8 of 8 Permanent Computer Vision Jobs in Berkshire

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote More ❯

expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such More ❯

/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph More ❯

Skills and Experience: Extensive experience as a full-stack developer, proficient in multiple languages and technologies AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. 3D modelling/unity and visualisation skills and experience (a nice to have but not essential) Confidence in working with AWS or More ❯

Skills and Experience: Extensive experience as a full-stack developer, proficient in multiple languages and technologies AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. 3D modelling/unity and visualisation skills and experience (a nice to have but not essential) Confidence in working with AWS or More ❯

Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled … human-aware behaviors. Validate the perception stack in simulation and mock physical environments. We’re Looking For: 5+ years in perception for robotics or autonomous systems. Strong experience in computer vision, human pose estimation, and intent prediction. Knowledge of safety-related perception standards. Proficiency with machine learning frameworks (PyTorch/TensorFlow). Experience integrating perception into real-time More ❯

for Lead Software Engineer: + Have held a leading software engineer role for a number of years + Proficiency with scripting languages like Python + Proficiency in C++ and Computer Vision + Experience developing control mechanisms for automation + Experience with embedded software development (microcontrollers etc.) Desirable skills: + Experience designing low power automated systems + AWS knowledge More ❯

Construction Solutions Manager – Construction Technology (UK/Global Projects) We’re partnering with a fast-growing construction technology company that is transforming project management through AI and computer vision. Their platform automates on-site progress tracking, helping construction teams plan smarter, improve efficiency, and cut costly delays by up to 50%. Already deployed on hundreds of projects globally More ❯