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BizAway ищет ML‑инженера для разработки и внедрения ML‑продуктов, улучшающих ценностное предложение компании и бизнес‑показатели. Recuerde revisar su CV antes de enviar la solicitud. Además, asegúrese de leer todos los…
Machine Learning Developer in Kela's Algorithms Department researches and builds computer-vision and deep-learning models that turn raw sensor data into real-time battlefield intelligence for defense customers. Day to day: developing and optimizing detection, classification and segmentation pipelines in Python, NumPy and PyTorch.
Designs, builds, and deploys enterprise-grade Generative AI and Agentic AI solutions using LangChain, LangGraph, RAG architectures, and LLM frameworks, with observability via LangSmith. Also applies classical ML and MLOps practices on cloud platforms such as AWS, Azure, and Databricks.
Machine Learning Engineer in MARGO's Paris-based AI practice, a consulting firm serving finance, industry and energy clients. Day to day, the role industrializes ML models into production: building FastAPI/Flask APIs, Docker/Kubernetes deployment, MLOps pipelines (MLflow, Kubeflow, Airflow), drift monitoring and performance optimization.
Machine Learning/Data Engineer at AllCloud (Bucharest) who designs, builds, and operates AI/ML solutions on AWS for customers — creating ETL pipelines and data lakes, optimizing cloud databases, and deploying ML models using tools like Spark, Kafka, Python, SQL, and AWS AI/ML services.
Contract ML/NLP engineer at RavenPack (big data analytics for finance) who designs, trains, and deploys state-of-the-art NLP and transformer models into a large-scale, low-latency detection pipeline. Day to day: building hybrid ML architectures, evaluation frameworks, continuous-learning loops, and MLOps for production inference.
Develops and deploys machine learning applications that analyze operating-room video and sensor data to improve surgical workflows, working across the full ML lifecycle from data processing and training to deployment. Core stack: Python, classic computer vision plus modern ML, with cloud tooling (ideally AWS) a plus.
Staff Machine Learning Engineer/Data Scientist at ZipRecruiter, serving as a technical anchor for ML across a two-sided jobs marketplace: designing recommendation, matching, and ranking systems, mentoring engineers, and shipping low-latency production models. Core tech includes PyTorch/TensorFlow, recommendation architectures, A/B testing, and distributed training.
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.
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