126 to 150 of 213 Permanent Deep Learning Jobs

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 ❯

customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Drive continued scientific innovation as a thought leader and practitioner. - Provide technical and career development … exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. 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 Java, C++, Python or related language - Experience with neural … deep learning methods and machine learning PREFERRED QUALIFICATIONS - 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected 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 ❯

Job ID: 702489BR Date posted: Aug. 25, 2025 Description: THE WORK The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet … re now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities WHO YOU ARE At Lockheed Martin, you will work with our team of skilled AI/ML Engineers … plan. Paid time off for work/life balance. And more Basic Qualifications: A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. Plus 10 years experience deploying machine learning algorithms is required. Or Bachelor's degree may be substituted for 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 ❯

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 ❯

and deliver. - Be responsible for communicating our science innovations to the broader internal & external scientific community. BASIC QUALIFICATIONS - 4+ years of applied research experience - 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 PREFERRED QUALIFICATIONS - 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected 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 ❯

Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for … ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted … experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative More ❯

AI roadmap. Who You'll Be: An experienced Python developer with a strong grasp of data structures and algorithms, and an understanding of CI/CD pipelines. A Machine Learning professional proficient in data wrangling (SQL, pandas, NumPy) and scripting. You'll be skilled in supervised and unsupervised learning, model evaluation, and feature engineering. Knowledgeable in Deep Learning frameworks like PyTorch, with experience in various neural networks and NLP models. Exposure to generative and multi-modal models is a plus. A practitioner of MLOps, experienced in model serving, orchestration (Kubernetes), and experiment tracking. You'll be capable of designing and delivering large-scale ML systems and platforms, with a focus on cost optimization and reproducibility. … Thrive in a customer-facing, dynamic environment where you can grow your technical and communication skills. Be part of a diverse, inclusive, and multi-cultural team that values continuous learning and innovation. 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 ❯

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 ❯

defense company that's shaping the future of cyber and intelligence. We're committed to: Innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities. Supporting Our Mission: Equipping our employees with the tools, resources, and expertise they need to deliver innovative cyber and intelligence solutions … work. Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. Basic Qualifications: TS/SCI with Polygraph 10 years experience deploying machine learning algorithms is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university … is required. 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. - Documented AI/ML Experience - Documented Data Model experience - Documented AI/ML Algorithm experience - Demonstrated ability to design, evaluate, and productize AI/ 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 ❯

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 … businesses. The Team You will be joining the Detection team. 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 as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained … looking for a Staff Data Scientist to act as a technical leader on behalf of the Detection team, working on solving our most complex challenges. You will use your deep expertise to guide the team in investigating ambiguous cases and ensuring the fundamental integrity of our modeling approaches. We have to build robust models that are capable of updating 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 ❯