251 to 275 of 973 Deep Learning Jobs

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 ❯

state-of-the-art multi-modal, large-language-models (LLMs), and vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. This is an exciting and challenging position to deliver scientific innovations into … ML solutions to make Amazon the Earth's most trusted shopping destination for safe and compliant products. BASIC QUALIFICATIONS - PhD, or Master's degree with 2+ years of machine learning experience, or bachelor degree with 3+ years of machine learning experience - Experience programming in Python, Java, C++, or related language - Experience with neural deep learning methods … LLM, and natural language processing - Experience with conducting research in a corporate setting PREFERRED QUALIFICATIONS - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment More ❯

to be the best in industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them … into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our success is … users further via their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models, churn More ❯

evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world … Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to More ❯

Senior AI Engineer IQVIA NLP Cambridge, UK We are looking for a Senior AI Engineer to lead the development of advanced machine learning solutions that address complex challenges in the pharmaceutical and healthcare sectors. In this role, you will drive the transformation of cutting-edge research into scalable, production-grade AI systems. You'll work across the full lifecycle … that improve outcomes and accelerate innovation. Key Responsibilities Deploy fit-for-purpose models and design and implement AI algorithms for pharma and healthcare applications. Lead the transition of machine learning research into viable prototypes and scalable production systems. Apply advanced techniques in natural language processing and machine learning to enhance model performance. Validate and test models to ensure … Provide technical leadership and consultation for internal teams and external clients. Mentor junior engineers and contribute to team development and onboarding. Required Qualifications Education: Master's degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field. Several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Programming: Proficiency in More ❯

mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges. Principal Research Data Scientist We seek a Principal Machine Learning Research Data Scientist to join a collaborative project between the Wellcome Sanger Institute and Open Targets. This project aims to leverage datasets generated at the Sanger Institute and publicly … disease and healthy states. This involves understanding the training of large-scale ML models and managing large data science projects. You will be responsible for: Managing and leading machine learning research projects, publishing outcomes in scientific journals and conferences (ICLR, ICML, CVPR, etc.). Collaborating with team members to propose, develop, and evaluate new ML models for understanding single … respect. Relevant publications from the group include: Mapping single-cell data to reference atlases by transfer learning. Nature Biotechnology. scGen predicts single-cell perturbation responses. Nature Methods. Biologically informed deep learning to query gene programs in single cell atlases. Nature Cell Biology. #J-18808-Ljbffr More ❯

Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company - Practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer vision, information retrieval - Publications in top-tiered academic conferences and journals. - Knowledge of AWS products for MLOps Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support More ❯

evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focused on growing the technical capabilities of the team … Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to More ❯

where manual interventions are needed. The team leverages state-of-the-art technology and GenAI to deliver the products and associated goals. Minimum Qualifications 3+ 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 Experience with prompting techniques for LLMs 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. PhD in math/statistics/engineering or other equivalent quantitative discipline Experience with conducting research in a More ❯

Actions. Work experience in CI/CD and the setup of relevant pipeline and processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or More ❯

Java ecosystem trends (e.g., Spring Boot, Cloud Native, JVM advancements), guiding teams on technology adoption. Actively mentor and coach mid-level and junior developers, fostering a culture of continuous learning and skill development. Drive innovation by introducing new methodologies and tools, leading change management initiatives. Foster a highly collaborative team environment, ensuring smooth communication and integration among team members. … of these, we are an organisation that encourages continuous personal development, and are keen to talk with good candidate Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing. Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.). More ❯

based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML … team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big More ❯

Java ecosystem trends (e.g., Spring Boot, Cloud Native, JVM advancements), guiding teams on technology adoption Actively mentor and coach mid-level and junior developers, fostering a culture of continuous learning and skill development Drive innovation by introducing new methodologies and tools, leading change management initiatives Foster a highly collaborative team environment, ensuring smooth communication and integration among team members. … of these, we are an organisation that encourages continuous personal development, and are keen to talk with good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with More ❯

based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML … team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big More ❯

innovator in the medical research and development sector ( Software and ML integrated Product) - we are recruiting for two open positions within the same dynamic R&D team: Senior Machine Learning Engineer Medior Machine Learning Engineer This company is dedicated to improving healthcare outcomes through advanced statistical analysis and machine learning innovation . The ideal candidates will have … a strong technical foundation, a passion for scientific research, and a deep interest in applying AI to solve meaningful real-world challenges in the healthcare domain. Responsibilities Research, design, and implement new machine learning models to enhance clinical data quality and support healthcare decision-making. Continuously analyze scientific literature to identify promising algorithms and evaluate their practical application. … practices. Leverage open-source libraries and frameworks to drive experimentation and model optimization. Apply best practices for experiment tracking, model validation, and deployment . Explore new areas for machine learning applications in the medical and clinical research domain . Actively contribute to scientific visibility through conferences, workshops, and potential publications. Collaborate closely with data engineers, domain experts, and statisticians More ❯

generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you … will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and … control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning and Econometrics with hands-on implementation experience, strong analytical thinking, a deep desire More ❯

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights … and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm … generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you More ❯

Introduction JOIN US! We seek a Machine Learning Scientist to join our SymphonyAI Retail team in London. As a Machine Learning Scientist at SymphonAI - Retail, you will join our team developing shelf intelligence-a computer vision-powered system that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role … passionate about building ML products from the ground up-empowering retailers to stay competitive and meet consumers' evolving needs. Job Description What You'll Do Design, train, and deploy deep learning models for product recognition, shelf segmentation, and visual reasoning Evaluate and implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple … iterate on models continuously in production environments What You'll Bring Master's degree with 3+ years of experience or Ph.D. with 0-2 years of experience in machine learning or computer vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python More ❯

Introduction JOIN US! We seek a Machine Learning Scientist to join our SymphonyAI Retail team in London. As a Machine Learning Scientist at SymphonAI - Retail, you will join our team developing shelf intelligence—a computer vision-powered system that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role … passionate about building ML products from the ground up—empowering retailers to stay competitive and meet consumers’ evolving needs. Job Description What You’ll Do Design, train, and deploy deep learning models for product recognition, shelf segmentation, and visual reasoning Evaluate and implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple … iterate on models continuously in production environments What You’ll Bring Master’s degree with 3+ years of experience or Ph.D. with 0-2 years of experience in machine learning or computer vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcore's technology. We seek engineers with … you're excited about advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! Responsibilities and Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to thousands of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code … hardware. Engage with the AI community and stay updated with the latest developments in AI. Candidate Profile Essential skills: Bachelor's, Master's, PhD, or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related fields. Proficiency in deep learning frameworks like PyTorch or JAX. Strong Python software development skills (knowledge of C++ or other More ❯

are seeking a Tech Lead Manager (TLM) to lead the evolution and scaling of our perception systems. You will guide a dedicated team in developing and deploying robust machine learning models that enable our vehicles to understand their environment. This role involves cross-functional collaboration, architecting solutions, and driving the technical roadmap to advance our perception technologies. Responsibilities As … a member of our Autonomy organization, you will guide the strategy, architecture, and deployment of machine learning models for our vehicle's perception. These models support autonomous driving features and in-vehicle experiences by enabling environmental understanding. Your work will directly impact the core functionalities of our autonomous systems. Key areas of impact include: Technical Strategy & System Architecture: Define … object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence, and continuous improvement Cross-Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML More ❯

This innovative company uses camera data to develop state-of-the-art solutions aimed at enhancing early detection and treatment of cancer. They are now seeking a talented Machine Learning Researcher in Computer Vision to join their dynamic and fully remote team. Role Overview: This exciting opportunity is perfect for a recent PhD graduate or an individual with a … of cancer detection using video data. You will collaborate with a multidisciplinary team and contribute to the advancement of medical technology. Key Responsibilities: Develop and implement cutting-edge machine learning algorithms for detecting images and videos. Work closely with researchers, engineers, and medical professionals to translate research findings into practical applications. (team of 20 other researchers). Conduct experiments … to validate and enhance the performance of computer vision models. Stay current with the latest advancements in machine learning and computer vision, applying this knowledge to ongoing projects. Publish research findings in leading scientific journals and present at industry conferences. Qualifications: PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on Machine Learning More ❯

Data Scientist/Machine Learning Engineer Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies … our global talent has helped many clients achieve their goals. The 3 G's of RE: "Get Shit Done." "Get Over Shit." "Give a Shit." Data Scientist/Machine Learning Engineer Data is at the heart of everything we do, and as such, we are building a multi-disciplined data team to help us achieve our business goals. This … Data Science/Machine Learning role will drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations. This role also exists to provide technical oversight of and direction for the design, development, and implementation of value-generating data science solutions across More ❯

Data Scientist/Machine Learning Engineer Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies … our global talent has helped many clients achieve their goals. The 3 G’s of RE: “Get Shit Done.” “Get Over Shit.” “Give a Shit.” Data Scientist/Machine Learning Engineer Data is at the heart of everything we do, and as such, we are building a multi-disciplined data team to help us achieve our business goals. This … Data Science/Machine Learning role will drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations. This role also exists to provide technical oversight of and direction for the design, development, and implementation of value-generating data science solutions across More ❯

Senior Staff Machine Learning Scientist, Operations Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank Senior Staff Machine Learning Scientist, Operations 2 days ago Be among the first 25 applicants Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank We’re on a mission … + Benefits | Hear from the team About Ops Data Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - delivering award … winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the More ❯