76 to 100 of 123 Permanent Deep Learning Jobs

small tight knit team. Qualifications: Extensive C++ experience Experience with Speech Recognition (ASR, NLP, LLMs, Dialog Management etc.) Strong communication skills Python Experience Machine learning skills: PyTorch, TensorFlow, Deep Learning, Language models etc. Has worked within start ups/scale ups If you are keen to apply more »

e.g., cognitive communications, radar, electronic warfare (EW), spectrum sensing, SIGINT). The Leidos EW Division performs on programs that include advanced signal processing, machine learning, optimization, detection & estimation, deep learning, and adaptive decision and control. The systems engineer will be key to expanding technical concepts into working more »

team is on-site daily. The successful candidate will be joining a group of PhD-educated engineers and scientists, 20+ across AI, Computer Vision, Deep Learning. Primary responsibilities Development of new ML algorithms and products for mobile-based products Required experience PhD in Computer Vision, AI or Deep Learning with publications Industry experience with AI and computer vision-based products, or game engines Solid foundations in machine learning and interest in adapting state of the art AI and NLU algorithms for high-performance applications Experience with mobile products C++ or Python OpenCV PyTorch, TensorFlow Fluent more »

equity This is an exciting new opportunity for a SLAM Computer Vision expert to join a DeepTech start-up! THE COMPANY This Deep-Tech start-up is going through a funding round and growing its company substantially. They specialize in leveraging advanced computer vision techniques to process and analyze … will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D AI pipeline … leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project management for AI more »

equity This is an exciting new opportunity for a SLAM Computer Vision expert to join a DeepTech start-up! THE COMPANY This Deep-Tech start-up is going through a funding round and growing its company substantially. They specialize in leveraging advanced computer vision techniques to process and analyze … will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D AI pipeline … leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project management for AI more »

Machine Learning Researcher (London – visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world’s largest tech & manufacturing brands The team are working on prototypes … a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely technical more »

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may more »

cost-optimized AI/ML solutions utilizing serverless technologies, container/Kubernetes deployments, and GPU compute infrastructure. Hands-on experience with advanced AI architectures, deep learning frameworks, and MLOps capabilities for robust model deployments. Skilled in developing and integrating APIs to serve ML models and building end-to more »

we’d love to hear from you. Qualifications 3+ years of relevant Data Science/ML experience at product-driven companies. Solid experience with deep learning libraries such as Transformers, PyTorch, TensorFlow, Jax, or Keras. Proficiency in Python , with a strong grasp of Git workflows & commitment to best … environments including distributed clusters and GPUs. Demonstrated ability to deploy ML applications using containerization technologies is a bonus. Responsibilities Develop and refine scalable machine learning libraries tailored to the financial sector's needs. Write, document, and maintain modular code bases, ensuring quality and sustainability in collaboration with our engineering … present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. Design and implement machine learning models to parse and learn from diverse data sets, including but not limited to textual, tabular, and graph data, optimizing for the financial domain. more »

Engineer to join a rapidly growing scale-up working at the forefront of technology. The successful Software Engineer will have a background in Machine Learning and Computer Vision and will be brought in to develop efficient algorithms which enhance the product's ability to track and predict the behaviour … to solve real-world problems. Skills and Experience Needed for Computer Vision Engineer: PhD or MSc in Computer Vision or similar. Strong experience using Deep Learning/Machine Learning. Knowledge of Object Detection, Object Tracking and/or Pose Estimation would be considered advantageous. Knowledge or prior experience more »

with cutting-edge technologies. The Role: Your day-to-day responsibilities will include: Working on core segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 8 reporting to the Head of Data Science - working closely more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and … other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full ownership stakes in … together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment more »

adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing … academic publications Excellent written and verbal communication skills The following skills are desirable: -Large scale/parallel computing -Multi-modal or explainable machine learning methods -Working with knowledge graphs and graph databases Achieve together We want the best people on our team, so we welcome and encourage applications from more »

An intriguing opportunity for a Machine Learning Processor Architect with an early-stage start-up developing a unique new processor technology. Our client has offices in London and Oxford, however remote working is also possible. Here the Machine Learning Processor Architect will join as one of the early … and drive new architectural features for next generation hardware, and evaluate performance of cutting-edge AI workloads. The right candidate: This role of Machine Learning Processor Architect requires someone that understands the ins and outs of computer architecture, and the nuances of what it takes to optimise and trade … off various aspects of hardware-software co-design. Past experience working on performance architecture of GPUs/AI Accelerators is required, with experience with deep learning frameworks (such as PyTorch, Tensorflow). Our client is open to considering candidates at various levels of experience, provided they have the more »

An intriguing opportunity for a Machine Learning Processor Architect with an early-stage start-up developing a unique new processor technology. Our client has offices in London and Oxford, however remote working is also possible. Here the Machine Learning Processor Architect will join as one of the early … and drive new architectural features for next generation hardware, and evaluate performance of cutting-edge AI workloads. The right candidate: This role of Machine Learning Processor Architect requires someone that understands the ins and outs of computer architecture, and the nuances of what it takes to optimize and trade … off various aspects of hardware-software co-design. Past experience working on performance architecture of GPUs/AI Accelerators is required, with experience with deep learning frameworks (such as PyTorch, Tensorflow). Our client is open to considering candidates at various levels of experience, provided they have the more »

We're working with an award-winning Cambridge company that develops deep learning software solutions for the life sciences. Come join an open-minded and collaborative R&D team as a Principal Java Engineer, as they design and develop their new platform. This role is what you make more »

PhD with 5+ years industry experience working on performance architecture of NPU/GPU/CPU/AI accelerators Software-hardware co-design work Deep learning frameworks, PyTorch, TensorFlow C/C++, Python Desirable MLOps, including model training, quantisiation, sparsity, model preprocessing etc. ML Compiler stack Verilog/ more »

development process. Requirements: - Strong experience in AI-led projects, preferably within the Defence/Security sector. - Proficiency in AI technologies, for example LLM's, deep learning and natural language processing. - Expertise in programming languages such as Python and Java with a focus on AI application development. - Familiarity with more »

Description 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 … 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 … numpy, pandas, sklearn). Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering. Strong analytical skills. Being a strong collaborator with colleagues outside of your immediate team, for example with client support teams or engineering. Being more »

Haiper is applying cutting-edge deep learning technology and is disrupting the graphics field with the power of generative AI. The current team consists of the top scientists and engineers from DeepMind, Google Brain, Meta, the distinguished research labs in academia, and top talent from across the world. … Java, Rust, or Go Expertise in database management and architecture, including relational databases (such as MySQL, PostgreSQL) and non-relational databases (such as MongoDB) Deep understanding and proven ability to design and implement distributed systems Proficient in using middleware such as message queues and caching systems to build high … foundation in computer software principles, with knowledge of Linux operating systems, storage solutions, and network I/O Proficient in containerisation technologies with a deep understanding of Kubernetes Familiarity with CI/CD tools and capable of utilising these tools to automate processes Knowledge of common open-source monitoring more »

the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »

the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »

the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »

the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »

the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »