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Leads a team of ML/Ops engineers deploying and managing machine learning models into pipelines, using Python for automation and Azure/GCP cloud platforms to optimize ML workflows, on a project for a Hong Kong-based client. Remote work setup.
Work Location: New York, New York, United States of America Hours: 40 Pay Details: $96,130 - $155,950 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth…
Photon is hiring an Enterprise Architect for AI/ML (New York) to define enterprise-wide architecture strategy for AI, ML, Generative AI, and LLMs — setting standards, reference architectures, MLOps/LLMOps practices, and AI governance while partnering with business, data, security, and engineering teams.
Tech lead who owns the AI/ML roadmap and architecture for a Defensive Cyberspace Operations platform processing petabyte-scale cyber-defense data — architecting real-time ML pipelines, evaluating agentic frameworks and vendor products, and driving AI security/ATO governance. Core stack: Python/Scala/Java, ML/LLMOps, SIEM/SOAR, distributed computing.
Marlabs, a global AI and digital solutions consulting firm, is hiring a Lead AI/ML Engineer (remote, US) to design, build, and scale enterprise AI systems — including RAG, model serving, vector search, evaluation frameworks, and AI governance — primarily using Python and modern LLM tooling.
Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and…
Hands-on AI/ML engineering lead at Protective Life who owns the path from ML/GenAI experimentation to governed production on Azure Databricks. Day to day: setting MLOps standards with MLflow, building RAG/LLM systems, mentoring ML and data engineers, and ensuring model reliability, monitoring, fairness, and regulatory compliance.
Lead the ML team building workforce-management systems at Monzo: demand forecasting, real-time routing, and predictive models to match support supply with customer demand.
Lead the development of ML models for Monzo’s search and recommendation systems, using Python, scikit-learn, and Go to personalize financial product discovery for 15M+ users.
Lead the design and deployment of advanced ML models to detect and prevent financial crime at Monzo, using Python, SQL, and Go in a cloud-native environment.
Lead the design and deployment of ML models (LLMs, RAG, sequence-based) to automate and improve customer operations at a fast-growing digital bank, working closely with cross-functional teams.
Lead the design and deployment of ML models (including GenAI) that power smarter, simpler business-banking features for SMEs, working closely with product and engineering teams.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Are you looking for an exciting opportunity to solve exciting business problems? Our Technology…
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION You'll build and ship agents that real businesses depend on, not demos. Platform already runs a…
Technical Lead, ML at an AI-native product company (a DNA325 client) rebuilding email, notes, and task tools. Owns end-to-end production ML: data pipelines, fine-tuning (LoRA, QLoRA, SFT, DPO, distillation), evaluation, and GPU-based inference deployment. Core stack: Python, PyTorch/JAX, GPU training and inference systems.
Tech-lead hire who will stand up a new Robot Learning team at Path Robotics building whole-body loco-manipulation ML for precision heavy-manufacturing robots: set ML/architecture direction (action-policy learning, world-model supervision), ship sim-to-real policies, mentor engineers, and stay hands-on coding in Python/C++.
Builds and runs Model Context Protocol (MCP) infrastructure for a US software client's agentic AI systems, with a strong DevOps lean: owning AWS deployments, CI/CD pipelines, and observability for LLM apps built on LangChain, LangSmith, and LangGraph, in a small fully remote Latin America team working US Eastern hours.
Entry-level Machine Learning Engineer on the Misdirected Email Detection team at Abnormal AI, building end-to-end ML detection for outbound email security in Singapore. Day-to-day work spans data wrangling, feature engineering, model training/evaluation, A/B testing, production deployment, monitoring, and on-call for detection efficacy.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
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