Meteorologist

Meteorologists play a crucial role in understanding and predicting weather patterns, which impacts everything from agriculture to disaster management. Their expertise not only helps safeguard lives and property but also drives economic decisions across industries in the UK and globally.

Meteorologist

28

Physical Sciences

AI IMPACT
AI CAN DO28%moving to73%
THE DOOR, NOWB
THE DOOR, 20 YRSD
STARTING PAY£28,000 - £35,000
NO MOATNo physical, legal or personal barrier protects this work from software.
AI helps here, but has not taken over
AI can already do some of this job, but the day-to-day work still leans on a person to decide, check and take responsibility. Nothing formally protects this job though, so the safest move is to keep building the judgement AI cannot yet copy.

Career progression path

Is this the only route?

This is the standard academic trajectory, but modern careers are highly flexible. You can often skip stagesby entering the industry with an advanced qualification (like a Master's or PhD), or pivot sideways from a related discipline.

0ACADEMIC FOUNDATIONUniversity DegreeUsually 3 to 4 years of full-time academic study, explicitly preparing you for the theoretical realities of the industry. Requires A-Levels, BTECs, or equivalent Level 3.-£85,950Avg. UK tuition & living
1FIRST STEPJunior MeteorologistIn this role, you will assist senior meteorologists in data collection and analysis, gaining hands-on experience in forecasting and reporting.£28,000 - £35,000
2GAINING EXPERIENCEMid-Level MeteorologistYou will take on more responsibility, developing forecasts independently and leading projects while mentoring junior staff.£40,000 - £55,000
3PEAK CAREERSenior MeteorologistIn this senior role, you will oversee teams, drive research initiatives, and represent your organisation in public forums and conferences.£70,000+

Recommended UK degrees

Real courses that qualify you for this career, from the same register that priced the degree above.

Careermash

Careermash: navigate your career path with real data. Explore career profiles, salary benchmarks, AI impact forecasts, and the qualifications you need to get there.


AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

Part of the Sand Education ecosystem:Spill.orgWhatSchool.aiWhatCareer.netCourseMash.org