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Minimum 1 year experience working as a learning designer or digital learning content creator, ideally within the following sectors: further education, higher education, international development, public sector, charities, NGO.
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Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative.
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
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Are you a seasoned Machine Learning Engineer with a background in software development and a history of crafting production-level applications? Our Machine Learning department is expanding, and we’re in search of a Machine Learning Engineer with a solid track record in the creation and implementation of Machine Learning workflows.
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Proficiency in e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate) and learning management systems (LMS). You will report directly to the Learning and Development Manager and work closely with subject matter experts, trainers, and other stakeholders to create engaging, effective, and innovative learning materials.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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The Learning & Development Specialist will support all learning and development activities and provide operational support for the Learning & Development team. Add course content to the Learning and Development page on the intranet, upon approval.
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Plan and conduct professional development for faculty and staff related to Blackboard course delivery, curriculum development, backwards design theory, culturally responsive teaching practices, trauma and poverty informed practices, and performance-based learning.
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Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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Senior Machine Learning Engineer - LLM, NLPs. The successful candidate will play a pivotal role in enhancing their computational capabilities by integrating state-of-the-art machine learning techniques, particularly LLMs and NLP, into their bioinformatics workflows.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. SGA is a Great Place To Work (GPTW) certified company, and with its thriving work environment shaped by a growth mindset, abundant learning & collaboration opportunities, opportunities, and a meritocracy-driven culture, SG Analytics has also been awarded regional best employer in 2016, 2018 & 2020.
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Strong Python skills and experience with deep learning frameworks (PyTorch / Tensorflow) 2+ years of experience in Machine learning/Deep learning. We are on a mission to make the Internet a safer place for businesses and consumers and work with fantastic customers across a number of industry sectors - organisations using our technology include the US Department of Homeland Security, the UK Home Office, the NHS, Eurostar, the Australian government, the Singapore government, UBS and many more.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Nimble is looking for a Deep Reinforcement Learning Research Engineer to help us advance our robotics moonshot by designing, developing, implementing reinforcement learning algorithms controlling multiple robots for a stealth project.
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Title: learning Company: Software Engineering Institute Carnegie Mellon University
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