Remote Dev Jobs
61 jobs available
Stripe · 🇺🇸 Seattle, United StatesRemote2d ago
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed
EverpureRemote3d ago
Headquarters: Remote, United Kingdom Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join Everpure™ at the epicenter of the AI revolution. As a Senior Account Executive specializing in AI and High-Performance Computing (HPC), you will lead the mission to deliver critical data infrastructure to the world’s most innovative organizations. You’ll serve as a strategic visionary, orchestrating complex pursuit teams and collaborating with C-suite executives to power the next generation of machine learning and data science workloads. This is an opportunity to thrive in a high-growth environment where your expertise directly shapes the future of AI innovation. WHAT YOU'LL DO Drive AI Infrastructure Adoption: Evangelize the Everpure™ Platform and our radically simple, all-flash technology to organizations at the forefront of AI innovation, ensuring they fully grasp our unique value proposition for advancing the field. Lead High-Stakes Pursuits: Orchestrate cross-functional pursuit teams and develop strategic account plans that engage all internal resources to secure new logo acquisitions and win complex, multi-million-dollar deals within F1000 companies. Cultivate Executive Partnerships: Build and maintain deep-rooted relationships with C-Suite, SVP, and VP-level decision-makers, navigating the data center to the boardroom to establish Everpure™ as a long-term strategic partner. Influence the AI Roadmap: Collaborate directly with our product and engineering teams to prov
Guidehouse · 🇺🇸 United StatesRemote1w ago
Job Family : Data Science & Analysis Travel Required : Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligen…
HuntressRemote1w ago
Headquarters: Remote Ireland Reports to: Director, Security Operations Center Location: Remote Ireland Compensation Range: €115,200 to €133,000 base plus bonus and equity What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 14M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. What You’ll Do: The Huntress Security Operations Center is a global team of security analysts dedicated to investigating and responding to incidents on our partners’ networks 24/7, 365 days a year. Daily activities consist of providing investigation, containment, and response actions across millions of endpoints. This role is accountable for defining and streamlining processes, workflows, and playbooks that enable effective day-to-day operations. As Huntress continues to grow, we are laser-focused on scaling our operations and force-multiplying our human analysts by 10X. This position is responsible for enabling analysts to meet our mission and achieve internal Service Level Objectives for response times.
DatabricksRemote2w ago
Headquarters: Remote - United Kingdom AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: United Kingdom - Remote (must be based in the UK for this role) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. Preferred locations: London (UK), Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tool
Lemon.io · EuropeRemote2w ago
Are you a talented QA looking for a remote job that lets you show your skills and get better compensation and career growth? Look no further than Lemon.io - the marketplace that connects you with hand-picked startups in the US and Europe. We are seeking a Senior QA Engineer for our client — for direct hire. The client is a B2B service provider based in Cyprus that specializes in building and managing technology and operational services for online businesses. We are looking for a detail-oriented and proactive QA Engineer who is passionate about quality and thrives in a fast-paced development environment. You'll play a key role in ensuring our products meet the highest standards by working across both manual testing and automation. Experience with tools like BrowserStack, TestRail, and Playwright (or willingness to grow into them) will help you succeed in this role. If you are a clear communicator who is proactive, takes ownership, collaborates well, and asks clarifying questions — and if you're comfortable working independently, managing your time effectively, and delivering high-quality results — please apply. Overlap: 8 hours with Cyprus (standard working day). Remote from the EU, or on-site in Limassol, Cyprus. Benefits: paid leave (available after 6 months of work) and an annual Christmas party trip. Requirements: 3+ years of experience in automation testing 2+ years of experience in manual testing 2+ years of experience working with Cypress, Playwright or Selenium Exceptional attention to detail Good command of English, both written and spoken. Strong organizational skills — ability to work full-time remotely with no supervision Responsibility — we want to trust you! Soft skills — we don’t ask you to find a topic for small talk, but being just polite is OK. NOT YOUR TECH STACK? We're placing Senior Developers (4+ yrs commercial experience) across AI Agent Architecture, AI Automation Architecture, AI Engineering, Site Reliability Engineering, Platform Engineering
Stripe · 🇺🇸 United StatesRemote3w ago
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Security Incident Response team works to analyze, investigate, and respond to threats before they impact Stripe’s business or users. From external attacks to insider threats, our goal is to respond with speed and precision, remediate, and support the incident postmortem process. The team is distributed, working across multiple AMER time zones, and will regularly coordinate with stakeholders in EMEA and APAC. What you’ll do You will leverage your security engineering experience to improve incident response capabilities at Stripe. With an emphasis on user and entity behavior analytics, as well as endpoint hardening, you will gain a deep understanding of Stripe’s systems, tooling, and workflows to be able to differentiate between legitimate and malicious activity. Using both threat intelligence and collected telemetry, you will guide and build Stripe-specific signals enrichment logic and incident response solutions that scale with our company. Lastly, your analytic capabilities will be critical during security incidents to reduce uncertainty, uncover root causes, and inform future prevention and detection mechanisms. Responsibilities Analyze and investigate a broad range of threats or activities occurring on client devices Develop requirements for detection models and enhancements to existing systems Collect, transform, and ingest raw data from disparate sources into threat detection pipelines Streamline incident response capabilities, ensuring the to
Lemon.io · 🌍 WorldwideRemote3w ago
Are you a talented Senior Data Engineer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. We'll manually find the best project for you according to your skills and preferences. Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? We will support you from the time you submit the application throughout all cooperation stages. Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Through our community, we will connect you with the best developers from more than 75 countries. We have several different roles for Data Engineers — please check the details if you're interested. Requirements — Data Engineers: 5+ years of commercial experience as a Data Engineer 2+ years of commercial experience with Azure DevOps is a must 2+ years of commercial experience with Databricks 2+ years of experience with DBT is required Experience with Airflow is a plus Requirements — Data Engineers: 4+ years of commercial experience as a Data Engineer 3+ years of experience with Apache Airflow and 2+ years of experience with Snowflake 3+ years of experience with Python and 1+ year with SQL Experience with AWS/GCP/Microsoft Azure/Snowflake is a must Strong technical skills: as a Senior Data Engineer, you are expected to be able to create projects from scratch and have a deep understanding of application
ToptalRemote1mo ago
Headquarters: Summary We are looking for a Tech Lead to take ownership of a delivery portfolio within a Manufacturing Engineering group that builds the data products the plant depends on. This is a hands-on leadership role focused on shipping and operating manufacturing data products in a validated production environment, while applying AI with sound judgment in a regulated context. General information This group builds manufacturing data products including real-time batch progression monitoring, process anomaly detection, and analytics that drive yield and throughput improvement. The team owns the data pipelines, cloud platform, environments, and delivery, and works closely with data science colleagues to define problems, provide data, and run the infrastructure required for production use. The role leads a small, senior, multi-disciplinary team and carries accountability for what is shipped, when it is shipped, and how it performs in operation. The environment requires disciplined promotion from DEV to QA to PROD, with validation, change control, traceability, and documentation handled rigorously. Tasks and Deliverables - Own delivery of a portfolio of manufacturing data products from concept through validated production use. - Lead a small, senior, multi-disciplinary team of data engineers, warehouse engineers, and full-stack developers. - Solve technical issues that stall the team, including pipeline failures, warehouse performance and cost, data quality, integration with plant systems, and production incidents. - Supervise progression from DEV to QA to PROD, ensuring validation, change control, traceability, and documentation are properly met. - Partner with data science to frame solvable problems, provide well-understood data and environments, and assess whether models are fit for intended production use. - Evaluate and introduce AI-assisted approaches to development, testing, documentation, and monitoring, with clear judgment on regulated-context limitations.
LatticeRemote1mo ago
Headquarters: Remote - Canada Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces. This is Engineering at Lattice Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges. The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. The platform you lead won't power a single product—it will shape the quality of every AI experience we deliver, becoming a foundational capability for how AI is built at Lattice. What You Will Do Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning. Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments. Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice. Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences. Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions. Build strong cross-functional partnerships and influence engine
Sanderson · 🇬🇧 London, United KingdomRemote1mo ago
Machine Learning Engineer 700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain ...
InstacartRemote1mo ago
Headquarters: United States - Remote We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance. As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift. About the Job Define Ads ontologies and metrics for c
FaireRemote1mo ago
Headquarters: Remote - US About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. Note: This is a remote role open to candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin. About this role Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. This role is for a highly experienced technical leader in the data space, whos
Lemon.io · 🌍 WorldwideRemote3mo ago
Are you a talented Senior Data Scientist looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Requirements: 4+ years of commercial experience as a Data Scientist 3+ years of experience with NumPy/Pandas 3+ years of experience with Python Experience with AWS, GCP, or Azure is required Strong technical skills: as a Senior Data Scientist, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. Strong self-organizational skills — ability to work full-time remotely with no supervision. Reliability — we want to trust you and expect that you won’t let us and the client down. Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. NOT YOUR TECH STACK? We have multiple projects available for Senior Developers. If you have 4+ years of commercial software development experience and are proficient in any of the following areas: AI Engineering, PHP
U-Glow GmbH · 🇩🇪 Mülheim, GermanyRemote57y ago
Du willst in einem jungen Tech-Team arbeiten und begeisterst Dich für KI, LLM und RAG für industrielle Einsatzzwecke? Dann werde Teil unseres Machine Learning Expert Teams und hilf uns dabei, Spezialwissen über ChatBots zugänglich zu machen! Wir entwickeln KI-basierte Lösungen, die für Betriebspersonal, Trainings und Schulungen zum Einsatz kommt und bei einer nachhaltigen Kompetenzentwicklung unterstützt. Aufgaben Du entwickelst KI-Systeme bestehend aus LLM, RAG, Datenbanken, Parsern, digitalen Avataren und individuellen Python-Funktionen Du analysierst die Retrieval-Qualität und Usability systematisch und optimierst eigenständig Du setzt generative KI für Vibe Coding ein, um schnell hochwerte Software zu implementieren Du entwickelst eine Pipelines und Modelle in Python und stellst die Qualität über ein anspruchsvolles Testskonzept sicher Du unterstützt dabei, die Pipeline-Architektur zu optimieren Du nimmst an kurzen Team-Meetings teil und arbeitest eng mit verschiedenen Abteilungen zusammen. Qualifikation Du studierst Informatik, Data Science, Geo-Informatik oder ein verwandtes Fach. Du hast Erfahrung mit Python, Cursor oder VS-Code und GIT Du hast Interesse an LLM, RAG und digitalen Avataren Du arbeitest strukturiert, selbstständig und lösungsorientiert. Du bringst idealerweise erste GitHub-Projekte, Commits oder eigene Repositories mit. Du hast Lust, Verantwortung zu übernehmen und neue Technologien auszuprobieren. Du verfügst über sehr gute Deutsch- und Englischkenntnisse. Benefits Arbeiten an einem echten Zukunftsprojekt mit starkem Fokus auf Nachhaltigkeit und gesellschaftlichem Impact Wertvolle Portfolio-Projekte für deinen späteren Berufsweg Learning by Doing: die Möglichkeit, dich eigenverantwortlich auszutesten Raum für Experimente: eigene Ideen einbringen, Modelle testen und innovative Ansätze ausprobieren Ein offenes, dynamisches Arbeitsumfeld mit flachen Hierarchien Mitarbeit in einem jungen, engagierten und sich gegenseitig unterstützenden Tech-Team
Auxmoney Gmbh · 🇩🇪 Düsseldorf, GermanyRemote57y ago
Your new team: Do you want to go beyond experimentation and bring machine learning reliably into production, where it creates real business impact? Then our Pricing team is the right place for you. You will work at the intersection of machine learning engineering and pricing, building and operating the systems that power our Dynamic Pricing platform. You will collaborate closely with Data Science, Data Infrastructure, and business stakeholders, and help shape the technical foundation of our pricing capabilities. What you can expect: Production ownership: You take end-to-end ownership of ML models from development and integration to deployment and monitoring in live environments. Reliable deployment: You operationalize machine learning models in a stable and maintainable way, and you proactively address common pitfalls when moving from experimentation to production. Snowflake enablement: You support and implement training workflows in Snowflake-based environments so model development and data platform components work smoothly across the ML lifecycle. Platform engineering: You build and further develop applications and services around our Dynamic Pricing System on Snowflake, enabling ML-driven logic in pricing workflows. Systems thinking: You keep an overview of complex system landscapes, understand dependencies and interfaces, and integrate ML components robustly into existing ecosystems. Cross-functional collaboration: You translate business and analytical requirements into technical solutions and act as a bridge between stakeholders, Data Science, and Data Infrastructure. Working model: You work remotely within Germany or hybrid at our offices in Düsseldorf or Berlin, depending on your preference and team alignment. Your profile MLOps experience: You have strong hands-on experience productionizing machine learning models and operating them reliably in productive systems. Python engineering: You write stable, production-oriented Python code and are confident with so
intercom · 🇩🇪 Berlin, GermanyRemote57y ago
<div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><p>Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.</p> <p>Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!</p> <h2>What's the opportunity? </h2> <p>Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and techno
Resolvetosavelives · 🌍 WorldwideRemote57y ago
<div class="content-intro"><p><span class="TextRun SCXW142035299 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW142035299 BCX0">Resolve to Save Lives (RTSL)</span></span><span data-contrast="none"> is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest </span><span data-contrast="none">health threats. </span><span data-contrast="none">Millions of people die from preventable health threats. We collaborate to close the gap between proven, life-saving solutions and the people who need them. </span><span data-contrast="none">Since 2017, </span><span data-contrast="none">we’ve</span><span data-contrast="none"> worked with governments and other partners in more than 60 countries to save millions of lives. We work toward a future where people live</span> <span data-contrast="none">longer, healthier lives, communities flourish, and economies thrive. This is an ambitious vision, and it inspires us and our partners to make progress every day.</span><span data-ccp-props="{}"> </span></p></div><p><strong>Position Purpose:</strong></p> <p>The <strong>Senior Strategist, Data & AI</strong> strengthens the capacity of RTSL and its government partners to use data, digital systems, and artificial intelligence to improve public health programs and decision-making. Working across RTSL's program portfolio, the role brings together public health strategy, data architecture, digital transformation, and AI governance to identify high-value opportunities and help translate them into practical, sustainable approaches.</p> <p>The Senior Strategist advises program and country teams on data architecture, interoperability, data governance, and AI readiness; shapes and prioritizes data- and AI-enabled initiatives; and builds RTSL's capacity to use emerging technologies responsibly and effectively. Externally, the role works with governments, technical partners, and the broader global health ecosystem to adv
The Rec Hub · 🇩🇪 GermanyRemote57y ago
🚀 Senior Talent Acquisition Partner – Technology (Data, ML & AI) 📍 Remote/Hybrid – Germany (EU Time Zone) 📄 Fixed Term Contract – 6 months, with possible extensions We're looking for an experienced Senior Talent Acquisition Partner to support one of Europe's leading digital healthcare businesses as they continue to invest heavily in technology, data and AI. This is an exciting opportunity to partner with a highly innovative, data-driven organisation that's transforming how millions of people access healthcare across Europe. You'll lead recruitment across a broad technology portfolio of Data & AI roles, partnering with hiring managers to build exceptional teams that will shape the next phase of the company's growth. You'll be a trusted advisor to the business, driving talent acquisition strategy, delivering an outstanding candidate experience, and owning hiring across multiple technical teams. 🌟 What You'll Do • Own end-to-end recruitment across Data, Machine Learning and AI functions • Partner closely with hiring managers and senior stakeholders to deliver exceptional hiring outcomes • Manage multiple vacancies simultaneously across mid-level, senior, staff and leadership hires • Source outstanding Data & AI talent using creative and strategic sourcing techniques • Build proactive talent pipelines across Germany and the wider European market • Deliver a seamless, high-quality candidate experience from first conversation through to offer • Use recruitment data and market insights to help hiring managers make informed hiring decisions • Drive continuous improvement across recruitment processes while supporting ambitious technology growth 🔍 What You'll Bring • 5+ years' experience delivering end-to-end technology recruitment in-house or through an RPO/embedded model • Proven experience recruiting Data Science, Machine Learning and AI professionals • Strong stakeholder management skills, with the confidence to partner with multiple hiring managers simultaneously •
Pleo · 🇬🇧 United KingdomRemote57y ago
About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. About the role Pleo's Intelligence function covers the full analytical picture - product behaviour, GTM performance, commercial data science, financial reporting, and operational intelligence. The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions that analysts, product teams, and AI tools depend on to get consistent, trustworthy answers. You'll be embedded in the Product Intelligence team, building the tracking, experimentation, and data modelling foundations that make product data trustworthy and self-serve. You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. If you want to build the infrastructure that other p