Staff Software Engineer, Consumer Weather Science & AI in Andover

Staff Software Engineer, Consumer Weather Science & AI in Andover

Andover Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of consumer weather experiences using cutting-edge AI and data solutions.
  • Company: Join The Weather Company, the world's leading weather provider with a collaborative culture.
  • Benefits: Enjoy flexible time off, hybrid work, and comprehensive health benefits from day one.
  • Other info: Be part of a dynamic team with excellent career growth opportunities in a global tech leader.
  • Why this job: Make a real impact on how millions interact with weather through innovative technology.
  • Qualifications: 4+ years in software engineering, strong Python skills, and a passion for atmospheric science.

The predicted salary is between 70000 - 90000 £ per year.

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way.

The Consumer Weather Science team sits inside Science and Forecast Operations. We are the science engine behind weather.com, the Weather Channel mobile apps, and labs.weather.com, TWC’s experimentation surface where vertical consumer experiences (sailing, kiteboarding, golf, pollen, hiking, ski, fishing, gardening) are incubated, validated, and graduated into flagship products. We are a small, senior team of scientist-engineers who own the path from atmospheric model output to consumer experience, working closely with product, design, and engineering across the company.

You will own the technical and scientific delivery of one or more consumer vertical experiences. That means translating model output, observations, and AI-derived insights into APIs, data services, and product integrations that serve hundreds of millions of users. Your portfolio will begin with outdoor sports with room to expand into adjacent verticals as the labs pipeline evolves. You will act as the science-side product owner for those verticals: scoping each experience with product and design partners, building or evolving the data backend, orchestrating model-evaluation work with our research scientists, integrating LLM-driven content generation (AI briefings, condition explanations, alerts), and shepherding experiences from lab experiments into flagship. This is a senior individual contributor role. You will set technical direction for your verticals and serve as the science-and-engineering voice in cross-functional working groups.

The impact you'll make:

  • Science-side delivery of consumer vertical experiences from model output through production APIs to user-facing features
  • Data pipelines and APIs that serve forecast products derived from GRAF, MPAS, ECMWF, and TWC ML models to labs experiments and flagship apps
  • LLM-driven content generation in consumer experiences, including prompt engineering, evaluation harnesses, and guardrails
  • Reduction-to-practice work with research scientists
  • Labs-to-flagship graduations, partnering with product owners, designers, and front-end engineers
  • Day-to-day use of AI coding assistants and agentic workflows as part of how the team builds

What you've accomplished:

  • 4+ years of software engineering with demonstrated ability to take projects from concept to production at consumer scale
  • Strong Python in a Linux/Unix environment. TypeScript or JavaScript for front-end integration is a plus
  • Working knowledge of atmospheric science, NWP, or a closely adjacent earth-science domain. You should be a credible scientific partner to our research scientists and able to make sound product calls under scientific uncertainty
  • Demonstrated daily use of AI coding assistants (Claude Code, Cursor, Cline, or similar)
  • AWS experience (S3, Lambda, ECS, API Gateway, SQS/SNS) and modern DevOps practices (CI/CD, IaC)
  • Hands-on production experience with LLM APIs, including prompt engineering, evaluation, guardrails, and observability
  • Comfort working across scientists, designers, product, and external partners. Strong translation skills between scientific nuance and product reality
  • Strong written and verbal communication; comfortable presenting in cross-functional and leadership settings

Nice to have:

  • Advanced degree (M.S. or PhD) in Atmospheric Science, Meteorology, Oceanography, or a related field
  • Experience with meteorological data formats (GRIB, NetCDF, HDF, Zarr) and geospatial processing
  • Experience building consumer or outdoor vertical products (sailing, kiteboarding, golf, ski, hiking, fishing, agriculture)
  • Operationalisation of ML or AI-derived forecast products (downscaling, ensemble post-processing, emulators)
  • Familiarity with LLM observability and routing infrastructure (LiteLLM, Langfuse)
  • Experience working alongside designers and PMs in a labs/experimentation context

Base Salary: $150,000 - $190,000. The base salary offered will take into account internal equity and may vary depending on the candidate’s geographic region of work premises, job-related knowledge, skills, and experience, among other factors.

TWCo Benefits/Perks:

  • Flexible Time Off program
  • Hybrid work model
  • Variety of medical insurance options including a $0 cost premium employee coverage
  • Benefits effective day 1 of employment include competitive 401K match with no vesting requirement, national health, dental, and vision plans
  • Progressive family plan benefits
  • An opportunity to work for a global and industry-leading technology company
  • Impactful work in a collaborative environment

Staff Software Engineer, Consumer Weather Science & AI in Andover employer: The Weather Company

The Weather Company is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among a small, senior team of scientist-engineers. With a hybrid work model, flexible time off, and comprehensive benefits starting from day one, employees are empowered to make impactful contributions while enjoying a healthy work-life balance. The opportunity for professional growth in a leading technology company, combined with the chance to work on cutting-edge weather science and AI projects, makes this role particularly rewarding for those passionate about making a difference.

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Contact Details:

The Weather Company Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Software Engineer, Consumer Weather Science & AI in Andover

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at The Weather Company or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to The Weather Company.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like The Weather Company.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like The Weather Company that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Staff Software Engineer, Consumer Weather Science & AI in Andover

Software Engineering
Python
Linux/Unix
TypeScript
JavaScript
Atmospheric Science
Numerical Weather Prediction (NWP)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at The Weather Company.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Weather Company and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at The Weather Company

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If The Weather Company uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.