{"id":1479367,"url":"https://alion.io/job/treefera-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":693391,"name":"Treefera","domain":"treefera.com","url":"https://alion.io/company/treefera","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":85000,"max":100000,"currency":"GBP","period":"year","gross":null,"usd_annual":132292},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-29T11:52:20Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-01T02:48:43Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Grow with Treefera\nWe are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set.\nYou’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one.\nIf you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you.\nRole overview\nOwn the models and pipelines that turn weather and satellite data into the risk and market signals Treefera's customers rely on. You will take questions such as where agricultural stress is building this season and how confident we can be about it, and build data pipelines that move from ingestion, through modelling and evaluation, to delivery to a customer.\nWho you are\nYou take a problem end to end: an ambiguous question becomes a validated model and then a pipeline that runs repeatedly.\n\nYou 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.\n\nYou 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.\n\nYou 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.\n\nYou 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.\n\nDesirable requirements (if applicable):\nExperience with weather and climate data: reanalysis products, numerical weather forecasts, weather station records, or forecast verification.\n\nExperience with remote sensing datasets.\n\nExposure to risk modelling, financial time series, commodity markets, backtesting systematic strategies, and an interest in how a model generates a tradable signal.\n\nWhat the job involves\nBuild 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.\n\nExtend 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.\n\nWork with satellite data across optical and radar missions to build vegetation stress signals, landcover classifications and land-surface conditions.\n\nTake 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.\n\nShape 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.\n\nWhat success looks like\nIn your first 30 days you will have the weather and earth observation pipelines running locally, interrogated the system that produces our current signals, and formed your own view on where our pipelines are weakest. By 60 days you will have delivered your first improvement: a new index, a better evaluation, or a forecast product added. By 90 days that work is running in production and someone outside the AI team is relying on its output. By six months you own a signal domain end to end, you are the person Product asks when a number looks wrong, and you can say how confident we should be in it. Within a year you will have shipped a materially better forecasting capability than the one you inherited, with the evaluation evidence to prove it.\nWho you’ll work with\nYou 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.\nInterview process & what to expect\nRecruiter screen (30-45 min)\nHiring manager interview (45-60 min)\nTeam & skills session (45-60 min)\nProduct interview (30 min)\nFinal cross-functional or executive conversation (If applicable). (30-45 min)\nAccessibility: Tell us if you need adjustments, we’ll accommodate.\nRight 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.\nWhat you’ll gain at Treefera\nBuild 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.\n\nWork on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale.\n\nCollaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery.\n\nShip and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning.\n\nDevelop 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.\n\nBe rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence.\n\nDiversity, Equity & Inclusion\nBold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you.\nLearn more about how we think and build\nMany of our engineers, scientists and product leaders share their thinking publicly. Explore the Treeferablog for technical deep dives, research and product perspectives.\nPrivacy notice\nBy applying to Treefera, you consent to the processing of your personal data in line with our Privacy Notice.\nTreefera is an equal opportunity employer. We believe the diversity of our people is as vital as the diversity of the ecosystems we work to protect, and we are committed to building an inclusive workplace where everyone can thrive. We welcome applicants of all backgrounds irrespective of race, colour, ethnicity, national origin, religion, gender identity or expression, sexual orientation, age, disability, pregnancy, or any other characteristic protected by applicable law. Reasonable accommodations are available upon request.","description_format":"text","description_chars":7084,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Earth Observation","Geospatial AI","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-29T20:07:24Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":42,"reasons":["conf:2","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":132292,"is_top_pay":false},"html_url":"https://alion.io/job/treefera-senior-aiml-engineer","json_url":"https://alion.io/job/treefera-senior-aiml-engineer.json","meta":{"generated_at":"2026-10-01T13:02:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4571,"day_limit":5000,"remaining_today":429,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}