1 to 25 of 136 Permanent TensorFlow Jobs in the UK

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 »

the field of software engineering, showcasing robust coding proficiency and a profound curiosity for Large Language Models. Expertise in NLP, with experience in PyTorch, TensorFlow, HuggingFace, transformers, and Python. Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience. Experience with Large 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 »

or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). 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 »

and deploying machine learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (eg, TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication 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 »

including machine learning, natural language processing, computer vision, and data analytics. Familiarity with AI frameworks, tools, and platforms commonly used in product development (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency in agile methodologies and product management best practices, including user story development, backlog management, and sprint planning. Solid analytical more »

analysing results and creating insights Proficiency in software development (Python, Github, Jupyer Notebooks, etc.) Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow) Experience with ML/LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.) Good problem-solving and communication skills Ability to work in 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 »

we use GCP VertexAI in the team) Very good Python programming skills and experience with Machine Learning libraries such as scikit-learn, XGBoost , Keras , Tensorflow etc Familiarity with ETL concepts and ability to write scalable SQL code (familiarity with BigQuery and working with nested data a plus) Ability to 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 »

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 »