14 of 14 Machine Learning Jobs in Kent

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 ...

interpret studies supporting model development. Communicate modelling results through reports, presentations, publications, and regulatory documents. Contribute to innovations in modelling, automation, and AI/ML-enabled predictive approaches. What We're Looking For PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or related discipline. Strong expertise … track record of scientific contribution. Desirable Experience PBPK/PBBM regulatory submissions. Virtual bioequivalence and clinically relevant dissolution specifications. Python, R, or MATLAB programming. Machine learning/data science applications in drug development. If you're passionate about using modelling and simulation to accelerate pharmaceutical innovation and improve ...

including CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills:Experience with ...

regulatorsStrong analytical and problem-solving skillsCandidates should have at least three of the following skills:Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutionsExperience with large scale data sets with structured or unstructured dataExperience in building user facing applications over ...

analytics tools and customer feedback platforms. Demonstrated experience delivering end-to-end product lifecycle management. Preferred (Nice to Have) Experience with: Computer vision or machine learning products Automotive or fleet safety regulations Hardware device certification and testing International telematics markets Agile/Scrum certification (e.g., CSPO). Personal ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

working directly with external customers is desirable, as is knowledge of, or experience in, the defence/military domain.Demonstrated expertise in developing and implementing machine learning modelsProgramming skills in languages, tools and frameworks commonly used in data scienceExperience in data preprocessing and feature engineeringComputer science skills to support ...

technologies and operating systems, product development processes and business operations Advanced technical knowledge in technology troubleshooting methodologies, design, and implementation Required Skills AI/Machine Learning Cloud Computing Cybersecurity DevOps Coding Skills Network/Systems Skills Certifications CISSP - essential ISSAP - highly preferred CISM, GIAC or other vendor (Cisco ...

technical roadmaps aligned with growth roadmaps and long-term defence strategiesevaluating and selecting technologies across cloud, edge computing, secure networks, data platforms, AI/ML, and mission critical softwareCollaborating with senior military users, programme managers, and engineering leads to capture operational needs and translate them into technical solutionsBeing responsible ...

bids and business development activities ensuring that proposed solutions are feasible, innovative, compliant, and mission-alignedWorking closely with engineering, data, cyber, AI/ML, and systems integration teams to shape end-to-end solutionsTranslating complex missions’ needs into robust technical architecture, capability concepts, and delivery approachesTechnically lead major bids from ...

/CD, observability and deployment. About You You will be a Senior GenAI/NLP Engineer with strong experience delivering production AI/ML solutions across cloud environments. You'll have hands-on experience with LLMs, RAG, agentic AI, vector embeddings and model evaluation, alongside technologies such as AWS Bedrock … enjoy solving complex technical challenges to build secure, scalable and production-ready AI solutions. Key requirements: Strong professional experience in GenAI, NLP, AI/ML Engineering, or a similar role, with experience delivering production-ready solutions. Strong hands-on experience with LLMs, RAG pipelines, agentic AI, vector embeddings, and model ...

.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 ...