176 to 200 of 268 Deep Learning Jobs

FL. MRSL also has offices in Monterey, CA and Dayton, OH as well as several employees located at customer facilities in the US and around the globe. MRSL has deep experience in signal processing applications and common services development for the National agencies of the Intelligence Community (IC) and the Department of Defense. We develop and deploy multiple applications … Discount Programs Requirements AI/ML Software Engineer for Signal Processing Applications- Minimum Qualifications: We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. The right candidate will have a high degree of drive and dedication, and the ability to learn quickly … Engineering, Computer Engineering, Mathematics, or related field Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred) Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) Solid programming background with experience using statistical and signal analysis libraries Experience with neural network architectures including More ❯

Grade Level (for internal use): 12 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers … to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P … subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle experience, from business requirements gathering to testing production release Strong coding experience in Python to write robust More ❯

Grade Level (for internal use): 12 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers … to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P … subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle experience, from business requirements gathering to testing production release Strong coding experience in Python to write robust More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer … with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated More ❯

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

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer … Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity More ❯

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running. • BS degree or higher … Engineering, Computer Engineering, Mathematics, or related field • Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred) • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) • Solid programming background with experience using statistical and signal analysis libraries • Experience with neural network architectures including … deep learning models • Understanding of transformer architectures and attention mechanisms • Strong understanding of MLOps, deployment and processing pipelines, testing/validation • TS/SCI active clearance required. U.S. Citizenship required Nice to have, but not required: • Understanding of digital signal processing fundamentals • Experience with RFML • Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering • Knowledge More ❯

Overview We're Hiring: Machine Learning Engineer (Research-Focused) Type: Contract 4 - 6 Months Location: West London Salary: Up to £75 p/h Our client, a globally recognised technology leader , is seeking a Machine Learning Engineer with a strong research background to drive advancements in computer vision, generative AI, and deep learning. The organisation is renowned … Requirements PhD (or current PhD student) in ML/AI/Computer Vision. Exceptional Master's candidates with extensive research experience will also be considered. Strong foundations in Machine Learning, Computer Vision, and Deep Learning Proficiency in PyTorch and Python First-author publications in top-tier conferences/journals (ICML, NeurIPS, ICLR, CVPR, ECCV, AAAI, IEEE TPAMI … computer vision and/or language processing) Foundation Models (computer vision and/or language processing) Parameter-Efficient Fine-Tuning Data/Model Privacy Model Optimization for Multi-Task Learning Why Join? Work on advanced AI research with global impact, alongside leading experts in the field. If you are ready to take on this challenge, we would love to More ❯

Enterprise Architect - AI/Data Washington, DC (5 days a week on-site) Public Trust You will use your deep knowledge of enterprise architecture principles, AI technologies, and data management practices to guide decision-making and ensure that the architecture supports business objectives and enhances operational capabilities. Key Responsibilities: • Design and develop end-to-end AI and data architectures … that guide the integration of AI and data solutions across the organization. • Lead the development and implementation of data platforms and AI-driven systems that facilitate advanced analytics, machine learning, and automation. • Define AI strategy and guide its implementation across business units, ensuring alignment with business objectives. • Oversee the deployment and integration of AI models, tools, and technologies into … business and technical teams to understand business needs and translate them into architectural solutions that leverage AI and data analytics. • Stay current with the latest advancements in AI, machine learning, data technologies, and architecture best practices. • Lead the adoption and implementation of emerging AI technologies, ensuring the organization remains competitive and innovative. • Assess and mitigate risks associated with data More ❯

trust for DOJ which can take up to 3 months Enterprise Architect - AI/Data Washington, DC (5 days a week on-site) Public Trust You will use your deep knowledge of enterprise architecture principles, AI technologies, and data management practices to guide decision-making and ensure that the architecture supports business objectives and enhances operational capabilities. Key Responsibilities … that guide the integration of AI and data solutions across the organization. • Lead the development and implementation of data platforms and AI-driven systems that facilitate advanced analytics, machine learning, and automation. • Define AI strategy and guide its implementation across business units, ensuring alignment with business objectives. • Oversee the deployment and integration of AI models, tools, and technologies into … business and technical teams to understand business needs and translate them into architectural solutions that leverage AI and data analytics. • Stay current with the latest advancements in AI, machine learning, data technologies, and architecture best practices. • Lead the adoption and implementation of emerging AI technologies, ensuring the organization remains competitive and innovative. • Assess and mitigate risks associated with data More ❯

Recognized consistently as one of the best places to work, they pride themselves on fostering a culture of collaboration, growth, and customer success. Job Description You will use your deep knowledge of Enterprise Architecture principles, AI technologies, and data management practices to guide decision-making and ensure that the architecture supports business objectives and enhances operational capabilities. Duties and … that guide the integration of AI and data solutions across the organization. - Lead the development and implementation of data platforms and AI-driven systems that facilitate advanced analytics, machine learning, and automation. - Define AI strategy and guide its implementation across business units, ensuring alignment with business objectives. - Oversee the deployment and integration of AI models, tools, and technologies into … business and technical teams to understand business needs and translate them into architectural solutions that leverage AI and data analytics. - Stay current with the latest advancements in AI, machine learning, data technologies, and architecture best practices. - Lead the adoption and implementation of emerging AI technologies, ensuring the organization remains competitive and innovative. - Assess and mitigate risks associated with data More ❯

modeling, artificial intelligence, and complex data analysis to support critical government and intelligence initiatives. If you're passionate about turning data into actionable insights using advanced algorithms and machine learning techniques-and thrive in a fast-paced, results-driven, and data-rich environment-this opportunity is for you. RESPONSIBILITIES Apply statistical, mathematical, and AI models to large and complex … datasets Design and implement machine learning algorithms to identify patterns and predict outcomes Develop data pipelines, analytical models, and visualization tools to support decision-making Collaborate with mission teams to translate requirements into data science solutions Perform exploratory data analysis, feature engineering, and model validation Communicate findings through clear visualizations, reports, and technical briefings Support integration of advanced analytics … years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data findings to technical and More ❯

emphasis on performance-critical, real-time, or distributed systems. Domain expertise in one or more of the following areas: Robotics: motion planning, control, sensor fusion, ROS2. AI/ML: deep learning, reinforcement learning, 3D perception, vision-language models. Cloud & Infrastructure: GCP, distributed systems, APIs, CI/CD, microservices. Proven track record of shipping complex products - bridging research More ❯

data-driven architecture design. • Extensive experience in enterprise architecture frameworks (e.g., TOGAF, Zachman). • Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). • Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. • Hands-on experience with cloud platforms (Azure … AWS, or Google Cloud) for building scalable data solutions. • Proficiency in data modeling, data warehousing, and ETL processes. • Familiarity with AI ethics and the implications of machine learning and data use in organizational contexts. • Strong understanding of how AI and data solutions align with and drive business goals and objectives. • Ability to address complex architectural and business challenges by … that guide the integration of AI and data solutions across the organization. • Lead the development and implementation of data platforms and AI-driven systems that facilitate advanced analytics, machine learning, and automation. • Define AI strategy and guide its implementation across business units, ensuring alignment with business objectives. • Oversee the deployment and integration of AI models, tools, and technologies into More ❯

Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker . This … role is based UK Wide. This role will be Via Umbrella. Working in a Hybrid Model of 1 day a week on site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate … ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity with CI/CD practices and version control (Git). Excellent problem-solving and communication skills. Nice More ❯

provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection tasks with … experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems on customer sites. Documenting solutions-creating clear functional design specs … vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK driving licence More ❯

model instances within our computing environment Requirements Degree in computer science, artificial intelligence, or a related field 12+ years of experience in software engineering, with a focus on machine learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid … understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services Knowledge of software engineering best practices, including version control, testing, and continuous integration/deployment Excellent problem-solving and debugging skills Strong communication and collaboration abilities to work effectively with cross-functional teams More ❯

Month Contract - Hybrid Working - Asap Start - Outside of IR-35 Overview The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building … and deploying machine learning models that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product … teams to translate business needs into technical solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building More ❯

Month Contract - Hybrid Working - Asap Start - Outside of IR-35 Overview The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building … and deploying machine learning models that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product … teams to translate business needs into technical solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building More ❯

Month Contract - Hybrid Working - Asap Start - Outside of IR-35 Overview The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building … and deploying machine learning models that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product … teams to translate business needs into technical solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building More ❯

Month Contract - Hybrid Working - Asap Start - Outside of IR-35 Overview The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building … and deploying machine learning models that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product … teams to translate business needs into technical solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building More ❯

our customers' success. Technical Proficiency: Advanced Python Proficiency: Demonstrated expertise in writing clean, well-tested, and maintainable Python code. Cloud Deployment Expertise: Hands-on experience deploying applications and machine learning models in cloud environments (AWS strongly preferred, GCP/Azure a plus), using containers (Docker, Kubernetes) and infrastructure-as-code principles. Software Engineering Fundamentals: A strong understanding of core … in Pharma, Biotech, or Healthcare roles. You have previous experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Developer Advocate, or Technical Consultant. You have deep experience with the AWS ecosystem and services relevant to ML, such as SageMaker, EC2, S3, IAM, and VPC. You are familiar with deep-learning frameworks like PyTorch More ❯

Title: A.I. Engineer Location: Hybrid Work Model Reporting to Vienna, VA Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Responsibility: Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. Partner … Qualifications: Advanced degree in in computer science, mathematics, physics, statistics, or related field. Strong experience with applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with Natural Language … Processing/Natural Language Understanding. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. Ability More ❯

generation of Experian's products with GenAI and ML. Learn quickly and be able to put new GenAI concepts into practice. Spend 10% of your work time on continuous learning and sharing expertise on generative-AI technologies. Qualifications You have experience in Python. You are a self-starter with strong troubleshooting skills. Desirable/Additional Qualifications Have a degree … with container orchestration tools such as Kubernetes, Docker Swarm, or cloud-based alternatives. Comfort working across the full development stack, especially for prototyping. Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle. Conceptual understanding of common ML approaches (e.g., LLMs, GBMs, deep learning) and typical software architectures. Detail-oriented, pragmatic … and collaborative team player. Experience as a lead developer tackling complex problems at scale. Experience mentoring junior engineers. Familiarity with various machine learning frameworks and toolkits (e.g., scikit-learn, XGBoost, TensorFlow). Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs). Have experience with cloud computing 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 ❯