1 to 25 of 570 Deep Learning Jobs

helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product … quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (eg, proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. 3. Data & Infrastructure Oversee the creation and maintenance of scalable data pipelines (ETL/ELT … years in senior/lead role): Demonstrated track record of shipping AI/ML products end-to-end (from prototype to production). Hands-on expertise building and deploying deep learning models (eg, CNNs, Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong More ❯

helping define product strategy. In this role, you will: • Lead AI strategy and execution in a high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product … quarter AI roadmap aligned with product milestones and fundraising milestones. • Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). • Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. 3. Data & Infrastructure • Oversee the creation and maintenance of scalable data pipelines (ETL/ELT … years in senior/lead role): • Demonstrated track record of shipping AI/ML products end-to-end (from prototype to production). • Hands-on expertise building and deploying deep learning models (e.g., CNNs, Transformers, graph neural networks) in real-world applications. • Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). • Strong More ❯

drive meaningful outcomes for our customers. You will collaborate with cross-functional teams to identify opportunities for automation, optimization, and innovation. This role requires a strong foundation in machine learning, deep learning, and data science, as well as a passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and … deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance. Research & Innovation: Stay current … that all AI solutions adhere to ethical guidelines, data privacy standards, and regulatory requirements. Qualifications Required Qualifications Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience in developing and deploying AI/ML models in a production environment. Proficiency in programming languages such as Python, Java, or C++. Experience More ❯

fosters collaboration across diverse domains, including Data Science, Advanced Analytics, and Artificial Intelligence. At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Data Science & Machine Learning Specialist with a proven ability to design, develop, and deploy transformative … AI and machine learning solutions. Your Role: As a Data Science & Machine Learning Specialist, you will work alongside multidisciplinary teams to unlock the full potential of data assets for clients. You will design state-of-the-art ML models, develop data-driven insights, and deploy production-grade AI solutions. Leveraging your expertise, you will help clients overcome their … French or Dutch Seniority: 3-7 years of work experience Programming Skills : Expertise in Python and SQL, with experience in big data tools like Apache Spark or Databricks. Machine Learning Mastery : Proficiency in TensorFlow, PyTorch, and scikit-learn for designing, training, and deploying ML models. Cloud Expertise : Hands-on experience with Azure Machine Learning, AWS SageMaker, or GCP More ❯

a Data Scientist to support a large U.S. Department of Justice (DOJ) program within the Antitrust Division. In this role, you will apply your expertise in data analytics, machine learning, and computational methods to extract meaningful insights from large, complex datasets. Your day-to-day work will involve leading data-driven research and developing sophisticated analytical solutions that support … cutting-edge data science techniques to solve complex problems that have real-world regulatory and policy implications. Duties and Responsibilities Lead data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science Develop and implement predictive models, classification algorithms, and clustering techniques to support research goals Apply natural … and scalability Innovate and test new computational techniques to improve the accuracy and robustness of models for research applications Contribute to algorithmic advancements in the context of AI, machine learning, and deep learning Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects More ❯

Services team is looking for a Data Scientist, this role plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities 1. Generative AI Model Development … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … like to request an accommodation, please let us know and we will connect you to our accommodation team. BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. - Proficiency in More ❯

including support for customers who require specialized security solutions for their cloud services. Are you an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon's AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and foundational models. As part of … to products that redefine the industry. Key job responsibilities Lead research initiatives in Multimodal generative AI, pushing the boundaries of model efficiency, accuracy, and scalability. Design, implement, and evaluate deep learning models in a production environment. Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services. Publish in top-tier conferences and journals, keeping Amazon … Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java). First author in research More ❯

your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and … driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills MS and/or PhD in Computer Science, Machine Learning, or a related field, with applied machine learning experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. … Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as More ❯

revolutionise the way legal services are delivered. Working closely with a cross-functional team of data scientists, software engineers, and legal professionals, you will leverage your expertise in machine learning, deep learning, and natural language processing to create intelligent solutions that enhance efficiency, accuracy, and client satisfaction. The role is paying up to £45,000 and, you … option), where you will be based 3 days/week on site as part of a hybrid working model. AI Engineer Responsibilities; Design, develop, and deploy AI and machine learning models to streamline legal processes Analyse large legal datasets to extract meaningful insights and patterns Collaborate with cross-functional teams to integrate AI solutions into legal products and services … the legal industry Document AI workflows, models, and system architecture for transparency and reproducibility Requirements Proficiency in programming languages such as Python, Java, or C++ Strong understanding of machine learning frameworks (e.g., PyTorch (preferred), TensorFlow, Scikit-learn) Experience with data processing tools and cloud platforms (e.g., Azure, GCP, AWS) Knowledge of deep learning, NLP, and computer vision More ❯

grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in More ❯

grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in More ❯

looking for? Lead AI Engineer. We are looking for smart, self-driven, high-energy people with top notch communication skills, intellectual curiosity and passion for technology in the Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Retail, CPG, Logistics, Manufacturing, Life Sciences, Finance and Insurance), strong business and technical … solution. You will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. Industry knowledge - Knows advanced concepts of machine learning, has deployed ML/AI solutions in the cloud, has a deep understanding of coding practices, knows how to guide teams on debugging issues, can connect the dots … AWS/GCP Cloud knowledge •Experience in development of Information extraction pipelines (OCR, NLP, text/layout segmentation) using Open-source tools/Models (ex. tesseract, PaddleOCR, etc.) or Deep Neural Network (Yolo, Detectron, etc) •Experience in fine tuning of pretrained models (pytorch or tensorflow) •Experience in Data Modeling and Semantic search using sparse and dense indexes. Basic Understanding More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment. Strong skills in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to More ❯

right pay and keep your profile in our database for future opportunities as well. This role is an excellent opportunity for professionals experienced in designing, training, and deploying machine learning models that solve real-world problems. If you're passionate about artificial intelligence, model optimization, and production-grade deployment we encourage you to apply. Remote machine learning roles … typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business … provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks More ❯

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key … job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering … teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of More ❯

Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key … job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering … teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of More ❯

ML scientists and NLP/Gen AI/LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI … consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration … of machine learning models into production systems. Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science More ❯

Responsibilities Design, implement, and optimize deep learning models (CNNs, RNNs, Transformers, etc.) to address project-specific challenges. Work with large-scale datasets, including data cleaning, preprocessing, augmentation, and feature engineering. Develop end-to-end pipelines from data ingestion through model training, validation, and deployment. Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions. Conduct … results, and iterate to improve model performance. Ensure code quality with version control, documentation, and testing best practices. Stay up-to-date with the latest research and tools in deep learning and AI. Support model deployment on cloud platforms or edge devices as required. Required Skills & Experience Proven experience in building and deploying deep learning models … for real-world applications. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong understanding of neural network architectures (CNNs, RNNs, LSTMs, Transformers). Experience with data preprocessing techniques and working with unstructured data (images, text, audio). Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. Solid knowledge More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you'd have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to More ❯

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML … to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS … throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet More ❯

simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will … identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing … would love to hear what makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models More ❯

simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will … identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing … would love to hear what makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models More ❯