76 to 100 of 212 Permanent Deep Learning Jobs

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, you will architect complex, scalable, and secure solutions tailored to meet each customer's needs. You'll gather requirements, assess current infrastructure, and … Data and AI/ML solutions and 8+ years defining long-term product/solution roadmaps with execution programs Hands-on experience with AI/ML workloads including machine learning, deep learning, NLP, CV, GNN, or distributed training Ability to create compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred More ❯

areas such as clean energy, personalised medicine, and climate science – and we need your help to create the tools, workflows, and community that will maximise its potential.This role combines deep technical work with the chance to help shape a growing national ecosystem of AI and HPC practitioners.What you’ll be doing Lead AI projects across a wide range of … enabling researchers to fully exploit advanced AI infrastructure. What we’re looking for Experience leading or mentoring technical specialists. Hands-on background in AI methods such as NLP, machine learning, deep learning, and statistical modelling (large language model experience a bonus). Proficiency in software engineering , with a strong grasp of algorithms and data structures. Excellent communication More ❯

c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and … a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep … ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Application Engineer (AE More ❯

Sr. Machine Learning Engineer, Amazon General Intelligence (AGI) Job ID: Services LLC - A57 Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizing large-scale computing infrastructure that powers our cutting-edge AI and machine learning initiatives. We leverage advanced hardware, innovative software architectures, and distributed computing techniques to enable breakthrough research … and product development across the company. We are seeking a Senior Machine Learning Engineer to join our team and lead the development of our next-generation ML training infrastructure. This is a high impact, high visibility role that will shape the future of our machine learning capabilities and contribute to the advancement of AI technology across the industry. … 8+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust; hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc.; deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up; knowledge of More ❯

Our client, a leading technology company in the artificial intelligence (AI) industry, is seeking a talented and experienced Lead Machine Learning Engineer to join their team. This role is of strategic importance to the company's continued growth and success in the rapidly evolving AI market. As a Lead Machine Learning Engineer, you will play a critical role … in developing and implementing cutting-edge machine learning solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into robust and scalable machine learning applications. Your work will directly contribute to the company's mission of leveraging AI technology to drive innovation and solve complex challenges. Key Responsibilities: Develop and deploy machine learning models and algorithms to solve business problems Collaborate with data scientists and software engineers to integrate machine learning capabilities into existing applications Design and implement scalable and efficient machine learning workflows Conduct performance optimization and troubleshooting to ensure smooth functioning of machine learning applications Stay up-to-date with the latest industry trends, research, and best More ❯

Senior Machine Learning Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ 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 … 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 … and in open-source communities Publish product and research findings in documentation, whitepapers or publications to leading academic venues You'll need to have: Practical experience with solving Machine Learning problems and techniques Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience More ❯

Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in having … to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to make model deployments … deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. The Role We are looking for a Senior Machine Learning Engineer to join our Detection team. In this role, you will be setting the technical direction that bridges data science and engineering. You will be responsible for the architecture More ❯

and/or Pandas. 3+ years in cloud computing and software development. 3+ years software development in Python, Java, JavaScript. 3+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts. 3+ years designing, building, and managing Google Cloud Platform (GCP) solutions. 3+ years in projects development using Angular/React JS, JavaScript framework. 3+ years programming in … the chatbot runs smoothly. • Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces. • Ability to design, develop, and deploy AI and machine learning solutions. • Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. • Proficiency with Natural Language Processing (NLP) tools like … and/or Pandas. • 3+ years in cloud computing and software development. • 3+ years software development in Python, Java, JavaScript. • 3+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts. • 3+ years designing, building, and managing Google Cloud Platform (GCP) solutions. • 3+ years in projects development using Angular/React JS, JavaScript framework. • 3+ years programming in More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists … data science solutions. Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to More ❯

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

in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent … and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production … and owning the end-to-end solution. An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done More ❯

systems for fairness, bias, and explainability. Familiarity with cybersecurity compliance frameworks (e.g., NIST RMF, FISMA, CMMC) and integration of AI systems into secure, audit-ready environments. Proficient in machine learning techniques (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). Strong in Python (required); experience with ML libraries such as TensorFlow, PyTorch, Scikit 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 ❯

Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights and build … scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical … field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power More ❯

Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights and build … scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical … field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power More ❯

Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights and build … scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical … field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power More ❯

venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 2-7 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 More ❯

With a global presence and a growing UK footprint, this company is renowned for pushing boundaries and delivering innovation across high-impact sectors. Your new role As a Machine Learning Engineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams of engineers and … you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world datasets … Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code More ❯

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 … skills for opportunity capture and proposal development - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R More ❯

Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in having … to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to make model deployments … ML systems. This close alignment ensures our models are built on a foundation of high-quality, reliable, and efficiently processed data. The Role We are looking for a Machine Learning Engineer to join our Detection team. You will be the crucial bridge between data science and engineering, responsible for productionising the cutting-edge models our data scientists develop. Your More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each … cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in … a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

Your work will directly impact the quality and efficiency of our data acquisition efforts, ultimately benefiting millions of customers worldwide. Responsibilities Design, develop, and implement advanced algorithms and machine learning models to improve the intelligence and effectiveness of our web crawler and content processing pipelines. Collaborate with cross-functional teams to identify and prioritize crawling targets, ensuring alignment with … business objectives Analyze and optimize crawling strategies to maximize coverage, freshness, and quality of acquired data while minimizing operational costs as well as dive deep into data to select the highest quality data for LLM model training and grounding. Conduct in-depth research to stay at the forefront of web acquisition and processing. Develop and maintain scalable, fault-tolerant … crawling operations Monitor and analyze performance metrics, identifying opportunities for improvement and implementing data-driven optimizations Mentor and guide junior team members, fostering a culture of innovation and continuous learning BASIC 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 More ❯

Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using … to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as More ❯