151 to 175 of 410 Deep Learning Jobs

technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to … frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship, ongoing learning opportunities, and exposure to cutting-edge AI technologies. 💡 Innovation Culture – Work in a collaborative environment that values experimentation, curiosity, and real-world impact. 🏢 Hybrid Flexibility – Enjoy a balance of … What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data More ❯

technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to … frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship, ongoing learning opportunities, and exposure to cutting-edge AI technologies. 💡 Innovation Culture – Work in a collaborative environment that values experimentation, curiosity, and real-world impact. 🏢 Hybrid Flexibility – Enjoy a balance of … What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data More ❯

technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to … frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship, ongoing learning opportunities, and exposure to cutting-edge AI technologies. 💡 Innovation Culture – Work in a collaborative environment that values experimentation, curiosity, and real-world impact. 🏢 Hybrid Flexibility – Enjoy a balance of … What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data More ❯

Job Description Summary In this role, you will understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs in neuroscience, discover actionable insights and automate process for reducing effort and time for repeated use. Moreover, you will manage the implementation and adherence … or AI analyses and algorithms, to facilitate internal decision making, support submissions of candidate drug and research collaborations. You will provide technical expertise in data science and (predictive) machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making and research collaborations. You will perform hands-on … basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and analytical methods for More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI specialist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI specialist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

years experienceLocation: North Carolina On-site Role We are seeking a highly experienced AI/ML Engineer with 10-15 years of hands-on engineering and machine learning/AI work, to lead the design, implementation, production deployment and maintenance of advanced AI/ML solutions. You will partner with business, data science, engineering, product and operations teams to … CD for ML (MLOps), monitoring & alerting of model performance.Work with large and complex datasets (structured, semi-structured, unstructured) to derive features and insights, applying advanced ML/AI techniques (deep learning, NLP, CV, generative models, reinforcement learning) as appropriate.Choose appropriate algorithms and frameworks (supervised, unsupervised, deep neural networks, transformer architectures, etc, implement, fine-tune and optimize … business insight. Required Qualifications : Bachelors degree in Computer Science, Engineering, Statistics, Mathematics or related quantitative field; Masters or PhD preferred.10-15 years of experience in software engineering and machine learning/AI engineering roles (building, deploying, operating machine learning models and AI systemsExpertise in programming languages such as Python, and framework experience (e.g., TensorFlow, PyTorch, scikit-learn, KerasProven More ❯

role, you'll collaborate cross-functionally with product, engineering, and business teams to design, build, and scale AI solutions that set us apart in the industry. You'll bring deep technical expertise, a passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value. Our ideal candidate is … in a dynamic, fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious, proactive, and committed to continuous learning, especially in emerging areas like Generative AI and Large Language Models (LLMs). You should be comfortable engaging with all levels of the organization, from peers to executives, and … platforms. What You Should Bring: Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or related discipline 10+ years of experience in data science, machine learning, or applied AI, with a strong portfolio of high-impact projects in production Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI strategist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator, able to translate complex More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI strategist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator, able to translate complex More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, LLMs and Deep Learning. Our Machine Learning Engineers are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, assisting the data scientists in designing and … hear from you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer PoVs and onboarding … product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment. Work closely with Product Managers to help shape More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master's or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯