226 to 250 of 971 Deep Learning Jobs

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels … We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions, however please only … with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in the cloud More ❯

Senior Machine Learning Research Engineer - Artificial Intelligence Bloomberg's Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are … expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research … and research findings in documentation, whitepapers or publications to leading academic venues We are looking for a Senior ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS More ❯

Join to apply for the Audio Machine Learning Engineer role at Cisco Join to apply for the Audio Machine Learning Engineer role at Cisco Please note this posting is to advertise potential job opportunities. This exact role may not be open today, but could open in the near future. When you apply, a Cisco representative may contact you … directly if a relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is our … vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely More ❯

d love to work in, even if you only have some of the experience listed below, please apply. The Role Lila Sciences is seeking experienced, creative, and talented Machine Learning Engineers across Engineer, Senior Engineer, and Principal Engineer levels to join our team. Title will be determined by merit and experience level. Join our agile team to reimagine the … generative models, data pipelines, and software engineering excellence. Ready to transform science? Let’s talk! Candidates should have experience and/or interest in: Designing data pipelines for machine learning on multi-node GPU clusters. Training large language models including domain adaptation and retrieval-augmented generation (RAG) as part of an agentic framework. Implementing robust evaluation frameworks, including custom … benchmarks, to rigorously test model performance and reliability. Integrating ML solutions into production environments. Qualifications: Master’s or PhD degree in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience. Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed computing platforms (AWS, GCP, Azure, or on More ❯

Social network you want to login/join with: Senior Machine Learning Scientist (Viator), London col-narrow-left Client: Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: f549d0ffdc4c Job Views: 13 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: About Viator Viator, a Tripadvisor company, is the leading marketplace … Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data More ❯

looking for an Applied Scientist to design, implement and deliver end-to-end solutions. We are seeking passionate, hands-on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. You … will drive ideas to products using paradigms such as deep learning, semi-supervised learning, and dynamic learning. As a Senior Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial … and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms. Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision More ❯

of original work in top-tier conferences in Computer Vision and Machine Learning. A day in the life As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking computer vision and ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior scientists. You'll work with … massive datasets, optimize model performance, and ensure production readiness. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application More ❯

covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you … new business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications 2+ years of experience … leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java Excellent written and verbal communication skills PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered More ❯

Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across the full machine learning lifecycle, designing sophisticated models, experimenting with cutting edge … to the technical architecture, champion best practices in MLOps, and guide the strategic direction of our AI capabilities. This is a hands-on role for someone who enjoys both deep technical work and cross-functional collaboration—driving forward innovation while ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across … use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real-time inference Develop and maintain robust APIs and infrastructure for scalable model deployment, monitoring, and versioning More ❯

Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across the full machine learning lifecycle, designing sophisticated models, experimenting with cutting edge … to the technical architecture, champion best practices in MLOps, and guide the strategic direction of our AI capabilities. This is a hands-on role for someone who enjoys both deep technical work and cross-functional collaboration—driving forward innovation while ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across … use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real-time inference Develop and maintain robust APIs and infrastructure for scalable model deployment, monitoring, and versioning More ❯

rapidly share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to accelerate the adoption of generative … Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate … professional, non-internship software development. Experience coding in Python, R, Matlab, Java or other modern programming language. Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training More ❯

10x improvements by supporting them in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions … a production environment. Desired Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models … using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written and More ❯

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning … integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. BASIC QUALIFICATIONS - 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural … deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and More ❯

our core products and operations. You'll be at the forefront of our AI strategy, leading initiatives to optimize underwriting, claims processing, risk assessment, and customer personalization using machine learning and advanced analytics. KeyResponsibilities: Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud detection, pricing, and customer experience initiatives. Design and … efficiency and innovation. KeyRequirements: 6+ years of experience in data science, with at least 2 years in a lead or managerial role. Proven track record building and deploying machine learning models in real-world environments, preferably within insurance, fintech, or healthtech. Strong background in statistics, machine learning, and AI techniques, including deep learning and NLP. Proficient More ❯

also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply advanced Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a … AI algorithms to address real-world challenges. * Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. * Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to … 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 and Career Growth We’re continuously More ❯

Junior AI & Data Scientist to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll … what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are … opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. More ❯

Junior AI & Data Scientist to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll … what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are … opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. More ❯

AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to … 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 … of AI/ML models - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning PREFERRED QUALIFICATIONS Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow More ❯

AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs … the ML and AI initiatives. Your Profile Essential skills/knowledge/experience: Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. Previous hands-on experience … preferred. Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD More ❯

just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS Strong experience in building large scale machine learning or deep learning models and in Generative AI model development. Experience in data and machine learning engineering and cloud native technologies. Strong experience communicating across technical … ec2, elb, rds, route53 & s3). Experience with software development life cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make More ❯

such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing risk, and build … Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or … balance. Specifically, we have adopted a hybrid and in-office working culture, meaning you have ultimate flexibility in your work environment. Grow yourself, your career and reputation through continuous learning, promotion opportunities and our generous recognition programme. If you're ready to take on impactful challenges alongside a skilled and supportive team, apply today and help us unlock the More ❯

advanced AI solutions that support medical professionals in delivering high-quality care. They are looking for an experienced Research Scientist to drive the development and integration of advanced machine learning tools into scalable healthcare solutions. You will collaborate with engineering and research teams to design robust ML workflows, improve infrastructure, and ensure production-grade deployment of AI systems. This … Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 5 years of industry experience or a PhD in a relevant area Strong theoretical foundation in ML, deep learning, and computer vision Proficient in Python and common ML frameworks such as PyTorch Hands-on experience with MLOps platforms and tools (experience with ClearML is beneficial) Familiarity More ❯

advanced AI solutions that support medical professionals in delivering high-quality care. They are looking for an experienced Research Scientist to drive the development and integration of advanced machine learning tools into scalable healthcare solutions. You will collaborate with engineering and research teams to design robust ML workflows, improve infrastructure, and ensure production-grade deployment of AI systems. This … Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 5 years of industry experience or a PhD in a relevant area Strong theoretical foundation in ML, deep learning, and computer vision Proficient in Python and common ML frameworks such as PyTorch Hands-on experience with MLOps platforms and tools (experience with ClearML is beneficial) Familiarity More ❯

external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience in Python, or another language … Responsible AI alignment techniques for the Large Language Model (LLM) that drives Alexa+. We work on recent advances in LLM science including automated prompt optimisation, supervised fine tuning, reinforcement learning, model distillation, retrieval augmented generation, model & prompt interpretability and LLM driven data generation. The techniques are used to tune a foundational model to align with Alexa's policies on More ❯

will work collaboratively across the organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly … recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature … engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments. Qualifications Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master's degree preferred; Proven experience implementing and fine-tuning Large Language Models or interactive AI applications More ❯