76 to 100 of 145 Computer Vision Jobs

Agentic & Edge AI: You will lead the design of autonomous agents that run on our edge devices, using domain knowledge in log analysis and computer vision. Systems & Hardware: You will be the "hardware-aware" expert, bridging our ML software with our silicon team to ensure our models are hyper … Development: Design and development of autonomous agents that operate on our resource-constrained edge devices. Integrate deep domain knowledge, including real-time log analysis, computer vision, and interaction with open-source system tools. Security & Optimization: Define and implement the complete security and verification framework for our edge models. ...

impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor’s/Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering … experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements ...

deployment and monitoring. Build scalable MLOps pipelines, ensuring automation, reliability, and efficient deployment across cloud and on-premise environments. Apply AI technologies including Computer Vision, Predictive Analytics, Deep Learning, and LLMs to solve complex business challenges. Work with stakeholders to deliver high-impact solutions in mission-critical, high ...

inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with ...

inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with ...

inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with ...

guide junior ML engineers, sharing best practices and reviewing their work. Present technical findings, progress, and recommendations to stakeholders and leadership. Requirements MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. Proficiency in Python and C++ with a proven track record of delivering …/DL exposure is highly desirable. Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit‐learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/ ...

that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. Proven experience in a senior MLOps … hands-on technical work Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads Experience with GPU infrastructure, distributed training or high-performance compute environments Familiarity with ...

SpAItial is pioneering the next generation World Models , pushing the boundaries of generative AI, computer vision, and simulation. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics ...

thinking combined with the ability to remain hands‐on when required. What’s involved: You’ll define and own the enterprise AI engineering strategy, vision, and solution design standards across both custom‐built and integrated AI solutions. You’ll evaluate, select, and adopt emerging AI technologies, balancing in‐house … native deployment strategies. Demonstrated leadership in AI Ops/including monitoring, governance, and operational resilience. Broad understanding of adjacent AI disciplines such as NLP, Computer Vision, and data engineering. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes ...

particularly in Python Experience with machine learning and AI, including LLMs or related technologies Knowledge of areas such as RAG architectures, agent-based AI, computer vision, or audio processing Experience working with cloud platforms (AWS or Azure preferred) Familiarity with Docker, Linux/Unix environments, Git, and testing ...

particularly in Python Experience with machine learning and AI, including LLMs or related technologies Knowledge of areas such as RAG architectures, agent-based AI, computer vision, or audio processing Experience working with cloud platforms (AWS or Azure preferred) Familiarity with Docker, Linux/Unix environments, Git, and testing ...

Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively ...

Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively ...

Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively ...

What We’re Looking For: Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability … Industry settings Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency ...

with an entrepreneurial mindset in a fast‐paced, high‐impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands‐on experience in ML engineering, with a proven track record of shipping production … systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi‐threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information … 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 on Python, SQL, No SQL. Experience in Developing Machine Learning ...

description Robotic Vision Application Software Engineer About the Role We are seeking a driven Software Engineer to help pioneer new developments in robotic vision and controls technology- a strong proficiency in C++17 development is essential. In this position, you'll focus on architecting, building, and validating PC-based … software solutions for various robotic vision applications, working across a spectrum from experimental prototypes to refined production ready product releases. This is not a work from home role and requires office based attendance. Responsibilities Work closely with a small multi disciplinary team as the software lead to outline technical ...

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 TensorFlow ...

engineers and researchers, helping to build capability within a growing team. Your background: PhD in a relevant discipline (e.g. AI, machine learning, data science, computer science, or related field) Significant experience (~10+ years) applying AI/ML within research or industry environments Proven experience leading or contributing … engage both technical and non‐technical stakeholders Desired experience in one or more of the following areas: AI/ML for imagery and computer vision , including remote sensing Reinforcement learning Natural language processing and large language models Knowledge graphs and graph‐based neural networks AI applied ...

looking for a Senior Machine Learning Scientist to join the Corporate Research department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI‐driven automation for next‐generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical … process engineering and product teams to translate user needs into robust, production‐grade AI and automation capabilities. Qualifications Master’s or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines. Experience with LLMs (e.g., GPT, LLaMA) and VLMs (e.g., CLIP, Flamingo) applied to perception, workflow ...

engineering and deployment Tech Focus Python, Docker, Linux, Git AWS or Azure CI/CD and MLOps pipelines Exposure to RAG, computer vision, or multimodal AI Why Apply? Work on next-generation AI use cases Strong focus on innovation and career progression Opportunity to lead and shape technical ...

cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would ...

ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills – with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other … probabilistic methods for PDEs; geometric deep learning or other 3D computer vision methods for point‐cloud or mesh‐structured data; generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non‐parametric, scaling to large datasets, etc.). Ideally, >4 years of experience in a data‐driven ...