51 to 75 of 104 TensorFlow Jobs in England

deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance and reliability more »

architecture, including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP). • Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery more »

deploy AI models. Requirements: PhD in AI or Computer Science with at least one top-tier publication. Strong proficiency in Python, Numpy, Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines and more »

computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms, and frameworks (TensorFlow, PyTorch) and their integration with specialised hardware platforms. What’s On Offer ~£80-120K + share options Hybrid working Guide long term roadmap more »

vector processing experience(RISC-V Vector) Strong software development skills using standard development tools (e.g., Git, Jira, etc.) Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.) Excellent problem-solving skills with a logical and analytical mindset Strong communication and interpersonal skills to collaborate effectively within a team environment more »

mindset, and wear multiple hats! You may be a good fit if you have: Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR Experience training representation models, or using text embeddings in downstream tasks Familiarity with various information retrieval techniques more »

and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using ESRI’s pre-trained models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications … such as Pandas and GeoPandas for data analysis and geospatial data manipulation. Advanced AI and computer vision expertise, with practical knowledge in using C++, TensorFlow, PyTorch, and OpenCV for object detection, image segmentation, and optical character recognition. Excellent analytical skills, able to work effectively in a multidisciplinary team. Desirable more »

ML engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO, SVP of … ML solutions, from data ingestion and preprocessing to model training, evaluation, and productionization. - Strong programming skills in Python, with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable more »

Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a Compute Library Engineer looking for more »

About us: AWTG, a leader in 5G systems integration and application development, is looking for Python Developer to join its division based in London. AWTG’s technology solution covers Digital Transformation, Rapid Prototyping, Artificial Intelligence, Internet of Things, and Software. more »

following: Extensive experience MLIR/LLVM Compiler Development Advanced C++ programming skills Understanding of AI Processors is preferred Familiarity of AI frameworks such as Tensorflow, PyTorch, etc. If you’re a MLIR Compiler Lead looking for an exciting new challenge within a great company, then please apply today to more »

Company Overview: Credit Resource Solutions (CRS), part of the COEO Group is a UK Specialist collections agency headquartered in Halifax, West Yorkshire, with its primary operations based in Germany. Our team comprises leading tech and AI experts committed to revolutionizing more »

Lead Machine Learning Engineer Paying between £100,000-£140,000 + stock options Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting-edge Bio more »

ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning more »

Medoids or similar and the skills to evaluate solution suitability e.g., Silhouette Score. Confident in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging more »

using LangChain, RAG methods, and other relevant frameworks. Experience with Flask for API development. Technical Skills: Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow). Strong understanding of natural language processing and generative models. Experience with vector databases, e.g. Chroma for document and vector management, and embedding models. more »

such as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers Experience defining system architectures and more »

the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with more »

apply or get in touch. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not more »

the planet for the better. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not more »

development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »

skills in data analysis, deep learning, and machine learning techniques. Proficiency in programming languages like Python and familiarity with machine learning frameworks (such as TensorFlow and PyTorch). Good management and leadership abilities. Strong presentation and communication skills. Experience with computational chemistry software and tools is a plus. If more »

ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with more »

in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »

managing a team of Junior Data scientists Proficiency in data forecasting, analysis, prediction, and deriving trading signals from datasets. Extensive hands-on experience with TensorFlow (and/or Keras), scikit-learn, and related tools, coupled with a strong command of Python. Robust analytical and mathematical abilities essential for model more »