276 to 300 of 841 TensorFlow Jobs in the UK excluding London

experience with Large Models (GPT, BERT, etc.) Strong understanding of Generative AI concepts and applications Proficiency in prompt engineering techniques Advanced Python programming skills Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) Familiarity with cloud-based AI services (AWS, Azure, or GCP) Knowledge of software engineering best practices including Git, CI/CD, and testing Overall knowledge of the More ❯

and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong More ❯

or statistics, with software engineering skills, understanding of MLOps practices and experience in managing data science projects. Proficiency in handling large datasets and using tools such as Apache Spark, TensorFlow, PyTorch, Azure. Experience with Generative AI technologies such as GPT-3 and other LLMs and MLOps tools such as MLflow. Advanced Python skills and knowledge of machine learning frameworks. More ❯

a related field (Master’s preferred). 1+ year(s) of experience in AI, machine learning, or data science. Proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn . Strong understanding of data analysis , feature engineering , and model evaluation techniques, particularly with retail and consumer-facing data. Passion for AI and the retail More ❯

bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their More ❯

follow principles of security, scalability and high availability. Very strong technical background leading application development – with experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About Datalex Datalex's More ❯

representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j More ❯

developers. You will have a strong record of securing funding for and delivering innovative R&D. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph More ❯

Demonstrable industry experience Data Science/Machine Learning in one or more of: Anomaly detection Excellent skills in Python and S QL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using More ❯

Demonstrable industry experience Data Science/Machine Learning in one or more of: Anomaly detection Excellent skills in Python and S QL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using More ❯

Demonstrable industry experience Data Science/Machine Learning in one or more of: Anomaly detection Excellent skills in Python and S QL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using More ❯

or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯

infrastructure Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or More ❯

or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯

infrastructure Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or More ❯

Job Type: Permanent Build a brilliant future with Hiscox Position: Data Scientist Reporting to: Head of Data Science Location: York or Manchester Type: Permanent Band: II The technology team for Hiscox UK is an integral part of the business and More ❯

Lead Data Scientist - ML & AI projects Competitive annual salary of up to £90,000 dependent on experience Hybrid working - Bristol office base (currently 2 days in office but expected to move to 3) Ref J12883 Unfortunately, no sponsorship available with More ❯

Lead Data Scientist - ML & AI projects Competitive annual salary of up to £90,000 dependent on experience Hybrid working - West Kent office base (currently 2 days in office but expected to move to 3) Ref J12882 Unfortunately, no sponsorship available More ❯

Lead Data Scientist - Bristol THIS IS A HYBRID ROLE, YOU MUST BE ABLE TO COMMUTE TO BRISTOL EXCELLENT BENEFITS PACKAGE AND WORKING ENVIRONMENT The Company: The company is a leader in its field and is an Insurance business with an More ❯

and/or ML-enabled microscopy imaging. Knowledge of programming languages (e.g., Python), cloud infrastructure (e.g., Google Cloud), software (e.g., GitHub, Docker), ML model design and scientific libraries (e.g. TensorFlow, PyTorch, NumPy and Pandas). Experience with Cell Therapy Conferences such as: Advanced Therapies Week (Phacilitate), Allogeneic Cell Therapies Summit, ASGCT, ISCT, or Meeting on the Mesa, or AI More ❯

Kong, Apigee, AWS API Gateway) and ESB solutions. Familiarity with generative AI approaches like LLM-based chatbots or transformer-based AI solutions. You will have an understanding ML frameworks (TensorFlow, PyTorch) and how they can be utilised in data pipelines. Exceptional ability to communicate technical concepts to C-level executives, technical staff, and non-technical stakeholders. You will have More ❯

neural networks, optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities : Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are designed to perform effectively for … to influence both IP and system architecture. Required Skills and Experience : • A background in computer science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration systems • Familiarity with Linux and … ensure use cases you investigate are well understood and the critical areas needing improvement are understood Nice To Have Skills and Experience : • Experience of the inner workings of Pytorch, Tensorflow, Executorch and Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks More ❯

Skills & Experience: Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence … Skills & Experience: Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence 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 ❯

or Gaussian Splatting techniques. Desirable Skills Demonstrated experience in: Generative AI, including hands-on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR More ❯