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A senior AI/ML engineer at WHO's Information Technology Unit in Turkey leads hands-on AI initiatives end to end, from data acquisition to deployment, builds internal and external applications, sets technical direction, drives data integration, and mentors a team of AI and software professionals.
Lead a team building and maintaining AI/ML platforms and infrastructure for JPMorgan Chase’s consumer banking systems using Python, TensorFlow/PyTorch, and cloud ML tools.
Part-time software development student role on Amazon's MLIL firmware team in Tel Aviv, developing, testing, and debugging low-level firmware for ML accelerator servers built on Annapurna Labs custom silicon. The student works with real hardware in the lab alongside mentors from firmware, hardware, and platform teams.
Design and ship generative-AI and machine-learning systems for Amazon's Sponsored Products advertising platform: architecting scalable multi-modal/LLM solutions, prototyping experiments, and driving them from idea to production at global scale.
Lead machine learning engineer on Target's merchandising AI team, designing, building, and optimizing production ML systems and ML Ops pipelines (Python, Vertex AI, Docker/Kubernetes, Spark/Kafka) that power merchandising decisions, while mentoring engineers and collaborating with data scientists and product managers. Remote or hybrid arrangement possible.
Triangle Cyber is hiring a Cybersecurity Solutions Architect/Engineer to build expert-level AI/ML analytics on Databricks that detect cybersecurity threats and fraud for a U.S. federal client. Day to day they architect secure AI solutions (LLMs, computer vision, MLOps), lead data science/engineering teams, and manage multi-engagement delivery using Python, SQL, Tableau, and AWS.
Senior ML Engineer owning the full machine learning stack for Anduril's Counter Intrusion (Sentry Tower) perimeter-security team: designing, training, and deploying multi-sensor object detection and perception models on edge devices, with core work in C++, Python, PyTorch, and deployment via TensorRT/ONNX.
Senior Associate AI/ML Engineer joining J.P. Morgan's Asset and Wealth Management AI Engineering team, building next-generation AI applications and platforms for financial services in a startup-style environment. The role is a hands-on AI engineering lead position.
Nexxa.ai is hiring a Staff DevOps Engineer in Canada to own and operate the infrastructure powering its AI and industrial systems at scale — compute, networking, storage, and deployment for production ML workloads. Core tech: CI/CD pipelines, IaC with Terraform/Pulumi, and Kubernetes with GPU scheduling.
Founding-team ML engineer at an early-stage AI data and services company, building and scaling core machine learning systems end to end — from data pipelines to training and inference infrastructure — including fine-tuning LLMs and generative models for frontier AI labs and enterprises. Core stack: Python, PyTorch/TensorFlow/JAX, cloud ML platforms, and MLOps tooling.
Williams Lea, a global provider of tech-enabled business and marketing services, is hiring a Senior ML Engineer to build and deliver machine learning solutions that help transform client processes. The full-time role is hybrid/remote within the UK, paying £70,000–£80,000 per year plus benefits.
Senior AI Engineer on Addepar's AI Platform team in London architects and ships end-to-end AI-native products — LLMs, vector databases, and agentic frameworks — hardened into scalable production services for the wealth management platform. Requires strong backend skills (Python, Go, gRPC, AWS, Kubernetes) and UK right to work.
Junior/intern-level remote ML Engineer position at Sailet. The listing is a brief Telegram roundup entry that only states the title, company, and that the role is remote — no duties, stack, or requirements are described.
Machine learning engineer at a leading quantitative market maker/hedge fund in London, building and scaling the ML and AI systems and infrastructure behind trading across multiple asset classes. Involves heavy engineering around enormous daily datasets; open to all experience levels.
Temporary research engineer post at University College Dublin's ConnectedPolitics Lab (RINN AI UCD) working on the EURVISTA platform: optimising retrieval, evaluating language models, maintaining data pipelines, and prototyping statistical models with senior developers to improve platform accuracy and trust.
A 12-month research engineer post at University College Dublin's School of Politics and International Relations: lead retrieval, evaluation and ML research for the EURVISTA legislative-data platform — optimising RAG architecture, benchmarking LLM answer accuracy above 90%, and running daily ETL pipelines from EU institution sources using Python, PyTorch, Hugging Face, LangChain, PostgreSQL and Ope
Builds simulation environments, frameworks, and tools for a deep-tech company developing next-generation computing hardware/software that accelerates AI, cryptography, and HPC workloads. Day to day is Python and/or C++ development with event-driven simulation (SimPy) and SoC/memory architecture work; Rust and CI/CD experience are pluses.
Senior individual contributor on the Data team designing, building, and operating production ML systems for personalization, recommendations, decisioning, and experimentation at Kard, a commerce media network linking financial institutions and merchants. Work spans the full ML lifecycle using Python, Spark/Databricks, MLflow, and AWS/Kubernetes tooling.
ML Engineer role in Almaty focused on machine learning work involving computer vision and data science, integrating solutions via APIs and cloud services. Salary starts from 500,000 KZT per month.
Senior ML engineer builds and refines AI agents and RAG systems for internal document search at a large Russian company, focusing on prompt engineering, quality metrics, and production safeguards.
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