26 to 50 of 279 TensorFlow Jobs in England

experience training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (e.g. scikit‐learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure ...

Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience deploying and serving ML models in production, including model monitoring and real-time inference Experience in scientific computing with other languages & frameworks ...

Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit‐learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands‐on experience with agent frameworks ...

track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment ...

Azure, AWS or GCP) and model deployment using MLOps frameworks Strong programming skills in Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging Face Experience using data platforms and big data frameworks like Databricks and Spark Excellent communication skills for engaging C-level stakeholders ...

orchestration frameworks, context and memory management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model ...

evaluation pipelines Experience in data and system engineering for large‐scale model workflows Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch) Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar) Experience ...

field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control ...

field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control ...

field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control ...

Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering (e.g., TensorFlow Developer, Azure AI Engineer Associate) are desirable. Demonstrated commitment to continuous learning in AI system architecture, secure engineering, and cloud‐native development. Knowledge & Experience ...

/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability ...

classification and optimisation problems. Proficient in SQL & Python. Familiarity with data manipulation libraries (e.g. PySpark, Pandas, Numpy) and machine learning frameworks (e.g. scikit-learn, TensorFlow or PyTorch). Experience with MLOps tools (e.g., MLflow, Databricks Model Registry, Unity Catalog, Vertex AI) and version control (Git). Strong coding practices ...

lifecycle, architecting sustainable solutions without compromising key product outcomes You demonstrate strong technical foundations in Python and SQL alongside modern modeling toolkits like PyTorch, TensorFlow, and Scikit-learn You bring practical expertise with public cloud environments, preferably Google Cloud Platform technologies such as BigQuery, Vertex AI, and Dataflow ...

lifecycle, architecting sustainable solutions without compromising key product outcomes You demonstrate strong technical foundations in Python and SQL alongside modern modeling toolkits like PyTorch, TensorFlow, and Scikit-learn You bring practical expertise with public cloud environments, preferably Google Cloud Platform technologies such as BigQuery, Vertex AI, and Dataflow ...

integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud‐native design). AI & Data Platform Architecture/Deployment: Architect robust, secure ...

diff-in-diff, IV, matching) where randomization is impractical Fluency in Python and core data/ML libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow), combined with solid software engineering practices (clean code, testing, version control, code review) Proficient with large-scale data : strong SQL skills and familiarity with ...

communication skills. Desirable Experience Machine Learning model development and training. LLMs, transformers, RAG and Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. ...

experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/ ...

model packaging and release management, automated validation, monitoring, and lifecycle management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced ...

model packaging and release management, automated validation, monitoring, and lifecycle management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced ...

intelligent systems. Strong proficiency in programming languages such as Python, Java, or C++. In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software engineering principles, including ...

scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision ...

autonomous decision-making frameworks. Highly proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack). A proven track record of designing RESTful APIs, microservices, and event-driven architectures ...

Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks ...