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Role is based in Norwich, hybrid working. Up to £25,500 plus bonuses. Job Purpose To proactively support the Managing Director and wider Client Services Team, in providing an excellent service to our Clients and Affiliates. Proactively seek new and manage existing campaigns, clients and affiliates to meet and exceed revenue targets. Responsibilities • Adhere to the business plan and KPIs outlined by the Managing Director, providing regular feedback on performance., • Identify partners to proactively approach to increase the variety and value of campaigns, clients and affiliates., • Proactively manage relationships through effective and regular communication with all partners via all methods of communication; phone, email, skype, LinkedIn., • Understand the needs of clients & affiliates and bring them together to achieve the KPIs set in the business plan., • Seek feedback from the Managing Director and wider team, on the performance of existing campaigns and agree changes with partners to improve performance., • Ensure competitive commercials are negotiated with all partners in line with the agreed targets, while considering business KPIs., • Ensure Clients and Affiliates adhere to our terms and conditions., • Suggest optimisation opportunities to clients and team members and execute accordingly, • Represent the Group at conferences and attend Client and Affiliate meetings if required., • Ensure necessary compliance docs have been completed by all parties (affiliate, clients and agency partners)., • Maintain the accurate upkeep of all Clients and campaigns., • Ensure the accurate tracking of all campaigns, placing and testing affiliate tracking pixels are working correctly as per integration within the tracking platform., • Ensure the timely and accurate update of network alerts, • Answer telephones and give information to callers, take messages, or transfer calls to appropriate individuals., • Respond to queries in an effectively and timely manner, liaising with relevant team members to complete such tasks., • Weekly reporting to clients, including sales data and competitor analysis., • Support Reporting Officer with sales figures and billable statistics for finance related matters – i.e invoicing., • Ensure performance is in line with KPI’s, • Ad hoc projects as required Desired attributes & experience • Excellent interpersonal skills, with the confidence to approach and communicate with people., • Exceptional negotiation and presentation skills, • Experience in a Administrative and /or Account Management related role., • Extremely driven with the ability to work on own initiative, • Positive and honest with a can-do attitude, • Good knowledge of Microsoft applications, • Good organisational skills with the ability to manage multiple projects simultaneously., • Problem solving skills, • Excellent communication skills, • Organised, • Enthusiastic, • High moral standards, • A-C GCSE in Maths, English and Science

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform. We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally. Additionally, this role will work closely with our cross functional partners to help develop our fraud detection and decisioning systems. • Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals., • Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies, • Report on fraud trends and loss drivers to cross functional partners and senior management, • Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner, • Work together with our operations team to help limit losses and ensure optimal review volumes, • Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities, • Assist with team planning and goal setting as well as coaching and mentorship of more junior team members, • 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics., • Product knowledge - Passion to understand how the product works and how to change it to make it more effective, • Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity, • Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues., • Technical skills - Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis, • Communication - Ability to build strong cross functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences, • Multi-tasking - Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics, • Industry knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development., • Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired Pay Grade - O Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £133,000 - £173,000 Location - Remote UK #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents, • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses, • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge, • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's _ and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Kappa Lab is a digital assets market maker committed to delivering 24/7 deep liquidity and enhancing market efficiency. Our proprietary technology enables us to provide swift and effective solutions to our partners, while our sophisticated algorithms ensure efficient and consistent pricing across all trading venues. We fuel the Web3 ecosystem, driving innovation in pioneering projects with the professionalism and dedication of our exceptional team. Description As a Quant Developer at Kappa Lab, you will be working within a trading team, playing a pivotal role in translating quantitative trading strategies into operational algorithms and production-grade code. You will be working at the forefront of the rapidly evolving world of cryptocurrency trading. This position demands a blend of problem-solving skills, adaptability, and collaborative teamwork. If you possess a strong background in programming, excellent analytical skills, and an interest in the crypto markets, we want to hear from you! We offer a hybrid working arrangement, with the opportunity to be based in either our London or Dubai Office. Responsibilities • Design, develop, and implement high-performance trading algorithms and systems for cryptocurrency markets, ensuring they align with quantitative strategies and market-making objectives., • Optimize code for speed, reliability, and scalability to handle high-frequency trading environments and large-scale data processing., • Analyze market data, liquidity patterns, and order book dynamics to improve algorithm efficiency and pricing models., • Improve reporting and analysis of the existing system's performance. Required skills • Proficiency in Python., • Strong understanding of data structures, algorithms, and software design principles., • Experience with data analysis and manipulation using libraries like NumPy, Pandas, or similar tools., • Good knowledge of probability, statistics, and quantitative modeling techniques., • Familiarity with cryptocurrency markets, blockchain technology, and trading concepts (e.g., order types, liquidity provision)., • Excellent problem-solving skills and the ability to work effectively in a fast-paced, team-oriented environment. Desirable skills • Proficiency in Rust and/or Cython.., • Experience in high-frequency trading (HFT), market making, or algorithmic trading in crypto or traditional finance. Kappa Lab is an equal opportunites employer committed to creating an inclusive and diverse workplace. We welcome applications from all individuals and do not discriminate based on race, colour, nationality, ethnicity, religion or belief, sex, sexual orientation, gender identity or expression, marital status, pregnancy or maternity, disability, or age. We value and respect the unique contributions each person brings, and we strive to ensure that everyone can thrive and grow within our organization.

How We Work We're on a mission to create the most innovative and industry-leading cryptocurrencies exchange. Our team is globally distributed, so clear communication is critical. We are in constant contact as we hustle to develop, support, and deliver the best platform possible for our users. If you get excited about being in an industry that is breaking new ground and have a disposition of confidence towards challenging technical feats, we want to talk to you. We’re currently looking for a Customer Support Specialist to join our team. The position is remote and available to anyone self-driven, and with the experience and capacity to contribute to our vision. Key responsibilities Effectively handles inquiries and requests from corporate and professional traders Continuously upgrade skill sets Lead by example to demonstrate full ownership of outstanding customer service Contribute to the positive customer support culture through active participation and support of the Bitfinex vision, initiatives, and objectives Cross-team interactions You must be able to work independently with minimum supervision, flexible as to working arrangements and hours, and confident in making decisions in accordance with Bitfinex’s practice. Experience and a deep interest in working with Finance, Mathematics or Statistics Good understanding of trading and derivatives markets Strong analytical ability Experience in customer relations, ability to handle requests and inquiries is essential Excellent communication skills in English Passionate about cryptocurrency and blockchain world Detail-oriented Security and privacy focus Familiar with Office Suites (especially Excel)

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + | ✨ About us: At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. Our technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): • _ for all of our analytics usages, • and for our data modelling and warehousing, • PyData stack for model development and offline deployment, • Google Vertex AI platform for cloud computing, • _ for backend infrastructure, • Python for ML model microservices, • Go lang for most other microservices, • AI toolings for productivity (an evolving list), • Google suites including access to Gemini, • ChatGPT enterprise, • Claude code 🤩 You should apply if: • You are result oriented and motivated by the impact on our customers and business, • You enjoy a high degree of autonomy and thrive in a fast-paced environment, • You are keen to grow your knowledge in both business and technology 📌 You must have: • Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering, • In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc, • Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap, • Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry, • Great attention to details while keeping an eye on the big picture, • Excellent communication skills to articulate complex problems, • Capability to build mutual respect and trust with people of different background Nice to have: • Experience in UK/EU retail lending businesses for personal/business customers, • Experience of ML model governance in a regulated industry, • Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: • 30’ Recruiter Call, • 45’ Initial Call, • 60’ ML technical skill interview, • 60’ Behavioural interview All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on _ What’s in it for you: 💰 £86,000 to £105,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits _ #LI-DC2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

About The Role Are you a communication maestro with a zest for skincare and beauty? Do you thrive on delivering stellar customer service every time? If yes, you might just be the perfect fit for our dynamic Ambassador and Customer Experience team at Tropic Skincare! As a dedicated Customer Experience Specialist, you'll be the heartbeat of our Ambassador and customer interactions. This role is all about ensuring every conversation sparkles with friendliness and helpfulness, whether it's over the phone, through emails, or any other communication channel. You’ll be the go-to guru for advice on our 100% organic skincare products, assisting with returns, refunds, and ensuring every issue is resolved with a smile. Key Responsibilities • Resolve all Customer and Ambassador queries, including complaints, via chat, email, phone, and social media., • Be excited by the prospect of helping over 20,000 Tropic Ambassadors run their own beauty businesses, some of whom will start to feel like friends!, • Communicate courteously and provide customers with help and advice by telephone, email, and chat., • Collaborate with various departments to seek further product information to resolve queries., • Stay updated with any changes made to Tropic’s products., • Record relevant data and statistics into Excel spreadsheets., • Manage varied departmental administration, including completing spreadsheets and processing returns, refunds, and exchanges. What We're Looking For • A proven track record in customer support., • A natural people person with superb communication skills, capable of building lasting relationships., • A proactive problem solver, always ready to tackle new challenges and contribute fresh ideas., • Exceptional organisational skills, comfortable managing time-sensitive tasks., • Familiarity with Zendesk is a plus; however, a willingness to learn is essential., • Previous administrative experience and the ability to work to tight deadlines., • Passionate about being part of a team committed to sustainability and natural beauty. What We Offer • Location: Tropic HQ is a short walk from Beddington Lane Tram stop, with direct links to East Croydon and Wimbledon., • Hybrid Working: Enjoy a blend of office (3 days) and remote (2 days) working., • Hours: Full-time, 12-month FTC., • Shifts: Monday to Friday, 8am to 4pm and 11am to 7pm, with the occasional weekend shift., • Salary: Starting from £25,000 (depending on experience)., • Perks & Benefits: Generous annual leave, 24/7 well-being support, Discounted gym membership, Pension scheme, Exclusive skincare collection & 50% discount for family and friends, Annual product allowance, Free breakfast bar & well-being treats, Access to retailer discounts, Social events, On-site parking., • Start Date: Immediate About Tropic Susie, our Founder and CEO, started Tropic Skincare as a teenager, selling homemade body scrubs at Greenwich Market to help her mum pay the bills. She sold out on her first day, and the incredible response made her realise she had started something quite special. We still sell that iconic body scrub, and it sits alongside an extensive range of award-winning skincare and beauty products that have made us one of the UK’s fastest-growing beauty businesses. Our brand is certified vegan, cruelty-free and CarbonNeutral®, and our infinite purpose is to create a healthier, greener, more empowered world. And that’s where you come in! We’re looking for creative and ambitious people who share our vision and get excited about beauty that’s both innovative and sustainable. If you’re passionate about skincare and have a genuine desire to empower communities across the globe, you could be a great fit. Apply now if you’re ready to join a vibrant team who believes beauty knows no bounds! Tropic's Commitment to Equal Opportunities Our team is as diverse as it is talented because at Tropic, we go the extra mile to cultivate a culture of respect and belonging. We value every candidate, respect protected characteristics and never discriminate. We also provide reasonable accommodations for applicants with disabilities at every stage of the hiring process, so if this is something you need, please let our recruitment team know at the earliest opportunity! Ultimately, the most important thing for us is hiring the best person for the job, so we focus on skills, experience, and qualifications to ensure our process is fair and that our candidates always have a great experience with Tropic.

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

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

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.

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Why Engineering at Dataiku? Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look_. Here are some useful links so you preview what we do at Dataiku: ; , you can also take a look at the _, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo or try the free version . How you’ll make an impact This position is either onsite/hybrid from our London office or full remote from any part of the UK. As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes: • Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs., • Add new capabilities for data integration, transformation, and visualization using LLMs, • Optimize workflows for large-scale datasets and improve database support, • Strengthen developer tools like Jupyter notebooks and SQL workbenches, • Tech stack: Java, Python, AngularJS, Angular, • Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards., • Develop new chart types and optimize visualization performance, • Enhance dash boarding capabilities to deliver fast and flexible experiences, • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring, • AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference., • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models, • Collaborate with research teams on innovative machine learning experiments, • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS, • MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration., • Build tools to automate retraining, monitoring, and deployment of ML models, • Enhance collaboration features for ML stakeholders, • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker, • Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines., • Optimize processing engines for scalability and latency, • Expand capabilities to support new databases and cloud platforms, • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP, • AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes., • Develop customizable platforms for managing AI compliance and governance, • Simplify policy enforcement and integration across disparate systems, • Tech stack: Java, Angular, PostgreSQL What you need to be successful • We’re stack agnostic, so all you need is a significant experience in software engineering, building a real product, • We’re hiring at all levels (junior, mid, senior), • A passion for combining backend performance with exceptional frontend user experience., • You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale What does the hiring process look like? • Initial call with a member of our Technical Recruiting team (45min), • Video call with an Engineering Team Lead (1h30), • Technical Assessment to show your skills (Home Test or Live Coding), • Final Interviews with our VPs of Engineering (2h) #LI-Remote What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our _. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: _ Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity _

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 _.

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

About Tailscale Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. Job Description Join our rapidly growing Sales team where you will play an important role at one of the fastest growing companies in the Developer Security space. As a Customer Account Executive, you will be responsible for helping expand and renew current customer accounts. You will focus on finding additional use cases, educating the client base on new feature releases, and ensuring the successful adoption of Tailscale across all of your existing customer accounts. You will partner closely with the Solutions Engineering team, as well as collaborate with the Customer Success, Support, Marketing, and Product teams. We're an energetic company with a wide variety of backgrounds. We coach each other, share feedback, and collaborate to maximize our performance and earning potential, all the while aligning with our customers' needs. Key Responsibilities • Build a credible pipeline every quarter by engaging with clients on upsells and renewals, • Own an upsell and renewal number across your accounts, • Help educate customers on the value of Tailscale throughout the evaluation & adoption cycle, • Generate short-term results while maintaining annual pipeline coverage, • Provide accurate weekly forecasting & revenue delivery, • Create mutual action/success plans with prospective and existing customers where appropriate to help them evaluate and expand their usage of the Tailscale product What We Are Looking For • 2+ years of closing experience in an AE or an AM role, • A strong desire to join a high-growth software startup in a fully remote role, • Has sold developer and/or technical products, especially in a product-led growth (PLG) motion, • Experience presenting to senior managers and executives, • The ability to manage many opportunities simultaneously at various stages, coupled with a strong track record of meeting and exceeding quota, • Experience using Gong, or similar, to collaborate internally and manage pipeline, • Experience partnering with a Sales Engineering team, support, and customer success team to drive positive outcomes for clients, • Must be located in London to be considered. The team coworks at a WeWork 2 days a week. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. UK Pay Range (OTE)£98,750—£118,500 GBP Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! What We Offer • An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life., • A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles)., • Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!, • All-remote with the opportunity to work from anywhere—enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you)., • Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team/department off-sites, or use your individual travel budget to meet up with team members in Canada, the US, or the UK., • Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities., • Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!, • A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $1000 USD to customize your workstation to make it your own., • Generous parental leave program from your first day. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups for up to 26 weeks. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit _.

Are you a Frontend Software Developer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for enthusiastic fFrontend Software Developer professionals who have a desire to commit to a great team and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. Responsibilities As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a FrontEnd Software skillset (e.g.: hazard exposure platforms, conflict incident visualisation, custom data visualisation tools, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Working with Data Science and Data Engineering volunteers to enhance software used in data processing, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Three or more years of professional experience working in a software development team, as a developer, tester or other similar role, • For web development: experience in HTML, CSS, JavaScript, React and ideally at least one server side language (PHP, Python etc)., • Experience and proficiency working with Python, • Experience of or demonstrated willingness to learn testing regimes including unit and regression testing and continuous integration., • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience of developing with ESRI’s GIS product suite and/or other geospatial technology., • Experience with Systems Engineering, • An interest in data-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience. Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

Principal Software Engineer - Data Visualisation / Dashboard Development Engineering | Cyber Security £95,000 & Benefits Ever wanted your dashboards to actually defend the internet? This role does exactly that. We are recruiting on behalf of a high-growth cyber security technology company that protects some of the worlds most critical online services from large-scale DDoS and application attacks. Their software sits right at the heart of customer networks- and when it works (which it must), entire businesses stay online. Theyre now expanding their world-class engineering team and are looking for a Principal-level expert to lead the charge on network and security analytics. The Opportunity This is not a keep-the-lights-on role. Youll own and lead the design and development of sophisticated, high-performance dashboards used to visualise real-time network and security data. Youll set technical direction, mentor engineers, and build analytics that help customers instantly understand and stop complex cyber attacks. Youll be trusted to work from first principles, influence architecture, and make decisions that genuinely matter. What Youll Be Doing • Leading a small, highly skilled team focused on network & security analytics, • Designing and building advanced Grafana dashboards running in Kubernetes, • Turning complex data into clear, insightful visualisations, • Developing and reviewing complex queries (Grafana, Splunk, Python), • Mentoring engineers and shaping technical best practice, • Balancing hands-on development with technical leadership and ownership What Were Looking For Essential, • Strong experience building dashboards and analytics in Python and ideallyGrafana, • Proven background leading engineers in an agile environment, • Solid understanding of Linux and AWS, • Excellent communication skills you can explain complex ideas simply, • A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar) Nice to Have, • Knowledge of networking protocols and how the internet actually works, • Experience with Splunk & SPL, • SQL or similar data manipulation skills, • Exposure to network security products, • HTML, CSS, JavaScript, • Data Science or Machine Learning experience Location & Flexibility • Edinburgh-based engineers: hybrid working (typically 2 days in office), • Fully remote options available for the right candidate, • Cutting-edge tech, complex data, and meaningful problems, • A culture that values ownership, curiosity, and smart engineering If youre a senior/principal engineer who loves data, networks, and building things that actually matter this ones worth a conversation. Bright Purple is an equal opportunities employer and we are proud to work with clients who share our values of diversity in our industry, JBRP1_UKTJ

How you'll help us live our purpose We've been helping our members save for their future and buy their own home since 1875. Join us and you'll play a big role in helping us to put home ownership within reach of more people, generation after generation. It's a purpose that drives everything we do. And you can play your part too join our Risk Modelling & Measurement team as a Senior Credit Risk Modeller. How you'll make a difference You will support the Credit Risk team developing, monitoring, and maintaining credit risk models used across the society, within capital, provisioning, customer decisioning and other business needs. What will you bring to the role? • Previous analytical or data science experience within credit risk or broader financial institutions, with exposure to developing predictive models., • Knowledge on principles of credit risk model development, including scorecard, Basel/IRB or IFRS9 modelling (PD, EAD, LGD, etc.)., • UK retail lending experience., • In-depth knowledge and understanding of statistical aspects (especially these which are used in Credit Risk-Basel modelling):, • Logistic-Linear Regression, Scorecard development; model validation approaches (GINI coefficient; KS- statistics); Data sampling; Data mining; model maintenance frameworks., • Excellent analytical skills and a strong attention to detail., • A qualification in a degree with relevant analytical/statistical components., • Extensive coding experience (SAS, SQL, Python). And in return, you'll get the best from us: Hybrid working 2 days per week in the office • Annual bonus of up to 12%, • Matched pension contributions up to 10%, • 26 days holiday, plus bank holidays and holiday purchase scheme, • Colleague Mortgage and Saver products, • 2 days' volunteering per year We'll give you a place to belong with the support to learn, develop and shape a meaningful career. Why choose us? Our business is centred around our people. Our colleagues are at the heart of everything we do, as shown by our Inclusive Employers Gold accreditation in 2023 and 2025. We're committed to equal opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. You'll be joining a truly purpose-focused culture which helped us win the Leading with Purpose award at the 2023?Business Culture Awards. This recognises how we've embedded our purpose with our colleagues, and the actions we've taken to put home ownership within reach of more people, generation after generation. Why wait? Apply now We'd love to hear from you. But don't wait around - we may close the advert early and we'd hate for you to miss out. We're devoted to creating a culture and workplace that is representative of the communities we serve. If you'd like to work with us but are unsure if you meet the full criteria for a role, please contact the recruiter so we can find out more about your skills and experience. We're committed to supporting you to be at your best - to discuss any reasonable adjustments we could make, please contact us on . #LI-Hybrid JBRP1_UKTJ

EHS Manager Location: UK (with travel to ABP worksites and depots) Contract: Full-time, Permanent Are you an experienced EHS professional with a background in manufacturing or construction and a passion for driving high standards across safety, health and environmental performance? If you have strong working knowledge of ISO standards, CDM Regulations, this could be the ideal next step in your career. The Anglian Building Products division working from a nationwide network of depots & sites, specialises in the delivery of large scale window & door refurbishment projects, encompassing other construction related activity for social housing providers, local authorities & the MOD We are looking for a proactive and influential EHS Manager to join the ASHI/Anglian Group EHS team, supporting Anglian Building Products (ABP) across multiple worksites and depots. This is a critical role with real impact, ensuring safe operations, regulatory compliance, and continuous improvement throughout the organisation. About the Role The ASHI/Anglian Group EHS team plays a key role in supporting and coordinating with ABP's Technical, Compliance, and SHEQ functions. As EHS Manager, you will be responsible for: Key Responsibilities • Conducting planned Health & Safety/EHS inspections across ABP contract worksites, depots, and temporary compounds, following agreed schedules and standards., • Producing detailed inspection reports, including performance rankings, for the ASHI/Anglian Head of Group EHS and the ABP Head of Technical & Compliance., • Monitoring, measuring, analysing, and evaluating safety and environmental performance through systematic audits., • Identifying incidents and nonconformities, implementing corrective actions, and driving a culture of continuous improvement., • Exercising authority to immediately stop unsafe work in the event of a serious breach, and escalating appropriately., • Supporting the transition from hardcopy reporting to the Evotix digital system., • Collating completion statistics for ladder and hop equipment registers, with ongoing migration to Evotix formats., • Overseeing accident and near-miss reporting within Evotix, producing monthly performance statistics, commentary, and improvement recommendations., • Preparing monthly health, safety, and environmental performance data for Group and ABP Board papers., • Ensuring ABP installers participate in relevant Group health & safety initiatives such as training, toolbox talks, annual face-fit testing, and asbestos emergency procedure readiness., • Supporting toolbox talks and monitoring completion statistics for ABP installation teams. About You We're looking for someone who can build strong relationships across teams, influence safe behaviours, and bring expertise to the role. Essential Requirements • Minimum 3 years' experience in a more senior EHS role (6+ years preferred)., • Background in manufacturing or construction., • Strong working knowledge of ISO standards and CDM Regulations., • Level 3 NEBOSH qualification with suitable/demonstrable experience as a minimum (Level 6 NEBOSH Diploma or similar preferred)., • Experience conducting audits, risk assessments, and incident investigations., • Confident decision-maker with the ability to stop unsafe work when necessary., • Strong communication skills, both a board level and grassroots., • Had previous experience with behavioural change/hearts & minds. Why Join Us? • Competitive Salary, • 31 days holiday (increasing with service within 2 years), plus an additional paid day for your birthday with the option to buy more holiday via salary sacrifice, • Pension – with up to 4 x salary & income protection, with the option to potentially save on tax and National Insurance via our salary sacrifice arrangement, • Comprehensive health & well-being benefits including access to in-house occupational health & well-being resources, discounted gym memberships, employee assistance programme, & mental health resources, • Heavily discounted group discount scheme on all products, • Salary sacrifice benefits – enjoy perks such as pension, cycle to work, electric car purchase, and additional annual leave, while potentially reducing your tax and NI contributions, • Career development and continuous learning opportunities Our Company is committed to monitoring & aligning its Policies with up-to-date Government guidance on reducing the spread of respiratory infections in the workplace. Through the Companys value of Succeed Together we are committed to Equality, Diversity and Inclusion. We recruit the best person for the job regardless of any protected characteristics as defined by the Equality Act 2010 creating an inclusive working environment and culture for our employees. JBRP1_UKTJ