201 to 225 of 408 Permanent Computer Vision Jobs

transform cutting-edge research into production-ready systems. Key Responsibilities Model Development: Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. Data Pipeline Engineering: Build and maintain robust data pipelines for feature extraction, transformation, and model training. Deployment & Monitoring: Implement models … Documentation & Compliance: Ensure proper documentation and adherence to data privacy and ethical AI standards. Required Skills & Qualifications Education: Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, or related field. Programming: Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn), and experience with SQL. ML Expertise: Solid understanding ...

that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect … strong technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow ...

research agenda, and ensuring the robust, scalable deployment of all novel algorithms into our production environment. What You Will Lead: Key Responsibilities 1. Technical Vision & Research Strategy Set the Technical Roadmap: Define the multi-year research and engineering roadmap for the AI platform, prioritizing projects that solve critical, high … Generative AI and Large Language Models (LLMs). Domain Breadth: Demonstrated expertise in at least two major AI domains (e.g., Deep Learning, NLP, Computer Vision). Impact: Proven track record of success in a client-facing or internal product-focused role, directly translating technical output into commercial results. ...

research agenda, and ensuring the robust, scalable deployment of all novel algorithms into our production environment. What You Will Lead: Key Responsibilities 1. Technical Vision & Research Strategy Set the Technical Roadmap: Define the multi-year research and engineering roadmap for the AI platform, prioritizing projects that solve critical, high … Generative AI and Large Language Models (LLMs). Domain Breadth: Demonstrated expertise in at least two major AI domains (e.g., Deep Learning, NLP, Computer Vision). Impact: Proven track record of success in a client-facing or internal product-focused role, directly translating technical output into commercial results. ...

Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures, RAG, prompt engineering, chatbots, classification, summarization … professional experience, including 3+ years in AI and data science with evidence of practical, real-world contributions. Master's degree (or higher) in Computer Science, Data Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying ...

complex technical concepts into practical, business-focused outcomes. Essential experience includes: Degree (BSc, MSc or PhD) in a quantitative or scientific discipline such as computer science, mathematics, physics or engineering Several years' experience working as a Data Scientist or in a closely related role Expert knowledge of machine learning … statistical methods, applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model ...

Description Build and deploy machine learning models and AI systems that solve complex business problems. Develop intelligent solutions including predictive analytics, natural language processing, computer vision, and recommendation engines. Key Responsibilities Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn Process … environments and monitor performance Research emerging AI techniques and implement state-of-the-art algorithms Required Skills & Qualifications Master's degree or PhD in Computer Science, Data Science, Mathematics, or related field preferred 3+ years of hands-on machine learning and AI development experience Strong programming skills in Python ...

developing AI/ML solutions using Python? Knowledge of frameworks such as PyTorch (preferred), TensorFlow, or Scikit-learn? Experience with NLP, deep learning, or computer vision? Familiarity with MLOps tools (Azure ML Pipelines, MLflow, Docker, Kubernetes)? Experience working with cloud platforms such as Azure ...

Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems. ...

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 ...

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 ...

class sensing with real-time AI.We're looking for a Staff AI/ML Engineer with deep expertise in robot policies, task planning, computer vision and decision-making under uncertainty . Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.You … e.g., expert and generalist policies , foundation models ), and help integrate relevant advancements into our workflows. Qualifications 5+ years of experience in AI, robotics, or computer vision. Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred. Knowledgeable in the areas ...

venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About … Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda ...

venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About … Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda ...

building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists … hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master's/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can collaborate with ...

building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists … hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can collaborate with ...

building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists … hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can collaborate with ...

engineering problems Experience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker) Strong data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic ...

work cross-functionally Bonus points for: LLM fine-tuning and frameworks like LangChain, Hugging Face or LlamaIndex Semantic search, recommendation engines, time-series or computer vision IaC tools like Terraform or CloudFormation Real-time inference, distributed training or large-scale optimisation Cloud or ML certifications What ...

equivalent machine learning framework Experience in one or more of the following languages - Python, C#, Java, C/C++ Bachelor's degree in computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field Preferred Experience developing and deploying sequence based Deep Learning models Experience … latest LLM technologies like GPT, Gemini, LLaMA etc. Experience in Computer Vision Strong desire to stay ahead of industry trends and technologies with a commitment to continuous learning Experience with Machine Learning Concepts - Training, Validation, Testing, Precision/Recall, Bias/Variance etc. Experience in extracting, cleansing ...

They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate … high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills with ...

They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate … high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills with ...

/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine ...