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An instructor/mentor delivers a 13-week training program in Riyadh (on-site or remote) covering Machine Learning, Deep Learning, NLP, Generative AI, and model deployment with Streamlit and AWS SageMaker — about 20 hours per week of lectures, hands-on labs, and student mentoring using Python ML tooling.
Senior Full Stack Developer builds cloud-native data analysis tools using TypeScript, Node.js, Angular, and Jupyter notebooks for biomedical research clients like NIH.
Python Developer £65,000 - £70,000 per annum London Hybrid 6 month FTC As our Python Developer (Data Products), youll turn data and insight into intuitive, scalable applications that help our people make better,…
Mandai Wildlife Group is the steward of Mandai Wildlife Reserve, a unique wildlife and nature destination in Singapore that is home to world-renown wildlife parks which connect visitors to the fascinating world of…
At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we’re looking for a Forward Deployed Data Engineer IV to help shape how that impact shows up in the world. E Source is a…
About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national…
Builds and maintains scalable data pipelines, ETL processes, and dashboards for publishing companies (e.g., Droemer Knaur, Rowohlt) using Python, SQL, BigQuery, Kubernetes, and cloud platforms (Azure/Google Cloud).
About Zego 🚀 At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time,…
The Principal Solutions Consultant acts as a bridge between sales and technical delivery, using AI and data expertise to shape business problems into quantified value propositions for enterprise clients. The role involves leading discovery sessions, building AI-powered prototypes, and collaborating with leadership to drive strategic deal conversion.
Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between…
Job Title Senior DevOps Engineer Job Description The Role Following extensive global expansion over several years and a drive to standardise common systems and platforms globally, PL Re is undertaking a major…
At Ecolab, you can help take on some of the world’s most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy…
About Us Dyson is a global technology company with a simple mission: solve problems others ignore. We pioneer radically better technologies across categories — from intelligent vacuums and haircare to connected…
About the Job: We are looking for a Data Analyst to revolutionize how we measure and scale our Partner Ecosystem & Services Business.. In this role, you won't just build dashboards; you will build intelligent…
Line of Service Advisory Industry/Sector Not Applicable Specialism Emerging Technologies Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on…
We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18.000 colleagues now and…
At Vantage Bank, we're driven by a deep commitment to supporting our customers, valuing our employees, embracing diversity, fostering meaningful connections, and providing outstanding service every step of the way.…
Job Description We are seeking a Lead AI Engineer to own the end-to-end technical delivery of an enterprise data and AI platform. This is a hands-on leadership role, onshore and client-facing, responsible for the…
A forward-deployed AI/ML engineer who embeds with utility clients to own engagements end to end — discovery, architecture, build, deployment, and adoption — shipping generative AI and ML systems into production client environments. Core stack: Python plus TypeScript/Scala/Java, LLM/RAG and LLMOps tooling, Databricks, and cloud platforms (AWS preferred), with 30–50% travel to client sites.
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