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🤖 Data Scientist
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🏢 Company: Charlotte Tilbury Beauty
📍 Location: London, England, United Kingdom
🖥 Work Type: 🏢 On-site
Posted: 2026-05-28

📋 About the Role:
About Charlotte Tilbury BeautyFounded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace.Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the bran­d is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help …

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🤖 Data Scientist
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🏢 Company: Kpler
📍 Location: Athens, Attiki, Greece
🖥 Work Type: 🏢 On-site
Posted: 2026-05-28

📋 About the Role:
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.Kpler are looking for a Data Scientist for our and Gas and Power teams, who are responsible for the enhancement of our cross commodity offering. With the energy transition, more and more of our users are interested in getting access to both Gas and Power data. This role is to improve our value by implementing models and algorithms, that will aggregate data from both teams to present a unified view on future forecasts, including but not limited to; storage, pipeline and consumption.Your Mission Is ToMaintain and …

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🤖 Data Scientist / AI-specialist
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🏢 Company: Agio
📍 Location: Luleå, Norrbotten County, Sweden
🖥 Work Type: 🏢 On-site
Posted: 2026-02-28

📋 About the Role:
Vill du arbeta med AI, prediktiva modeller och datadriven utveckling i projekt som gör skillnad på riktigt? På Agio får du kombinera teknik, analys och innovation i uppdrag som spänner över allt från brottsbekämpning till smartare vårdinformation.Vi söker nu erfarna Data Scientists med AI-kompetens till våra team i Stockholm och Luleå. Du väljer själv vilken ort du vill utgå ifrån.Om rollenSom Data Scientist på Agio hjälper du våra kunder att ta nästa steg i sin digitala resa.Du arbetar med:Avancerad dataanalys och AI/ML-modellerPrediktiva modeller och statistiska analyserAutomation, smarta dataflöden och beslutsstödIdentifikation av nya insikter som skapar direkt verksamhetsnyttaDu blir en viktig del i att hjälpa organisationer att utnyttja digitaliseringens möjligheter, från effektivisering till helt nya arbetssätt.Vi tror att du har erfarenhet av:Minst 4 års arbete som Data Scientist, dataanalytiker eller inom AI/ML-rollerAI/ML-modeller såsom prediktion, klassificering och klustringPython eller R (gärna med bibliotek som scikit-learn, pandas/polars, TensorFlow, PyTorch, XGBoost)Datavisualisering med Matplotlib, Seaborn eller BI-verktyg som Power BIVersionshantering (Git) och …

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🤖 Data Scientist
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🏢 Company: Contact Energy Ltd
📍 Location: Wellington, Wellington, New Zealand
🖥 Work Type: 🏢 On-site
Posted: 2026-05-28

📋 About the Role:
Company DescriptionTe Tākinatanga - Our StoryAt Contact, we believe home is the most important place in the world. That belief shapes everything we do, from leading the energy transition to how we power Aotearoa and care for our people and communities.We’re a power, broadband, and mobile company, but we’re also investing boldly in renewable energy and smarter, more connected ways of working (mahi). Our ambition is simple: to leave Aotearoa better than we found it.Guided by our tikanga, we’re a team who care deeply about the work we do, how we support one another, and the impact we have. Simply put, we touch lives to make life better.Within our Technology, Data & AI function, we’re building the capability to turn data into real, meaningful outcomes, better experiences for our customers, smarter decisions for our people, and stronger performance across the business.This Data Scientist role sits right at the heart of that journey. As we continue to grow our data and AI capability, we need people who can go beyond dashboards and basic tools. We want to create advanced solutions that move the dial and help shape what “great” looks like for Contact.Job DescriptionTe Whiwhinga mahi | The …

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🤖 Machine Learning Engineer
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🏢 Company: Mutinex
📍 Location: Chippendale, Queensland, Australia
🖥 Work Type: 🏢 On-site
Posted: 2026-04-30

📋 About the Role:
About MutinexWe're an early-stage B2B SaaS startup with a proven platform, big-name clients, and millions in revenue. We're not chasing unicorn status; we're building a sustainable, long-lasting business (think Bowhead Whale!). Mutinex is on a mission to build a universal business growth decision engine! It empowers marketing, media, agency, analytics, and finance teams to organise, analyse, and action data at scale, unlocking and optimising the true drivers of sustainable business growth.We're a hybrid team based in Sydney, Melbourne, and New York. We value communication, open-mindedness, and a culture of feedback.The RoleWe are looking for a Machine learning and Software Engineer to join our team at Mutinex, where you'll be a key contributor to help design, build, automate and optimise the infrastructure and tooling that powers our data science and product workflows.This is a software engineering role, applied to the data and machine learning domain. This hybrid role combines software engineering skills with machine learning engineering expertise to deliver automated, reliable, and observable ML pipelines that serve our customers globally. You'll have the opportunity to work …

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🤖 Machine Learning Engineer - All Levels
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🏢 Company: Halter
📍 Location: Auckland, New Zealand
🖥 Work Type: 🏢 On-site
Posted: 2026-05-21

📋 About the Role:
About HalterAt Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund, Bessemer Venture Partners, BOND, DCVC, Blackbird, Promus Ventures, Rocket Lab’s Peter Beck and Icehouse ventures.To find out more, visit our LinkedIn & Instagram.About The Role.Halter’s Predictive Systems group is dedicated to the development of …

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🤖 Machine Learning Engineer
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🏢 Company: Sanctuary AI
📍 Location: Vancouver, British Columbia, Canada
🖥 Work Type: 🏢 On-site
Posted: 2026-04-07

📋 About the Role:
Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward.As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects.Success CriteriaCollaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve …

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🤖 Machine Learning Engineer
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🏢 Company: Timescapes
📍 Location: Auckland, Auckland, New Zealand
🖥 Work Type: 🏢 On-site
Posted: 2026-05-21

📋 About the Role:
Timescapes is looking for a Machine Learning Engineer to join our small, but growing team of high-performers. We're after someone who approaches problems from first principles, honing in on underlying causes and diligently iterating towards the best solution. We believe that great products feature incredible experiences that customers never want to stop using.About UsFounded in New Zealand in 2017, Timescapes is a visual progress tracking solution for complex construction projects - our mission is to simplify construction through shared visibility. Customers value Timescapes because it helps them stay on schedule, validate construction claims and communicate progress more effectively.We're a rapidly growing company, and are used by some of the largest construction firms across Australia, Canada, New Zealand and the United States. We're deliberate and thoughtful in everything that we do, and we emphasise awareness, speed and quality in our approach to product development.About The RoleAs our second dedicated ML / AI hire at Timescapes, you'll be working closely with our product and engineering team to develop ML models (computer vision) and incorporate them into our existing (and …

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🤖 Machine Learning Engineer
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🏢 Company: Viridien
📍 Location: Calgary, Alberta, Canada
🖥 Work Type: 🏢 On-site
Posted: 2025-07-19

📋 About the Role:
Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Machine Learning EngineerCalgary, AB, CanadaFull-timeCompany DescriptionViridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.Job DescriptionViridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral …

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🤖 Machine Learning Engineer
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🏢 Company: Timescapes
📍 Location: Auckland, New Zealand
🖥 Work Type: 🏢 On-site
Posted: 2026-05-28

📋 About the Role:
About the CompanyTimescapes is looking for a Machine Learning Engineer to join our small, but growing team of high-performers. We’re after someone who approaches problems from first principles, honing in on underlying causes and diligently iterating towards the best solution. We believe that great products feature incredible experiences that customers never want to stop using. This role could be based in Auckland, Sydney or Melbourne.Founded in New Zealand in 2017, Timescapes is a visual progress tracking solution for complex construction projects – our mission is to simplify construction through shared visibility. Customers value Timescapes because it helps them stay on schedule, validate construction claims and communicate progress more effectively.We’re a rapidly growing company, and are used by some of the largest construction firms across Australia, Canada, New Zealand and the United States. We’re deliberate and thoughtful in everything that we do, and we emphasise awareness, speed and quality in our approach to product development.About the RoleAs our second dedicated ML / AI hire at Timescapes, you’ll be working closely with our product and engineering team to develop ML …

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🤖 Machine Learning Engineer
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🏢 Company: Mutinex
📍 Location: South Melbourne, Victoria, Australia
🖥 Work Type: 🏢 On-site
Posted: 2026-04-30

📋 About the Role:
About MutinexWe're an early-stage B2B SaaS startup with a proven platform, big-name clients, and millions in revenue. We're not chasing unicorn status; we're building a sustainable, long-lasting business (think Bowhead Whale!). Mutinex is on a mission to build a universal business growth decision engine! It empowers marketing, media, agency, analytics, and finance teams to organise, analyse, and action data at scale, unlocking and optimising the true drivers of sustainable business growth.We're a hybrid team based in Sydney, Melbourne, and New York. We value communication, open-mindedness, and a culture of feedback.The RoleWe are looking for a Machine learning and Software Engineer to join our team at Mutinex, where you'll be a key contributor to help design, build, automate and optimise the infrastructure and tooling that powers our data science and product workflows.This is a software engineering role, applied to the data and machine learning domain. This hybrid role combines software engineering skills with machine learning engineering expertise to deliver automated, reliable, and observable ML pipelines that serve our customers globally. You'll have the opportunity to work …

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🤖 Machine Learning Engineer
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🏢 Company: Skip
📍 Location: Edmonton, Alberta, Canada
🖥 Work Type: 🏢 On-site
Posted: 2026-05-26

📋 About the Role:
Ready for a challenge?Then Just Eat Takeaway.com might be the place for you. We’re a leading global online food delivery platform, and our vision is to empower everyday convenience.Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.About This RoleWe are looking for engineers with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. Honestly, it is a great environment! You will work with brilliant people with world class knowledge, and a passion for sharing knowledge and solving interesting and complex problems. You will collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. From predicting …

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🤖 Machine Learning Engineer, Global Public Sector
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🏢 Company: Scale AI
📍 Location: Doha, Qatar
🖥 Work Type: 🏢 On-site
Posted: 2026-05-10

📋 About the Role:
Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:Creating custom AI applications that will impact millions of citizensGenerating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AIScale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.The MissionApplied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to …

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🤖 ML Engineer
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🏢 Company: Sunset
📍 Location: New York, NY
🖥 Work Type: 🏢 On-site
Posted: 2026-04-11

📋 About the Role:
About SunsetSunset is building the data layer for real-world AI training. We work with frontier labs to turn messy, multi-modal enterprise data into the highest-quality training data on the market — sourced from the hundreds of venture-backed startups we help wind down.We're a fast-growing team based in-person in Dumbo, Brooklyn. Backed by Floodgate, Afore Capital, Hustle Fund, and incredible entrepreneurs.The RoleAs an ML Engineer at Sunset, you'll take the cleaned, resolved data coming out of our pipeline and figure out what to build with it. The raw material is unique — real codebases, tickets, messages, docs, and decisions from real companies, with every linkage preserved. The open question is how to turn that into the most valuable training data on the market. You'll have wide latitude and direct access to the CEO and CTO on direction. All of this happens on deeply sensitive data, so everything we build is designed with security and privacy at the core.What You'll Work OnYou'll own problems end-to-end. Some examples of what you might tackle in your first 90 days:Extracting realistic, verifiable agent tasks from linked repos, tickets, and PRsBuilding environments from real …

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🤖 AI/ML Engineer Intern
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🏢 Company: Melotech
📍 Location: New York, NY
🖥 Work Type: 🏢 On-site
Posted: 2026-05-29

📋 About the Role:
Who We AreMelotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.What You Will DoAs our ML Engineer Intern, you'll be the technical backbone powering our content platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of users while maintaining low latency? What's the optimal architecture for training and deploying models that understand cultural trends in real-time? And how do we leverage cutting-edge models to enhance creative processes while preserving quality? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:Building and deploying production ML models for within our content and product ecosystemDesigning scalable ML infrastructure and pipelines that handle massive …

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🤖 AI/ML Engineer
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🏢 Company: Ello
📍 Location: San Francisco, CA
🖥 Work Type: 🏢 On-site
Posted: 2026-05-28

📋 About the Role:
Ello’s mission is to maximize the potential of every child, everywhere. To close that gap, we’re building the world’s first AI teacher: one that listens, speaks, adapts, and inspires, just like the best human educators.Our first product, Read with Ello, has already helped hundreds of thousands of kids each week learn to read. It listens as they read aloud, offers support when they stumble, and generates magical, personalized stories. It works, and kids love it.Now, we’re scaling that success into something even bigger: a complete AI teacher for all children. Our new app combines language, speech, and memory to deliver interactive learning for kids worldwide – check it out here. We’re moving fast: we ship weekly, test directly with kids, and push the boundaries of what AI can do in education.About The RoleWe’re looking for an AI/ML Engineer to join our product engineering and applied research team. Our team operates at the intersection of research and production, solving open-ended problems while delivering real-world products. We use the best tool for the job, whether that’s a novel machine learning model or plain software engineering fundamentals.You’re excited to build an AI …

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🤖 Machine Learning Engineer (MLOps / Production ML Engineer)
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🏢 Company: Saransh Inc
📍 Location: Hartford, CT
🖥 Work Type: 🏢 On-site
Posted: 2026-05-27

📋 About the Role:
Translate data science prototypes into production-grade ML services and pipelines.- Build training and inference code with reproducibility, versioning, and automated testing.- Implement scalable model serving (online/offline), batching, and latency/throughput optimization.- Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).- Collaborate with Data Engineering on feature pipelines and data contracts.- Own production health drift detection, performance regression, rollback strategies, and incident response.""- 5+ years software engineering with 2+ years shipping ML models to production.- Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).- Experience with containers and orchestration (Docker/Kubernetes) and API development.- Understanding of ML system design (data leakage, training-serving skew, drift).- CI/CD and DevOps practices applied to ML workloads (MLOps).""- Experience with feature stores, model registries, and model monitoring stacks.- GPU optimization and distributed training experience.- Experience with responsible AI toolkits and compliance requirements."Python, TensorFlow, PyTorch, Docker, REST APIs

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🤖 Data Scientist, Machine Learning
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🏢 Company: Orlando Magic
📍 Location: Orlando, FL
🖥 Work Type: 🏢 On-site
Posted: 2026-05-22

📋 About the Role:
Before we get into the specifics of the role, there are a few things we want you to know:At the Orlando Magic, our approach is to not only learn as much about you as we can, but for you to learn about us. This is definitely a two-way street, so time with your potential new leader, teammates, and/or other departments that the role will work with is critical. It isn’t just, “what are we looking for”, but also, “what do we have to offer you” and “are we the right fit for you.” While every position is different, our interview process is typically a three-step process, sometimes more depending on the level and nature of the role.What We Offer YouStaff tickets to Magic home games, learning and development opportunities, Employee Resource Groups (ERGs), company sponsored events, volunteer opportunities & outings for every employee.Fantastic benefits that include: medical, dental, vision, 401(k) with company matching, mental wellness resources, subsidized gym memberships, maternity & paternity leave.Culture built on Community, Innovation, Legendary and Teamwork!A Quick Summary About The Data Scientist, Machine LearningThe Data Scientist, Machine Learning will support Basketball Operations …

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🤖 Machine Learning Engineer
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🏢 Company: Pelica Health
📍 Location: San Francisco, CA
🖥 Work Type: 🏢 On-site
Posted: 2026-05-28

📋 About the Role:
About UsPelica Health is the operating system for value-based care. We unify claims, EHR, pharmacy, lab, and ADT data into one live record per member, then put an AI copilot next to every team that depends on it, across risk adjustment, Quality and Stars, pharmacy and Part D, provider network, and care management.Read our founder letter:Why we started Pelica Health.Pelica was founded by former engineering and AI leaders from Google and YouTube, including co-founders who built large-scale infrastructure and machine learning systems. You will work alongside people who built massive systems at scale, a chance to learn a lot and contribute meaningfully from day one. We are backed by Y Combinator.We believe in solving hard problems together as a team, iterating quickly, and building software with long-term thinking and ownership.What You'll DoBuild and own production machine learning systems end-to-end, from data modeling and feature engineering to training, evaluation, deployment, and monitoring.Design and implement data pipelines that turn raw, messy real-world healthcare data into reliable features for machine learning models.Train and evaluate models for ranking, prioritization, …

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