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The Senior AI/ML Engineer will develop and fine-tune vision language models to detect and measure property damage from imagery for insurance claims. The role involves building robust data pipelines, establishing evaluation frameworks, and ensuring privacy compliance while working with AWS infrastructure.
Build physics-based performance models and optimisation tools in Python for a UK AI startup in regulated sectors.
The Assistant General Counsel will advise on AI-related legal risks, develop regulatory frameworks, and support data governance and model risk assessments for AI products. This role involves bridging the gap between complex regulatory guidance and technical product development teams.
The Senior Product Counsel will advise product teams on legal risks related to AI, including data governance, intellectual property, and regulatory compliance. This role involves designing responsible AI frameworks and representing the company's interests with regulators.
The Associate General Counsel will serve as the primary legal advisor for Abridge's AI and machine learning product teams. The role involves managing legal risks related to AI model development, data governance, and emerging AI regulations within the healthcare sector.
Abridge is seeking a Senior Product Counsel to serve as the primary legal advisor for teams developing AI and machine learning products in the healthcare space. The role involves identifying AI-specific legal risks, designing frameworks for responsible AI development, and navigating evolving regulations for ambient clinical documentation and multimodal healthcare experiences.
The Machine Learning / Federated-Learning Engineer will design and implement distributed model training and adaptation workflows for federal government projects. The role involves building ML pipelines, fine-tuning models, and integrating AI solutions within secure, controlled environments using Python and frameworks like PyTorch or TensorFlow.
Master's thesis applying sequence-to-sequence deep learning to multivariate time series data from motorcycle test rides to predict riding states for future assistance systems, using Python, PyTorch, and XAI methods.
Own AI/ML systems that underwrite real-time rent payments, classify messy SMB transaction data with LLMs, and power an AI CFO for tenants and landlords.
The Azure Practice Architect II leads enterprise-level cloud and AI initiatives, designing scalable Azure infrastructure and integrating AI/ML solutions into DevOps pipelines. This remote role involves 80% delivery support and 20% sales engineering, requiring deep expertise in Azure services, MLOps, and client-facing consulting.
Build and scale large-scale ML infrastructure for Reddit’s recommendation systems, designing models, training pipelines, and low-latency serving to improve personalization across the platform.
On-site Applied ML Scientist at Eli Health developing and improving ML, signal processing, and statistical models on noisy hormone-monitoring data, then investigating production performance and failures—primarily using Python.
The Senior Computer Vision Engineer will design and optimize real-time detection and tracking algorithms using C++ and Python for edge AI systems. The role involves deploying models to production environments and collaborating with engineering teams to solve complex perception challenges.
Design and build AI-driven solutions for complex financial data problems, from model selection to system integration, using scalable architectures and strong engineering principles.
Build and improve production ML components across data pipelines, training, evaluation, and inference using Python, PyTorch/JAX on GPUs.
Lead a team building scalable, high-performance admin interfaces and services for Adobe’s enterprise platforms using React, Node.js, and cloud infrastructure, while driving engineering standards and mentoring engineers.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
Develops AI/ML-driven cheminformatics tools to accelerate drug discovery by designing predictive models, optimizing workflows, and integrating agentic AI for molecular design and analysis.
This role leads a data science team at JPMorgan Chase to develop and deploy machine learning and AI solutions for consumer banking. The position requires hands-on technical leadership, stakeholder management, and expertise in big data technologies and statistical modeling.
This role is a hands-on product leadership position responsible for the AI/ML roadmap of the Operator Suite, a B2B platform for venue parking management. The candidate will define product strategy while acting as an individual contributor to prototype and evaluate predictive models, dynamic pricing, and LLM-based applications.
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