101 to 125 of 126 Deep Learning Jobs

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

level. You might be a graduate with a year or two of experience, a Python developer who has started moving into AI, a Machine Learning Engineer, or a Data Scientist with stronger engineering habits. They are not expecting someone to have ten years of LLM experience, because realistically very … learn quickly and work out the right way to use new technologies It would also be useful if you had experience with JavaScript, deep learning, LangChain, LlamaIndex, Azure OpenAI, OpenAI APIs or similar tools, but none of these are absolute requirements. This is probably best suited to someone ...

stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Senior AI Engineer (Python ...

level features at genome and transcriptome level. We’re a tight crew of builders and operations working at the cutting edge of healthcare reinforcement learning and agentic AI, and we’re looking for exceptional people to join us. If you want your skills to have the highest possible stakes … belong at Anima. Your work here will save lives. Period. Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving the "holy grail ...

actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems. The Role You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts. Key responsibilities include … Designing and implementing machine learning models for human attention, perception, and interaction.Running independent experiments, from hypothesis and data design through to evaluation and analysis.Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.Translating research ideas into practical prototypes with support from a small engineering ...

preprocessing to ensure high-quality inputs for ML models. Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies. Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors. Evaluation & Optimization: Define … establish automated monitoring systems to track drift and performance. Technical Requirements Core AI/ML: Strong experience in ML algorithms, LLM architectures, and deep learning frameworks. Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models. Engineering: Proficiency in Python and experience designing data pipelines ...

Fraud Operations Director in Fintech, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics … shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud ...

data collection and training pipelines through to robust, production-ready models operating in demanding environments. The role is ideal for someone who combines deep technical expertise with a hands-on approach to engineering and leadership. The Opportunity You will lead the design and evolution of the company … Agile environment Requirements Proven track record delivering ML or Computer Vision products into production at scale Strong expertise across modern Computer Vision techniques and deep learning architectures Excellent Python and C++ engineering skills Experience optimising training and inference pipelines for real-world deployment Strong systems and engineering mindset ...

project delivery, stakeholder engagement, and supporting the development of others. For those at **Consultant** level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression.We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates … 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 ...

monitor models in production — performance, availability, relevance → Lead A/B testing and offline experiments to drive continuous improvement → Evaluate emerging research in deep learning and GenAI for real-world integration What we're looking for: ✦ Full ML lifecycle experience — from development through to monitoring in prod ✦ Python ...

Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas. Key responsibilities include: Developing machine learning and computer vision models focused on human attention, perception, and intent Designing and running experiments independently across visual and spatial data Working with multimodal … academic venues while working on applied problems Your Skills and Experience PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent research output ...

standards, review critical work, and guide teammates. What We Would Like to See Significant experience (typically 5+ years) in ML engineering or applied machine learning roles, with clear ownership of production recommendation or personalisation systems that drove meaningful business outcomes. Strong hands‐on skills in Python and relevant …/deep learning frameworks (e.g. PyTorch, TensorFlow), plus solid software engineering practices (testing, version control, code review, CI/CD). Proven track record building recommendation systems, with practical experience in techniques such as collaborative filtering, content‐based methods, embedding models, sequence models, or graph‐based approaches. Experience ...

teams building real-world AI products as well as advancing core model research. We are looking for candidates with: A PhD in AI, machine learning, robotics, computer science, or a related technical field Research or engineering experience in vision, audio, language, robotics, multimodal systems, or deep learning … expertise Interest in joining high-growth startup environments Ability to move between research, experimentation, and production impact Typical roles include: AI Research Scientist Machine Learning Engineer Applied AI Engineer Computer Vision Researcher Speech/Audio AI Researcher NLP/LLM Researcher Robotics Researcher/Engineer Multimodal AI Scientist ...

.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 ...

Level etc). Skilled in building computer vision solutions, with a focus on object detection and motion tracking. Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models. Ideally you'll have experience with tracking methods, including the use of Kalman filters. Aware of traditional … status. Keywords: Computer Vision Engineer/Machine Vision Engineer/Imaging Scientist/AI Engineer/Vision Systems Developer/Image Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm ...

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. ...

GEM5 (O3 model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis. Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics. Strong programming skills in languages such as C++ and Python. Experience with frameworks like … Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development #J-18808-Ljbffr ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through … generation simulation and design tools used by industry‐leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to architect the Agentic stack within this wider ecosystem. You will build ...

that directly impacts company growth What We’re Looking For Recent graduate or 1-2 years of professional experience Genuine curiosity about AI, machine learning, and enterprise technology Strong technical aptitude – you can understand complex systems and explain them simply Excellent communication skills and commercial awareness Resilience, coachability … competitive drive Able to work onsite 5 days a week Eligible to work in the UK Why This Role Stands Out Deep Learning Curve : Five days on-site in our Newbury office means direct access to mentors, technical experts, and leadership. You’ll learn faster than you would ...

that directly impacts company growth What We’re Looking For Recent graduate or 1-2 years of professional experience Genuine curiosity about AI, machine learning, and enterprise technology Strong technical aptitude – you can understand complex systems and explain them simply Excellent communication skills and commercial awareness Resilience, coachability … competitive drive Able to work onsite 5 days a week Eligible to work in the UK Why This Role Stands Out Deep Learning Curve : Five days on-site in our Newbury office means direct access to mentors, technical experts, and leadership. You’ll learn faster than you would ...

candidates: Hire and mentor a small team of exceptional engineers and researchers Qualifications You've written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made deliberate … what makes variation operators work on hard combinatorial problems You're familiar with new or esoteric technical methods such as Neural Algorithmic Reasoning, Geometric Deep Learning, Category Theory, Neuroevolution, Megakernels, or the work of François Chollet, Kenneth Stanley, Jeff Clune, Jurgen Schmidhuber, David Ha, and Christian Szegedy Bonus ...

conducting experiments, collaborating with top-tier academic partners, and publishing research findings. Candidates should have a PhD in a relevant field and experience with deep learning frameworks. The position offers competitive benefits and a hybrid work model, fostering a collaborative environment for impactful AI solutions. #J-18808-Ljbffr ...

organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands-on experience … Python, SQL, No SQL. Experience in Developing Machine Learning/Data Science models, from coding to deployment. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Familiarity working with large data sets. ...