1 to 25 of 213 Deep Learning Jobs

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in … a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation … experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks More ❯

generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics … Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in … a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve … complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments … model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve … complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments … model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve … complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments … model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve … complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments … model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve … complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments … model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch More ❯

hardware. Candidate Profile Essential: Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics … skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities, machine learning for molecules and proteins (ideally with some background in chemistry and biological sciences) . Lower … level programming for hardware efficiency, e.g. C CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution. Experience submitting papers to international scientific conferences or More ❯

serving customers in over 160 countries. Location: Euclid - 22801 Employment Status: Salary Full-Time Function: Engineering Req ID: 26915 Summary Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning … play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain. Training and Evaluation : Train models on large datasets, evaluate their performance … and efficient. Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services. Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications. Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow More ❯

Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation More ❯

Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement machine learning models and algorithms to solve specific business problems. Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering … model training, evaluation, and deployment. Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions. Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems. Evaluate … iterate on models to improve accuracy, efficiency, and scalability. Monitor and maintain deployed models, ensuring their reliability and performance in production environments. Troubleshoot and resolve issues related to machine learning models and pipelines. Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields. Contribute to the development of best practices More ❯

Aufgaben Your tasks You will Analyze multi-modal single cell data, including spatial omics and high-plex images to identify clinically relevant biological signals. Develop and apply novel machine learning and deep learning methods, particularly in genomics and computer vision. Contribute to a prestigious research program with a clear and impactful mission. Collaborate within a dynamic, multi … or related fields Background in molecular and cancer biology Experience in genomics, bioimage and/or spatial tissue analysis Solid understanding of statistics and mathematical principles Experience in machine learning and deep learning, ideally computer vision Skills in maintaining and creating code repositories (e.g., GitHub) Programming languages such as R and Python Proficiency in deep learning More ❯

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

drive meaningful outcomes for our customers. You will collaborate with cross-functional teams to identify opportunities for automation, optimization, and innovation. This role requires a strong foundation in machine learning, deep learning, and data science, as well as a passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and … deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance. Research & Innovation: Stay current … that all AI solutions adhere to ethical guidelines, data privacy standards, and regulatory requirements. Qualifications Required Qualifications Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience in developing and deploying AI/ML models in a production environment. Proficiency in programming languages such as Python, Java, or C++. Experience More ❯

Develop, maintain, test, and review code for software libraries and tools used in training, visualizing, and deploying neural networks on Lightmatter hardware accelerators. Adapt standard machine learning methods to best leverage the modern heterogeneous computing environment which includes our revolutionary computing chips. Work closely with Machine Learning Scientists to develop and productize novel machine learning algorithms for … team to understand real world customer scenarios and provide guidance on model architecture and implementations that take advantage of our hardware. Understand, analyze, and exploit the interplay between machine learning accelerator software and hardware, including data preprocessing, streaming, batching, quantization, adaptors, and distributed workloads for Large Language Model (LLMs.) Create Lightmatter-specific tools that can interoperate between Machine Learning ML frameworks. Minimum Requirements Masters degree in Computer Science, Machine Learning, or related discipline, or foreign degree equivalent, plus four (4) years of experience in production software engineering. The experience (which may be gained concurrently) must also include: 4 years of experience in Python and C++, including software architecture and development in a multi-team project; 3 years More ❯

At AWS AI our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron SDK consists of a compiler, runtime, frameworks, and tooling customers need. It's also preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training. This position is for a Software … Engineer for the AWS Neuron SDK team with a deep background in Linux and device drivers. Deep knowledge and experience with hardware-based accelerator platforms (such as encryption, TCP offload, storage accelerators and router/switch platforms) and the necessary complexity for the software layers that interact and manage them. Experience implementing high performance software drivers, needed to More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track … record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track … record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track … record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track … record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track … record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community More ❯

Job Title: Machine Learning Engineer AI/ML Maestro Location: Colorado Springs, CO Huntsville, AL This position is open for a Senior AI/ML Engineer specializing in reinforcement learning (RL) and defense-related modeling and simulation. Candidates must meet the general requirements below to be considered. Additional qualifications for senior-level applicants are listed throughout the description. … Who You Are: You wield artificial intelligence like a six-shooter, deploying machine learning algorithms with the precision of a marksman. You're a problem solver who doesn't flinch at complex military simulations, integrating AI with DoD frameworks to provide decision-makers with real-time insights. With a sharp mind for AI/ML and a deep … and unleash your full potential. Join us if you're ready to make a real impact and redefine the future. What You'll Do: Design, develop, and integrate machine learning models into defense simulations and real-world decision-making systems. Apply a broad range of AI/ML techniques, including supervised learning, unsupervised learning, and deep More ❯

experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings … deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative … PhD or 5+ years of experience of applied research experience with a Masters' degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields. - 2. Should be an expert in either Computer Vision or NLP and have a good understanding of the both. - 3. Strong More ❯

WHAT YOU CAN EXPECT We at trinamiX have developed a novel 3D imaging system to improve the security of biometric face authentication, even behind OLED displays. We use deep convolutional neural networks to distinguish human faces from spoof attacks. Our customers are major players in the smartphone, automotive and other industries. As part of our Data Science Team, you … will design, train, evaluate and deploy deep convolutional neural networks for spoof detection in face authentication systems. Furthermore, you will conduct research on cutting edge deep learning architectures and training paradigms as well as develop new algorithms to advance the solution. You will strategize data acquisition campaigns and conduct exploratory data analysis to train models that meet … WHAT YOU OFFER M.Sc. or Ph.D. degree in Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning More ❯

new product in house. You will lead the scaling and build out of the key product, applying it to new business siutations using a combination of AI and machine learning techniques. You will leverage your expertise in product management and leadership skills to guide and mentor your team, ensuring the successful implementation and continuous improvement of these strategies. Careers … it takes to succeed in your role, as well as providing development for other roles you may be interested in. Required Qualifications PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field, or a Master's degree combined with significant industry experience Experience leading deep learning teams in a corporate setting, driving AI strategies, and delivering … business impact Proficiency in AI/ML and deep learning frameworks such as PyTorch Proven knowledge of deep learning, AI and ML architectures Expert ability to identify business objectives and fashion analytic solutions around these objectives Preferred Qualifications Appreciation of ethical and regulatory considerations in data science and willingness to apply them in practice Soft Skills More ❯