1 to 25 of 88 Remote Permanent TensorFlow Jobs in England

software engineering experience, with 4 years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

Compose • Terraform and Ansible • PostgreSQL and Sequelize ORM • Monitoring tools: Grafana, Prometheus • Security tools: Wazuh • Authentication protocols: WebAuthn, TLS • AI/ML frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn). Other Skills • Proven ability to work independently and deliver results in a high-pressure startup environment. • Strong understanding of more »

experience in developing/integrating and deploying LLMs or Generative AI systems in production. Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Exposure to GraphQL (a nice-to-have but not required). Experience with multimodal AI models What We Offer 28 days more »

data-driven drug discovery, precision medicine, and computational biology. Create and optimize multi-modal machine learning algorithms, using frameworks such as JAX, PyTorch, and TensorFlow, with applications to vision and language understanding. Collaborate with interdisciplinary teams, including computational biologists, bioinformaticians, and data scientists, to apply machine learning insights in … boundaries of AI applications in the life sciences. You will need: 3+ years of hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and JAX. Demonstrated ability to lead research projects independently, with a focus on AI-driven biotech solutions. In-depth knowledge of the full stack more »

. 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 more »

on building and deploying large-scale models. Expertise in OpenAI technologies and familiarity with other AI platforms and providers. Strong programming skills (e.g., Python, TensorFlow, PyTorch) and experience with data processing pipelines. Ability to work with complex datasets, transforming raw data into structured, insightful outputs. Familiarity with psychometric assessments more »

Lead Data Scientist - ML & AI projects Competitive annual salary of up to £90,000 dependent on experience Hybrid working - Bristol office base (currently 2 days in office but expected to move to 3) Ref J12883 Unfortunately, no sponsorship available with more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

Synapse Analytics, Power BI, Azure Machine Learning). Strong programming skills in Python, R, and SQL. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of data visualization tools (e.g., Power BI, Tableau). Proficiency in Python, R, SQL, and big data frameworks (e.g. … Hadoop, Spark). Hands-on experience with machine learning libraries such as TensorFlow, Scikit-learn, or PyTorch. Experience working with large, complex datasets and designing ETL pipelines. Recruitment Domain Knowledge (Preferred): While not essential, experience in recruitment, HR tech, or talent analytics is highly advantageous. Leadership: Ability to inspire more »

AI solutions Preprocess and analyze visual data using OpenCV, scikit-learn, and scipy to extract meaningful insights Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy Optimize AI models using OpenVINO for efficient inference on edge devices and …/C++ for AI model development and inference Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimization Familiarity with AI model Strong analytical and problem-solving skills with the ability to more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

expertise in building and optimising RAG systems Extensive experience with LLMs and fine-tuning techniques Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow) Experience with vector databases and embedding models Track record of deploying ML systems at scale Technical Skills: Advanced knowledge of ML ops and model more »

or Azure ML to automate model deployment and lifecycle management. Technical Skills : Programming : Advanced proficiency in Python and libraries like PyTorch, Hugging Face Transformers, TensorFlow, Numpy, and Pandas. Optimisation : Expertise in inference optimisation techniques (quantisation, distillation) and model-serving frameworks. Cloud Platforms : Experience deploying AI solutions on Azure (preferred more »

creating datasets from anonymized proprietary data and using them for model training and fine-tuning. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Advanced programming skills in Python and SQL. A degree in Computer Science, Mathematics, Statistics, or a related quantitative field (BS more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

using vector databases (e.g., Weaviate, Pinecone, Milvus) for real-time data retrieval. MLOps: Deploy and maintain AI models using tools like MLflow, Kubeflow, and TensorFlow Serving. Data Engineering: Create high-performance data pipelines with Apache Spark, Kafka, and Hadoop. Generative AI: Integrate AI technologies (e.g., GPT, DALL-E, GANs … like Optuna and Ray Tune to maximize model performance. Requirements: Proficient in Python, R, C++, or Java. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Solid experience with Pandas, NumPy, and vector databases like Weaviate, Pinecone, Milvus. Strong background in reinforcement learning using tools like more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

software engineering experience, with 4+ years focusing on ML/AI systems. Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX. Extensive experience with agent development frameworks and cloud-based AI platforms. Expertise in prompt engineering and large language model (LLM) optimization. Proven more »

strategic initiatives. Expertise in machine learning algorithms, predictive modelling, and AI-driven product development. Strong technical background, with proficiency in tools such as Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP). A strategic mindset with a passion for innovation and problem-solving. 🌍 Why Join? Join a fast more »

Join NScale as a Senior Backend Engineer Are you ready to build the backbone of next-gen AI systems and power cutting-edge technologies? NScale is the hyperscaler engineered for AI. We are a leading provider of enterprise-grade GPU more »

Senior AI Engineer - Greenfield project Salary – Up to £90,000 plus benefits Technology – Python, TensorFlow, PyTorch, LLM's and AWS. Location – Hybrid/London (onsite twice a week). An innovative business focused on enhancing client experiences through advanced technology solutions is looking for a highly skilled Senior AI … implementation to testing and deployment. Skills & Experience Required : Strong proficiency in Python with a focus on backend development. Exposure to ML libraries such as TensorFlow and PyTorch. Solid understanding of AWS or similar cloud platforms. Proficiency in relational databases like SQL. Experience with CI/CD tools and automation more »