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This role involves designing, training, and validating machine learning and deep learning models and deploying them into production environments. The position is hybrid, requiring approximately two days of on-site work per month in Barcelona.
Builds and evolves backend services and APIs in Python, integrating AI models (OpenAI, Gemini, etc.) to create agents, automations and workflows for digital products.
Senior AI & Data Scientist builds, deploys, and evaluates ML models end-to-end, from forecasting to LLM fine-tuning, while mentoring junior team members and translating technical results for clients.
Senior AI & Data Scientist who designs, builds, and deploys end-to-end ML models (forecasting, classification, LLM fine-tuning) for enterprise clients, bridging business needs with technical execution.
About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the…
The AI Engineer will develop LLM-powered agents and RAG pipelines to automate workflows and build conversational interfaces for PureFacts' financial SaaS platform. The role focuses on integrating AI models, ensuring system reliability, and collaborating with cross-functional teams to deliver production-ready AI copilots.
The Solutions Architect designs and delivers technical foundations for AI-enabled products within the Kroger Precision Marketing portfolio. This role involves defining architecture patterns, building prototypes, and collaborating with cross-functional teams to scale data and API solutions.
Build and deploy AI models that monitor vehicle health in real time using logs, traces, and sensor data, then optimize them to run on resource-constrained edge devices.
The Senior AI Engineer will design and build agentic AI systems and LLM-driven workflows for financial products. The role requires strong Python skills and experience with knowledge graphs and AI orchestration frameworks.
Salary: £50,000 - 60,000 per year Requirements: Strong commercial software engineering experience, ideally within the Microsoft technology stack. Good development experience with C#/.NET and modern software engineering…
Salary: £80,000 - 90,000 per year Requirements: Commercial experience building AI applications using LLMs and modern AI frameworks. Strong hands-on experience with OpenAI, Anthropic/Claude or similar foundation models.…
Salary: £35,000 - 40,000 per year Requirements: JavaScript and Vue.js - comfortable building and maintaining component-based UIs Python - FastAPI or similar, writing Lambda endpoints PostgreSQL - confident writing…
We’re the global gifting platform for companies that care. Our platform sends gifts globally at scale, while our team guides the process with taste, thought and attention to detail. As a B Corp-certified company ,…
Exciting Opportunity for an Experienced Principal AI Data Engineer to help build and scale GenAI and agentic AI solutions as part of a new project for a Leading Energy Company. Responsibilities: Build and evaluate…
The AI Engineer will identify and implement AI solutions, focusing on Generative AI, LLMs, and AI agents to deliver business value. The role involves managing the full lifecycle of AI projects from concept to production within a cloud-based architecture.
Optimizes and scales cloud-based ML training/inference infrastructure, automates pipelines, and ensures model reproducibility for Pathway’s post-transformer AI models.
Darauf richtest Du Deinen Fokus: Agentic Workplace Sales: Du positionierst moderne agentische Workplace-Lösungen wie Gemini Enterprise und vergleichbare AI-Produktivitätsplattformen bei Kund in EMEA North und agierst…
Build end-to-end features across frontend, backend, and AI/LLM components for internal tools, automation, and data-driven products at the world’s largest crypto exchange.
DEPT® is a Growth Invention company. We help the world's most ambitious brands grow by bringing together technology, AI, creativity and data to invent what's next. With more than 4,000 specialists across 30+…
Design and industrialize enterprise AI solutions—cloud architectures, GenAI/RAG platforms, observability, and governance—across Azure/AWS/GCP, with hands-on technical leadership of multidisciplinary teams.
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