76 to 100 of 466 Deep Learning Jobs

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 ❯

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 ❯

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 ❯

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 ❯

and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models to meet performance requirements. Conduct quality assurance on models, ensuring robustness, explainability, and compliance with standards. Collaborate effectively with both upstream and downstream engineering sprint teams to integrate … address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning, deep learning, and emerging technologies. Write production-supporting software components, such as data transformation scripts and inference modules, to complement model deployment. Contribute to shared libraries and … clearly and effectively, with good presentation and explanation skills. Bring 3+ years of commercial or academic experience in data science and artificial intelligence. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with a BSc required and an MSc considered advantageous. Experienced in using machine learning frameworks such as Scikit-learn, Keras, and 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 ❯

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 ❯

marketplace, the Shopping AI team is fundamentally redefining how millions of people discover and shop for homes. Our team of engineers and scientists builds and owns the production machine learning systems that power Zillow's core user experience, including personalized ranking & recommendations, semantic search, autocomplete, and display optimization. Working closely with product and design, we apply the latest advancements … of questions, including how generative AI can unlock intuitive, personalized experiences for every home shopper. About the role You Will Get To: Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications. Re-architect our core home ranking and recommendation systems to support advanced neural … full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring. Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience. Develop new AI components that optimize how we display and when we recommend homes, ensuring we 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 ❯

t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. … reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯

t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data More ❯

s degree in Computer Science, Data Science, Engineering, or a related field. PhD in a relevant field is a plus. Experience Required 5+ years of experience in AI, machine learning, or data science roles. Proven track record of developing and launching successful data-driven products, ideally within a SaaS or enterprise software environment. Experience in building and maintaining MLOps … industry is preferred. Experience in leading and mentoring teams of data scientists and product developers. Skills and Knowledge Required Proficiency in programming languages such as Python, R, or Java. Deep understanding of machine learning, deep learning, and other AI techniques. Experience with data engineering tools and frameworks. Strong knowledge of cloud computing platforms and MLOps practices. More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

scale. A track record of delivering production-grade AI projects for enterprise clients is essential (this is a senior role and not suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure OpenAI … explain complex AI concepts in business terms, gather requirements, and drive adoption. Experience leading technical teams or mentoring engineers in a project setting. AI Knowledge: Broad knowledge of machine learning and AI techniques (supervised, unsupervised learning, time-series, etc.) and familiarity with deep learning and NLP. Exposure to Generative AI and LLMs is highly desired - you … should understand concepts like prompt engineering and have curiosity about applying these in enterprise scenarios. Deep understanding of Azure AI Foundry concepts (e.g., grounding, orchestration, Azure Agents) and ability to evaluate where it fits in a solution landscape. Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect More ❯

scale. A track record of delivering production-grade AI projects for enterprise clients is essential (this is a senior role and not suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure OpenAI … explain complex AI concepts in business terms, gather requirements, and drive adoption. Experience leading technical teams or mentoring engineers in a project setting. AI Knowledge: Broad knowledge of machine learning and AI techniques (supervised, unsupervised learning, time-series, etc.) and familiarity with deep learning and NLP. Exposure to Generative AI and LLMs is highly desired - you … should understand concepts like prompt engineering and have curiosity about applying these in enterprise scenarios. Deep understanding of Azure AI Foundry concepts (e.g., grounding, orchestration, Azure Agents) and ability to evaluate where it fits in a solution landscape. Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect More ❯

scale. A track record of delivering production-grade AI projects for enterprise clients is essential (this is a senior role and not suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure OpenAI … explain complex AI concepts in business terms, gather requirements, and drive adoption. Experience leading technical teams or mentoring engineers in a project setting. AI Knowledge: Broad knowledge of machine learning and AI techniques (supervised, unsupervised learning, time-series, etc.) and familiarity with deep learning and NLP. Exposure to Generative AI and LLMs is highly desired - you … should understand concepts like prompt engineering and have curiosity about applying these in enterprise scenarios. Deep understanding of Azure AI Foundry concepts (e.g., grounding, orchestration, Azure Agents) and ability to evaluate where it fits in a solution landscape. Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect More ❯

personal holiday expert - the smart way to get away. About the team Our Data Science team comprises eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a … collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data … and designing fault-tolerant systems Your skillset: We're seeking an exceptional technical leader who can drive innovation while maintaining production excellence. The following qualities are essential: Technical Excellence: Deep expertise in machine learning approaches with the ability to assess and implement cutting-edge algorithms Strategic Thinking: Ability to break down high-level optimisation goals into lower-level More ❯

to deliver more value to their customers. BASIC QUALIFICATIONS 2+ years of research experience PhD, or Master's degree and 3+ years of applied research experience Experience with neural deep learning methods and machine learning Knowledge of Machine Learning algorithms and techniques PREFERRED QUALIFICATIONS PhD in Computer Science, Machine Learning, or a related field, with … a focus on GenAI Experience in developing and implementing algorithms for LLMs and/or diffusion models inference Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch Excellent problem-solving skills, with the ability to think creatively and critically about complex problems Strong communication and collaboration skills, with the ability to More ❯

analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models More ❯