326 to 350 of 2,039 TensorFlow Jobs

Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised More ❯

Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical More ❯

with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad More ❯

of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the More ❯

learning to real world commercial problems Experience bringing live services using machine learning and python to production. Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learn, tensorflow, etc...) knowledge in other programming languages is valuable, but this is primarily a Python shop. Experience with things like CI/CD pipelines, Docker or similar, cloud hosting, good More ❯

a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C C#, Scala, etc. -Exceptional technical fluency in machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.) Personal Qualities: -Ability to contextualize data as it relates to Rhombus' vision. We want someone who can understand the "why" and "so what", and not just More ❯

research Deep understanding of AI/ML concepts applied to Digital Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and More ❯

with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, S3, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow, Jenkins More Information Enjoy fantastic perks like private healthcare & dental insurance, a generous work More ❯

research Deep understanding of AI/ML concepts applied to Digital Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and More ❯

impact. Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare. Previous experience More ❯

and advanced AI architectures. You are an industry expert in ML model development, deployment, and MLOps at scale. You are deeply comfortable with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch) and have experience working in a microservices architecture (Go Lang experience is a plus). You have extensive experience with real-time ML applications, reinforcement learning, graph-based More ❯

are applied. Essential technical skills Proficient in SQL and Python. An ability to analyse complex datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). Experience with MLOps practices. Demonstrable experience building visualisations and dashboards More ❯

internal and external use cases. Background in productizing AI solutions will be an advantage Background in consulting or corporate strategy with an AI focus. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Right to Work Requirements: This role is limited to persons More ❯

such as Python, R, C++, Rust or Java, and their associated security considerations. Coding experience with AI & ML, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn. Personal Attributes Drive and lead continuous improvement with energy and passion Displays high levels of self-awareness and emotional intelligence in all situations Strong More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Description Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a More ❯

Data Scientist at PwC (Sponsorship Available) PwC is seeking a talented and forward-thinking Data Scientist to join its growing team in the UK. This is a fantastic opportunity for candidates with strong analytical expertise and programming skills, particularly in More ❯

fit around university schedules. We are looking for someone with some of the following skills/interests: Python Programming Machine Learning & Deep Learning – Algorithms, neural networks, and frameworks like TensorFlow or PyTorch. Data Analysis & Visualization – Ability to work with large datasets using Pandas, NumPy, Matplotlib, or Seaborn. NLP & Computer Vision (Bonus) Software Development – Knowledge of APIs, backend systems, and More ❯

natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration More ❯

natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. More ❯

processes using AI and data analysis. Ensure ethical AI practices and compliance with data privacy laws. Technical Skills Required: Proficiency in Python (preferred), R, Java, or C++. Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks. Strong skills in Pandas, NumPy, SQL for data handling and analysis. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Ability to More ❯

model development. Solid understanding of ML theory and practical application. Strong understanding of statistical concepts (e.g., hypothesis testing, sampling, probability distributions). Experience with ML libraries (e.g., scikit-learn; TensorFlow or PyTorch a plus). Proven track record of deploying ML models to production environments. Experience with software development concepts including Version Control (e.g., Git), CI/CD pipelines More ❯

or similar programming (intermediate level). Expertise in NLP libraries such as spaCy, Transformers, Sentence Transformers, LangChain, LangGraph, LlamaIndex, BERTopic. Hands-on experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Google Cloud, Azure) and version control systems (Git). Knowledge of SQL and database management. NLP Competencies : Strong understanding of NLP techniques More ❯

Experience in aligning data science initiatives with business goals and prioritising impactful projects. Platform-agnostic approach to machine learning technologies. Proficiency in Python. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Strong knowledge of data engineering tools and technologies (e.g., Spark, Hadoop, SQL). Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of More ❯

Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Why Join warpSpeed: Career Growth and Impact More ❯

with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such More ❯