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Sales Engineer
Nexus Cognitive Technologies is hiring a Sales Engineer to support enterprise sales for NX1, its AI-native data platform — running demos and rapid POCs, designing modern data architecture solutions for customers, and feeding field learnings back into the product roadmap. The role leans on a modern data stack (Iceberg, Spark, Kafka, Databricks), major clouds, Kubernetes/Terraform, and 8+ years as a
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Global's central Data Science team in Holborn, London, productionising data scientists' models into robust, scalable systems for audience targeting, advertising measurement and content intelligence. Core stack: Python/PyTorch, AWS (SageMaker), Snowflake, Spark/Databricks, Kubernetes, Docker/MLflow.
Senior Machine Learning Engineer
Senior Machine Learning Engineer on Global's Data team, building and scaling production ML for DAX, the company's digital audio and outdoor ad exchange — ad targeting, attribution and identity-graph models. Core stack: Python/PyTorch, Spark, Databricks, AWS, Snowflake and MLflow, with real-time inference systems.
Staff ML Engineer - Databricks
Overview Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come…
Senior Software Engineer (Backend, AI Platform)
Senior backend engineer on inDrive's ML platform team in Almaty: builds and operates Go/Python services, deployment tooling and SDKs that ML teams use to ship models end to end, plus CI/CD, observability and on-call. Stack includes Kubernetes, Terraform/Terragrunt, Databricks, SageMaker, Kafka/gRPC.
Data Scientist
Data Scientist at EverQuote (Cambridge, MA, hybrid 3 days/week in office) building and deploying AI/ML models that power insurance customer acquisition. Work spans predictive modeling, online auction optimization, and reinforcement learning using Python, SQL, Jupyter, Snowflake, SageMaker, and MLFlow.
Stage - Data Scientist - H/F/X - Janvier 2027
Pionnier des ventes événementielles en ligne depuis 2001 et acteur incontournable du e-commerce en Europe, Veepee collabore avec plus de 7 000 marques pour proposer des produits à forte décote, disponibles sur une…
Software Engineer, ML Infrastructure (MDX)
Builds the agentic layer of DoorDash's ML platform — systems where AI agents run modeling experiments and help ML engineers across DoorDash, Wolt, and Deliveroo train, deploy, and debug models. Core work is backend Python and distributed systems plus LLM/agent infrastructure, evaluation, and observability.
Главный MLOps (Платформа ИИ)
Чем предстоит заниматься: Проектирование, развёртывание и развитие инфраструктуры платформы искусственного интеллекта (on‑prem и облако): Kubernetes‑кластеры, GPU‑ноды, storage, сети, безопасность; Построение и…
Software Engineer I - AI and ML
Build and deploy AI/ML models and Generative AI solutions for life and annuities insurance tech, using Python, LLMs, and scalable ML pipelines.
Senior Data Engineer
Senior Data Engineer at a global tech consultancy in Sydney, designing lakehouse architectures on Databricks, optimizing data pipelines, and advising enterprise clients on governance and migration while mentoring teammates. Stack includes Python, PySpark, SQL, Scala, dbt, Spark, Airflow, MLflow, and cloud platforms like Azure, GCP, and AWS.
ML Engineer
WHY NOETIK NOETIK is a frontier therapeutics company harnessing AI to deeply understand human biology and redefine clinical outcomes in oncology. Leveraging the largest proprietary multimodal oncology dataset of its…
Staff Software Engineer
Working Technical Architect at Boon, an AI platform for construction preconstruction. Owns end-to-end architecture across a Rails product monolith, Python computer-vision services, and LLM/agent runtime infrastructure — scaling blueprint pipelines 100x, setting technical direction with leadership, mentoring engineers, and still shipping production code weekly.
Senior MLOps Engineer
As Clariti/CivCheck's first MLOps Engineer, you'll design, build, and scale the ML infrastructure behind their AI-powered plan review platform — end-to-end training, evaluation, and deployment pipelines, GPU model serving on cloud, CI/CD for ML, and production monitoring. Core stack: Python, Docker, Kubernetes, AWS/GCP/Azure, MLflow/Kubeflow.
Staff Machine Learning Engineer
Staff ML Engineer at Scientific Games (lottery/sports betting tech) in Toronto will architect and build the company's first internal ML platform — self-service model deployment, inference, monitoring, and safe-rollout tooling for Data Scientists — using Python, Docker/Kubernetes, and ML lifecycle tooling. Starts remote, transitioning to hybrid; must be local to Toronto.