50 Computer Vision Jobs with Hybrid or WFH Options

features and functionality across the AI stack - framework to applications Be exposed to cutting edge AI models in various domains such as Speech, NLP, computer vision Actively propose and prototype novel ideas/solutions considering real-world constraints Incorporate software engineering practices and be involved in software architecture … planning Develop and maintain knowledge of cutting-edge tools, techniques and frameworks for AI Required experience MSc or PhD in Computer Science, Mathematics or similar At least 3 years of industry experience working on deep learning models applied to embedded systems C++ programming TensorFlow, PyTorch Desired experience Java, Kotlin more »

experts in the field, and the opportunity to contribute significantly to the Machine Learning Team! This company use satellite imagery and AI, ML, and Computer Vision to help keep the merchant navies of the world safe from threats out in the ocean. They've refined their product where more »

in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with more »

or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. more »

frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. more »

frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. more »

frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. more »

libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration facilitation. Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

data, they empower landowners, businesses, governments, and communities to take informed actions for a sustainable future. Key Responsibilities: Develop practical deep learning applications for computer vision. Curate machine learning training datasets. Drive innovation by staying updated on the latest research and methodologies. Collaborate with ecologists to customize methodologies for more »

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. (It may be necessary more »

finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully more »

in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

with our development team, you'll be instrumental in packaging our software into containerized releases. Your projects will span Large Language Models (LLMs) and Computer Vision (CV), with a primary focus on extracting information from financial and business documents for subsequent processing. Operating within a compact machine learning more »

JOB DESCRIPTION – SALES DIRECTOR - SPORTS Videocites is a novel AI-based video tracking and analytics company. Comprising state of the art Machine Learning and Computer Vision technologies, our cloud-based SaaS platform is used by global companies in multiple industries: Media and Entertainment, Advertising, Sports and Homeland Security. more »

have a deep knowledge of Linux environments with a strong knowledge of multicore solutions paradigms (Pthread or OpenCL/Cuda) ideally with knowledge of computer vision libraries (OpenCV, OpenVX) and machine learning technology (TensorFlow, Caffe). The role requires interaction with clients and strong communication skills. The role more »

start-up in Spain that specialises in advancing image sensor technologies and integrated solutions, with a focus on driving the evolution of next-gen computer vision applications. Responsibilities will include but are not limited to the following: Design and optimise pixel circuits for imaging sensors and display technologies more »

We are hiring a Senior Computer Vision Engineer for an exciting AI start-up! Experience is required with Visual SLAM, Python, and C++ Hybrid working with 3 days every 14 days in Kings Cross London On offer is £70-100k + £20-30k equity % value Apply more »

Embedded Software Engineer with 4yrs + embedded software experience now needed in Bristol to work on a variety of projects in Computer Vision, AR/VR and IoT at all levels of the software stack (baremetal and low level linux drivers to user space applications and web apps more »

Experienced Senior Embedded Software Engineer with 4yrs+ embedded software experience now needed in Bristol to work on a variety of projects in Computer Vision, AR/VR and IoT at all levels of the software stack (baremetal and low level linux drivers to user space applications and web more »

reputable company, where you will be able to showcase your skills and work on a niche and interesting product. This company operates in the Computer Vision & Automation industry and are going from strength to strength. They are planning for the long term and want to bring on a more »

Quick Service Restaurant brands and retailers. Our mission is to change how our food is produced, for good. We do this by implementing our Computer Vision-based AI platform inside food and protein production plants. This platform allows cameras to “see, learn and act” like humans do. Our more »