51 to 75 of 97 Deep Learning Jobs

funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. … down complex projects into actionable tasks. Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source ...

Skills, Experience, and Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine-tuning large-scale models . Familiarity with cloud platforms ...

such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring … continuous improvement lifecycles. Experience developing and integrating APIs, particularly for serving machine learning models. Experience building enterprise-integrated solutions that deliver end-to-end capabilities and the ability to recommend appropriate architectural approaches based on use case requirements. To apply for this role please submit your CV or contact ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs … Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. … Models. 3D point cloud & mesh generation. Real-time vision applications, Virtual and Augmented Reality. Lighting condition analysis. Image and video analysis and understanding. Machine learning including state of the art deep learning applications : Generative Adversarial Networks, Object Detection, Semantic/Instance Segmentation, Natural Language Processing (NLP). ...

coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack … Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building ...

Neural Radiance Field Models.3D point cloud & mesh generation.Real-time vision applications, Virtual and Augmented Reality. Lighting condition analysis.Image and video analysis and understanding.Machine learning including state of the art deep learning applications: Generative Adversarial Networks, Object Detection, Semantic/Instance Segmentation, Natural Language Processing (NLP). Computer ...

just building software - we're transforming how millions of educators and learners interact with educational content and resources worldwide. By creating adaptable, comprehensive learning tools, we're breaking down educational barriers. We believe in empowering the next generation with the skills and resources they need to succeed, no matter … their geographic or economic background. We’re not just sharing resources; we're building a global learning community. As we scale our platform to serve parents, teachers, and students across the globe, we're seeking an exceptional Senior Product Manager to help drive our technical evolution. The Senior Product ...

Master’s in Computer Science, Mathematics or related field Strong computer vision expertise and experience fine-tuning state-of-the-art models Deep learning experience (e.g. PyTorch , CUDA, model optimisation for training and inference) Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring) Solid understanding ...

models outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation. Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms ...

team (currently 5, including 2 senior members), helping to shape technical direction while mentoring more junior colleagues. Key responsibilities include: Building and optimising machine learning and LLM-based models Fine-tuning and deploying models within production environments Working on conversational AI systems, including NLP and data interaction layers Collaborating … solve complex, real-world problems Supporting the evolution of products tailored to financial and trading use cases Your Skills & Experience Strong Python and machine learning fundamentals Solid grounding in mathematics and statistics Experience with LLMs, NLP, or deep learning models Exposure to fine-tuning, model optimisation ...

existing enterprise technology ecosystems. You will work with senior stakeholders to define AI architecture strategies and deliver scalable solutions that leverage Generative AI, machine learning and cloud-based data platforms. The role will involve leading the design and implementation of end-to-end AI architectures while supporting organisations through … senior stakeholder vision into AI/ML/Generative AI architecture strategies and implementation roadmaps Design and implement end-to-end AI and machine learning architectures Evaluate and recommend appropriate AI/ML use cases for enterprise-scale deployment Select appropriate cloud technologies and AI platforms based on scalability ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such … Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable assets, solutions ...

within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience … Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding ...

technical vision for complex AI programmes, owning key architectural and delivery decisions. Lead the design and deployment of scalable, production-grade machine learning systems. Turn problems into clear technical strategies and end-to-end delivery plans. Act as a senior technical advisor to clients, aligning AI solutions with commercial … goals. Mentor and develop team members, strengthening technical and leadership capability. What were looking for in a Lead Data Scientist: Deep expertise in at least one machine learning domain, with broad knowledge across data science, including Python programming and experience with deep learning frameworks (e.g., PyTorch ...

technical vision for complex AI programmes, owning key architectural and delivery decisions. Lead the design and deployment of scalable, production-grade machine learning systems. Turn problems into clear technical strategies and end-to-end delivery plans. Act as a senior technical advisor to clients, aligning AI solutions with commercial … goals. Mentor and develop team members, strengthening technical and leadership capability. What were looking for in a Lead Data Scientist: Deep expertise in at least one machine learning domain, with broad knowledge across data science, including Python programming and experience with deep learning frameworks (e.g., PyTorch ...

Years Experience Hey future innovator We're on the hunt for a Data Scientist who's obsessed with solving real-world problems using Deep Learning . If you've got 1-4 years of experience, right to work in EU or visa support on offer, and a passion ...

.000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … management, guiding technical teams, driving multiple strategic initiatives autonomously. Strong analytical problem-solving capabilities, excellent composure and decision-making skills under pressure and ambiguity. Deep, up-to-date, hands-on knowledge of designing and deploying AI-first architectures and secure API integrations across multi-cloud solutions (especially Microsoft Azures ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands‐on experience in customer behaviour analytics, marketing, commercial … communicate complex ideas clearly to senior client stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...

seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal … ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's Proven record of publications ...

professional environment via LLM/VLM reasoning and planning systems Educational experience highly preferred (PHD, Masters etc) in a relevant area Python or other deep learning frameworks Bonus if you have worked on agents interacting with real product environments London area based Salary - 140-160k base salary ...

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. ...

Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn ...

Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn ...