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Senior Data Scientist
Senior Data Scientist on Zilch's UK Risk team, building and deploying production-grade credit risk, collections and fraud models end to end — from exploration and A/B testing to monitoring. Core stack: SQL, Python (NumPy, Pandas, Scikit-Learn), SageMaker, Git, GitHub Actions, dbt and Looker.
AI/ML Engineer I
AI/ML Engineer I building and deploying NLP/language models across the full lifecycle — training, fine-tuning, evaluation, and deployment on AWS (SageMaker) — plus full-stack integration of model-based applications. Requires applied ML experience and strong Java, C, C++, and Python skills.
Senior Machine Learning Engineer
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Principal Machine Learning Solutions Architect
Lead end-to-end AI/ML architecture and deployment for enterprise clients, designing scalable, secure solutions and mentoring teams to deliver measurable business impact.
Sr. Machine Learning Engineer
Design, build, and operationalize production AI/ML systems for enterprise clients, translating architectures into clean Python and SQL code, integrating with cloud data platforms and APIs, and contributing to reusable accelerators and engineering standards.
Machine Learning solutions Architect
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Sr. Machine Learning Engineer
Build and deploy production-grade agentic AI solutions like RAG pipelines and multi-agent workflows for enterprise clients, integrating with systems like CRM and ERP using Python and cloud-native AI platforms.
Senior Solutions Architect
Senior Solutions Architect designs, operates, and optimizes cloud-native data platforms (Snowflake, Redshift) for enterprise clients, ensuring performance, security, and scalability while collaborating with cross-functional teams.
Applied AI Solution Architect
Design and implement production-grade agentic AI systems (LLM-powered agents, RAG, multi-agent patterns) for enterprise clients, ensuring reliability, security, and measurable business outcomes.
Applied AI Solutions Architect
The Applied AI Solutions Architect leads the design and implementation of production-ready agentic AI solutions for enterprise clients. The role involves building reusable AI accelerators, establishing technical standards, and collaborating with cross-functional teams to deliver high-impact AI/ML projects.
Solutions Architect (Managed Services)
Designs and leads large-scale cloud data platforms for enterprises using Snowflake, AWS, and Azure, while mentoring teams and optimizing data workflows.
Ingeniero de Datos
No solo buscamos talento, buscamos mentes curiosas que disfruten aprender y transformar el futuro. Somos tech, somos exigentes y sí, vamos rápido. Pero nadie compite solo. Trabajamos en equipo y si buscas retos que te…
Machine Learning/Deep Learning/NLP/ ML Deployment Instructor
Machine Learning / Deep Learning / Natural Language Processing /Machine Learning Deployment Instructor & Mentor (On-site/Remote) Job Title : Instructor & Mentor Employment Type : Both On-site and Remote Location :…


Senior Data Scientist
Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service…
Data Scientist – Machine Learning
Utveckla och produktionssätt datadrivna lösningar för komplexa affärsutmaningar i en tvärfunktionell och agil miljö.Vill du använda data, statistik och maskininlärning för att lösa komplexa affärsutmaningar? Här får du…
Enterprise Architect, AWS Practice
Designs and governs AWS-based enterprise architectures for large clients, aligning technical solutions with business goals while managing security, compliance, and client relationships.
Enterprise Architect, AWS Practice
Enterprise Architect designs and governs AWS-based solutions for large clients, aligning technical strategy with business goals while managing security, compliance, and client relationships.