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Design, build, and deploy machine learning models using Python and frameworks like TensorFlow or PyTorch, handling data preprocessing, training, monitoring, and collaborating with product and data teams.
Builds and deploys deep-learning models for self-driving cars, focusing on scene understanding, behavior prediction, and motion planning using PyTorch and large datasets.
Principal-level ML engineer at Apptronik who owns the end-to-end learned manipulation pipeline for the Apollo humanoid robot — from data engine design and simulation prototyping to training and on-robot deployment. Core stack: Python, C++, PyTorch, deep learning (CNNs, transformers, VLAs), computer vision, and simulators like IsaacSim/MuJoCo.
Owns radar/ML stack: simulates radar/SAR data, builds ML pipelines (PyTorch/NumPy), and deploys models on GPU infrastructure for defense applications.
Senior ML Engineer building models and data-driven systems to classify, label, and enrich vast Internet telemetry data, using Python/Go on distributed scanning infrastructure.
Contract-to-hire Senior Machine Learning Engineer II building production-scale Agentic AI and multi-agent systems with LLMs, RAG architectures, vector search, and Python, including evaluation, observability, and guardrails. Fully remote role placed by TEKsystems, based out of Raleigh, NC.
Technical Program Manager at Google's Infrastructure Supply Chain and Manufacturing Product Operations team in Bengaluru, leading AI-first automation of product operations for Google Cloud hardware. Day to day involves analyzing manufacturing data, building real-time metric dashboards and alerting, and automating workflows using SQL (F1-SQL), AI/ML, Python, and visualization tools.
Senior ML Engineer builds and operates production AI systems for Ocado’s ecommerce personalization, ranking, and recommendation features using Python, GCP/Vertex AI, and BigQuery.
Senior Machine Learning Engineer / MLOps role at Stone, Brazil's largest independent payments company, building and scaling ML systems and pipelines for financial services using Databricks, PySpark, Kafka, and CI/CD practices.
The Senior Site Reliability Engineer will own reliability, observability, and automation for a large‑scale, GPU‑powered AI/ML platform, managing Kubernetes clusters, monitoring stacks, and infrastructure‑as‑code.
Är du en erfaren AI/ML-utvecklare som vill utveckla och produktionssätta lösningar som gör skillnad på riktigt? Då kan du vara en bra match för oss på Softhouse! Vad vi kommer att göra tillsammans 🧑💻 Som…
At Syngenta, we are building the most collaborative and trusted team in agriculture to provide leading seeds innovations that enhance the prosperity of farmers worldwide. Our Data Science and Engineering team in…
Develop end‑to‑end computer vision and deep‑learning solutions for counter‑drone systems, handling detection, classification, tracking, dataset creation, and real‑time model optimization using Python, PyTorch/TensorFlow, C++, and GPU acceleration.
GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer who will be responsible for designing, developing, integrating, and deploying AI…
Lead development of AI agents and multi‑agent systems using large language models, overseeing the full product lifecycle from hypothesis testing to production deployment, working with Python, PyTorch, LangChain/LangGraph, and collaborating with business and IT teams.
The ML/AI Engineer will design, train, and productionize machine‑learning and LLM‑based models, build MLOps pipelines, and integrate AI agents into trading systems, using Python, PyTorch/TensorFlow, GCP/Azure services (Vertex AI, BigQuery ML, Azure ML), Docker/Kubernetes, and related tools.
Booz Allen Hamilton is hiring an AI & ML Engineer in McLean, VA, to support Army missions with cutting-edge AI technologies. Day to day, the engineer applies machine learning and statistical analysis to massive datasets to build customer-focused solutions for the Army enterprise.
AI/ML Engineer (initial 6-month contract, hybrid) supporting a public sector organisation's AI Accelerator programme. Day to day involves building and deploying ML and generative AI solutions using Python, Azure, LLMs/RAG and MLOps practices like CI/CD and model monitoring.
Temporary research engineer post in UCD's Connected_Politics Lab: leads retrieval optimisation and language-model evaluation for the EURVISTA platform (embedding evaluation, >90% accuracy benchmarking, confidence calibration, hallucination mitigation) and builds predictive models plus automated ingestion pipelines over EU legislative data.
The Senior Machine Learning Engineer will design, prototype, and deploy production-ready AI/ML solutions for National Security and Defence challenges. The role involves working onsite with clients, leading technical scoping, and mentoring junior engineers using Python and modern MLOps infrastructure.
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