76 to 100 of 165 TensorFlow Jobs in the UK

infrastructure using languages such as Python, C++ or Rust; hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc.; deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up; knowledge of emerging AI hardware accelerators and architectures; experience with More ❯

suite including Vertex Pipelines (or similar platforms). Technical Proficiency: in SQL and Python, along with familiarity with standard libraries used in data science such as scikit-learn, Keras, TensorFlow, pandas, NumPy, seaborn, and Matplotlib. Desirables: While not essential, the following experience would be highly beneficial: Production Experience with LLM Monitoring: Hands-on experience with monitoring LLMs in production More ❯

regard to you…it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to build things that actually get used, apply now More ❯

In regard to you...it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to build things that actually get used, apply now More ❯

to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London) Family friendly policies Great More ❯

to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London) Family friendly policies Great More ❯

advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models 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 ❯

Looking For: 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to More ❯

Looking For: 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to More ❯

a relevant discipline. Strong background in Machine Learning and/or statistical signal processing applied to sequential/sensor data. Proficiency in Python with experience in frameworks such as TensorFlow, PyTorch, or scikit-learn. Demonstrated expertise in developing ML solutions for real-world problems. Desirable Experience (one or more areas): RF communications, radar, sonar, or electronic warfare. Tracking, sensor More ❯

a relevant discipline. Strong background in Machine Learning and/or statistical signal processing applied to sequential/sensor data. Proficiency in Python with experience in frameworks such as TensorFlow, PyTorch, or scikit-learn. Demonstrated expertise in developing ML solutions for real-world problems. Desirable Experience (one or more areas): RF communications, radar, sonar, or electronic warfare. Tracking, sensor 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 ❯

of AI technologies, algorithms, and frameworks . Proficiency in programming languages (Python, R, C/C++, Java) and secure coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific security More ❯

Java, C++, Python or related language Experience with neural deep learning methods and machine learning 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 opportunity employer and does not discriminate on the basis of protected More ❯

deep learning and generative AI techniques, including implementing custom architectures, pretraining/fine-tuning generative models, building agentic workflows, and deploying solutions with real-world constraints. Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Preferred Qualifications Experience in building AI agents (based on RL, LLMs, etc.) Experience in building multi-agent simulation Background in Large Language Models/NLP More ❯

or PhD). Excellent leadership and organisational skills, with a track record of developing and leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be More ❯

Java, C++, Python or related language Experience with neural deep learning methods and machine learning 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 opportunity employer and does not discriminate on the basis of protected More ❯

Approaches: Machine learning, optimisation, stochastic and agent-based models About You Experience in the energy sector - markets, trading, forecasting, etc. Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Knowledge of GitHub/Azure DevOps and SQL advantageous. Excellent communicator, able to explain technical concepts to non-technical audiences. Degree (or equivalent experience) in a numerical More ❯

and know how to translate those into robust, scalable digital environments. Experience with HPC, cloud platforms (AWS, Azure, GCP), containerisation (Docker, Singularity), and research software tools (MATLAB, R, Python, TensorFlow, NVivo) is essential. Familiarity with data governance, reproducibility frameworks, and AI ethics is highly desirable. More ❯

working with large databases and data warehouses. You'll be proficient in Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you'll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification More ❯

Java, C++, Python or related language - Experience with neural deep learning methods and machine learning 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. - Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or More ❯

medical, aerospace, or automotive Experience of real-time operating systems and embedded development Experience working to an Agile lifecycle. Awareness of machine-learning frameworks such as Pytorch, Keras/Tensorflow, MATLAB Machine Learning toolbox Awareness of mathematical libraries used for signal processing, image processing and data processing Awareness of high-performance computing and the challenges of parallel processing This More ❯

or related fields Relevant experience in delivery of AI design, build, deployment or management Proficiency or certification in Microsoft Office tools, as well as relevant technologies such as Python, TensorFlow, Jupiter Notebook, Spark, Azure Cloud, Git, Docker and/or any other relevant technologies Strong analytical and problem-solving skills, with the ability to work on complex projects and More ❯

or related fields Relevant experience in delivery of AI design, build, deployment or management Proficiency or certification in Microsoft Office tools, as well as relevant technologies such as Python, TensorFlow, Jupiter Notebook, Spark, Azure Cloud, Git, Docker and/or any other relevant technologies Strong analytical and problem-solving skills, with the ability to work on complex projects and More ❯