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Build and deploy AI/ML models and GenAI applications, including sentiment analysis and agentic AI, using Python, SQL, and cloud platforms like AWS SageMaker.
Build and deploy AI/ML models and APIs to power customer-facing services, including sentiment analysis and agentic AI, using Python, SQL, and cloud platforms like AWS/GCP.
Build and optimize deep-learning inference pipelines for LLMs on AWS’s custom Inferentia/Trainium chips, integrating PyTorch/JAX with the Neuron SDK to maximize throughput and latency.
Build and deploy scalable, secure machine learning systems and recommender engines using Python, PyTorch, and AWS SageMaker to power Thomson Reuters’ AI-driven products.
Design, train, and deploy cutting-edge ML and computer-vision models for identity verification, using PyTorch and modern architectures like CNNs and transformers to improve document and biometric KYC systems.
Job Description Summary: We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this…
Designs and trains ML/SLMs to probe and harden AI systems against adversarial attacks like jailbreaks, prompt injection, and data poisoning, then translates findings into actionable remediation steps.
Develops machine learning and signal/image processing algorithms for display technologies (e.g., color calibration, True Tone, Auto Brightness) to enhance Apple’s hardware user experience.
Build and deploy production ML models for climate-tech solutions, owning the full pipeline from problem framing to deployment and monitoring.
Develops advanced AI/ML models for early cancer detection using blood-based molecular signals, collaborating with biologists and engineers in a hybrid Brisbane, CA role.
Senior MLOps engineer leading the deployment, monitoring, and reliability of ML models in production at a large UK insurer.
*Note: this is contract position through the end of 2026, with possibility of extension. Candidates based in San Diego are preferred. Remote candidates will also be considered based on qualifications.* Job Summary: As…
Build and improve generative AI models for image creation, working with deep learning and production ML pipelines to enhance Recraft’s creative tools.
Build and ship ML-based features for Apple, focusing on training pipelines, inference infrastructure, and on-device model optimization for foundation models and multimodal systems.
Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance…
Build and deploy ML models and MLOps pipelines using Python, TensorFlow, and GCP Vertex AI, containerized with Docker and orchestrated via Kubernetes.
About the Role: Reporting to the Director of Data & AI Engineering, the AI/ML Engineer is a mid-level, hands-on technical role responsible for building and maintaining the data pipelines, AI models, and intelligent…
Build and deploy GenAI applications using LLMs, RAG, and agentic frameworks like LangChain and AWS Bedrock, focusing on secure deployment and scalable GenAI Ops.
Build and optimize next-gen ML models in C++/Python with CUDA and PyTorch for real-world AI applications.
Senior ML Engineer builds and optimizes hardware-accelerated models for simulation, leveraging GPUs/QPUs to speed up training and inference in a fast-growing electronics firm.
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