426 to 450 of 716 Remote PyTorch Jobs

into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling, and semantic More ❯

user testing or co-design methods, in arts or health settings Experience with Image and/or audio-based AI development and familiar with libraries such as: SciPy, TensorFlow, PyTorch, Hugging Face Experience with Image and/or audio-based AI development Familiarity with research projects productivity timelines Knowledge of the peer review process for research projects and journal articles More ❯

user testing or co-design methods, in arts or health settings Experience with Image and/or audio-based AI development and familiar with libraries such as: SciPy, TensorFlow, PyTorch, Hugging Face Experience with Image and/or audio-based AI development Familiarity with research projects productivity timelines Knowledge of the peer review process for research projects and journal articles More ❯

UX researchers and designers to translate user needs into elegant front-end solutions AI Tool Development Develop and integrate AI/ML models into production systems using Python, TensorFlow, PyTorch, or similar frameworks. Build APIs and services that expose AI capabilities to internal and external consumers Data Tool Development Design and implement data pipelines, dashboards, and analytics tools using AWS More ❯

4+ years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical More ❯

related field (Master’s preferred). 1+ year(s) of experience in AI, machine learning, or data science. Proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn . Strong understanding of data analysis , feature engineering , and model evaluation techniques, particularly with retail and consumer-facing data. Passion for AI and the retail industry, with More ❯

Qualifications Proven track record of developing and deploying LLM-based solutions in an enterprise setting as a senior/staff scientist. Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy. Strong understanding of LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them for specific tasks. Demonstrable experience in utilising different model architectures and More ❯

a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch; Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques; Experience in Software Engineering including programming in Python; Technical experience of cloud More ❯

presentations and communicate complex findings to technical and non-technical stakeholders• Identify and explore new data sources and technologies to drive innovation Qualifications • Strong experience with Python, SQL, TensorFlow, PyTorch, GCP, Docker, and LLM technologies• Ability to solve complex, ambiguous problems with minimal guidance• Excellent communication skills for explaining technical concepts to non-technical audiences• Experience in team leadership and More ❯

presentations and communicate complex findings to technical and non-technical stakeholders• Identify and explore new data sources and technologies to drive innovation Qualifications • Strong experience with Python, SQL, TensorFlow, PyTorch, GCP, Docker, and LLM technologies• Ability to solve complex, ambiguous problems with minimal guidance• Excellent communication skills for explaining technical concepts to non-technical audiences• Experience in team leadership and More ❯

Experience with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms More ❯

practices. Preferred Qualifications and Skills Strong background in AI/ML, including deep learning, large language models, computer vision, or generative AI. Experience with Python and frameworks such as PyTorch or TensorFlow. Familiarity with physics-based simulation tools (e.g., LS-DYNA, Ansys), CAD modeling, or CFD. Excellent communication and collaboration skills, especially in distributed team environments. Ability to work in More ❯

practices. Preferred Qualifications and Skills Strong background in AI/ML, including deep learning, large language models, computer vision, or generative AI. Experience with Python and frameworks such as PyTorch or TensorFlow. Familiarity with physics-based simulation tools (e.g., LS-DYNA, Ansys), CAD modeling, or CFD. Excellent communication and collaboration skills, especially in distributed team environments. Ability to work in More ❯

in cybersecurity, with a strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills. Preferred requirements: Undergraduate or postgraduate in Computer More ❯

presentations and communicate complex findings to technical and non-technical stakeholders Identify and explore new data sources and technologies to drive innovation Qualifications Strong experience with Python, SQL, TensorFlow, PyTorch, GCP, Docker, and LLM technologies Ability to solve complex, ambiguous problems with minimal guidance Excellent communication skills for explaining technical concepts to non-technical audiences Experience in team leadership and More ❯

one or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯

research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Strong knowledge of linear algebra, calculus and statistics Experience working in a scientific environment across disciplines (particularly biology, chemistry More ❯

one or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯

Data Scientist/ML Engineer – Data-Driven Digital Agency Location: Hybrid (London) or UK Remote Are you a Data Scientist Or ML Engineer ready to make an impact across the full data science lifecycle? Do you thrive in fast-paced More ❯

Career Growth, Flexibility and Collaboration! Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. Headquartered in Minnesota, we offer our colleagues the ability to work globally, in a flexible More ❯

Social network you want to login/join with: Data Scientist/ML Engineer – Data-Driven Digital Agency Location: Hybrid (London) or UK Remote Are you a Data Scientist Or ML Engineer ready to make an impact across the full More ❯

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯

Social network you want to login/join with: Senior Applied Scientist - Computer Vision, slough col-narrow-left Client: Entrust Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 More ❯

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . More ❯