Senior AI Engineer

• Collaborate closely with data scientists, product owners, and other engineers to translate concepts into production-grade software.
• Develop and maintain the full lifecycle of AI solutions, from data ingestion and processing to model deployment and monitoring.
• Implement and manage MLOps pipelines to ensure efficient and automated training, evaluation, and deployment of predictive algorithms.
• Write high-quality, maintainable, and well-tested code in languages such as Python or Typescript.
• Ensure the security, scalability, and observability of the AI systems you build within our cloud-native environment.
• Participate in code reviews, providing and receiving constructive feedback to maintain high engineering standards.
• Stay up to date on the latest advancements in AI, machine learning, and software engineering, and apply this knowledge to your work.

• Proven experience in a software engineering role with a focus on building and deploying applications.
• Strong proficiency in at least one of the following programming languages: Python or the JavaScript runtime Node.js with Typescript.
• Proven understanding of software development principles, including experience in building scalable and observable solutions.
• Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS) and a strong grasp of cloud-native architectures.
• Experience with containerisation technologies such as Docker and orchestration platforms like Kubernetes.
• A foundational understanding of concepts in artificial intelligence, including supervised and unsupervised learning, and the lifecycle of a machine learning project.
• Familiarity with emerging trends and technologies in AI, such as Generative AI, Large Language Models (LLMs), and Agentic AI architectures.
• Experience with Agile development methodologies and tools like Jira.
• Excellent problem-solving and analytical skills, proficient in resolving complex technical challenges.
• Strong communication and collaboration skills, proficient at working effectively in a team environment.

Desirable Skills:

• Practical experience developing applications that demonstrate advanced conversational AI models and frameworks for crafting AI Agents (e.g. Google ADK, LangChain, CrewAI).
• Experience with MLOps tools and frameworks such as MLflow or Kubeflow.
• Familiarity with data processing alongside artificial intelligence frameworks in Python (e.g., pandas, scikit-learn, TensorFlow, or PyTorch).
• Knowledge of data engineering principles and experience with data storage and processing technologies like BigQuery.
• An understanding of the ethical considerations and potential biases in AI and predictive algorithms.

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture.

We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know

We also offer a wide-ranging benefits package, which includes:

· A generous pension contribution of up to 15%

· An annual performance-related bonus

· Share schemes including free shares

· Benefits you can adapt to your lifestyle, such as discounted shopping

· 30 days' holiday, with bank holidays on top

· A range of wellbeing initiatives and generous parental leave policies

This is a once in a career opportunity to help shape your future as well as ours. Join us and grow with purpose.

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.