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English Teacher - Staines - September 2026/January 2027 \n Location: Staines, SurreySalary: £34,397 - £52,489 per year OR £150 to £270 per dayContract: Full-time, Permanent/SupplyStart Date: September 2026/January 2027 \n Join an Outstanding School and Inspire the Next Generation! \n We work with multiple secondary schools in Staines (Independent & Comprehensive) that are dedicated to providing high-quality education in a supportive and inclusive environment. These English Departments play a central role in fostering a love of literature and language, helping students develop critical thinking and communication skills. \n English Teacher - Staines \n The Role \n We are seeking an enthusiastic and dedicated English Teacher to join our dynamic team. Whether you are an experienced teacher or an Early Career Teacher (ECT), we welcome applicants passionate about delivering engaging lessons in Key Stages 3 and 4, with the potential to teach A-Level English for the right candidate. \n What We Offer \n Here at Academics Ltd, we have strong relationships with numerous secondary schools across Staines, including those with 'Outstanding' Ofsted ratings. We offer both permanent and supply (short-term or long-term) opportunities and can match you with a school that aligns with your career goals and requirements. \n English Teacher - Staines \n What We're Looking For: \n\n • A qualified English Teacher (QTS or equivalent)\n, • Strong subject knowledge and a passion for English Literature and Language\n, • The ability to inspire and challenge students of all abilities\n, • A commitment to fostering high expectations and achieving academic success\n\n English Teacher - Staines \n This is an exciting opportunity to make a real impact in forward-thinking schools that value innovation and professional growth. \n English Teacher - Staines - September 2026/January 2027 \n If you are interested in this exciting new opportunity, Apply Today!ORContact Louis Denison-Foster at Academics - Guildford

Hours: Monday- Friday 9:00am-5:00pm Salary: Competitive \n Are you looking for an exciting opportunity where your skills will shine and your ideas will shape the future? \n At Grundon, we are on the lookout for a dynamic, passionate, and driven Internal Communications & Marketing Executive to join our Marketing team based in Colnbrook. \n This is more than just a job, it’s an opportunity to join a company that is here to show the world that there is more to waste than it seems. Here your contributions will make a real difference as we work towards our shared vision to unlock the potential of waste whilst we are dedicated to leaving a better planet for future generations. \n Reporting into the Marketing Manager, you will play a key role keeping our employees informed, engaged and connected. This is a hands-on role where you'll help deliver clear, timely and meaningful communications across the business - from producing weekly emails and managing various internal communication channels to advising senior leaders on colleague announcements, sharing business updates and leading internal campaigns. \n What will you do \n\n • Support the development and delivery of an effective internal communications strategy, continuously seeking ways to improve and ensure it remains relevant and engaging for colleagues.\n, • Support the maintenance of our online platform GrunHub, working closely with its developer, to assist with communications across digital and physical channels including emails, screens, posters, JotForms and colleague materials, ensuring content is consistent, on-brand and aligned with our tone of voice.\n, • Create and share engaging content that informs and connects colleagues, including articles, photography, video, internal emails and push notifications.\n, • Work with Graphic Designers to develop visual assets across a range of communication channels.\n, • Use analytics, employee feedback, surveys and on-site engagement to understand what resonates with our people and identify opportunities to improve communication and engagement.\n, • Produce regular monthly reports on internal communications performance, sharing insights and recommendations for future focus and improvement.\n, • Support Sales and Client Engagement teams with marketing activities, including customer events such as Waste Awareness Days, to strengthen relationships and support business growth.\n, • Monitor and maintain stocks of promotional materials and sales literature, ensuring teams have the resources they need when they need them.\n\n Why you will like working here: \n\n • A supportive, inclusive, and fun team culture.\n, • Designed to empower you to work where and how you thrive, balancing productivity with lifestyle.\n, • Opportunities for career growth and development.\n, • Competitive salary and great benefits.\n, • A company that values your voice and ideas.\n\n About You \n\n • Degree in Marketing or a related subject such as PR, Communications, Creative Writing or Media Studies (BA, BSc or equivalent),\n, • 1–2 years’ experience in internal communications, PR, or a marketing/communications-related role.\n, • GCSE English at Grade C/3 or above, with A Level English desirable.\n, • Full, valid UK driving licence.\n\n About Grundon? \n Grundon is the UK’s largest family-owned supplier of integrated waste management and environmental services. Founded in 1929, we have developed a distinctive approach that has helped us to maintain a leading position within the waste industry. This approach is underpinned by our commitment to quality of service, innovation and technical progress, together with a genuine and demonstrable concern for the environment. \n Why Grundon? \n At Grundon, we are dedicated to providing diversity, equality, and inclusion. We believe great ideas come from everywhere, and we’re committed to creating a workplace where everyone feels valued, heard, and empowered to thrive. \n If you're ready to take the next step in your career within the dynamic world of waste management and environmental services, this is your opportunity to join one of the industry’s most respected names.

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍Location Remote in the UK | 💰 £24,750 to £29,625 + | ✨ (If you are based in London the minimum salary offer will be £27,250) Please reference any literature that you may refer to, as applications that are highly plagiarised and not your own work. e.g. ChatGPT, will be declined. Your Day to Day; Our Collections team are the financial health heroes at the core of Monzo. They are here to identify and support customers who may be struggling with debt, offering them compassion and options to help. They do this with their top notch understanding of Monzo’s award winning lending products, credit file details and something we call a ‘decisioning process’ - something we’ll teach you all about! You should apply if: • You are able to start on 13th April 2026 and able to attend 7 weeks training, Monday to Friday 9am - 5.30pm, • Prior experience in Collections, Debt Recovery or Customer Service within a contact centre environment experience would be advantageous, • Have a background supporting customers with vulnerability, • You’ll need to have a background supporting customers, • The ability to communicate with customers to the highest standard because we only want the best for them, • You can ask open questions to understand their situation, listen and provide solutions via our in-app chat, outbound and inbound calls and emails, • From time to time things are complex so a keen eye for detail and a high standard of work will really help in this team, • Understanding and keeping up to date with our regulatory obligations and ensuring these are fulfilled in our customer outcomes (in line with the FCA).Most importantly - you live and breathe people and customers like we do The interview process: Our interview process involves 3 main stages: • Please answer the application questions and the 4 scenarios within, • Recruiter Call - 30 minutes, • Competency-based Values and Role Specific Interview - 60 mins approx. ⏰ Your working life and shift requirements • Working hours fall within Monday to Friday 8am to 8pm and Saturday and Sunday 9am - 6pm (37.5 hours a week, remote working)., • Your shift pattern will vary on a weekly basis, but don't worry, we give you plenty of notice in advance., • You're guaranteed 1 full weekend off each month., • We'll guarantee time off on your birthday (if you want it). This will come from your regular holiday balance and provided you have enough to cover it. 🙌 What’s in it for you 💰 £24,750 to £29,625 ➕ plus stock options & benefits 📚£1,000 learning budget each year to use on books, training courses and conferences. ➕ Plus lots more! _. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. _ You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to falahahmad@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else. Please note we will close this role once we have enough applications for the next stages. Please submit your application asap to avoid any disappointment. #LI-REMOTE #LI-FA1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ UK Remote | 💰£29,450 - £37,250 + | ✨ Start Dates: Tuesday 26th May & Monday 22nd June. (Please note: We are currently prioritising placements for our May intake; June start dates will be confirmed once the initial cohort is finalised) Please reference any literature that you may refer to, as applications that are highly plagiarised and not your own work. e.g. ChatGPT, will be declined. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo._ ⭐Our Financial Crime Customer Operations Team: The Shield of Monzo Our Financial Crime Customer Operations team is the frontline defence in protecting Monzo and our customers from the complex threats of economic crime, including sophisticated fraud schemes and global money laundering networks. We are not just a compliance function; we are a critical operational hub focused on safeguarding financial integrity. At Monzo, our operational teams are structured into specialised 'Pillars', each focusing on a specific business area, set of risks, and unique typologies. This allows us to build deep, world-class subject matter expertise where it matters most. The FinCrime Business Banking Pillar In the FinCrime Business Banking Pillar, you will be integral to protecting the entire lifecycle of our business customers from high-growth startups to established SMEs. Our mission within this pillar is to ensure Monzo's business ecosystem remains transparent and trusted. This involves: • Conducting rigorous checks during onboarding and throughout the customer relationship., • Unravelling suspicious activity across a spectrum of financial crime typologies., • Reporting, exiting accounts, and implementing controls when significant risk is identified. The Role: FinCrime Business Banking Senior Investigator As a FinCrime Business Banking Senior Investigator, you will play a pivotal role within our financial crime operations. Your main focus will be completing some of our higher risk, high complexity financial crime tasks on our business accounts, while supporting our Team Managers and coaching our Investigators to achieve our quality and productivity goals. This is a high-impact role where your expertise will directly contribute to Monzo's safety and reputation, and the broader fight against illicit finance. 🔑You’ll play a key role by... • Taking ownership of the most complex FinCrime Business Banking tasks, including Enhanced Due Diligence (EDD) for high-risk businesses, Complex Customer Reviews (e.g, in sensitive areas like Sexual Services flags), and multi-jurisdictional money muling investigations., • Writing, reviewing, and submitting high-quality Suspicious Activity Reports (SARs) to the National Crime Agency (NCA), ensuring they meet the highest legal and evidential standards., • Maintaining a regular schedule on core investigative tasks to sustain your competency levels, directly support the domain’s Service Level Agreements, and remain connected to frontline challenges., • Actively coaching Investigators on complex financial crime typologies, best practice, and performance improvement, to support in driving a culture of excellence., • Working closely with our Operations Analysts, to share emerging trends and ensure that operational guidance is continuously updated and effectively embedded across the domain. 🤩 We’d love to hear from you if… • You can demonstrate an ability to give clear, constructive, and kind feedback that motivates colleagues and enhances performance., • You thrive in a fast-paced environment and can adapt positively and quickly to change be it new guidance, evolving processes, or shifting priorities., • You maintain flexibility in the tasks you are scheduled for and can adapt seamlessly when business needs require changes at short notice., • You are driven by a desire to have a tangible impact on the detection and prevention of financial crime, protecting Monzo and its customers. 🎯 At the interview, we will be looking for you to demonstrate Essential Expertise • Significant and specific experience in conducting end-to-end due diligence (KYB) and investigations on businesses (SMEs, Corporates, etc.) in a regulated financial crime setting., • Proven ability to conduct in-depth, high-quality open-source research and analysis to corroborate customer profiles and transactional activity., • Strong foundational and applied Financial Crime knowledge, specifically deep exposure to Know Your Business (KYB) and Anti-Money Laundering (AML) principles., • A strong understanding of current UK and international financial crime trends and typologies, with particular expertise in those impacting business accounts (e.g. trade-based money laundering, complex shell structures, illicit use of payment services)., • A comprehensive understanding of the UK Suspicious Activity Reporting (SAR) regime, including consent requirements and the legislative framework (POCA). ✚ It will be useful, but not essential if... • You have direct experience of completing Enhanced Due Diligence (EDD) and/or Complex Customer Reviews, and/or have experience writing and reviewing/approving SARs., • You have formal or informal experience of coaching, mentoring, or training peers or more junior members of the team., • You can demonstrate a track record of identifying areas for control/process improvement and successfully working with, or escalating to, relevant stakeholders to implement change., • You hold or are working towards an appropriate qualification relevant to Financial Crime (e.g. ACAMS, ICA Diploma). Shifts - You'll work 37.5 hours per week. This means you'll work Monday to Friday, from 9AM to 5:30PM. You'll also work one full weekend (Saturday and Sunday), once every 4 weeks with 2 set days in lieu when working the weekend. Closing date: Applications are reviewed daily. We will keep this ad live until all vacancies are filled, so we recommend applying as soon as possible Monzo's Culture & Benefits Monzo is a bank built on transparency, fairness, and inclusion. We are building a bank for everyone and are looking for people who can bring diverse perspectives and experiences. 🙌What’s in it for you 💰£29,450- £37,250 ➕ share options. 🎂We guarantee to approve time off on your birthday if it falls on a day you’re scheduled to work and it’s outside of your training period. 📍This role is remote based in the UK 📚£1,000 learning budget each year to use on books, training courses and conferences. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more!_. 🌈 The application journey has 3 key steps • Application questions - Please take the time to answer these, we read them all, • Recruiter call - 30 minute video call, • Hiring Manager interview (values and technical questions) - 60 minute video call #LI-REMOTE #LI-NG Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

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 _.

An English teacher is needed to deliver an inclusive curriculum, inspire students, and contribute to a supportive school environment.

Experienced English teacher needed for a school in Swindon.Immediate start, competitive salary.

English teacher position at Bricklehurst Manor School.

English Teacher needed in Stoke-on-Trent for a 12-month contract, teaching KS3 and KS4 students.Requires QTS and English expertise.

Responsibilities include teaching English Language and Literature across KS3/KS4, planning lessons, and assessing student progress.

Seeking an engaging and adaptable English Teacher for a long-term, full-time role at a secondary school in Lincolnshire, teaching KS3-KS5.

Seeking an English Teacher for a secondary school in Northampton, starting September 2026.Responsibilities include delivering engaging lessons, planning, and assessing curriculum, inspiring students in reading and writing, and supporting all learners.

English Teacher needed for a secondary school in Redditch, teaching KS3 and KS4.

Seeking an enthusiastic English Teacher for a secondary school in Tunbridge Wells to deliver high-quality lessons, plan engaging content, and encourage student interest in English language and literature.

An English Teacher is needed to deliver engaging lessons, tailor teaching for different needs, and create a nurturing classroom environment.

English TeacherLocation: Tonbridge, Kent Salary: £120 – £250 per day (depending on experience and qualifications) Contract: Full-time, Long-term Start Date: ASAPAre you a passionate and dedicated English Teacher looking for a rewarding long-term opportunity in Tonbridge? GSL Education Kent are w

Seeking a Qualified English Teacher (QTS) for a secondary school in Basingstoke, teaching English Language and Literature across KS3-KS4.

Seeking an enthusiastic English Teacher for an 'Outstanding' Secondary School in Slough, starting September 2026.Join a successful English department and create engaging learning experiences.

English Teacher needed for temporary positions in South Yorkshire, delivering engaging lessons for Key Stages 3 and 4.

English TeacherLocation: WV10 Area.Contract: Full-time, initially for the autumn term.An exciting opportunity has arisen for a dedicated and inspiring English Teacher to join a well-established secondary school in the WV10 area from September.The school is seeking a teacher who is passionate about E

Seeking an inspiring English Teacher for a secondary school in Chelmsford to deliver engaging lessons, support literacy, and contribute to curriculum planning.

Seeking an experienced English teacher to join a supportive team at Oakwood High School.The role involves teaching English, specializing in SEND.

Seeking an English Teacher to inspire students with innovative teaching methods, focusing on Literature and fostering a love for reading and writing.

English Teacher needed in Southampton to teach KS3 and KS4.Full-time position with potential for permanence.Requires QTS and strong subject knowledge.

Seeking an enthusiastic English Teacher for secondary schools, open to ECTs and experienced educators.Role involves teaching Key Stages 3 & 4, potentially A-Level.Offers permanent and supply positions.

Seeking a passionate English Teacher for a secondary school in Weymouth, focusing on developing student literacy and confidence.Requires teaching qualification and strong classroom management.

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu