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There are very few moments in a career when you get to sell something genuinely new. This is one of them. You’ve spent your career placing rare, considered propositions in front of the most discerning buyers — and you know the best deals are won on trust, provenance and story, not on discounting. We’re going to ask you to do exactly that, with something the market has never seen. Natural capital is emerging as one of the world’s most significant new asset classes, and the commercial market for it is being built in real time. Oxygen Conservation is at the forefront. We’re a fast-scaling business on a mission to protect and restore the natural environment at an institutional scale, aiming for £1 billion of assets under management by 2030 — and we’ll get there by bringing real commercial discipline to conservation. We’ve developed the highest-quality nature-based carbon credits in the world, at record prices, and this is just the beginning. We’re now bringing our portfolio of 2 million premium natural capital credits to market, and this role was created specifically to lead that. You don’t need to come from natural capital — we’ll make you fluent. What we can’t teach is the instinct for a premium sale, the discipline to hold a price, and the relationships that follow you from one deal to the next. Do that here, and you won’t just close landmark deals — you’ll help define how nature is commercialised globally, delivering genuine environmental and social impact alongside financial returns. About You You’ve built your career selling premium — luxury, high-end services or sophisticated B2B environments, partnering with FTSE 100, S&P 500, hyperscalers, infrastructure operators or comparable institutions, where commitment is earned on scarcity, provenance and trust. You understand how procurement and investment committees actually make decisions. You move comfortably across boardrooms and high-trust commercial environments, and you know instinctively that the best outcomes come from genuine relationships, sharp judgement, and the discipline to walk away from the wrong deal. You care passionately about quality, you have an unrelenting commitment to delivery, and you love building relationships with people. Here, you’ll be selling things that have rarely been sold before — helping create the market as you go. Mindset Quality over quick wins: you care about the outcome, not just the deal. The developing natural capital market ruthlessly tests anyone who doesn’t. You’re radically transparent with partners (and with us) when something doesn’t add up, and you walk away when the shape of a deal would compromise quality or integrity. You’re here to make a market, not just hit a target. Pace and patience: OC moves quickly, especially when our market doesn’t. You bring the urgency to operate at our speed and the resilience for the long term — because deals in this developing market don’t close in a quarter, and the work between “yes in principle” and signed contract is where most people fall away. A builder, comfortable in ambiguity: when there’s no playbook, no comparable benchmark and no obvious next move, you’re the person who keeps moving forward. You treat the zero-to-one nature of this role as the appeal, not the risk — and you treat collaboration as the way you build, not friction along the way. The team’s success matters more than your personal pipeline; we have a very rigid “No Dickheads” policy. A learner by instinct: you’ll become genuinely bilingual in the rapidly evolving carbon and biodiversity credit markets — and just as comfortable with the technology that underpins how we make decisions and the products you take to market. Over time, you’ll become the leading commercial figure in the domain. Craft Deal-making as a creative discipline: when a partner says “this doesn’t work for us,” you’ve already prepared alternative shapes — different tenor, volume, commitment — and can walk through them confidently. A translator and a storyteller: you move between conservation science, investor narrative and corporate procurement language without losing fluency in any of them — and you understand that premium propositions are won on story as much as substance, crafting narratives that partners want to be part of. Unreasonable hospitality: your mindset is to solve with generosity. You think about relationships the way Will Guidara writes about them in Unreasonable Hospitality — going beyond competent service to make people feel genuinely seen, anticipating what partners need before they ask, and treating every relationship, not just the biggest, with the same genuine care. Skillset Financial literacy to model your own deals: you can appraise how a credit sale affects an investment return, how pricing decisions ripple through a business model, and articulate both to a board. Technology as leverage: you understand that the right systems, AI tools and data platforms multiply a commercial leader’s impact. You’ll know how to use our proprietary tech to inform pricing, identify the right partners and stay close to a long pipeline — and how to bring AI into your daily workflow as leverage, not novelty. About the Role This role exists to bring our premium natural capital portfolio to market — leading the sale of 2 million high-integrity carbon, biodiversity and wider nature credits to corporate partners and private investors, at prices that align with the uniqueness of our offering. Your primary focus is securing offtake agreements, premium credit sales and long-term strategic partnerships for OC’s natural capital portfolio. Over time, you’ll build on this foundation to extend the commercial model across the wider Oxygen platform — our proprietary data and analytics capability, our talent network and our content engine — maximising the commercial opportunities across the business. The routes to market you build matter beyond revenue. By establishing credible, scalable partnerships, you’ll directly strengthen our investment case — helping demonstrate to capital markets that high-integrity natural capital is not only impactful but genuinely commercially viable at scale. Internally, this role sits at the heart of our business. You’ll work across our three divisions — Conservation, Capital and Intelligence — bringing together our natural capital, data and analytics, investment, legal, finance and marketing capabilities to create commercial propositions that define the market. You’ll work directly with our CEO and alongside teams that have spent years building expertise across carbon markets, biodiversity net gain and peatland restoration — they’ll be your most important resource, and we’ll invest in your literacy across the landscape. Externally, your relationships will span global corporates, hyperscalers, high net worth individuals and other strategic partners who want exposure to high-quality, high-integrity natural capital. This role builds OC’s brand as a premium developer as much as its revenue. Key Responsibilities Own the number: carry responsibility for bringing 2 million premium credits to market — landing the offtake agreements, premium sales and long-term partnerships that define OC’s commercial future. Sell at the top of the market: position our credits at the premium end and defend the pricing that quality deserves. Land landmark partnerships: secure long-term relationships with corporates, investors and strategic buyers that shape the future of the market. Structure category-defining deals: create commercial structures where no established template yet exists. Turn relationships into revenue: build deep, trusted partnerships that compound over years, not quarters. Make the investment case undeniable: ensure every deal strengthens confidence in natural capital as a scalable institutional asset class. Build the market: help define how premium natural capital is bought, sold and valued globally. Commercialise the wider Oxygen platform: unlock new opportunities across our data, analytics and intelligence capabilities over time. Represent Oxygen at the highest level: build our reputation in boardrooms, investment committees and the conversations that move markets. Use AI as leverage: bring AI into your daily workflow to move faster, spot opportunities earlier, and operate at a level traditional commercial teams cannot match. Key Information • Location: Remote within the UK, with regular travel to our estates and to partner meetings as required., • Employment type: Permanent, full-time., • Compensation: A strong base salary and benefits reflecting the seniority of the role. This isn’t a commission-based position — because we never want a reason to push the wrong deal — but we reward the people who help build this market generously. [Reward detail to confirm — e.g. equity / LTIP / recognition — pending group decision], • Closing date: Until we find someone awesome. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

As a Lead Character Artist, you will set the benchmark for character quality and help shape the artistic vision for character development across the project. Support and mentor character artists across different experience levels.

We 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. You’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. If 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. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. 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. Be 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. Diversity, Equity & Inclusion Bold 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. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

We’re looking for an Account Manager Our Account Managers are trusted advisors with the consultative sales skills to be able to explain complex products, convert opportunities and nurture a portfolio of businesses to drive growth. iwoca customers receive a dedicated Account Manager from the point of application, so you’ll have control of the end-to-end customer journey from on-boarding to retention. About us Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We’ve already made several billion in funding available to over 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We’ll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science and a 5-star customer service. Our culture We’re expanding fast across our offices in London, Leeds and Frankfurt. With all this growth, we’re looking for people who want to learn on the job and lead projects, knowing that your ideas will impact thousands of small businesses. Your mission Convert customers and maximise revenue, from onboarding of new prospects to nurturing a portfolio of existing customers. Manage businesses end to end through our customer journey, providing industry leading service levels by exceeding our customer’s expectations. Build and maintain strong, long-lasting relationships with small businesses. You’ll be an expert in SMEs and the business lending market, helping them achieve their goals with the support of iwoca. Adhere to our Compliance framework ensuring all customers are treated fairly. Liaise with varied teams within iwoca, you’ll need to effectively collaborate with Sales, Underwriting, Collections, Quality Assurance and Partnerships teams to achieve the best outcome for your customers. Drive change throughout the business through structured feedback, ensuring we always provide customers with the best possible experience across all aspects of iwoca. Requirements We look for people who are smart, humble, motivated and who are always looking to improve. Ideally you'll have: Proven customer relationship management experience. Consultative sales skills that enable you to understand customer needs and match the right product or service to them. Experience explaining complex products and services to customers. A strong track record of not only meeting, but exceeding KPIs to drive both your and the team’s performance. Brilliant communication skills with an excellent telephone manner and a passion for delighting customers. A growth mindset that is engaged in our mission, helping us to improve how we convert and serve our customers and motivated to collaborate with team mates. Whilst we welcome applications from all qualified candidates, please note that this particular position does not offer visa sponsorship. Candidates must be eligible to work in the UK independently. Work-life balance is incredibly important at iwoca and we offer flexible working so you can make better use of your free time. This is a hybrid role in which you can split your time between the office and home. The salary Our base salary range in Leeds is £30,000 - £37,000 + bonus (OTE 20%). Our base salary range in London is £34,000 - £41,000 + bonus (OTE 20%). We want to pay all of our employees fairly, so that’s why we regularly benchmark salaries based on market rates and to recognise your increasing value to our business. Our benefits We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds and Frankfurt. Events and clubs, like bingo, comedy nights, yoga classes, football… Two company retreats a year, we’ve been to France, Italy, Spain and further afield Plenty of drinks and snacks in our offices We offer a wide range of benefits: Medical insurance from Vitality, including discounted gym membership 25 days’ holiday, an extra day off for your birthday and the option to buy or sell an additional 5 days of annual leave Instant access to emotional and mental health support with our partner, Spill Share options Generous maternity and paternity leave A nursery tax benefit scheme to help you save money Paid volunteering day to support your chosen charity Extra leave if you want to travel or study One-month fully paid sabbatical after 4 years Cycle-to-work scheme Electric car scheme And to make sure we all keep learning, we offer: An L&D budget for everyone, including a book budget Company-wide talks with internal and external speakers Access to learning platforms like Treehouse if you want to learn to code

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! We’re looking for a senior Applied Scientist to lead the design and experimentation of Wayve’s core pretraining datasets for foundation models in embodied AI. This is a high-impact opportunity to shape the data that drives model generalization across cities, embodiments, and reasoning tasks. You'll work across research, data, and engineering teams to build world-class multi-modal datasets and define how we evaluate and improve them at scale. • Lead the design, curation, and analysis of large-scale pretraining datasets for embodied AI, • Develop and run data-centric experiments to optimize training effectiveness and generalization, • Collaborate with cross-functional teams in London, Sunnyvale, and Vancouver on data architecture and strategy, • Define and implement metrics and benchmarks to assess dataset quality and model-data interactions, • Contribute to research outputs, tools, and processes that elevate data as a core lever for progress What you’ll bring to Wayve In order to set you up for success as a Senior Applied Scientist at Wayve, we’re looking for the following skills and experience. Essential • 3–5 years of experience post-PhD, or equivalent experience in industry with a focus on dataset design, multi-modal learning, or pretraining, • Strong applied research track record, including publications in venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, or similar, • Hands-on experience curating, filtering, and scaling large datasets (vision, video, or multi-modal) for machine learning models, • Proficiency with machine learning frameworks (e.g., PyTorch) and large-scale data processing (e.g., Ray, Spark, Flyte and other distributed compute infrastructure), • Ability to design and run scientific experiments to evaluate dataset impact on model performance, • Strong communication and collaboration skills, with experience working across technical and cross-functional teams Desirable • Experience with foundation model training pipelines and data selection for large-scale pretraining, • Familiarity with multi-modal, temporal, or sensor-rich datasets (e.g., video, LiDAR, text), • Contributions to benchmark design, data-centric evaluations, or open-source tooling for dataset experimentation, • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.