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About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing is looking for Portfolio Management experts to work with our researchers to improve the performance of AI models. You will leverage your expertise in asset allocation, portfolio construction, rebalancing strategies, and performance attribution to evaluate and train AI systems. If you enjoy solving complex problems in portfolio management and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: • Evaluate LLM models on portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization., • Create rubrics to assess model capabilities on tasks like performance attribution, benchmark comparison, factor analysis, and rebalancing decisions., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: • 2+ years of experience in Portfolio Management (e.g., mutual funds, hedge funds, pension funds, endowments, or wealth management)., • Strong grasp of modern portfolio theory, asset allocation, risk management frameworks, and investment performance measurement., • Excellent English written communication. Bonuses (Not at All Necessary): • CFA (Level I/II/III), CAIA, or MBA in Finance. Perks of Freelancing with Turing: • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Corporate Legal Specialist – Remote | $100 –$150/hr Part-Time | Remote (US, UK, Canada, or Australia) $100 –$150/hour | Hourly Contract About the Role A leading AI research lab is seeking experienced Legal professionals to join a project aimed at improving how AI systems understand, process, and reason about complex legal concepts. In this role, you will design challenging legal questions, evaluate AI-generated responses, and provide structured insights that shape the future of AI in the legal domain. This is a unique opportunity to apply your legal expertise to cutting-edge AI research while working remotely and flexibly. Key Responsibilities • Develop and review legal questions and evaluation sets across multiple practice areas., • Assess AI-generated legal responses for accuracy, clarity, and logical reasoning., • Solve domain-specific legal problems to benchmark model capabilities., • Synthesize complex legal information from statutes, case law, and academic sources., • Provide structured, detailed feedback to align AI systems with legal standards and practices. Qualifications • Advanced legal education or credentials (e.g., J.D., LL.M., S.J.D., Ph.D. in Law) from a top university., • Strong legal research, analytical, and problem-solving skills., • Exceptional written communication and attention to detail., • Ability to synthesize information across diverse legal sources., • Preferred: prior law practice or industry experience (litigation, corporate, regulatory, etc.)., • Location: Must be based in the U.S., U.K., Canada, or Australia. Project Details • Start Date: Immediate., • Duration: 4 weeks (with extension potential)., • Commitment: Part-time, ~20+ hours/week., • Schedule: Fully remote and asynchronous — work on your own schedule. Compensation & Contract • Rate: $110–$130/hour (USD)., • Performance Incentives: Top performers may earn an additional $20–$100/hour bonus., • Independent contractor engagement., • Daily payments via Stripe Connect. Application & Onboarding Process • Upload your resume and complete the application form., • Participate in a 25-minute model-training interview to discuss your background and expertise., • Receive follow-up within a few business days regarding next steps and onboarding.

Corporate Legal Specialist – Remote | $100 –$150/hr Part-Time | Remote (US, UK, Canada, or Australia) $100 –$150/hour | Hourly Contract About the Role A leading AI research lab is seeking experienced Legal professionals to join a project aimed at improving how AI systems understand, process, and reason about complex legal concepts. In this role, you will design challenging legal questions, evaluate AI-generated responses, and provide structured insights that shape the future of AI in the legal domain. This is a unique opportunity to apply your legal expertise to cutting-edge AI research while working remotely and flexibly. Key Responsibilities • Develop and review legal questions and evaluation sets across multiple practice areas., • Assess AI-generated legal responses for accuracy, clarity, and logical reasoning., • Solve domain-specific legal problems to benchmark model capabilities., • Synthesize complex legal information from statutes, case law, and academic sources., • Provide structured, detailed feedback to align AI systems with legal standards and practices. Qualifications • Advanced legal education or credentials (e.g., J.D., LL.M., S.J.D., Ph.D. in Law) from a top university., • Strong legal research, analytical, and problem-solving skills., • Exceptional written communication and attention to detail., • Ability to synthesize information across diverse legal sources., • Preferred: prior law practice or industry experience (litigation, corporate, regulatory, etc.)., • Location: Must be based in the U.S., U.K., Canada, or Australia. Project Details • Start Date: Immediate., • Duration: 4 weeks (with extension potential)., • Commitment: Part-time, ~20+ hours/week., • Schedule: Fully remote and asynchronous — work on your own schedule. Compensation & Contract • Rate: $110–$130/hour (USD)., • Performance Incentives: Top performers may earn an additional $20–$100/hour bonus., • Independent contractor engagement., • Daily payments via Stripe Connect. Application & Onboarding Process • Upload your resume and complete the application form., • Participate in a 25-minute model-training interview to discuss your background and expertise., • Receive follow-up within a few business days regarding next steps and onboarding.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

About Inworld Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

Spellbook is the most comprehensive AI copilot for transactional lawyers. It works directly inside Microsoft Word to help legal teams draft, review, and negotiate contracts up to 10x faster and with greater precision. Today, more than 4,000 law firms, in-house teams, and solo practitioners rely on Spellbook to simplify their workflows and eliminate the drudgery of everyday contract work. We are backed by leading investors including Khosla Ventures, Thomson Reuters Ventures, Inovia Capital, The LegalTech Fund, Bling Capital, and Moxxie Ventures. The company recently raised $50 million in Series B funding, led by Keith Rabois at Khosla Ventures, bringing its total funding to more than $80 million. *This is an existing vacancy We’re seeking a proactive Customer Success Manager (CSM) to drive success for our mid-market and enterprise clients. The ideal candidate is experienced in SaaS customer success, skilled at managing objections, and passionate about delivering measurable value to clients. Serve as the main point of contact for a portfolio of mid-market and enterprise accounts, maintaining 95%+ GRR. Build strong relationships with key stakeholders to drive satisfaction and loyalty. Lead onboarding and training for new customers, ensuring effective adoption of Spellbook’s platform. Conduct regular business reviews (QBRs), sharing insights and identifying growth opportunities. Address objections and clearly articulate the ROI of Spellbook’s solutions. Design and send targeted emails to engage legal professionals resistant to traditional meetings. Deliver tailored presentations and product demonstrations to meet client needs. Analyze usage data to identify patterns, drive engagement, and demonstrate ROI. Manage renewals to maintain high retention and coordinate with the expansion team on upsell opportunities. Troubleshoot technical issues, collaborating with support and product teams to resolve them. Act as the customer’s advocate, providing feedback to internal teams to improve our product. Perform other duties as assigned to support the organization’s needs, consistent with the scope and level of this role. 2–3 years of customer success, account management, or sales experience in a SaaS startup. Proven success managing mid-market and enterprise accounts. Strong sales acumen and objection-handling skills. Excellent communication and relationship-building abilities. Experience creating QBRs and email campaigns to engage customers. Data-savvy, able to generate insights and demonstrate ROI. Problem-solving skills for technical challenges. Adaptability and independence in a fast-paced startup environment. Familiarity with HubSpot and Stripe. Support with other responsibilities and projects as required. Proficiency in tools like MixPanel for data analysis. Training in consultative sales methodologies (e.g., Sandler). Experience with legal technology or AI tools. Familiarity with customer success platforms. Embrace autonomy and accountability in a flexible work environment; we focus on outcomes and empower you to determine how to get the job done Access our company-paid group benefits for you and your family, with $1,000 towards mental health support Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows Secure your stake in our success; you’ll receive competitive stock option grants as a pivotal early employee We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Spellbook is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Spellbook is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation. Spellbook uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Spellbook team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Spellbook regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices. Spellbook uses industry benchmark data to establish compensation bands for all roles. The salary range listed for a position reflects the expected total wage range for the role—including base salary and on-target commissions, where applicable—and may span multiple career levels. Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level. In addition to base salary and applicable commissions, total rewards may include equity, health and wellness benefits, and other company programs. Full details will be shared during the interview process.

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.

At eyeo, we transform the internet into a trusted, sustainable and accessible place where users regain control over their experience, content creators and publishers are rewarded for their content, and advertisers and consumers can connect on mutually agreed terms. With multiple brands across the ad tech space, eyeo offers solutions for publishers, advertisers, ad-tech solutions providers and over 400 million ad-filtering users worldwide. eyeo’s market-leading ad-filtering technology powers products like Adblock Plus and AdBlock as well as technical integrations for popular browsers and smartphone OEMs. Our subsidiary, Blockthrough, is the most popular ad block recovery solution among the Comscore-150, offering premium demand via direct seats with top-tier SSPs, allowing effective content monetization and providing a platform where publishers and advertisers can efficiently transact. We believe in creating a positive and empowering workplace where work-life balance is a priority. With a dedicated learning and development budget, you'll have the tools to grow and advance your skills, while contributing to clearly defined personal and company goals. Our people-first culture ensures you feel appreciated for your work and know that your contributions truly matter. The B2B Solutions team handles a number of mature and emerging solutions. Browser Ad-Filtering Solutions (BAS) is the mature product, which integrates into Chromium-based browsers and provides high performance ad-filtering on a variety of platforms. Additionally, we are developing a number of ad-filtering solutions beyond the browser for router vendors, ISPs and so on. In this versatile role you’ll: • Participate in partner communications in English and/or Chinese, • Participate in technical discussions to find efficient solutions to problems, • Contribute code in a variety of projects, • Benchmark and optimize software performance, • Work with your Engineering Lead and Product Manager to promote new features to partners and prospects and ensure that partner requests are answered and implemented, leading to higher partner satisfaction, • Explore new frontiers and create engineering opportunities that would make the product offering more attractive or lead to new product concepts, • Extensive experience in modern C++, • High proficiency in Mandarin Chinese (required for communication with clients), • Deep experience in developing, (cross-)compiling and optimizing code for (embedded) Linux, • Knowledge of the Linux networking stack and routing protocols, • Experience with continuous integration at least as a user (bonus for having set up CI pipelines), • Working knowledge of a scripting language, e.g. Python, • High proficiency in verbal and written English, • Proactivity to solve problems with a business-oriented mindset. The work is not done as soon as the code is merged., • The ability to break product requirements down into a project of a few months and to drive it to completion, • The ability to make decisions based on measurements and tests instead of generally considered good practices and assumptions, • The ability to work in a remote-first company, collaborating across time-zones, • Experience with AOSP (Android Open Source Platform), • Experience of working with Linux kernel modules, • Experience in JavaScript (we are working with browsers, after all!), • Deep interest in the browser as a product, • Understanding of the ad-tech landscape eyeo is a global employer with over 300 colleagues based all over the world. We love our diversity and take great pride in our company culture. We practice an independent, remote workstyle with work distributed in cross-functional matrix teams that span predominantly EST and CET time zones. If working remotely isn’t for you, we also have our HQ in Berlin and offices in Cologne, Toronto and soon in NYC that you can choose to work from. Our in-person team and company meetings foster community and collaboration. By enabling remote work and in-person sessions, we have built a culture that provides a unique dynamic of flexibility and belonging. • Work remotely or from one of our offices —we trust you to find what works best for you, • Full package of benefits* (health insurance, choice of hardware, paid vacation days, professional development and relocation budget, sabbatical leave, etc.) *Some benefits vary subject to the hiring location Equal Opportunity Statement At eyeo, we are committed to fostering an inclusive environment where every employee is empowered to thrive. We believe that the diversity of our backgrounds and experiences enhances our products and services, and we take pride in being a safe space for everyone. All qualified applicants will receive equal consideration for employment, regardless of race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical ability, or duration of unemployment. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued and respected. Privacy Notice When you apply, you’ll be automatically forwarded to our recruitment platform operated by an external service provider called Greenhouse (seated in the US). Greenhouse collects some information on its website, such as anonymous usage statistics, by using cookies, server logs, and other similar technology. For more information, please refer to Greenhouse’s Privacy Policy. All documents and information provided by you are stored with Greenhouse. In order to ensure an adequate level of data protection, eyeo and Greenhouse have entered into the EU Standard Contractual Clauses (“processors”) - Commission Decision C(2010)593. You can request a copy of this by contacting us at privacy[at]eyeo.com. If you don’t want your data forwarded to Greenhouse, please do not apply. For detailed and further information, please refer to our Privacy Policy at https://eyeo.com/en/privacy.

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

Position Overview: We are seeking a Senior AI Engineer to design and build the core of our enterprise AI platform: production LLM applications, Retrieval-Augmented Generation (RAG/GraphRAG) systems, and agentic services that turn complex enterprise data into reliable, explainable answers. This is a hands-on application-engineering role. You will own AI features end to end — from retrieval and orchestration through to streaming APIs and production reliability. You'll also lead applied R&D into self-hosted open models, benchmarking and selecting the right models for each task. A dedicated DevOps team owns production deployment, so your platform work is focused on evaluation and enablement, not running clusters. Our platform is built in Python today and is evolving toward a microservices architecture; the stack will grow over time and may include additional languages and runtimes. We value engineers who reason from fundamentals and pick the right tool for the job rather than being tied to a single technology. You'll work in a small, senior team building toward increasingly autonomous, agentic systems. Location: UK or EU Hybrid/Remote: Remote Responsibilities: AI Application Engineering (core) · Design, build, and maintain production LLM-powered services: conversational agents, RAG/GraphRAG retrieval, and natural-language querying over enterprise data sources. · Build and tune retrieval pipelines — combining semantic (vector) and keyword search, and knowledge-graph–backed context — for relevance and grounding. · Implement agentic patterns: tool/function calling, multi-step reasoning, conversation memory, and real-time streaming responses. · Engineer for reliability and explainability: guardrails/content safety, source attribution, evaluation, and graceful failure handling. · Optimize latency, cost, and throughput across the LLM and embedding layers (caching, routing, token management). Applied Model R&D & Self-Hosting · Evaluate and benchmark LLMs and embedding models — both API-based and self-hosted. · Stand up and assess self-hosted open models on modern serving runtimes, comparing quality, latency, and cost trade-offs. · Drive model-selection decisions per task (chat, query generation, reranking, embeddings) and translate findings into production configuration. Backend & Services Engineering · Build high-quality, well-tested backend services and APIs (currently Python; the stack is evolving toward microservices and may span additional languages). · Design durable, long-running workflows using a workflow-orchestration platform. · Help shape the move toward a microservices architecture: clear service boundaries, contracts, and inter-service communication. · Own the full lifecycle: requirements, design, implementation, testing, and production support. · Maintain a clean, layered architecture and strong engineering standards. Technical Leadership & Collaboration · Provide technical direction and mentorship; lead design discussions for complex AI features. · Partner with product, data, and DevOps teams to ship scalable solutions. · Document architecture and decisions clearly for a distributed team. Required Qualifications · 8+ years of professional software engineering experience, with strong recent backend experience (Python preferred). · Proven experience building production LLM / AI applications — RAG, agents, or similar — not just prototypes. · Solid grasp of modern AI building blocks: embeddings, vector and hybrid search, prompt engineering, tool calling, and evaluation. · Strong backend fundamentals: API design, asynchronous/concurrent programming, databases, and distributed-system architecture. · Comfortable learning and adopting new languages, frameworks, and runtimes as the platform evolves. · Working familiarity with containers and Kubernetes — enough to deploy, run, and debug model-serving workloads for evaluation (deep cluster operations are owned by DevOps). · Experience leading technical initiatives and mentoring engineers. · Comfortable in Agile, distributed teams. Desired / Nice to Have · Knowledge-graph–backed retrieval (GraphRAG) and graph databases · Natural-language-to-SQL / structured-data querying over enterprise sources · Self-hosting and serving of open LLMs on modern inference runtimes · LLM routing / gateway layers across multiple providers · Explainable AI and model evaluation framework · Self-hosting and serving of open LLMs on modern inference runtimes · LLM routing / gateway layers across multiple providers · Explainable AI and model evaluation frameworks · Vector databases and object storage · Workflow-orchestration platforms for durable, long-running processes · Microservices design and inter-service communication patterns · Familiarity with GitOps / service-mesh environments (operated by DevOps — useful context, not a requirement) · Observability and performance profiling Preferred Experience · Building AI features in an enterprise SaaS or platform-product organization. · Working in AI/innovation-focused teams pushing toward agentic systems. · Experience evolving a system toward microservices and/or polyglot stacks. · Collaborating across international, distributed engineering teams. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

The salary for this role is £50,000 - £52,000 This role is advertised on a 12 month fixed term contract. Do you have hands-on experience supporting and optimising Azure integration platforms, including CI/CD pipelines and live production environments? Are you confident designing, managing, and securing Azure AD B2C identity flows and API Management (APIM)? Can you develop, maintain, and troubleshoot cloud solutions using multiple technologies and languages—such as C#, Azure Functions, and Web Apps—while embedding security and quality into your code? If so, we’d love to hear from you! At Livestock Information Ltd, our mission is to be an outstanding service provider of livestock data, empowering government, industry, and farmers to effectively manage disease and infection control, whilst enhancing productivity and innovation in agriculture. To achieve this, we need great people, who share in our values. As an Azure Integration Engineer, you’ll play a key role in keeping our platforms running smoothly and securely. Your day will involve monitoring systems, fixing issues as they arise, and working closely with development teams to improve CI/CD pipelines and delivery processes. You’ll also look after Azure B2C identity flows and API Management (APIM), helping ensure seamless and secure integrations. Alongside this, you’ll support security activities using tools like Defender for Cloud, SonarCloud, and ZAP, respond to support requests, and help prepare for upcoming releases and projects. Your responsibilities will include • Providing timely and efficient break-fix support to resolve system issues and minimise downtime in line with Service Level Agreements including out-of-hours., • Monitoring system performance, availability, and capacity, performing infrastructure and code optimisation to ensure efficiency and reliability., • Providing 3rd line support for the Azure customer identity and integration services and address escalated issues while coordinating with internal teams to maintain service uptime., • Implementing real-time monitoring tools for applications and under lying infrastructure., • Setting up proactive alerts and developing incident response procedures to identify, respond to, and resolve incidents efficiently., • Monitoring system health and providing timely feedback on performance and potential risks to service availability., • Conducting regular vulnerability assessments, enforce security policies, and ensure patching and system hardening measures are applied., • Adhering to corporate Information Security Policies, Azure Security Benchmark, and CIS controls., • Supporting development teams with technical guidance, ensuring robust and secure applications or services., • Collaborating on new projects and enhancements to ensure customer identity and integration requirements are met.. You may be required to undertake other duties assigned by your line manager as appropriate We are looking for someone with the following • Experience in providing high-quality break-fix support in a fast-paced environment., • Proven ability to monitor and maintain complex cloud-based systems, ensuring uptime and performance., • Experience of managing Azure subscriptions and Azure resources efficiently., • Expertise in managing customer identity using Azure AD B2C., • Experience in creating and configuring applications in Azure., • OpenID, OAuth2.0 & SAML2.0: Knowledge of identity and access protocols., • Experience in creating and customizing user flows in Azure AD B2C., • Strong understanding of user management and custom attributes in Azure AD B2C., • UX/UI Customization in AD B2C User Flows: Ability to customize user experience flows., • Knowledge of claims providers and technical profiles in B2C., • Ability to create complex and customized user flows based on requirements., • Hands-on experience with Microsoft Graph API and MSAL for managing identities., • Understanding of SSL certificates and security best practices., • Experience in implementing custom policies using the Identity Experience Framework in Azure AD B2C., • Experience with APIM, including security and cloud-to-cloud integration., • Hands-on experience in developing Azure Functions, Web Apps, and C# programming., • Experience in user administration, group assignment, and role management in the Azure AD B2C portal., • Proficiency in using Azure Blob storage, Application Insights, and monitoring tools., • Expertise in building and automating CI/CD pipelines for efficient software delivery from development to production in Azure DevOps., • Hands-on experience maintaining and deploying SonarCloud and Zed Attack Proxy (ZAP) in a CI/CD pipeline for code quality and security scanning. This role will report to the Azure Engineering Manager and will sit within our Service department. As an LI employee, you will be entitled to our company benefits which include • A fully remote and flexible working set up, • 25 days annual leave, increasing by 1 day each year of service up to maximum of 30 days (plus Bank Holidays), • 1 Privilege Day, • 4 x annual salary Life Assurance, • Market leading pension scheme through Legal & General, • Enhanced Family Friendly Policies, • Excellent learning, training, and career development opportunities, • 24/7 access to our Employee Assistance Programme, • A diverse and inclusive culture where everyone is respected and valued To apply for this role, you will need to submit a CV and answer some pre-screening questions. The interview and assessment process for this role will involve a telephone interview with our Talent Team, followed by a first stage and a final stage interview. Interviews will be conducted either remotely via MS Teams or face to face. If we need to make a reasonable adjustment so that you can complete your application, please contact us as soon as possible by emailing _ before the closing date to discuss your needs. Please note that we may close the advert early if we receive a high volume of applications Artificial intelligence tools can be used to help you prepare your application. However, all statements and examples provided during the recruitment process should be accurate and based on your own knowledge and experience. Applications may be withdrawn if content is found to be plagiarised, including where ideas or experiences generated by artificial intelligence are presented as personal work. For further information, please click on the following link : We approach our work with TACT; we are Transparent, Accountable, Committed and we work as a Team. We are transparent together, embracing honesty and building trust. We are accountable to the industry and strive for the best possible solutions for the communities we serve. We drive change with passion, commitment and enthusiasm to deliver a great service to the livestock industry. We work kindly and cohesively which allows us to support each other in our personal and strategic goals. For more information on our values and what its like to work at Livestock Information, please visit our Careers Page : _ At Livestock Information Ltd, we have a zero-tolerance approach to harassment, abuse, discrimination, or bullying during our recruitment process. Any such behaviour may result in a candidate being withdrawn from consideration We are committed to upholding our company values and ensuring a safe and respectful experience for all candidates and staff. We’re a fully remote organisation however, our roles are UK-based and can only be performed within the UK. We come together in person twice a year for our All Hands events to connect, collaborate, and strengthen relationships. From time to time, there may also be occasional in-person team meetings. At Livestock Information, we value diversity and believe that every individual brings different strengths. We understand that not everyone may possess every single skill outlined in this job description, but if you believe you have a solid skill set that enables you to excel in this position then we really encourage you to apply. If you feel your application has not been treated in a fair and open manner or if you are dis-satisfied with any of your interactions during the recruitment process and you wish to make a complaint, you should contact our Talent team via email: talent@livestockinformation.org.uk Livestock Information Ltd. cannot sponsor work visas at this time. Livestock Information Ltd. Does not discriminate based on race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Livestock Information Ltd. Does not accept unsolicited CVs from any source other than directly from a candidate. Any unsolicited CV’s not originating directly from a candidate and sent to Livestock Information Ltd or any Livestock Information Ltd employees, including unsolicited CVs sent to a Livestock Information Ltd mailing address or email address, are rejected. Livestock Information Ltd will NOT pay a fee for any placement resulting from the receipt of an unsolicited CV. Livestock Information Ltd considers any candidate for whom the recruiter has submitted an unsolicited CV referred by the company free of any fees.