51 to 75 of 135 TensorFlow Jobs in London

production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning Strong Python skills and experience with PyTorch, TensorFlow or Keras Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI Bachelor's degree in a technical field ...

language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ...

language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ...

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 ...

Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution ...

Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed ...

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/ ...

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 ...

quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) 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 ...

open AI Technical Expertise: •Proven experience in data science leadership roles with team management. •Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. •Knowledge of cloud architecture, data engineering, and security ...

open AI Technical Expertise: •Proven experience in data science leadership roles with team management. •Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. •Knowledge of cloud architecture, data engineering, and security ...

models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand ...

models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand ...