7 Model Interpretability Jobs

Join the Corporate AI Incubator team within Corporate Banking as a Gen AI QA Engineering Lead at Barclays. This role is pivotal in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions, including LLMs and retrieval-augmented generation (RAG) pipelines. You will lead QA efforts across multiple AI PODs, collaborating with data scientists, ML engineers, Data engineers and governance teams to build robust testing frameworks and automation pipelines that validate model performance, safety, and enterprise readiness. **Key Responsibilities:** - Designing and implementing QA frameworks for GenAI models, including prompt validation, output consistency, hallucinatio...

As an AI Engineer at GenAI & Applied ML, you will have the opportunity to work with cutting-edge AI technologies, particularly in Generative AI, Large Language Models (LLMs), and applied machine learning. Your role will involve designing, building, and deploying AI solutions using platforms like OpenAI, Hugging Face, and Cohere, specifically for applications in document intelligence, automation, and Q&A systems. You will collaborate with product and engineering teams to integrate AI features into scalable platforms, utilizing tools like Lang Chain, Flask, and AWS/GCP to deploy models effectively. - Integrate RAG (Retrieval-Augmented Generation), prompt engineering, and zero/few-shot learning...

Join us at Barclays in the role of Strategic Adoption AI Engineer, where you will be tasked with enhancing existing processes, reporting, and controls to ensure flawless execution of BAU. Your responsibilities will include driving efficiencies, implementing process improvements, and standardizing processes across SBUs wherever feasible. At Barclays, we not only anticipate the future but also actively participate in creating it. To excel in this role, you should possess the following skills: - Proficient programming abilities in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. - Familiarity with automation tools like Jenkins, GitHub Actions, or G...

As an MLOps Engineer at Barclays, you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions. Your main focus will be on ensuring scalable, secure, and efficient deployment across the infrastructure. Collaborating closely with data scientists, ML engineers, and business stakeholders, you will build and maintain robust MLOps pipelines. These pipelines will enable rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To excel in this role, you should have strong programming skills in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. Addi...

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript fra...

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, Py...

As an AI Engineer at GenAI & Applied ML, you will have the opportunity to work with cutting-edge AI technologies, particularly in Generative AI, Large Language Models (LLMs), and applied machine learning. Your role will involve designing, building, and deploying AI solutions using platforms like OpenAI, Hugging Face, and Cohere, specifically for applications in document intelligence, automation, and Q&A systems. You will collaborate with product and engineering teams to integrate AI features into scalable platforms, utilizing tools like Lang Chain, Flask, and AWS/GCP to deploy models effectively. Your key responsibilities will include integrating RAG (Retrieval-Augmented Generation), prompt ...