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DeepRec.ai is looking for a Senior Machine Learning Engineer to lead the development of cutting-edge AI models for Occupant and Driver Monitoring Systems (OMS/DMS). The key responsibilities include designing and developing models for computer vision and machine learning, technical leadership through project direction and mentorship, optimizing models for embedded systems, and owning the full ML pipeline. The candidate should have a PhD in a relevant field, strong experience with Python, and familiarity with C++.

Meta is looking for an AI Research Scientist specializing in Media Models. The ideal candidate will have a strong background in generative AI and be involved in innovative research while working collaboratively within a large team. Responsibilities include leading research initiatives, contributing to code, and mentoring others. Candidates should have a PhD in a related field and experience in AI, specifically in diffusion and flow matching.

Younited is looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of ML/AI models across diverse use cases. You will advocate for ML engineering excellence while developing scalable ML platforms and tools. You should have a Master's or PhD in Computer Science or a related field and 3 years experience in ML Engineering.

IBM is looking for a Software Development Engineer II to join a high-impact, cross-functional team focused on bringing generative AI and machine learning to life within Apptio's suite of FinOps products, including ApptioOne and Cloudability. This position entails designing, building, and maintaining scalable software systems to integrate AI/ML models into production-ready features. The ideal candidate is proficient in modern programming languages and has a solid understanding of software engineering principles including design patterns and system architecture.

Booking.com is looking for a Machine Learning Manager for the Content Intelligence team. You will be responsible for leading the development of our Supply Intelligence capabilities, managing a high-performing ML team, and driving innovative GenAI applications. The role requires strong leadership skills, deep expertise in ML, and experience in a fast-paced production environment.

Oho Group Ltd is looking for a Machine Learning Researcher to join its elite AI research division. In this role, you will research and develop machine learning algorithms, drive cutting-edge innovation, and tackle some of the most complex problems in the field. Candidates are expected to hold a PhD with a strong publication record. Deep expertise in machine learning algorithm development is essential, with nice to have experience in reinforcement learning, large language models, optimisation methods, and deep learning frameworks such as TensorFlow or PyTorch.

Noir is looking for a Machine Learning Engineer to join their team. The role focuses on developing cutting-edge machine learning applications utilizing a variety of technologies such as Python, TensorFlow, and Natural Language Processing (NLP). You will be part of a forward-thinking AI company that offers innovative solutions, and you will collaborate with top talents to shape the future of AI. Full training will be provided for candidates to expand their skills.

Findr is looking for a Machine Learning Engineer with expertise in NLP and LLMs to develop AI-powered tools aimed at helping legal and financial professionals process complex documents efficiently. The ideal candidate will have strong Python skills, experience with Hugging Face or PyTorch, and a passion for deploying real-world solutions in machine learning.

Evident is looking for a Machine Learning Engineer who loves shipping real-world AI features. You will design, train, and deploy machine learning models for classification and multimodal tasks while collaborating with product and full-stack teams.

Oho Group Ltd is looking for a Research Machine Learning Engineer to join its elite AI research division. Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, especially for those who thrive in pushing the boundaries of what's possible. Nice to have experience includes reinforcement learning, large language models, optimisation methods, deep learning frameworks, and applied AI research at scale.