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Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and _ rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges. What you’ll be doing: Build and optimize data pipelines and backend services to process device and behavioral data in real time. Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. Turn raw data into production-ready features that feed our fraud detection systems. Collaborate with platform and backend engineers to integrate models seamlessly. Maintain high standards of security, privacy, and compliance. Champion best practices in testing, documentation, and observability. What you’ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration. Excellent communication skills in English, both written and verbal. Bachelor's or Master's in Computer Science, Engineering, or a related discipline. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Background in Software Engineering Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Job Title : Front of House Manager Hours : 40 hours per week Rate of Pay : £13.60 per hour Location : Livingston Bannatyne is synonymous with providing exceptional fitness and wellness experiences across the UK. Our state of the art facilities and commitment to high standards make us a leader in the industry. We are currently seeking a dynamic and enthusiastic Front of House Manager to join our team and ensure members and guests receive the highest level of service. Our Perks: B-Fed - complimentary lunch or breakfast. Flexible schedule. 28 days annual leave increases with tenure. Free gym membership. Complimentary gym membership for another person (after 2 years service). Discounted Spa Treatments - 30% Discounted Spa Goods - 20% ELEMIS Products. Discounted Meals and Beverages - 50% cafe/bar. Career & Personal Development training. Mental Health, Well-Being and EAP Services. Length of Service Awards. Staff Awards and Bonuses. Discounted entertainment and shopping. A typical day in the life of a Front of House Manager: Lead, train and motivate the front of house team to provide outstanding customer service. Required to perform Duty Manager duties such as being a key holder, and having responsibility for unlocking/locking the building if the DM is closing/opening the club. Along...

Café Manager The Larder West Lothian Location: Livingston, West Lothian Salary: £33,749.49 Job Type: Full-time, Permanent (37.5 hours) Lead a café with purpose Were looking for an experienced Café Manager to lead a busy, community-focused café in Livingston. This is a hands-on role ideal for someone who enjoys delivering great food, leading a small team, and running a tight, efficient operation. Youll take full responsibility for day-to-day service, ensuring consistently high standards in food, customer experience, and compliance while also contributing to the commercial success of the café. Youll also mentor trainees and young people in a live café environment helping them gain real-life work experience, practical skills, and confidence in hospitality. Ideal for an experienced café or kitchen professional who enjoys leading teams, running a smooth operation, and making a genuine impact. Apply now Closing date: Monday 27 July 2026 Interview date: Tuesday 11 August 2026 AMRT1_UKCT ...