13,767 Machine Learning jobs
Machine learning roles training and shipping ML models to production.
AI/ML Specialist
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow…
Machine Learning Engineer
Grow your career with us Here at Averis, our common purpose is to improve lives by developing resources sustainably. Our people are crucial in helping us to realise our vision to be one of the best Global Business…
Senior ML Engineer
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time…
AI/ML Engineer
Builds AI/ML models for construction site video data to extract actionable insights; works with VLMs, LLMs, and RAG to solve site challenges.
Staff Machine Learning Engineer
At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the…
AI/ML Software Engineer
Develops real-time computer vision and AI algorithms for Apple products, integrating ML models into large-scale systems to power features like digital humans and health intelligence.
Physical Design Engineer, Machine Learning
Come help us design the next generation of revolutionary Apple products. We are looking for an engineer who combines deep physical design expertise with hands-on machine learning skills. In this role, you will work on…
Senior Integration Engineer, Data/ML Engineer, Product Lead
Odette Technologies | Senior Integration Engineer, Data/ML Engineer, Product Lead | HYBRID (NC) / REMOTE | Full-time | US citizens, clearable, East Coast-based | https://odettetechnologies.com We're building an…
Senior Machine Learning Engineer - Growth & Personalisation
Builds ranking, personalisation, and recommendation models in Python for Deliveroo's New Verticals team — deciding what grocery/retail content users see on landing pages and the homepage, and targeting notifications to turn restaurant-only users into grocery and retail customers. Hybrid role, 3 days a week in the London office.
Senior Machine Learning Engineer - Recommendations
Senior Machine Learning Engineer in Deliveroo's London office (hybrid, 3 days on-site) building recommendation, ranking and retrieval models that help customers discover restaurants, dishes and content on the food-delivery marketplace. Core stack includes Python, modern ML frameworks and large-scale data processing, with end-to-end ownership from framing to experiments and production monitoring.
Machine Learning Engineer II - Growth & Personalisation
Build and improve machine learning models for Deliveroo's New Verticals (grocery/retail): ranking items on vertical landing pages, blending new-vertical content into the restaurant-first homepage, personalising recommendations, and targeting notifications. Core stack is Python with end-to-end model productionisation; hybrid role based in London (3 days in office).
Senior Software Engineer, AI/ML GenAI, Core
Software engineer on Google's Core team building the technical foundation behind Google's products, focused on designing and shipping GenAI solutions on top of ML infrastructure. Day to day: write and test production code (Python or C++), run design/code reviews, and debug large-scale systems using LLM, multi-modal and vision techniques.
Staff Software Engineer, AI/ML, Google Cloud
Staff software engineer on Google's AI and Infrastructure team, designing, deploying, and leading large-scale ML systems and infrastructure for Google Cloud (e.g., TPUs, Vertex AI), while providing technical leadership and coaching across distributed teams.
Staff Machine Learning Engineer - Matching, Apple Ads
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our…
Senior Machine Learning Engineer / Applied Scientist
Overview We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong machine learning and…
Staff Applied ML Engineer, Federal/National Security
Staff Applied ML Engineer at Red Cell Federal building and deploying production LLM applications, AI agents, eval/fine-tuning pipelines, RAG, and inference systems for federal and national security missions. Requires U.S. citizenship with an active Secret or Top-Secret clearance; remote in the USA with Washington DC/Northern Virginia preferred.
ML Engineer, Retrieval & Grounded Generation
Builds retrieval-augmented generation infrastructure for DEFCON AI's government-cloud platform: embeddings and vector retrieval at scale, LLM integration with cited, grounded outputs, prompt/schema design, model packaging/serving/rollback, and telemetry. Python-centric; US citizenship and an active Secret clearance are required.
Machine Learning Systems Engineer – Visual Data
Hands-on ML systems engineer who owns ML infrastructure end to end for large multimodal visual datasets — building data platforms and video-indexing pipelines (LanceDB, DataFusion, Parquet/Iceberg), optimizing PyTorch/Ray training and Triton inference, and managing model lifecycle to production in a media-focused environment.
Machine Learning Engineer
Joins Apple's All-Scale Modeling team to build end-to-end ML systems for physics modeling in hardware development, optimize compute kernels, and design agentic systems. Core stack is Python and C++, with CUDA/Metal and physics/numerical methods background preferred.
Senior ML Engineer, Agentic AI
Technical lead for the agentic AI roadmap at a healthcare AI company: designing multi-step reasoning agent architectures, LLM evaluation/benchmarking frameworks, and fine-tuning data pipelines, translating LLM research into low-latency clinical applications. Core stack is Python with PyTorch/JAX/TensorFlow and LLM post-training techniques.