Application Developer

Work on real RLAM software products - designing, developing, and testing features while learning solid engineering practices, APIs, and cloud-based integration.

• Get hands-on with AI and Generative AI, from building models to experimenting with prompt engineering, fine-tuning, safety alignment, and early agentic AI concepts.

• Learn how to build responsible AI by applying fairness, explainability, and governance principles, and by monitoring models to make sure they stay accurate and robust.

• Collaborate with experienced engineers and data specialists to integrate AI into live systems, helping with data preparation and understanding how cloud and platform services fit together.

• Work in agile sprints, break down tasks, contribute to documentation, share knowledge, and keep building your skills as you stay up to date with the latest AI and ML developments.

Do you have experience in xUnit?, Do you have a Master's degree?, We are seeking talented and motivated individuals to join our AI Squad within the Development Team. This role is ideal for graduates with a strong foundation in Artificial Intelligence, Machine Learning (ML) and programming, combined with curiosity, problem solving ability, and a passion for AI and a willingness to experiment and learn in a fast-paced environment., * A First-Class/2:1 degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related field

• We encourage all students to apply, from recent graduates through to MSc/PhD

• Please note we cannot sponsor visas

Technical Skills

• Solid foundation in object-oriented programming (Python or C#), alongside an understanding of core software engineering concepts such as data structures, algorithms, and SOLID principles.

• Confident working with SQL to query, manipulate, and analyse structured data, plus familiarity with REST APIs and OpenAPI standards for building and consuming modern services.

• Exposure to data science and machine learning tools such as PyTorch, scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, XGBoost, or NLTK, with an interest in applying them to real-world problems.

• Growing understanding of modern AI approaches, including LLMs and Retrieval-Augmented Generation (RAG), and how these models are designed, evaluated, and integrated into applications.

• Experience (or willingness to learn) unit testing frameworks like PyTest, XUnit, or NUnit to ensure code quality and build good engineering habits early on.

Desirable

• Prior internship or work experience in Data Science, AI or Machine Learning

• Experience with AI development tools and platforms (e.g., Azure, Snowflake, AWS, GCP)

• Knowledge of Agentic AI

• Git/version control basics (branching, merging, conflict resolution)

• Knowledge of CI/CD

• Evidence of self-learning (projects, GitHub, coursework, hackathons

We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.

Royal London Asset Management (RLAM), part of the Royal London Group, is one of the UK's leading fund management companies working with a wide range of clients across the globe to achieve their investment goals. Our long-term, client-driven focus means that we have a long-standing commitment to responsible investment. We act as responsible stewards of our clients' capital, exercising their rights and influencing positive change. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.