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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 _.

As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. Take part in cutting-edge research and bibliogra

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation) Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review) Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth General AI Training Model Evaluation and Evals Trust and Safety Red Teaming Quality Analytics Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation) Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. _ _ By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's _ explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

StackOne is the universal integration layer for modern SaaS products. We’ve raised $24m in 2 years, and we’re backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents. Our customers are established B2B SaaS companies that: Sell to mid market and enterprise buyers Are building AI Agents in the near future Need deep, native integrations to win competitive deals and power their product Value time to integration over building connectors in house We typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO. We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others). In this role, you will conduct research and development around AI, focusing on automating processes and development at StackOne. We're building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. We're convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve. Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions. Managing and updating Data pipelines used for AI use-cases Collaborate with cross-functional teams to identify opportunities for AI integration and automation Optimize and refine existing AI models and applications for performance and scalability Stay current with advancements in AI and LLM technologies, applying new knowledge to StackOne's AI strategy Implement best practices in AI development, ensuring compliance with data privacy and security regulations Document and communicate research findings and development progress to stakeholders Collaborate with other software & AI engineer(s) to deliver larger scale projects Bachelor's degree in Computer Science, Engineering, or a related field (or 3+ years of relevant experience) Familiarity with API development, integration, and SaaS platforms Past experience with AI, specifically Large Language Models and related technologies Excellent problem-solving and analytical skills Strong communication and collaboration abilities Desire to work in a fast-paced, dynamic startup environment Preferable: You’re familiar with Typescript You’ve deployed or managed infrastructure on AWS You will have a lot of freedom and agency to chose and work with the technologies you love. Our tech stack includes: Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, _ Languages & Frameworks: Typescript (Node.js), NestJS, Rails, React, Svelte, Other day-to-day Tools: Postman, Notion, Slack, Jira, Github and more StackOne is one of the fastest-growing embedded integration platforms. Here’s why: It drives down the cost of building integrations by 10x. To add dozens of integrations, you only need to integrate once with our unified API and we take care of the rest. This is way faster, cheaper, and more reliable than building every integration to each tool one at a time (it can take weeks/months per integration). It has a superior architecture: Unlike other Unified APIs, we developed an innovative, fully real-time architecture that does not store their customers’ sensitive data by default. This enables our customers to differentiate themselves on the market with better integrations: better for privacy, better for their product’s user experience, and deeper read/write integrations. StackOne is a better long-term partner: We are the only integration platform to guarantee new integrations as standard, that offers so many sandboxes to support testing and deploying faster, and that has built a strong partnership ecosystem to enable our customers to develop stronger commercial partnerships. 25 days holiday + 1 additional day holiday per year of tenure Participation in the company’s employee share options plan Private health insurance (including dental & optical) Health, fitness and gift card discounts £1,000 for your home office set up + £500/year top-up Paid lunch in the office Annual team offsite to sunny spots (last ones were in Spain and Portugal ☀️) Join one of Europe’s fastest-growing startups Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more Cycle2Work and Electric Cars scheme Hybrid work set up - typically 2d in the office Ready to help us change the game for SaaS integrations? Get in touch and let's chat! We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Mentorship & Technical Excellence: You will elevate the entire ML research engineering organization by conducting rigorous code reviews, hosting paper reading groups, and mentoring research engineers on mathematical fundamentals and experimental design. Deep Research Expertise: PhD or equivalent dee

The role involves evaluating the scientific quality across various research domains and providing feedback to enhance AI model performance. The position offers competitive compensation between $80 and $150 per hour, along with the opportunity to collaborate with leading research labs and experts.

Come join Unity our Ads Applied Research team to help drive the overall Ads strategy for Unity's products and services. In this position you'll be driving our applied research initiatives to improve the optimization and machine learning powering our ad networks, market place and audience tools. Foll

Meta is seeking a Principal Research Scientist to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. AI - Research Scientist (Leadership) Responsibilities. Influence progress of relevant research communities by producing publications.

Have an ML-focused background and engineering and research skills (e. Have experience managing research programs of dozens of technical and non-technical experts. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubti

Obsidian is seeking expert physics researchers to tackle advanced research-level challenges in various physics subdomains.

Principal Research Scientist to join our Fundamental AI Research (FAIR) team, focused on AI breakthroughs. As a leader, you'll drive research strategy, mentor peers, and influence progress across teams. AI research are required, with a strong record of high-impact publications.

A leading applied AI robotics lab in London is seeking an AI Research Scientist to join their elite team.

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London. They are not looking for purely analytical data scientists or academic optimisation specialists. Strong operations research or mathematical optimisation background.

Obsidian is seeking experienced biotechnology research scientists to enhance AI systems' reasoning around biological research.

Eschew traditional lab‑only research for an "iterative deployment" approach, testing your models on real hardware in human‑centric environments like supermarkets to capture unique edge cases. Prototype, ship, and iterate on code that runs on physical hardware, bridging the gap between theoretica

As a Research Scientist or Research Engineer on the Finetuning team, you'll contribute to research on improving language models through techniques like constitutional AI. Have significant Python, machine learning, research engineering, or research experience. The easiest way to understand our resear

Provide structured feedback to improve scientific rigor and research outputs. Meaningful publication history in peer-reviewed research. Mercor connects elite creative and technical talent with leading AI research labs.

Miro is seeking a Lead Research Scientist to drive architectural decisions in their Machine Learning organization.

Inworld AI is seeking talented researchers to join their team, working on cutting-edge real-time voice models.

Crossing Hurdles is seeking a Member of Technical Staff for Finance Research to work remotely. This role involves designing evaluation frameworks for AI agents and conducting original research aimed at enhancing AI capabilities in finance. Candidates should have a PhD in Finance or applicable fields

Inworld is seeking talented AI researchers with a focus on developing real-time multimodal models. The role emphasizes research ownership and aims for impactful outcomes rather than solely academic contributions.

PhDs in science and engineering to engage in collaborative projects with universities and research institutes. The role offers a substantial annual salary ranging from USD 100,000 to 350,000 based on qualifications, along with extensive benefits and support for research.

Inworld, a pioneering AI research lab in the UK, seeks full-time candidates with strong foundations in AI models and evaluations. Ideal applicants hold a PhD or have equivalent experience, particularly in realms of multimodal models and published research.

Join our multidisciplinary team of passionate researchers, eager to push the boundaries of ML research and contribute to industrializing scientific discovery to radically improve lives. Engage with and contribute to open-source libraries developed by Valence and the research community. Collaborate w

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We value researchers who say "I don't know yet" — and then design the expe

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Helping others improve and turn their lives around – there’s no better feeling.It’s what we do for thousands of people at more than 150 sites across the UK.We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new tale

The starting salary for this role is £42,958 per annum, based on a 36-hour working week.This role is a fixed term contract / secondment opportunity until 31st March 2027.We have an exciting opportunity for a Performance Data Analyst to join our Performance and Analytics Team within Adults, Wellbein

We offer high-quality, specialist care to some of the most disadvantaged and vulnerable children in society.Every young person in our care is supported by a team of experienced, empathetic staff within warm, welcoming homes.Our approach is built around emotional safety, trust, and consistent daily r

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Join Our Team and Help People Live Glorious Ordinary Lives.At MacIntyre, we know that the best support starts with meaningful relationships, listening well, and believing in people's potential.We're looking for a passionate Senior Support Worker to join our team and play a key role in helping people

We offer high-quality, specialist care to some of the most disadvantaged and vulnerable children in society.Every young person in our care is supported by a team of experienced, empathetic staff within warm, welcoming homes.Our approach is built around emotional safety, trust, and consistent daily r

Helping others improve and turn their lives around – there’s no better feeling.It’s what we do for thousands of people at more than 150 sites across the UK.We are looking for confident Support Workers with a passion for delivering outstanding care.You'll be working 24, 36 or 42 hours per h

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Play & Youth Club Support Worker.Our client enables those with disabilities, their families, and their carers to lead fulfilling lives.They are now looking for Support Workers to join them, working part-time, seasonal and weekend hours.Joining a dedicated team, you’ll enable our client to achieve

We are currently recruiting for compassionate and reliable Residential Support Workers to join a therapeutic childrens home supporting young people with Emotional and Behavioural Difficulties (EBD).This is a rewarding opportunity to make a genuine difference in the lives of children within a safe, n

Are you compassionate, dedicated, and ready to make a difference?.Our goal is to empower people to live.

Superior Healthcare is recruiting.Senior Community Healthcare Support Workers.This is a rewarding night-shift role working with children who have complex clinical needs within their family homes.Your role will focus on ensuring each child is safe, comfortable, and supported to live a.Outdoor activit

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We are currently recruiting experienced and compassionate.This role involves providing person-centred support to individuals with a range of needs, including learning disabilities, autism, mental health needs, and complex behavioural or emotional support requirements.As a Support Worker in supported

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We are currently recruiting for a compassionate and experienced.This role focuses on providing practical, emotional, and person-centred support to help families overcome challenges, improve wellbeing, build resilience, and promote independence.You will work closely with individuals experiencing soci

Part Time (between 18 and 21 hours per week) and Bank plus School Holidays.Typical shifts are on a 2 week rolling rota and include: Monday 8pm - 8am (Waking Night) and Sunday 2pm -8pm in week 1 and Saturday 8am-8pm and Sundat 8am to 8pm or 2pm - 8pm in week 2.Additional shifts available on bank 3:30

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We are currently recruiting warm, flexible, and motivated individuals to work as peripatetic Support Workers across Tyneside and Durham.You will provide person-centred support to people living in bespoke developments, helping them thrive in their own tenancies.This role involves travelling across No

We are looking for a passionate.As a Senior you will lead a team of support workers to deliver a high standard of care at all times.You recognise that the role is to help support service users maximise their choices, rights and decisions.The successful candidate must have;.NVQ Level 3 in Residential