinely complex and site-specific realities of the UK grid. AI tools are increasingly useful for simulation, load forecasting, and fault analysis, but they assist rather than replace the engineer making decisions about real hardware carrying real risk. The energy transition is also generating a surge in demand for this specialism, which acts as a strong buffer against any displacement pressure.
Within 5 Years
Modest workflow enhancement
Over the next five years, AI will increasingly automate the more repetitive analytical tasks such as basic load flow calculations, report generation from sensor data, and preliminary fault diagnosis. Graduate roles will shift slightly, with less time spent on manual simulation setup and more on interpreting AI-assisted outputs and making engineering judgements. Demand for power systems engineers overall is rising fast enough that this reallocation of tasks is unlikely to reduce headcount. Expect your toolkit to change, but not your employability.
Within 10 Years
Meaningful role evolution
By the mid-2030s, AI agents will handle a significant portion of grid monitoring, predictive maintenance scheduling, and performance modelling in near-real time. Engineers will increasingly act as system architects and decision-makers rather than performing these analyses manually. New specialisms around AI-integrated grid management, cybersecurity of smart infrastructure, and distributed energy resource coordination will open up. Those who develop fluency in working alongside these tools, rather than competing with them, will be in the strongest positions.
Within 20 Years
Transformed but in-demand
In twenty years, the power systems engineer's role will look substantially different but remain distinctly human at its core. Physical infrastructure will still need designing, commissioning, inspecting, and adapting to new demands in ways that require grounded engineering accountability. The profession may shrink slightly in headcount as AI handles more autonomous grid management, but the engineers who remain will be higher-skilled and better paid. The energy system will also be far more complex by then, with decentralised generation and storage creating new classes of problem that need human expertise to resolve.
How to stay ahead
Get hands-on with simulation platforms early
Tools like DIgSILENT PowerFactory, PSCAD, and MATLAB Simulink are already industry-standard and are being integrated with AI-driven optimisation layers. Learning these deeply during your degree, rather than treating them as a box to tick, will make you far more useful to employers on day one. Fluency in how AI outputs feed into these environments will become a differentiating skill quickly.
Anchor yourself in the energy transition specialism
Offshore wind integration, battery storage systems, and EV grid impact are where the bulk of new investment and hiring is concentrated in the UK right now. Orienting your dissertation, placements, and elective modules towards these areas gives you a story to tell that aligns with where employers are spending. This is not about following a trend but about matching your skills to genuinely understaffed parts of the industry.
Pursue your IET accreditation pathway from year one
Chartered Engineer status through the IET is a professional credential that AI cannot replicate and that employers in regulated energy infrastructure treat as a serious signal of competence. Understanding the requirements early and building your engineering experience log from your first placement means you are not scrambling to evidence your development after graduation. It also opens doors to roles in National Grid, Ofgem-regulated networks, and government-adjacent infrastructure work.
Build comfort with data and machine learning basics
You do not need to become a data scientist, but understanding how machine learning models generate the fault predictions and grid forecasts you will be working with is increasingly important. A short course in Python for engineers or an elective in data analytics during your degree gives you the ability to interrogate AI outputs critically rather than accepting them at face value. This is exactly the kind of hybrid competence that separates a strong graduate candidate from a forgettable one in technical interviews.

How to get in - your routes

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Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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