13 Model Interpretability Jobs

As a Gen AI QA Engineering Lead at Barclays, you play a crucial role in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions. You will lead QA efforts across multiple AI PODs, collaborating with various teams to build robust testing frameworks and automation pipelines. Your key responsibilities include: - Designing and implementing QA frameworks for GenAI models, focusing on prompt validation, output consistency, hallucination detection, and bias mitigation. - Building automated test suites for GenAI pipelines using Python, PyTest, and tools like MLflow, SageMaker, or similar. - Integrating QA checks into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Gi...

In this role as an AI Consultant at GN Automotive, your core responsibilities will include: - Identifying high-value AI use cases across the automotive value chain. - Articulating AI solutions and business value to clients, including impact, ROI, and feasibility. - Partnering with clients to redesign processes using AI-driven workflows and automation. - Analyzing large, multi-source datasets such as sales, customer, and inventory to inform and model solutions. - Leading Strategy & Execution, including developing AI vision & roadmap, assessing data readiness and value maturity, prioritizing use cases, establishing AI Governance, defining target operating model, managing change, training, and ...

As a Strategic Adoption AI Engineer at Barclays, your primary responsibility will be to enhance existing processes, reporting, and controls while ensuring flawless execution of BAU. You will drive efficiencies and process improvements, standardizing processes across SBUs wherever possible. At Barclays, you are not just anticipating the future - you are creating it. Key Responsibilities: - Strong programming skills in Python and experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. - Experience with Jenkins, GitHub Actions, or GitLab CI/CD for automating ML pipelines. - Strong knowledge of Docker and Kubernetes for scalable deployments. - Deep experience with AWS service...

Job Summary: The AI Governance SME will lead the development and implementation of governance frameworks for artificial intelligence systems, ensuring ethical, secure, and compliant AI adoption across the organization. This role requires deep expertise in AI risk management, policy development, and regulatory compliance, particularly in high-stakes environments such as defense, healthcare, or finance. Key Responsibilities: Governance Frameworks: Develop and implement AI governance structures aligned with industry standards and organizational policies. Risk Management: Identify and mitigate risks associated with AI model deployment, including data privacy, security, and ethical concerns. Poli...

As an AI Consultant at GN Automotive, your role will involve identifying high-value AI use cases across the automotive value chain. You will be expected to articulate AI solutions and business value to clients, emphasizing impact, ROI, and feasibility. Collaborating with clients, you will redesign processes using AI-driven workflows and automation. Additionally, you will analyze large, multi-source datasets such as sales, customer, and inventory data to inform and model solutions. Your responsibilities will also include leading Strategy & Execution by defining AI vision & roadmap, assessing data readiness/maturity and value, prioritizing use cases, implementing AI Governance, designing targe...

As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop API...

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 ...