Roles: x 2
Working style: Hybrid 50% home/office based
We are seeking talented and motivated individuals to join our Development Team working in the AI Squad within the Development Team. This role is ideal for graduates or early‑career developers with strong programming fundamentals, a genuine enthusiasm for AI, and a curiosity to explore how AI can be applied to solve real‑world problems.
We’re particularly keen to hear from interested in candidates who demonstrate strong foundational engineering capabilities, alongside evidence of self-driven learning, experimentation, and intellectual curiosity. This may include internships, hackathons, personal or academic projects, or other practical experience that goes beyond academic coursework.
who have demonstrated their interest through internships, hackathons, personal or academic projects, or relevant coursework, and who show clear evidence of self‑learning and experimentation with modern technologies.
In this role, you’ll collaborate closely with experienced software engineers, data scientists, and data engineers to develop impactful solutions, tackle complex challenges, and support the delivery of AI initiatives across RLAM. You will be supported to learn and grow in a fast-moving, collaborative environment that values curiosity, adaptability, and continuous improvement.
You’ll be supported to learn, grow, and build your technical and professional skills in a fast‑moving, collaborative, and supportive environment where curiosity and innovation are encouraged.
Work on real RLAM software products — designing, building, and testing features while applying solid engineering practices, including object-oriented design, clean code principles, and structured application development
Collaborate with engineers and data specialists to integrate AI into live systems, working across data pipelines, APIs, and cloud platforms
Develop an understanding of how AI solutions are built, evaluated, and monitored within production environments
Operate within agile delivery teams — contributing to sprint goals, breaking down work, documenting solutions, and sharing knowledge
Work effectively in iterative delivery environments, adapting to evolving technologies and requirements within a rapidly advancing AI landscape
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.
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
Solid Strong foundation in software engineering, particularly object‑oriented programming (e.g. Python or C#), alongside an understanding of core software engineering concepts such as data structures, algorithms, and SOLID principles.
Strong grounding in core programming concepts, including data structures, algorithms, and software design principles (e.g. SOLID)
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.
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.
Experience with AI development tools and platforms (e.g., Azure, Snowflake, AWS, GCP)
About Royal London Asset Management
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.
Inclusion, diversity and belonging
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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