treefera - Senior AI/ML Engineer
Requirements
• You take a problem end to end: an ambiguous question becomes a validated model and then a pipeline that runs repeatedly. • You have built deep learning and statistical models for time series or spatial data, with real projects you can walk through in detail, including the parts that did not work. • You can explain and defend every decision in the code you ship, whatever tooling helped you write it. We are enthusiastic about AI-assisted development and equally firm that you own and understand the result. • You are fluent in the Python scientific stack (PyTorch, scikit-learn, scipy, xarray) and in the practices that make work reproducible: version control, experiment tracking, orchestration, cloud infrastructure. • You interrogate data before you model it, you state your assumptions, and you are straightforward about uncertainty when you present a result to people who will act on it. • Experience with weather and climate data: reanalysis products, numerical weather forecasts, weather station records, or forecast verification. • Experience with remote sensing datasets. • Exposure to risk modelling, financial time series, commodity markets, backtesting systematic strategies, and an interest in how a model generates a tradable signal. • Product interview (30 min) • Final cross-functional or executive conversation (If applicable). (30-45 min) • Accessibility: Tell us if you need adjustments, we’ll accommodate. • Right to work: You'll typically need the right to work in the UK, as we aren't generally able to sponsor visas. If your situation is different, tell us and we'll talk it through. • What you’ll gain at Treefera • Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. • Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. • Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. • Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. • Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data.
Responsibilities
• Build and ship forecasting models for environmental and risk signals, from agricultural stress indicators to weather and climate volatility, and take responsibility for how they perform once they are live. • Extend our weather platform by adding new forecast products and capabilities to an established staged pipeline that runs ingestion, standardisation, spatial aggregation, climatology, indices and stress scoring. • Work with satellite data across optical and radar missions to build vegetation stress signals, landcover classifications and land-surface conditions. • Take research from prototype to production: build the infrastructure it runs on, design how it fails and how you'll know, and turn one-off work into orchestrated, reproducible data deliveries our clients rely on. • Shape how the AI team models by improving experiment design, evaluation protocols, documentation and the treatment of uncertainty, and by communicating methods and their limits clearly to technical and commercial colleagues. • WHAT SUCCESS LOOKS LIKE • WHO YOU’LL WORK WITH • You will report to Tommy Lees and work inside the AI pod, partnering closely with the Science team on methods, with Engineering on the platform your models run on, and with Product and Market Intelligence on what the signals need to answer for customers. • INTERVIEW PROCESS & WHAT TO EXPECT • Recruiter screen (30–45 min) • Hiring manager interview (45-60 min)
Benefits
• £85K – £100K • Offers Equity • Offers Bonus • Unlimited leave • Medical insurance (including optical & dental), • Pension scheme, • Group life insurance, • Group income protection, • Cycle to Work scheme, • Company Apple MacBook, • Flexible working hours, • Snacks and drinks in the office, • Monthly team socials • Right to work: You'll typically need the right to work in the UK, as we aren't generally able to sponsor visas. If your situation is different, tell us and we'll talk it through. • Right to work: • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • No – I have full work authorisation • Yes – I will need sponsorship • What about Treefera’s mission and work makes you most excited to apply and how do your experiences prepare you to contribute here? • Do you agree to allow Treefera to contact you about job opportunities for up to 2 years?
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