from a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance decision-making, optimise processes, and … with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g. … NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. DataVisualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. More ❯
from a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance decision-making, optimise processes, and … with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g. … NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. DataVisualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. More ❯
working in a close-knit team who solve complex problems, together. The Client works with very latest cutting edge Front End Technologies. You will be working to create data-heavy applications for the Company’s principle client, a major management consultancy undergoing a large-scale digital transformation. Responsibilities Delivering pixel-perfect, high-quality code in a timely manner. … Exceptional track record in delivering quality front end engineering solutions. A thorough understanding of React.js and its core principles and workflows (such as Flux or Redux) Datavisualisation experience, including with D3.js Experience with continuous integration, test automation, and monitoring You must have the following skills: Strong proficiency in JavaScript, CSS, HTML including DOM manipulation and the More ❯
