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A Lead Machine Learning Engineer who leads the engineering, deployment, and optimization of Agentic AI systems and machine learning solutions, collaborating with data scientists, data engineers, DevSecOps, and product teams to deliver scalable, production-ready AI capabilities.
Senior Machine Learning Engineer at HelloFresh in Toronto builds and scales AI-driven marketing systems, including predictive models, LLM orchestration, and high-throughput data pipelines using Python, PySpark, and cloud platforms.
Senior/Staff Machine Learning Engineer owning production ML systems and MLOps platform infrastructure for Attain/Klover's B2C fintech products (EWA, fraud, churn, decisioning). Day to day: building feature pipelines, model serving, CI/CD, and observability on GCP + Kubernetes with Terraform, and directing AI coding agents to ship infrastructure code.
An early-career Python developer (1-2 years experience) joins consultancy Twoday as a permanent employee, consulting onsite for a major Danish public-sector customer in Copenhagen. Day to day: building and deploying data-driven solutions with Python, ML frameworks (scikit-learn, PyTorch, TensorFlow), Pandas/NumPy, REST APIs, SQL and Git; Danish fluency is mandatory.
Senior AI Engineer on Addepar's AI Platform team in London, architecting and shipping AI-native products end to end — LLMs, vector DBs, prompt tuning, and agentic frameworks (MCP, tool use) — hardened into scalable production services using Python, Go, gRPC, AWS, and Kubernetes. Requires UK right to work; no visa sponsorship.
An engineering manager role leading the Conversational Experiences team that builds the Gemini-based dialogue engine for Google Home. Day to day: drive technical architecture, combine generative LLMs with deterministic systems to improve conversational quality and latency, and lead and grow the engineering team.
Junior machine learning engineer at AMAI, a bespoke AI consulting firm in Karlsruhe. You support experienced ML engineers on real client projects: training, evaluating and optimizing ML/deep-learning models, cleaning and preparing data, documenting work, and integrating LLMs like ChatGPT. Core stack: TensorFlow, PyTorch, Scikit-learn.
Designs, develops, and deploys scalable AI/ML solutions with a focus on Generative AI, LLMs, deep learning, MLOps, and cloud platforms, delivering production-grade AI products and intelligent automation. Requires 10–15 years of IT experience and cross-team collaboration with data scientists, engineers, and business stakeholders.
Role:- Machine Learning Engineer Location:- Hybrid at Chicago, IL There is an ML model they built to predict their account balances. It is potentially ready to be used for income simulation forecasting that has been…
Staff-level AI/ML software engineer at Google Public Sector who architects large-scale distributed data systems and machine learning pipelines, optimizes inference workloads for specialized hardware accelerators, and mentors cross-functional teams. Core stack spans C++/Java/Python/Kotlin/Go, parallel/HPC computing, PyTorch/TensorFlow, and cloud-native infrastructure.
Stevens, a strategic advisory and technology consulting firm, is hiring an experienced AI/ML Engineer on an hourly contract to join delivery teams serving enterprise clients, building AI solutions that go beyond prototypes.
Senior machine learning engineer at CarOnSale, an AI-powered B2B used-car trading platform in Berlin. You own models after handoff — packaging, deployment, serving, drift detection and monitoring — on one shared ML platform built with Python, SageMaker, Snowflake, CI/CD, AWS and Terraform, working hybrid (3 days office).
Freelance (PJ) senior machine learning engineer, fully remote from Brazil, who owns production ML models end-to-end on CarOnSale's B2B used-car trading platform — packaging, deployment, monitoring, drift detection and inference serving on a shared ML platform built with AWS SageMaker, Terraform, Snowflake and CI/CD promotion lanes.
A Junior+ ML/AI Engineer at an outsourced app-development company in Minsk (office or remote) builds RAG-based systems, integrates LLMs and speech (STT/TTS) models, works with graph databases like Neo4j, and wires ML services into Python backends via REST APIs and tools like n8n, serving telecom-domain product teams.
A Computer Vision Engineer on Trackman's Golf Launch Monitor R&D team designs and maintains real-time 2D/3D vision tracking and calibration systems: evaluating camera sensors and optical setups, diagnosing hardware/software integration issues, validating field data, and hardening production C++/Python code with hardware, firmware and QA teams.
Grupo Prominente is hiring a Machine Learning Engineer in Buenos Aires to transform data, build scalable ML solutions, and turn experiments into production products. Day-to-day work centers on Python, ML libraries, and deploying models via APIs, pipelines, and cloud environments.
Senior ML engineer building drone-detection models that fuse audio, image, and radio signals, then deploying them to edge devices and bare-metal hardware in the field. Works end-to-end from data to production using Python, neural network frameworks (PyTorch/TensorFlow), cloud, containerization, and MLOps.
Remote ML engineer to develop Flowwow's recommendation systems, evolving them from a rule-based baseline to ML models: building training/inference pipelines and running an offline-validation + A/B experiment loop. Core stack: Python, PyTorch/TensorFlow, SQL, Linux/Git/Docker, plus vector DBs, feature stores, and MLOps tooling.
Build and productionize AI agents that analyze client meeting recordings and generate recommendations for client managers: high-load Python/FastAPI microservices, Kafka pipelines, fine-tuning Transformers (RuBERT/TinyBERT), and RAG/LLM agent systems with LangChain/LangGraph, with observability via Prometheus/Grafana and Jaeger.
Hire Resolve is hiring an Associate Data & ML Engineer for Globeleq's energy team in Cape Town. Day to day, you build and maintain data pipelines, transform and prepare data for AI/ML use cases, contribute to single-source-of-truth development, and support production-grade components under senior guidance.
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