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Location: Remote - Preference for Europe/Dubai/UK but open to candidates based in EST time zones Compensation: $130K - $150K We are building a secure computation network that is fundamentally changing how high-value data is stored and used globally. Our decentralized technology expands beyond traditional blockchain transactions into new verticals like AI, biometric data, health data, voting, and consumer data using privacy-enhancing technologies (PETs). Backed by a record-setting seed round and founded by high-profile leaders from Uber, Indiegogo, and Coinbase, we are seeking a highly experienced Head of Community to drive our global strategy. This is a critical, deeply cross-organizational role where you will design and execute innovative strategies to bring to life a vibrant global community. You will serve as the pulse of the project, collaborating closely with senior Marketing, Product, Engineering, and Research teams to align community initiatives with the project's development and vision. Key Responsibilities: • Strategy & Growth: Develop and execute creative strategies to drive community growth and engagement with intentionality., • Program Leadership: Lead end-to-end community initiatives, including ambassador programs, interactive forums, competitions, and social media campaigns., • Cross-Org Alignment: Collaborate closely with Marketing, Product, Engineering, Developer Relations, and Research teams to ensure a cohesive community strategy., • Events & Hosting: Organize and host community AMAs, webinars, workshops, and Twitter/X Spaces, and participate in live events., • Sentiment & Feedback: Monitor and analyze community sentiment, trends, and feedback to inform product and marketing strategies., • Team Building: Recruit, train, and manage a team of community ambassadors, setting clear goals and metrics., • Risk Management: Lead crisis management and conflict resolution within the community., • Experience: 4+ years of experience as a community leader in crypto/Web3., • Crypto Fluency: Deeply embedded in crypto culture, fluent in its narratives and evolving ecosystem., • Scaling Track Record: Proven ability to build and scale communities, ambassador programs, and engagement campaigns., • Technical Grasp: Strong grasp of blockchain technology and decentralized systems., • Soft Skills: Excellent communicator with strong interpersonal skills and high emotional intelligence., • Strategic & Analytical: Strategic thinker and planner, skilled in data-driven engagement strategies, and possessing creative problem-solving abilities with a bias for action., • Leadership: Empathetic and curious leader who motivates teams and builds resilient, growth-driven cultures. Preferred Experience (Nice-to-Have): • Active personal Twitter presence., • Experience at an early-stage startup or a Web3 protocol., • Skilled in community platforms and social tools., • Compensation: Competitive compensation package, inclusive of a base salary ($130K - $150K) and a vast token allocation (token award)., • Flexibility: 100% remote-first organization (primarily focused on European and US East Coast time zones) with working hours adaptable to your lifestyle., • Time Off: 25 days of annual paid vacation, plus paid sick leave & parental leave., • Culture & Offsites: Twice a year company offsite to work and have fun as a team, plus a mentorship-oriented work culture., • Wellness: Company-paid Employee Assistance Program (mental, financial, and legal help) and a monthly coworking stipend up to €150., • Impact: Work on new, complex problems in an emerging and dynamic field (secure computation, PETs, AI) and learn from world-class domain experts. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

About the job This is an exciting role for a commercially-minded operator who gets into the weeds — someone who doesn't just analyse the business, but rolls up their sleeves to build the tools, processes, and workflows that make revenue generation work better. As Revenue Operations Manager, you will own the analytical and operational infrastructure that powers our Travel Commercial organisation. This organisation is responsible for all the travel supply inventory — hotels, homes, and cars — that is distributed to our global partners. You will be expected to design, build, and implement: from data models and reporting frameworks through to process redesigns and AI-powered ways of working that give our teams a structural edge. Reporting into senior commercial leadership and working in close partnership with our Product and Engineering teams, this role sits at the exciting intersection of data, process, and technology. It will cultivate the skills — stakeholder and programme management, structured problem definition, and data-informed prioritisation — that have typically helped operators grow into roles such as a Commercial Leader, Chief of Staff or Product Manager. Revenue Analytics & Business Intelligence - Own the design, build, and ongoing evolution of the data models, dashboards, and reporting frameworks that give the commercial organisation clear visibility into performance across the full revenue funnel — and maintain them to a standard that makes the data genuinely trusted and acted upon. Use AI tools as a core part of your analytical workflow — accelerating the speed of insight generation, improving output quality, and freeing up time for higher-order problem solving. Conduct deep-dive analytical projects to identify patterns, anomalies, and opportunities in revenue data — translating complex findings into clear, actionable insights for commercial stakeholders. Define, build, and track KPIs that measure not just business outcomes, but the effectiveness of the processes that drive them — creating a feedback loop that continuously improves how the organisation operates. Process Design & Operational Excellence Map, challenge, and rebuild core revenue workflows — including pipeline management, forecasting cadences, and sales incentive structures — producing cleaner, faster, and more scalable ways of working. Implement operational improvements end-to-end: not just designing the solution, but seeing it through to adoption across commercial teams and measuring its impact with rigour. Identify where AI can be applied to fundamentally change how revenue processes work — building and deploying those solutions directly rather than outlining them for others to execute. Systems Thinking & Tooling Develop a hands-on understanding of how our revenue tech stack — data pipeline and customer-facing product — fits together, diagnosing where friction, data loss, or missed opportunities exist. Work directly with Product and Engineering teams to shape and prioritise improvements to internal tooling and systems, grounding those conversations in operational data and a clear point of view on what will move the needle. Translate commercial problems into well-defined briefs that technical teams can act on — bringing enough technical fluency to be a genuine peer in those conversations. Commercial Strategy & Go-to-Market Contribution Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and that decisions translate into clear next steps with accountable owners. Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting — producing outputs that commercial leaders can use directly. Contribute to go-to-market strategy and sales process design, bringing a data-informed perspective on where the highest-leverage opportunities lie. Spend time in the field with commercial teams to understand where the real friction is — then go and fix it. 3–5 years of experience in revenue operations, sales operations, strategy & operations, or a similar analytical or commercial role. A track record of building things — data models, dashboards, process frameworks, operational tools — not just recommending them. Strong commercial instincts paired with rigorous analytical capability — comfortable moving between a strategic conversation and a hands-on build with equal ease. Genuine excitement about AI and a habit of already using it — someone who has explored how AI tools can accelerate and improve their own work, and is eager to bring that into the fabric of how a commercial organisation operates. Proficiency in SQL and experience with data and BI tools (e.g. Looker, Tableau, BigQuery, or similar). Experience working cross-functionally with Product and/or Engineering teams, or a strong desire to build this muscle — with enough technical fluency to hold their own in those conversations. A bias toward first-principles thinking — questioning assumptions, stress-testing processes, and always asking why something works the way it does. A bias for action, a strong sense of ownership, and the ability to thrive in fast-moving, ambiguous environments. Perks and benefits of working with us: Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages. Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health. Automatic contributions when you start with Hopper through Smart Pension. Please ask us about our very generous parental leave, much above industry standards!. Access to co-working space on demand through FlexDesk AND Work-from-home stipend. Carrot Cash travel stipend. Unlimited PTO. Entrepreneurial culture where pushing limits and taking risks is everyday business. Open communication with management and company leadership. Small, dynamic teams = massive impact. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.. Come take off with us! #LI-REMOTE

We're all about helping brands turn ideas into impact. Frontify’s brand platform transforms how teams organize digital assets, collaborate on projects, and create engaging campaigns. Our people empower thousands of marketers and designers — including teams at Uber, Microsoft, Volkswagen, and Telefónica — to build engaging brands. With headquarters in St. Gallen, Switzerland, and offices in London and New York City, we share a vibrant culture built on creativity, collaboration, inclusion, and joy. And we’re on the lookout for new team members to share our vision. If you’re ready for a brand-new adventure, keep reading! Your teamWe’re the team that is responsible for enabling the hiring success at Frontify. That includes attracting new applicants, engaging with people, and hiring our future colleagues. The candidate experience and hiring excellence are at the center of everything we do, and we ensure that our team rocks the whole process. We are an international bunch that love travelling the world, sharing our experiences, and participating in various sporting activities. Your MissionWe're looking for a Technical Recruiter to jump in and make an immediate impact in hiring across our Product and Engineering teams through the end of 2025. This role is ideal for someone who thrives in fast-paced environments, enjoys collaborating closely with hiring managers, and can drive full-cycle recruiting with efficiency and care. You’ll play a key role in keeping momentum high during a busy hiring season—owning everything from sourcing to offer while ensuring a great candidate and stakeholder experience. While the primary focus will be on technical roles, we’d love to see experience hiring across other areas too—like Commercial or G&A. This is a 5 months temp role, ideally looking for someone to start in September 2025. • You’ll own full-cycle recruiting across Engineering and Product ensuring a smooth and efficient process., • You’ll partner with hiring managers to define role requirements, set expectations, and provide hiring insights., • You’ll source and engage with top talent through multiple channels, building strong talent pipelines., • You’ll ensure a great candidate experience by keeping communication clear, timely, and supportive., • You’ll manage multiple roles at once, prioritizing based on hiring needs and timelines., • You’ll drive inclusive hiring practices, ensuring fairness and diversity in sourcing and selection., • You’ll advise on hiring best practices and influence decision-making using data and market insights., • You’re able to work remotely from anywhere in the UK but feel comfortable and excited to come to our London office from time to time., • You have 3–5 years of experience in full-cycle recruiting for technical roles, ideally in a startup/fast-paced environment. Bonus points if you’ve also recruited for Commercial or G&A roles., • You’re comfortable juggling multiple roles while keeping quality high and delivering a thoughtful, white-glove candidate experience—even as priorities shift., • You have strong sourcing skills with experience using LinkedIn Recruiter and other talent tools., • You prefer a collaborative and proactive approach to partnering with hiring managers, team members, and stakeholders across the business., • You have a strong ability to balance speed and quality, making thoughtful hiring decisions., • You have a passion for delivering an inclusive and engaging candidate experience., • You are fluent in English; German is a nice bonus.Why join us?- Thrive with the tools and support to shape your future at Frontify.- Be part of a product that connects brands and people with a human touch.- Enjoy flexibility, opportunities to grow, and exposure to innovative technologies and ideas.- Join a vibrant, social team—whether you love animals, yoga, or travel, we’ve got the Slack channels for you! What we offer- At least 5 weeks of holiday (PTO)- Paid educational and well-being days off- Home office setup budget- Annual salary review- Localized benefits- Invite to our summer company meet-up in Switzerland Important to usAt Frontify, we believe in being true to ourselves: We are committed to creating and fostering an inclusive environment of vibrant individuals whose diverse perspectives build our collective future. We aim to provide equal opportunities and nurture a workplace free of harassment and discrimination. Next StepsApply: Submit your CV and answer a few questions. We’ll update you on your application.Talent Partner: Meet our Talent Team to discuss Frontify, the role, and your background.Team Meetings: Connect with your future team, discuss the role, showcase your skills, and explore your potential new journey.Join Us: If it’s a match, welcome to Frontify! This description outlines the primary duties of the role, which may evolve in response to business needs and company growth. We’re looking for someone comfortable with change and excited to contribute to a dynamic environment. If this sounds like you, come join us and help shape what’s next. We may conduct preliminary checks for successful candidates, depending on the role and in line with local laws. We’ll share all relevant details during the interview process.

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you. Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel). You are: We are looking for a product builder with strong execution instincts and a deep understanding of developers. You care about shipping fast, learning from real users, and improving the product continuously, not just writing specs. You think like a founder, are comfortable getting technical (including writing code when it helps you move faster), and thrive in open feedback loops with our community of builders. You partner tightly with engineering and design, contribute clarity and conviction to decision-making, and are energized by working on products that are deeply technical and meaningful to the future of AI. Responsibilities: • Own and ship high-impact features within the Opik product, end to end from definition to launch, • Bring clarity to ambiguous problems and make fast, pragmatic product decisions, • Engage directly with developers and early users to gather feedback and rapidly iterate, • Work closely with engineering and design to drive execution with urgency and clarity, • Monitor adoption and performance of shipped features and use learnings to improve quickly, • Share updates and priorities with the open-source community and internal stakeholders, • 3+ years of Product Management experience, delivering highly successful and innovative products that you're deeply proud of, • Must have design and UX sensibilities, • Must have proven experience building developer tools, • Experience shipping high-quality products from planning to launch to maintenance, • Ability to collaborate with engineers on technical architecture and product implementation, • Ability to communicate product value and opportunities across engineering, marketing, sales, individual users, and enterprise customers, • Proficiency using AI tools Bonus: • Experience training machine learning models or building MLOps / LLMOps tooling, • Experience as a growth PM in the developer tooling space What We Offer: • Competitive base salary - based on proven experience, skills and location., • Competitive benefits package., • Flexible working hours and remote/Hybrid work options., • Opportunities for professional growth and development., • A collaborative and innovative work environment., • The chance to work with cutting-edge technologies and projects., • This role will be located in Europe or Israel working with a global team (large presence in the US, Tel Aviv and Europe), some flexibility with work hours is required. Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on to power more than 225,000 partnerships that deliver measurable business results. As a Business Development Representative for the UK and Ireland, you will be on the front lines of our sales growth, playing a vital role in expanding our footprint in the MarTech sector. This is the perfect environment to kick-start a high-performing career in SaaS sales, where you’ll engage directly with marketing leaders at well-known brands and innovative start-ups. You will be responsible for creating and nurturing a high-quality pipeline, helping businesses understand how our cutting-edge platform can drive new value and revenue through partnerships. • Prospect and Engage with a targeted base of key accounts in your assigned UK and Ireland territory, identifying and building relationships with marketing leaders and key executives., • Build Pipeline for Impact.com’s products by collaborating closely with Account Executives to qualify leads and secure new business opportunities., • Exceed Goals by consistently meeting and surpassing monthly activity and opportunity targets through a combination of cold calling, strategic email campaigns, and deep market knowledge., • Manage Data by accurately tracking and leading prospects through the sales lifecycle using Salesforce.com., • Grow the Business through participation in team meetings, networking events, trade shows, and other activities., • foundational experience in a goal-driven environment such as Lead Generation, Sales, and/or Marketing., • Exceptional verbal and written communication skills, with the ability to clearly articulate value to senior marketing leaders., • A competitive, self-starting nature, with a high level of intellectual curiosity and vast interest in technology & digital marketing., • Coachability and a strong team-oriented approach, ready to collaborate and contribute to the BDR team’s success., • The ability to quickly understand and utilize different digital tools and platforms., • A Bachelor’s degree is preferred. At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance. • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We are committed to a positive work-life balance and offer a flexible remote working policy., • Health and Wellness: Your well-being is a priority. Our comprehensive benefits include a Pension Scheme, Health and Dental Insurance, and a Mental Health and Wellness Benefit that includes 12 fully covered Therapy/Coaching sessions per year plus dependent coverage. We also offer gym reimbursements., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our extensive Training & Development resources, including a Free Coursera Subscription and PXA partnerships learning., • Family Support: We offer a generous Parental Leave policy., • Technology Financial Support: We provide an Internet Allowance and a Technology stipend to help you set up and maintain your home office., • In-Office Perks: Enjoy free in-office lunches several days per week. impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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

Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development. In most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today’s AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That’s where Maze comes in. We believe companies shouldn’t have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision. Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves. That’s why Maze was recently named the #1 user research platform in _—and why we’re scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more. Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce _. Please note: this role is open exclusively to candidates based in the United Kingdom, Ireland, Spain, Portugal, or the Netherlands. This is a part-time contractor position and is not eligible for employee benefits. We’re looking for a People Operations Generalist to join our team on a part-time contractual basis to support us during EMEA hours. You will report into the People Operations & Total Rewards Manager. This role is ideal for someone early/mid-career who is excited to own core people processes while helping scale global people operations, compensation, and benefits You’ll play a key role in delivering a high quality employee experience, supporting managers, and ensuring our programs are competitive, compliant, and aligned with our company values. People Operations Own and improve core People Ops processes across the employee lifecycle (onboarding, offboarding, role changes, etc.) Act as a first point of contact for employee and manager questions, providing thoughtful and timely support Maintain and improve HRIS data integrity and workflows (Rippling) Partner with managers to support performance cycles and engagement programs Help build scalable processes as the company grows globally Own access management across People systems and company tools, ensuring strong data control, security, and audit readiness Identify opportunities to leverage AI and automation to improve People Operations processes, reduce manual work, and enhance the employee experience Compensation & Benefits Support compensation cycles (benchmarking, salary reviews, promotions, and adjustments) Help maintain and evolve compensation frameworks and job architecture Administer and improve global benefits programs (e.g. health, leave, wellness, and new offerings) Partner with external vendors and brokers to help manage renewals and implementation Ensure compliance with local regulations across different countries Global & Operational Support Assist with international employment setup and ongoing operations (e.g. EORs, payroll coordination, documentation) Support policy creation and updates Help manage audits, reporting, and documentation across regions Projects & Scaling Contribute to key People initiatives (e.g. manager training, performance improvements, new benefits rollouts) Identify inefficiencies and proactively suggest improvements Help build documentation and internal resources for managers and employees Talent Acquisition Coordination Coordinate interview scheduling across multiple time zones Manage candidate experience, ensuring timely updates and follow ups Support job posting setup and updates across the careers site and external job boards Support pre-boarding and onboarding processes 2-4 years of experience in People Operations, HR, or Total Rewards Proven ability to manage and maintain high-quality, reliable people data across systems and processes Comfortable working in a fast-paced, scaling environment (ideally startup or tech) Ability to handle sensitive information with discretion Demonstrated curiosity about emerging technologies, including AI, and a willingness to incorporate them into daily work Strong communication skills and a service-oriented mindset Comfort working cross-functionally with Finance, Legal, and leadership teams Experience with Rippling, especially optimizing workflows, automations, and system integrations to improve efficiency and data accuracy Experience owning and optimizing Notion as a source of truth, including building structured, scalable documentation systems Hands-on experience supporting People Operations and/or payroll in one or more of the following countries: Spain, UK, Netherlands, France, Ireland, Portugal, or Canada Experience building or documenting scalable People processes in a growing company Experience implementing or managing AI-enabled workflows within HR, People Operations, payroll, knowledge management, or internal operations Familiarity with EOR providers (Oyster) and international employment models Experience working in a fully remote, globally distributed company Exposure to compensation benchmarking tools Experience supporting or improving performance review cycles and manager enablement Experience with equity management, including administering equity programs, supporting grants, and partnering with finance/legal teams Relevant HR or payroll certifications (e.g. CIPD, PHR/SPHR, CPP, or local equivalents) You’ll join a high impact, collaborative People team shaping how we scale People Operations and Total Rewards globally at Maze You’ll gain exposure to both operational execution and strategic decision-making You’ll help shape how we scale People practices globally At Maze, we are dedicated to building an equitable, inclusive, and authentic workspace. Unique and diverse perspectives are welcomed, and continuous growth is encouraged. We believe that people are more than their resumes, so if your past experience looks different than the criteria listed, we'd still love to hear from you. We appreciate and celebrate non-traditional life routes and encourage you to apply should you connect with a job description or the Maze culture. Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either United States or Rest of World) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package. Your salary is dependent upon many factors, including years of experience, expertise, etc. During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations. Early-stage startup: You will join an early-stage startup with less than 150 team members. This means you'll have the unique opportunity to directly impact success and help shape the future of Maze. Market disruption: We believe that the way companies build products is fundamentally broken and the user research market is ripe for disruption. For too long, companies have been forced to choose between rapid development without user insights or investing months into research before bringing products to market. But there's finally a groundswell building around a path forward that eliminates this compromise - and Maze is leading the charge. Product-market Fit: Maze is used by 100,000+ brands across 4,000 companies, from SMB to enterprises, and in the last fiscal year, we saw 6.5M questions answered, supporting 25K decisions Health insurance with international coverage, vision, and dental: 100% of the team member premium paid For some locations, coverage options vary, please see our _ for more information Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24/7 access to resources Life and Disability Insurance, 100% of the team member premium paid Flexible time off Meaningful equity Company retreats, fully paid for by Maze New MacBook (laptop), paid for by Maze Paid Family leave: 16 weeks for birth or adoptive parents $500/month to be used for dependent health insurance coverage If you don't have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever! $1,500 remote work setup fund to ensure you can set up a productive work space Flexible work schedule where you manage your own working hours Monthly _ points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more Virtual social engagements randomly throughout the year SWAG, we have some really cool swag Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more Check out all of our a-maze-ing benefits _. We understand you might be excited about the job you’re applying for, we are excited you are interested! However, please refrain from reaching out to our current team members on LinkedIn for referrals. Our policy is that referrals can only be provided by team members who personally know the candidate. With the high volume of interest in our roles, contacting our team members who are not involved in recruitment can be overwhelming. Additionally, please avoid submitting support tickets regarding your application, as our support team is not involved in the hiring process. Rest assured, our recruitment team is diligently reviewing all applications and will reach out directly if there is a match.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

.NET Developer - Leading E-Book Firm - Nottingham (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client are a leading e-book firm who are on a mission to build the best reading experience, one that is both communal and personal, anytime, anywhere. Having recently opened their uber-chic offices in Nottingham they are looking to hire .NET Developer at all levels to work on the development of a product that makes a meaningful, lasting difference in people's lives. We are seeking .NET Developer candidates who are passionate about software development and all things tech. You should have a good grasp of: .NET, .NET Core / ASP.NET MVC, C# and Azure SQL. Our client can provide you with industry recognized training in: .NET 9, JavaScript, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. This is a great opportunity to work alongside smart, driven people who will inspire you every day. You will have the opportunity to form relationships with their investors, advisors and mentors - and the broader tech community. These experiences will provide you with the abilities necessary to grow with the firm, or one day start your own company! Their benefits include: a company bonus, pension, healthcare, flexible holiday policy (they do not count days), a well-stocked kitchen (with fresh fruit, snacks and drinks) and regular company outings: team dinners, trips to museums and galleries. They also run monthly book club lunches and discussions. Location: Nottingham, UK / Remote Working Salary: £35,000 - £45,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, _, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. HackerOne is a global leader in offensive security, helping organizations identify and remediate vulnerabilities through the power of the world’s largest community of ethical hackers and our AI-powered security platform. As a Sales Development Representative, Enterprise EMEA, you will play a critical role in creating new business opportunities with some of the world’s largest organizations. Working closely with Enterprise Account Executives and Marketing, you will identify, engage, and qualify prospective customers through strategic outbound prospecting. This is an excellent opportunity for an ambitious sales professional looking to build a long-term career in enterprise At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~75 kilometers of London, UK. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Success in the Sales Development Representative role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne. Complete a comprehensive onboarding program to develop expertise in cybersecurity, HackerOne’s platform, enterprise prospecting, cold calling, email outreach, social selling, and modern sales methodologies. Build strong partnerships with Enterprise Account Executives and Marketing to execute coordinated account-based outbound campaigns that generate qualified pipeline. Demonstrate an AI First mindset by thoughtfully leveraging AI-powered tools to improve prospect research, personalize outreach, increase productivity, and continuously improve prospecting quality. Practice Data-Driven Decision Making by using Salesforce, Outreach, LinkedIn Sales Navigator, and sales performance metrics to prioritize accounts, optimize activity, and improve conversion rates. Apply First Principles Problem Solving to understand each prospect’s security challenges, uncover root causes, and communicate how HackerOne’s offensive security solutions create measurable business value. Demonstrate Change Agility by adapting quickly to evolving sales strategies, market conditions, messaging, and customer priorities while maintaining a high level of execution. Consistently execute high-quality outbound prospecting across phone, email, LinkedIn, and other engagement channels to generate qualified meetings and sales opportunities. Achieve and exceed monthly activity, meeting, and pipeline generation goals while continuously developing the skills required for long-term success within Enterprise Sales. 1+ year of experience in a Sales Development Representative, Business Development Representative, or other outbound prospecting role. Demonstrated experience conducting cold calls and outbound prospecting. Strong written communication skills with the ability to create compelling, personalized prospecting emails. Experience using CRM and sales engagement platforms such as Salesforce, Outreach, or similar tools. Experience selling SaaS or cybersecurity solutions. Experience using LinkedIn Sales Navigator and account-based prospecting techniques. Demonstrated success exceeding outbound activity or pipeline generation goals. Professional proficiency in German. Compensation Bands: Base Salary: £39,000–£44,000 GBP On-Target Earnings (OTE): £56,000–£63,000 GBP #LI-KM1 #LI-Remote Health (medical, vision, dental), life, and disability insurance* Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program *Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with _ as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

If you have ever done delivery driving, rideshare, courier work, or transportation, you may want to also try delivering with Uber Eats. Grab your car, bike, motorbike, or scooter and be a delivery person whenever you want—for an hour, a weekend, or throughout the week. Uber is available for delive

What is Uber Eats?Delivering with Uber Eats offers a flexible way of making money. Uber is available for delivery in hundreds of cities, large or small, around the world. Requirements to Deliver:Be at least 18 ye

Your Schedule. Your Goals. Start Delivering with Uber Eats. What is 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. Why Deliver With Uber Eats?: You are your own boss. You decide how much or little you want to deliver and earn. You can receive your earnings weekly or even instantly (50p charge). Terms and fees apply. Grab your car, bike, motorbike, or scooter and be a delivery person whenever you want—for an hour, a weekend, or throughout the week. Keep 100% of your tips. Uber is available for delivery in hundreds of cities, large or small, around the world. Deliver where you live. Requirements to Deliver: Be at least 18 years old Have the right to work in the UK (and documents to support this) Access to your own delivery vehicle (bike, motorbike, car) Insulated bag for food delivery A smartphone (for navigation and delivery app use) Additional Information: If you have ever done delivery driving, rideshare, courier work, or transportation, you may want to also try delivering with Uber Eats How to Sign Up 1) Click to sign up and complete your registration process. 2) Submit the required documents depending on the vehicle you will deliver with. 3) Complete a background check. 4) Once approved, download the app and get started.

Your Schedule. Your Goals. Start Delivering with Uber Eats. What is 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. Why Deliver With Uber Eats?: You are your own boss. You decide how much or little you want to deliver and earn. You can receive your earnings weekly or even instantly (50p charge). Terms and fees apply. Grab your car, bike, motorbike, or scooter and be a delivery person whenever you want—for an hour, a weekend, or throughout the week. Keep 100% of your tips. Uber is available for delivery in hundreds of cities, large or small, around the world. Deliver where you live. Requirements to Deliver: Be at least 18 years old Have the right to work in the UK (and documents to support this) Access to your own delivery vehicle (bike, motorbike, car) Insulated bag for food delivery A smartphone (for navigation and delivery app use) Additional Information: If you have ever done delivery driving, rideshare, courier work, or transportation, you may want to also try delivering with Uber Eats How to Sign Up 1) Click to sign up and complete your registration process. 2) Submit the required documents depending on the vehicle you will deliver with. 3) Complete a background check. 4) Once approved, download the app and get started.

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Uber Advertising in the UKI CPG segment seeks a senior leader to scale revenue, lead a large distributed sales and account management team, and define the strategy to grow one of Uber Ads' fastest-moving business lines. You will drive cross-functional alignment with Product, Engineering, and Operati

What is Uber Eats?Delivering with Uber Eats is a flexible way to earn. Start Delivering with Uber Eats. Why Deliver With Uber Eats?:Receive your earnings weekly.

At Uber, we have spent the last three years building and scaling a fast‑growing Uber Ads division focused on unlocking the next era of advertising across our global platforms. Uber is proud to be an Equal Opportunity employer. You will be responsible for defining the strategy to grow one of the fa

What is Uber Eats?Delivering with Uber Eats is a flexible way to earn. Why Deliver With Uber Eats?:Receive your earnings weekly. Uber Eats is available for delivery in hundreds of cities, large or small, around the world.

What is Uber Eats?Delivering with Uber Eats offers a flexible way of making money. See how delivering with the Uber app can help you make money flexibly. Why Deliver With Uber Eats?:You are your own boss.

What is Uber Eats?Delivering with Uber Eats offers a flexible way of making money. Start Delivering with Uber Eats. See how delivering with the Uber app can help you make money flexibly.