551 to 575 of 976 TensorFlow Jobs in England

Statistics Expertise in LLMs and Algorithms Experience with data preprocessing and feature extraction Proficiency in programming languages like Python or R (4+ years) Knowledge of machine learning frameworks like TensorFlow or PyTorch Excellent problem-solving and analytical skills What you don't know, we can teach - as long as you have the desire to learn. We are a group More ❯

or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

in Python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Desirable Skills/Experience Although More ❯

production systems. Additional skills include leadership in agile environments, strong communication, mentorship abilities, expertise in RAG architectures, Transformer-based LLMs, model optimization, programming in Python with frameworks like PyTorch, TensorFlow, Hugging Face, LangChain, experience with containerization tools, cloud deployment (preferably Azure), and familiarity with databases and data platforms. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We foster a team culture More ❯

regulatory and internal policy requirements. What you'll have: Be highly numeratewith astatistical background, with strong expertise in Python is essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. Have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with More ❯

or Neocloud space. Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking More ❯

or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

communication skills. Technical curiosity and adventure around applying machine learning in healthcare, looking to push the boundaries of science! Desired experience: Ph.D. in a relevant area. Understanding of PyTorch, TensorFlow, and platforms like TFX, Neptune.ai, MLflow, Weights & biases, etc. Previous experience working in computer vision or machine learning. Knowledge of digital pathology. Awareness and prior experience in Life Science 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 ❯

learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice More ❯

Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and research proposals to internal and external stakeholders Collaborate with top UK More ❯

years experience in Embedded C/C++, Python, Linux, RTOS, microcontrollers, network protocols, Model-Based Design Expertise in Machine Learning & AI, Deep Learning, Computer Vision, Data Science, Programming (Python, TensorFlow, PyTorch, MATLAB, Julia), Computational Modeling (FEA, HPC) Additional qualifications include MEng in Electronics and Computer Science, BSc in Electronic Engineering, RF Design, PCB Design, 5G, MIMO, Satellite communications, High More ❯

deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently formulate More ❯

deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently formulate More ❯

Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and research proposals to internal and external stakeholders Collaborate with top UK More ❯

regulated industry would be highly preferable. You'll be highly numerate with a statistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You'll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a More ❯

to develop real-world applications Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala Experience with Pytorch and/or TensorFlow is a strong plusExperience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large More ❯

Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug 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 ❯

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 ❯

for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving Experience in More ❯

in a regulated industry would be highly preferable. You'll be highly numeratewith astatistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You'll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a More ❯

offs, integration complexity, long-term maintenance, and business impact Expert-level coding skills in Python, Scala, Java, or similar languages, with deep hands-on experience in ML frameworks (e.g., TensorFlow, PyTorch) and distributed data systems (e.g., Spark, BigQuery) Effective communicator and technical collaborator who proactively drives initiatives in cross-functional, agile teams. Comfortable mentoring peers, leading discussions around architecture 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 ❯

points to understand how AI systems could be abused and misused. Skills: Demonstrated ability in artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, TensorFlow, etc.) Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business Expert in synthesizing and clearly communicating complex More ❯