151 to 175 of 389 Permanent Deep Learning Jobs

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 ❯

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 ❯

day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your … development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are … mental health, and vision coverage for you, your spouse/partner, and children. Your Impact Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. More ❯

team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others. Position Overview The Sr. Machine Learning Engineer, with minimal guidance from more experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies deep knowledge … of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This role strongly contributes to the strategic vision for the application … to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment. Essential Duties Include, but are not limited to, the following: Maintain deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact More ❯

Job Title: Graduate Machine Learning Engineer Location: Northampton, UK (Hybrid) Employment Type: Full-Time Salary: £35,000 - £40,000 About the Company Intellect Group is proud to be partnering with a fast-growing technology start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions … that are reshaping industries — from predictive analytics and automation to generative AI applications. As they continue to expand their technical team, they are seeking a Graduate Machine Learning Engineer who is passionate about developing intelligent systems and eager to contribute to real-world AI challenges. The Role This is an exciting opportunity for a highly motivated graduate to join … products. The ideal candidate will combine strong technical foundations with creativity, curiosity, and a willingness to learn in a fast-paced environment. Key Responsibilities Research, develop, and implement machine learning models for real-world applications. Collaborate with cross-functional teams to integrate ML solutions into production systems. Conduct data preprocessing, feature engineering, and model evaluation using modern frameworks. Contribute More ❯