61 to 85 of 155 Deep Learning Jobs

evolving AI and ML. On a daily basis you will be working with clients to implement large language models, deploying end-to-end Machine Learning pipelines, or carrying out training and certifications to further develop your skills within emerging technologies. Generally your responsibilities will include: Building Machine Learning … a challenging environment on cutting-edge projects. From a technical perspective you should have experience with the following: Generative AI & LLM's Azure Machine Learning Python Deep Learning Frameworks Deployment options for Machine Learning CI/CD pipelines Agile methodology If you are interested in applying more »

evolving AI and ML. On a daily basis you will be working with clients to implement large language models, deploying end-to-end Machine Learning pipelines, or carrying out training and certifications to further develop your skills within emerging technologies. Generally your responsibilities will include: Building Machine Learning … a challenging environment on cutting-edge projects. From a technical perspective you should have experience with the following: Generative AI & LLM's Azure Machine Learning Python Deep Learning Frameworks Deployment options for Machine Learning CI/CD pipelines Agile methodology If you are interested in applying more »

evolving AI and ML. On a daily basis you will be working with clients to implement large language models, deploying end-to-end Machine Learning pipelines, or carrying out training and certifications to further develop your skills within emerging technologies. Generally your responsibilities will include: Building Machine Learning … a challenging environment on cutting-edge projects. From a technical perspective you should have experience with the following: Generative AI & LLM's Azure Machine Learning Python Deep Learning Frameworks Deployment options for Machine Learning CI/CD pipelines Agile methodology If you are interested in applying more »

Outside IR35 Contractor - Machine Learning Data Engineer - Are you an experience ML Data Engineer contractor who can hit the ground running? Job Title – Machine Learning Data Engineer Day Rate – Market Rates Location – London/Remote (ad hoc travel for meetings) Duration – 6 months (potential extension to 9 months … Industry – FinTech/Banking Role responsibilities: Design the data pipelines and engineering infrastructure to support machine learning system at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and reliability machine learning system. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the more »

work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Key responsibilities: Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing … reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay … current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Skills & Experience Proven experience in Data Science and Machine Learning, combining excellent academic research with significant commercial impact. Demonstrated ability to deliver data science projects in production environments more »

interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative … strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI more »

the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals. This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. Responsibilities … setting, ideally for NER/Document understanding, etc. Hugging Face a bonus. Experience working with transformers-based models such as BERT, GPT, etc. Extensive Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks more »

Spanish speaking is a bonus) Job Description: As a Neural Network Engineer, you will play a crucial role in developing and implementing advanced machine learning algorithms and neural network models to enhance our software platform and client projects. Key Responsibilities: Develop and implement machine learning algorithms and neural … scalability, efficiency, and integration with our software platform "repcon." Write clean, efficient, and well-documented code to support the development and deployment of machine learning models. Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality results. Stay updated on the latest advancements in machine learning … projects. Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner. Required Skills: Proficiency in Python or C++ for programming machine learning algorithms and neural networks. Strong understanding of machine learning concepts, algorithms, and techniques. Experience with language models such as GPT, BERT, or Transformer. more »

Senior NLP Machine Learning Engineer London office x1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong … FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them through applied Machine Learning. … throughout the business YOUR SKILLS & EXPERIENCE Degree in a STEM subject Min. 4 years commercial experience in NLP/Transformers & ML Excellent experience with Deep Learning models Strong production ready coding skills in Python Strong experience in fine-tuning Large Language Models End-to-end DS experience from more »

Machine Learning Engineer This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance … analytics. If you're a detail-oriented innovator and team player, we're excited to hear from you. Responsibilities for the role of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging … employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring best practices in software development and CI/CD pipelines. As the selected Machine Learning Engineer, your background will include: A minimum of two years industry experience in machine and deep learning development. Familiarity with cloud computing more »

Machine Learning Engineer – Social Network – Remote UK - £80k Be a Part of Something Revolutionary We're a collaborative and ambitious team building a groundbreaking new social network. As a Machine Learning Engineer, you'll play a key role in shaping its future. What You'll Do: Develop and … more. You're a Perfect Fit If: You're a recommender systems specialist with proven experience in deploying them at scale. You possess a deep understanding of recommender systems, including recent advancements. You have 3+ years of experience in ML engineering, data engineering, DevOps, or MLOps. You're passionate … about AI/Deep Learning and its real-world applications. You thrive in collaborative environments and excel at communication. You're a problem-solver with an algorithmic mindset. Bonus Points for: Experience in Big Tech, SaaS, E-commerce, or Ad Networks. Knowledge of graph data structures, path-finding more »

are on a mission to redefine the landscape of Perceptual Foundation Models. We are assembling a team of the brightest minds in the machine learning domain, and we invite you to be a part of this transformative journey. Position Overview: We are looking for highly skilled and motivated Machine … Learning Engineers/Scientists with a specialized focus on GPU acceleration. In this role, you will be responsible for designing, implementing, and optimizing large machine learning models to leverage GPU capabilities for enhanced performance and scalability. Haiper will equip you with the best computational resources to advance our … Perceptual Foundation Models learning endeavors. Key Responsibilities: Develop and optimize machine learning models to harness the power of GPUs for accelerated training and inference, ensuring efficient utilization of GPU resources Identify and implement optimization techniques to maximize GPU performance and reduce training time Collaborate with cross-functional teams more »

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using more »

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

Machine Learning Engineer - Computer Vision Contract Type: Contract Pay Rate: up to £80 per hour Inside IR35 Location: Staines-upon-Thames, UK Hybrid Policy: 3 days a week onsite and 2 days working from home if preferred. I am working with one of the biggest manufacturers of electronics worldwide … engineer will participate in real-world operational environments, tackling industry challenges by enhancing AI-driven content processes, developing advanced software for computer vision and deep learning, and leading technical project segments to translate intricate requirements effectively. Essential Skills and Qualifications: Master's degree in computer science/Engineering. more »

/2024, 17:27 Locations LONDON, LONDON, United Kingdom Job Schedule Full time JOB DESCRIPTION The Applied Innovation of AI team, a premier machine learning group within the Chief Technology Officer's office at JP Morgan Chase, addresses business critical priorities using innovative machine learning techniques. We collaborate … As a Lead Software Engineer at JPMorgan Chase within the Applied Innovation of AI (AI2) team, you will be part of an elite machine learning group strategically located within the CTO office. Your role will involve collaborating with data scientists and research/machine learning engineers to deliver … to work with cutting-edge technologies and make a significant impact on our business. Job responsibilities Collaborate with data scientists and research/machine learning engineers to deliver products to production. Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation). Build more »

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using more »

and validating product hypotheses Experience in collaborating with engineers and designers as part of remote or co-located teams Fundamental understanding of AI, machine learning and deep learning Excellent communication skills and presentation skills Ability to work collaboratively and navigate complex decision making in a rapidly changing more »