101 to 119 of 119 Permanent Deep Learning Jobs

Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the practical use of generative models. Skilled in Python, with a willingness to adapt to other programming … languages and tools as needed. Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies. more »

this job is for you. You will be working within the computational team, under the guidance of the Lead Data Scientist, to develop machine learning models for understanding the fundamental rules in plant genetics. Successful projects will be highly scalable and automated across a wide range of species, and … all the while having the opportunity to contribute to improving both the AI model and the laboratory processes. You will: ● Implement and test machine learning models ● Design innovative solutions for improving performance ● Maintain and contribute to the CRE.AI.TIVE TM platform ● Deploy jobs on both the cloud and our on … practices ● Experience coding in a team using git version control and writing tests ● Familiarity with the Linux operating system ● Fluent in the core machine learning concepts, as well as training and optimising neural network models ● The ability to communicate complex ideas across a multidisciplinary team You get extra points more »

InstaDeep is looking for a Research Scientist to join our team working at the intersection of machine learning (ML) and cryo-electron microscopy and tomography (Cryo-EM/ET). The determination and study of 3D molecular structures can offer fundamental insights into the mechanisms that govern most cellular … ET are powerful tools for determining high-resolution structures of biomolecules in near native state. As these imaging techniques generate significant raw data, machine learning has great potential to accelerate and improve many stages of the processing pipeline; from particle picking and annotation, to reconstruction of 3D electron density … to work in the location you are applying for. Responsibilities: Collaborate within in-house and external experts in computational and structural biology, and machine-learning, to implement, develop and test new technologies. Use established tools and databases to build, explore and analyse biological datasets and systems Contribute to the more »

in Computer Science, Engineering, or similar experienceDesirable:Experience working in a project-based (“matrix”) operating environmentStrong knowledge of state of the art Computer Vision Deep Learning on tasks such as object detection, semantic segmentation, scene/object understanding, etc.Experience developing machine learning solutions for Autonomous Vehicles.Experience generating … you the chance to make a huge impactCompetitive compensation and benefitsA dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities tooA culture that is ego … all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and more »

LondonApplied Science/Full time/HybridUnlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. Based in London … will play a key role in delivering products, starting with literature review, creating proof of concepts using cutting-edge technology including the latest Machine Learning techniques, collaborating with colleagues to implement and test your ideas, and helping deliver your solutions to production.The role is not limited to a specific … software that is built and deployed in production systemsCommunicate complex solutions to colleaguesAnalyse & inspect large scale datasetsRequired:5+ years of hands-on experience in deep learning with 2 + years of experience managing technical teams.Demonstrable project planning experience and leading on this within a fast-growing, deeply technical 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 »

Models. -High level programming skills in languages such as Java, C/C++, R & Python. -Knowledge and experience of SOA NLP APIs & ML/Deep Learning frameworks. -Experience translating user requirements into workflow designs/specifications. -Skilled in constructing and refining data processing pipelines including workflow management technologies more »

an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver … organization through technical leadership.Demonstrated experience in recruiting and managing technical teams, including performance management.Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.Technical experience in leading … teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepLocationsWarning noticeYour browser doesn't support mapbox-gl more »

high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be a fit! About Bench We’re on a mission to build the … new technologies and operate in highly unpredictable settings. Proven ability to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deep learning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a more »

equity markets, volatility modeling, and derivative instruments. Strong Programming skills e.g. R, Python, SAS, SQL or other languages Plus: Experience using applied ML/Deep Learning packages more »

and structure-from-motion/SLAM · Experience with robotics, high-performance real-time computer vision applications · Motion capture and human modelling · Experience of using deep learning for computer vision problems · Experience of other sensing modalities such as IMU more »

platforms, for both basic biology as well as important biomedical applications (drug discovery, cell-based therapeutics); 4) developing new single-molecule imaging and machine learning technologies for in situ structural biology - to enable for the first time high-resolution structural studies inside cells. Requirements: Desire to tackle outstanding challenges …/SPIM approaches, Adaptive Optics, etc.), as well as cryogenics and UHV technologies is preferred but not required. Strong computational skills (e.g. computer vision, deep learning) is a plus. Individuals with additional working knowledge in areas of biochemistry, molecular, cell and developmental biology and/or genetics are more »

Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/ more »

track the trees that they plant and ensure the local farmers are paid fairly via their sales platform, which is decentralised. The product includes deep learning AI models and runs in a hybrid cloud environment, predominantly in Azure but also with some AWS features. Seeking a hands-on more »

on data standardization, data contextualization, Unified name spacing, and data consolidation for IIoT implementations. Must have good understanding and exposure around AI and Latest Deep learning models around Predictive and preventive Asset Maintenance/monitoring in OT space specifically for utility area. Experience in deployment of security controls more »

indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications. Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure detailed deployment. Stay on top of emerging trends, sophisticated patterns, dependencies in data, and … partners - Azure, AWS, GCP Hands-on programming skill in at least one language node.js . Expert on Cloud competencies on " Artificial Intelligence " and " Machine Learning " PaaS components: Contextual Conversation design - for personalized and humanized interaction with end user for complex business cases: Microsoft BOT service Google DialogFlow EX, Amazon … Direct line Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes Azure/AWS/GCP certifications in Machine Learning & AI : Microsoft DP 100, AI 102 AWS Machine Learning Specialty Google Certified Cloud Machine Learning Engineer Deeplearning.ai certifications on LLMs, prompt engineering more »

within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural network training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using … MS Office suite (Excel, PowerPoint & Word). Desirable: Familiarity tools related to machine learning operations. Experience with AWS Knowledge of Reinforcement Learning techniques. Unfortunately sponsorship is not provided for this role If you are interested please apply here or reach out to Morgan.beck@xcede.com more »

headquartered in Redwood City, CA, Liftoff has a diverse, global presence.About the team:The Conversion ML team is responsible for improving and maintaining machine learning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. The team collaborates closely with other ML-oriented teams at … Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.Location:This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or Germany. ML Engineers located in Paris will be asked …/Ooyala/etc).Requirements: Very strong coding ability (experience in Go or Clojure is a plus).4+ years of industry experience applying Machine Learning to large scale problems.Strong core CS fundamentals (data structures, algorithms, architecting systems).A passion for quality and excellence, and the ability to temper it more »

of some of the largest companies in the world. Our company is made up of passionate people with expertise ranging from oil refining to deep learning. Between us we’ve run Amazon’s European supply chain, built JustEat’s corporate meal delivery platform, and monitored industrial emissions with satellites … CarbonChainer’s receive a ton of great benefits, including: 26 days of annual leave Home office set up allowance of £500 £2,000 annual learning allowance Team lunches once a week in the office Subsidized gym classes, office gym, and cycle to work scheme. Generous parental leave policy Private more »