1 to 25 of 124 Permanent TensorFlow Jobs in England

deep learning, and reinforcement learning. Proficiency in programming languages such as Python, Java, Scala or C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. Strong problem-solving skills and the ability to more »

discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching more »

discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching more »

discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching more »

Graphs and LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges into data science solutions. Familiarity with version control systems (e.g. more »

tuning foundation models for predictive tasks or embedding generation Strong experience writing code in Python, and with appropriate deep learning packages such as PyTorch, TensorFlow Experience developing, debugging, and applying deep learning models in the cloud using GPUs, ideally on AWS A pragmatic and entrepreneurial mindset, and be able more »

You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn. Experience with deep learning frameworks such as TensorFlow or Pytorch. Experience with data labelling, validation, provenance and versioning. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice more »

and maintenance of models in production desired Expertise in using and implementing cutting-edge machine learning algorithms, frameworks, and libraries, such as PyTorch, Keras, Tensorflow to solve clustering, classification, regression, and optimization problems on large scale data sets Hands-on experience with modern NLP methods required. Specifically: Transformers models more »

learning methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity with software more »

pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience, using Terraform or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning more »

Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving collaboration and more »

Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a hybrid position. Candidates who cannot travel to more »

with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras Experienced with foundational Large Language Models (LLMs) APIs Experience in LLMs quantitative analysis Exposure to MLOps practices Familiarity with version control systems more »

pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision more »

pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision more »

pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision more »

NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies more »

Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques. Highly Desirable: Experience working on aerospace-related projects Experience deploying MLOps solutions and more »

Strong experience in natural language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL, Preferred qualifications, capabilities, and skills Financial more »

of relevant professional experience developing and deploying deep learning models in C++ applications. Experience working with modern deep learning frameworks and runtimes (e.g., PyTorch, TensorFlow, ONNX, TensorRT). Experience developing efficient C++ code for modern CPUs. Experience with GPGPU/CUDA programming. Hands-on experience working with software profiling more »

Prediction, Decision Making or Planning for autonomous vehicles. Fluency in Python and working knowledge of C++. Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) Proven record of leading and delivering projects as part of a team. Effective technical communication and leadership skills. An appreciation for the role of more »

learning experiments on clinical datasets. You will get to work with some of the most innovative tools in the market, including scikit-learn, pandas, Tensorflow, Pytorch, spaCy, and the AWS data stack. The role is hybrid, in central London (zone 1) and they are offering 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 »

highly skilled professionals. Requirements : Proficiency in Python, including libraries such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized processes (Docker, Kubernetes) Familiarity with cloud services and distributed computing frameworks (AWS more »

Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication more »