76 to 100 of 218 TensorFlow Jobs in the UK

model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience ...

model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience ...

Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge of AI ethics, compliance, and data privacy. Excellent communication and stakeholder engagement ...

Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge of AI ethics, compliance, and data privacy. Excellent communication and stakeholder engagement ...

performance What you will bring Hands-on experience delivering AI/ML solutions into production environments Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (Azure preferred) Experience operationalising models using tools such as Azure ML, Databricks, MLflow Understanding of data engineering, data governance, and lakehouse architectures ...

Experience (Mandatory) Degree in Computer Science, Data, Finance, or related field. Strong hands-on expertise in Python , SQL , and modern AI/ML frameworks (TensorFlow, PyTorch). Experience with at least one major backend language (Java, C++, C#, Go). Working knowledge of Typescript/Node.js and modern ...

Experience (Mandatory) Degree in Computer Science, Data, Finance, or related field. Strong hands-on expertise in Python , SQL , and modern AI/ML frameworks (TensorFlow, PyTorch). Experience with at least one major backend language (Java, C++, C#, Go). Working knowledge of Typescript/Node.js and modern ...

analytics roles. Recognised as a technical expert by colleagues, partners and customers. Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. Experience working with cloud AI platforms (AWS, Azure or GCP). Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based ...

Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/ ...

Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/ ...

Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/ ...

Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/ ...

Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/ ...

Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/ ...