1 to 25 of 29 TensorFlow Jobs in the North of England

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer ...

like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer ...

like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer ...

your application to our client in conjunction with this vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven ...

comparable generative AI architectures Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization ...

comparable generative AI architectures Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization ...

comparable generative AI architectures Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization ...

scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

specifically open-source models). Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP. Frameworks & Tools: ML/DL: TensorFlow, PyTorch, or Hugging Face. Processing: OpenCV, Spacy, Regex, and OCR technologies. DevOps/Security: Experience delivering secure, resilient code and managing APIs. Nice to Have ...

driven systems Clear communication skills and the confidence to contribute ideas Nice to have but not essential Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit learn Familiarity with APIs, databases, or cloud platforms Personal projects, research, hackathons, or internships involving Python What you will gain Early ...

team Architecture of ML solutions Fine tuning LLMs Presenting technical insights Skills: Ability to write and produce production-grade code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning ...

into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost, and SKLearn. If this sounds like something you are interested in, please get in contact: thomas.deakin@spgresourcing.com SPG Resourcing is an equal opportunities employer ...