18 of 18 Machine Learning Jobs in Kent

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

data modelling, cleansing and dataset preparation. Experience supporting or developing Power BI dashboards and data visualisations. Familiarity with APIs, automation tools and AI/ML-driven platforms. Strong JavaScript and jQuery skills, including asynchronous handling and AJAX. Knowledge of version control tools such as Azure DevOps. Understanding of UX principles ...

with the ability to challenge convention. Strong understanding of automation, workflow optimisation, and process re-engineering. Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. Experience working in agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding ...

Program Increment (PI) cycles Champion best practice across data products, including: BI dashboards and reporting Data APIs and feeds Cloud and hybrid data platforms ML models and services Data models and governance frameworks Master data management Act as the voice of the Data Platform, aligning technical capability with business demand ...

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - Tunbridge Wells (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking … Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable. What you'll bring: Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text. Good understanding of modern AI tooling ...

building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking … Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable. What you'll bring: Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text. Good understanding of modern AI tooling ...

building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking … Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable. What you'll bring: Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text. Good understanding of modern AI tooling ...

building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking … Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable. What you'll bring: Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text. Good understanding of modern AI tooling ...

building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking … Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable. What you'll bring: Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text. Good understanding of modern AI tooling ...

building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking … Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable. What you'll bring: Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text. Good understanding of modern AI tooling ...

building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking … Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable. What you'll bring: Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text. Good understanding of modern AI tooling ...