501 to 525 of 957 TensorFlow Jobs in England

Snapshot The Gemini Global team’s mission is to be the forerunner in bringing AI technology to users and pushing the boundaries of what is possible in a scalable manner across 46+ languages. The sheer diversity of locales makes scalability More ❯

process image and 3D data. Your strong programming skills in Python and/or Modern C++ will be invaluable in this role. Experience with libraries such as OpenCV, Open3D, Tensorflow, PyTorch is a must. Above all, your ambition and hunger for growth and development will drive you to excel in this role. Masters in Machine Learning/Computer Vision … adjustment, SLAM), Geometry Processing (meshing, parameterisation, approximation), Computational Photography (image enhancement, denoising). Strong programming skills in Python and/or Modern C++. Experience with libraries such OpenCV, Open3D, Tensorflow, PyTorch. Ambition and a hunger for growth and development. Can provide examples of projects that demonstrate your skills. About the job Contract Type: FULL_TIME Specialism: Information Technology Focus More ❯

or physiological data Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection) Proficient in Python and ML frameworks such as PyTorch or TensorFlow Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485 Experience with MLOps practices and model versioning in … compliant environments Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration) Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX) Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR) Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks Seniority level Seniority level Not Applicable Employment More ❯

project requirements and design optimized AI solutions. Preprocess and analyze visual data using OpenCV, scikit-learn, and scipy to extract meaningful insights. Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy. Optimize AI models using OpenVINO for efficient inference on edge devices and cloud platforms. Implement data pipelines … roles. Strong proficiency in Python/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimization. Strong analytical and problem-solving skills with the ability to handle large-scale data. Experience working in Agile/ More ❯

and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong More ❯

and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong More ❯

propose innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross More ❯

strategy and architecture in a fast-moving environment 🔍 What We’re Looking For 2+ years' experience in applied Machine Learning Strong Python skills, with familiarity in libraries like PyTorch, TensorFlow, scikit-learn Experience deploying models into production environments Solid grasp of MLOps or data pipelines (e.g., MLflow, Airflow, or similar tools) Previous experience in a start-up or high More ❯

strategy and architecture in a fast-moving environment 🔍 What We’re Looking For 2+ years' experience in applied Machine Learning Strong Python skills, with familiarity in libraries like PyTorch, TensorFlow, scikit-learn Experience deploying models into production environments Solid grasp of MLOps or data pipelines (e.g., MLflow, Airflow, or similar tools) Previous experience in a start-up or high More ❯

eligibility to work in the UK without restrictions (no sponsorship available) Nice to have: Demonstrable experience with LLMs and strong understanding of AI/ML frameworks and familiarity with TensorFlow/PyTorch etc Degree educated in Computer Science/AI related subjects Previous experience in the Insurance industry Previous experience of working within Cyber Security environments Working knowledge of More ❯

re looking for: PhD (or equivalent experience) in a relevant discipline Deep knowledge of machine learning and statistical signal processing Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn Experience working with time-series, sensor, or RF data Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of More ❯

functions, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python Preferred Qualifications Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g. More ❯

Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation More ❯

Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ML to More ❯

Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ML to More ❯

machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation More ❯

open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

related to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps More ❯

experience in applied machine learning, research engineering, or software development. Strong foundation in ML, deep learning, and preferably reinforcement learning. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Keras, or JAX. Experience with version control (GitHub, GitLab), clean code practices, and CI/CD workflows. Comfort working in a fast-paced, collaborative, and research-driven environment. Nice More ❯

experience in applied machine learning, research engineering, or software development. Strong foundation in ML, deep learning, and preferably reinforcement learning. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Keras, or JAX. Experience with version control (GitHub, GitLab), clean code practices, and CI/CD workflows. Comfort working in a fast-paced, collaborative, and research-driven environment. Nice More ❯

and MVPs. Client Project Delivery: Support AI project delivery, collaborate across teams, and assist in client presentations. Coding & Implementation: Write and optimize AI code, deploy models using tools like TensorFlow, PyTorch, and cloud platforms. Data Management & Integration: Work with data teams to manage data pipelines, ensure data quality, and comply with data governance and privacy standards. Practise Building: Demonstrate More ❯

one. You’ll need to be both a scientist and an engineer: excited by innovation, and pragmatic about delivering impact! 🛠️ Key Technologies: Python and modern ML libraries (e.g. PyTorch, TensorFlow, JAX) AWS and cloud infrastructure for scalable training and inference ML ops tooling, model monitoring, and data pipelines Bonus: experience with LLMs & generative AI is a strong plus 🎯 What More ❯

in machine learning and/or statistical signal processing, particularly applied to time-series or sensor data. Extensive hands-on experience with Python, including key ML libraries such as TensorFlow, PyTorch, and scikit-learn. Proven ability to develop and deliver proof-of-concept systems or demonstrators. Experience leading research or development projects in multi-disciplinary environments. Preferred Expertise in More ❯

one. You’ll need to be both a scientist and an engineer: excited by innovation, and pragmatic about delivering impact! 🛠️ Key Technologies: Python and modern ML libraries (e.g. PyTorch, TensorFlow, JAX) AWS and cloud infrastructure for scalable training and inference ML ops tooling, model monitoring, and data pipelines Bonus: experience with LLMs & generative AI is a strong plus 🎯 What More ❯