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Designs and maintains a secure analytics platform for Defence data using Python, Kubernetes, Docker, and CI/CD pipelines.
Lead DevOps/SRE engineer building CI/CD, observability, and reliability for AI/ML services at a global bank.
Build and operate cloud/IoT platforms, automate deployments, and manage data flows from devices to the cloud in a hybrid role.
Senior Data Engineer builds scalable cloud data pipelines and AI-ready datasets for esports and gaming ecosystems using Python, SQL, BigQuery, and dbt.
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
Architect and lead Faire’s ML platform, setting standards for MLOps, feature management, and scalable ML workflows using Databricks, Spark, and MLflow to empower data scientists and retailers.
Build and deploy ML systems to predict customer growth and retention, partnering with engineering and product teams using MLOps to drive revenue strategy.
Overview VTG is seeking a highly experienced and innovative AI Architect to lead the design, development, evaluation, and deployment of advanced artificial intelligence solutions in support of mission-critical and…
Overview Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT)Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support…
Quando você pensa em carreira, o que vem à sua mente? Propósito? Colaboração? Ser protagonista para fazer a diferença? No PagBank temos tudo isso e muito mais. 💛 Estamos em busca de pessoas que vistam a camisa com…
Build and deploy enterprise AI solutions, including Generative and Agentic AI, using Python, cloud platforms, and modern AI frameworks while collaborating with consultants and clients.
Lead a team to build and optimize cloud-native data platforms, pipelines, and MLOps workflows for a large Philippine bank, ensuring scalability, security, and compliance.
Design and maintain cloud-native data platforms (Databricks, dbt, Kafka) for banking analytics and ML, using DataOps/MLOps practices to ensure secure, scalable pipelines.
Build and automate ML pipelines, deploy models to production, and manage cloud infrastructure using DevOps tools like Docker, Kubernetes, and CI/CD.
Build and deploy ML models that personalize content recommendations across Globo’s digital products using Python, TensorFlow/PyTorch, and cloud pipelines.
Leads a data science team to build AI-driven customer personalization and analytics for a UK retail brand, translating data into actionable insights for marketing and commercial strategy.
Location: Wokingham - Office based (hybrid working with 3+ days per week onsite may be considered) Start Day: ASAP Contract Rate: 460 per day inside IR35 Duration: 6 months initially Role Overview Our client is seeking…
Lead software engineering for cloud-native data, backend, and AI/ML systems at JPMorgan, building scalable production solutions in Python and AWS.
Designs and maintains scalable MLOps infrastructure and cloud-native data pipelines on AWS and GCP to productionize ML models with strong observability and governance.
Job Title: MLOps Platform Developer Location: London Salary: Depending on experience Job Type: Full time, Permanent This is a rare opportunity to be first in the door to continue the development of our engineering…
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