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Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: • In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide, • Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands Qualification path No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements • Full Professional Proficiency in English language, • Being a resident in United Kingdom for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in United Kingdom, • Ability to follow guidelines and conduct online research using search engines, online maps, and website information, • Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance, • Daily access to a broadband internet connection, computer, and relevant software Assessment In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity. For inquiries, kindly contact:

Join IRIS in a leadership role where your payroll knowledge, people skills, and calm approach will make a real impact. We’re looking for an experienced payroll professional who enjoys supporting others, solving problems, and keeping service standards high. If you’re ready to step into team leadership - or you’ve already led a team and want a fresh challenge - this role gives you the platform, support, and progression to grow. 🧾Why This Role Matters As our Client Payroll Team Lead, you’ll look after the success of a team of around eight Client Payroll Executives. They manage payrolls for clients across a wide range of industries (excluding Education and Hospitality), and your job is to guide, coach, and support them so every client receives accurate and reliable payroll service. You won’t manage your own portfolio - your focus is on people, service quality, and keeping everything running smoothly. This involves monitoring performance, helping with tricky queries, planning workloads, and stepping in when needed to protect service levels. 👥About the Team You'll Join You’ll be part of the Corporate vertical within our Managed Payroll Services division - we manage payrolls for clients across a range of industries (excluding Education and Hospitality). This team sits at the heart of our service delivery, working closely with Implementation, Support, Sales, and Account Management to ensure everything runs smoothly. You’ll report to a Regional Operations Manager and work alongside other Team Leads to share ideas, solve problems, and create the best possible experience for our clients – and our colleagues. 📊What You'll Be Doing • Lead and support a team of around 8 payroll specialists, making sure they hit deadlines, deliver high-quality work, and feel supported., • Handle escalations and challenges, keeping calm under pressure and guiding the team to solutions., • Coach and develop your people, holding 1:1s, giving feedback, and helping them strengthen their skills., • Work closely with other teams such as Implementation, Finance, IT, Sales, and Account Management to give clients a smooth, joined-up experience., • Plan workloads and monitor service levels, adjusting quickly when things change., • Help with key operations including onboarding, invoicing, migrations, compliance checks, and maintaining accurate CRM/SharePoint records., • Encourage a positive team environment, sharing updates clearly, recognising good work, and driving improvements., • Spot where processes can be better, and help bring those improvements to life. 🔎What We’re Looking For You’ll shine in this role if you have: • Strong payroll processing experience - ideally in a bureau, outsourced, or multi-client environment., • A natural ability to support and guide others., • Confidence handling multiple priorities and staying organised., • Great attention to detail, plus good working knowledge of Excel and other tools., • Clear, calm, professional communication skills. 🎁What You’ll Gain • A supported move into leadership, with coaching and structured development., • The chance to influence how payroll services are delivered across our Corporate client base., • A friendly, inclusive environment where ideas are welcomed., • A clear career path through the IRIS Career Framework., • Real impact - you’ll see the difference you make to your team and our customers every day. 📝 What Can You Expect From Our Application Process? We understand that exploring a new opportunity within IRIS is a big decision - so we’ve kept the process simple, supportive, and focused on helping you shine. Here’s what happens once you hit “apply”: 1️⃣ Apply online Just upload your CV and tell us why you’re interested in the role. 2️⃣ Initial Interview (plus Online Assessments) A short chat with our Talent team plus two quick assessments: • CCAT (15-minute timed test)., • EPP (untimed personality questionnaire). 3️⃣ Final interview A competency-based interview with members of the Managed Payroll Services leadership team. Ready for the Next Step in Your Payroll Career? If you enjoy leading by example, supporting others, and keeping service running smoothly, this is an exciting opportunity to grow your career while helping others succeed. Apply now and become a key part of our Corporate Payroll leadership team at IRIS.

Unit: School of Health, Wellbeing, and Social Care Salary: £38,784 pro rata Location: Homebased Please quote reference: WELS_WalesSocialWork Part-Time: KZW216 – 0.123 FTE (Approx 32 days), Permanent K355 – 0.103 FTE (Approx 27 days), Permanent Closing Date: 5 December 2025 at 12:00 noon Change your career, change lives The Open University is the UK’s largest university, a world leader in flexible part-time education combining a mission to widen access to higher education with research excellence, transforming lives through education. The role We are looking to recruit several Associcate Lecturers in Social Work in Wales, in the School of Health, Wellbeing, and Social Care at the Open University. The position is part-time and would involve teaching one or more modules. There are immediate teaching needs on the following modules: KZW216 and K355 in Wales. The position is home-based. The workload will vary to support student needs and marking and assessment schedules. This is likely to include exam and end of module marking tasks. Other tasks will be required such as focused student support (individual and forum), such as peer mentoring and working with the module team on assessment activities and quality improvement. The ability to teach through the medium of Welsh would be welcome but is not essential. Some evening and weekend work will be required. Contract start date: February 2025 Person specification: The person specification for this position should be read in conjunction with the generic person specification for a Associcate Lecturer at The Open University. As well as meeting all the requirements set out in the generic person specification, you should have: • a first degree in social work or a relevant discipline., • a professional social work qualification and practice experience (preferably recent)., • experience of delivering social work education as a practice teacher, practice assessor, or associate lecturer, familiarity with the literature, policies, and research in social work., • familiarity with current practice regarding the delivery of personal social services., • sensitivity to the needs of adult learners, and an understanding of how adults learn., • evidence of ability to negotiate, liaise, and problem-solve with a range of agency contacts., • experience in the use of IT or a willingness to train and experiment with IT. It would be an advantage to have: • A higher degree or Ph.D. (or equivalent)., • Evidence of having taken the initiative to deliver better teaching and learning or to take advantage of new technology in teaching., • Teaching qualification in relevant subject or HEA accreditation., • The ability to work through the medium of Welsh. What you get in return We have a strong commitment to providing training and development in and beyond your current role. To ensure they remain up to date with developments in their academic field, Practice Tutors are allocated 6 days (pro-rata) per annum for AL-led (ie. self-directed) Academic Currency and 1 day, plus 5 days pro rata, per annum for Agreed Academic Currency and Professional Development. Benefits include a supportive and friendly working environment, 27 days holiday per annum (pro rata) with variable (pro rata) Bank holidays and an attractive pensions proposition. Tuition Delivery Mixed (face-to-face & online) How to apply An application form and job-related information are available from the links located below. Any queries regarding the application process please contact AL-Recruitment on , quoting the reference WELS_WalesSocialWork. All candidates will be asked to provide proof of eligibility to work in the UK at interview. The University is unable to offer visa sponsorship for this role as per the requirement laid out the UK Visas and Immigration regarding Right to Work in the UK. To work with us you will need access to the internet. Successful applicants will be required to undertake a DBS check or equivalent for their nation of residency. Early closing date notification We may close this job advert earlier than the published closing date where a satisfactory number of applications are received. We would therefore encourage early applications. Email : Hard copies and access details for disabled applicants are available from the Recruitment Co-ordinator by email (on the link above), quoting the reference WELS_WalesSocialWork. The Open University is committed to equality, diversity and inclusion which is reflected in our mission to be open to people, places, methods and ideas. We aim to foster a diverse and inclusive environment so that all in our OU community can reach their potential. We recognise that different people bring different perspectives, ideas, knowledge, and culture, and that this difference brings great strength. We strive to recruit, retain and develop the careers of a diverse pool of students and staff, and particularly encourage applications from all underrepresented groups. We also aspire to make The Open University a supportive workplace for all through our policies, services and staff networks.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location: Remote with expected travel into Paddington 2 days per week. How You'll Make an Impact: As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability., • Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring., • Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications., • Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs)., • Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance., • Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability., • Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time., • Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field., • 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications). What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at ___ Company ___ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits:, • Remote First, Remote Always, • PTO in accordance with local labor requirements, • 2 corporate apartment accommodations for team member use for free (San Diego & São Paulo), • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at 858-201-7832 or via email at . Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

🌟 Join Our Growing Team: Further Maths Tutor (Early Hire Role) 🌟 ✅ Flexible Hours ✅ Remote ✅ £18-£25 per hour ✅ Paid training period Hey everyone! We’re StackTuition. A tutoring business started by a software engineer who was tired of the old school, one-size-fits-all way of teaching. We’re building something different: a modern, collaborative, and enjoyable place to tutor. We’re now building out our Further Maths Accelerator Course and need a friendly, passionate tutor to join us. This isn’t just a teaching role, you’ll help us shape the course itself from the ground up. The Role: • Collaboratively build our new Further Maths Summer Accelerator Course. Your input will directly shape what we create., • Deliver engaging Further Maths lessons online., • Guide students with a mix of structure and flexibility. We help them own their schedule while making sure they’re on track. We’re looking for someone who: • Took A Level Further Maths., • Is a clear, kind, and patient communicator., • You have the time and energy to help build something new. This role is for someone who won’t get overwhelmed by a bit of creation and iteration., • You have an entrepreneurial mindset. You’re proactive and excited to help shape how we teach this new course. Nice to haves: • Experience is not essential. We’re happy to train and upskill the right person., • STEM degree is useful but not required Why work with us? • You choose your hours. Work as much or as little as fits your life., • Paid training so you feel confident and ready., • £18–£25/hour depending on experience., • No rigid hierarchy here. We’re a young team who values fresh ideas., • Build with us, as an early hire, you’ll help shape our courses and culture., • Supportive, tech-friendly environment. Think collaborative tools, smart resources, and zero dusty textbooks. If you love maths and want to teach in a modern, low ego way, we’d love to chat.