Data Science Manager, you will be responsible for leading a talented team of Data Scientists while still contributing individually to the design and development of cutting-edge AI and ML infrastructure. This role blends leadership, strategy, and hands-on technical delivery. This is an exciting chance to lead the data science efforts behind a cutting-edge AI product, while continuing … of Data Scientists, fostering a high-performance and collaborative culture. Guiding strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions. Driving the development of machinelearning models, pipelines, and tooling, with a strong emphasis on MLOps best practices. Acting as a subject matter expert internally and externally, including with key customer stakeholders. Translating … Deep understanding of machinelearning model lifecycles and optimisation. Skilled in building, training, and deploying models on large datasets. Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks. Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure. Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders. A collaborative, curious More ❯
AWS & Azure (primary skills). Solid understanding of containerization and orchestration tools like Docker and Kubernetes . Proficiency in cloud native distributed systems & microservices architecture. Exposure to AI/ML techniques for predictive analytics and automated problem resolution. Familiarity with CI/CD pipelines & enabling automated release & deployment engineering solutions. Good to have experience with chaos engineering tools like Gremlin More ❯
on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machinelearning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯
all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machinelearning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯