Application Developer

Contract type:
Permanent
Location:
London

Roles: x 2
Working style:
Hybrid 50% home/office based
Closing date: 6th March 2026

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.

You will collaborate with experienced engineers, data scientists and data engineers to develop impactful solutions, tackle complex challenges, and support the delivery of AI initiatives across RLAM. You will also have opportunities to learn, grow and collaborate in a supportive, fast-moving environment.

• 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.

• 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

• 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, Num Py, 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.

• 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, Git Hub, coursework, hackathons)

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.

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.

We're an inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.

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