Application Developer

We areseekingtalented and motivated individuals to join ourDevelopment Teamworking intheAI Squadwithin theDevelopment Team. This role is ideal for graduates orearlycareerdevelopers with strong programming fundamentals a genuine enthusiasm for AI and a curiosity to explore how AI can be applied to solverealworldproblems.

Wereparticularlykeen to hear frominterested incandidateswhodemonstratestrong foundational engineering capabilities alongside evidence ofself-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 selflearning and experimentation with modern technologies.

In this roleyoullcollaborate 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 will be supported to learn and grow in a fast-moving collaborative environment that values curiosity adaptability and continuous improvement.

Youll be supported to learn grow and build your technical and professional skills in a fastmoving collaborative and supportive environment where curiosity and innovation are encouraged.

About the role

• 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

• Build production-quality software focusing on well-structured maintainable applications and services

• Design and integrate with external systems and services developing an understanding of how modern applications interact and operate

• Get hands-on with AI and Generative AI exploring how these techniques canenhance and extend software solutionswithin real-world applications

• Collaborate with engineers and data specialists to integrate AI into live systems working acrossdata pipelines APIs and cloud platforms

• Develop an understanding of how AI solutions are built evaluated and monitored within production environments

• Learn and apply principles ofresponsible AI including fairness explainability and governance

• 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 featureswhile learning solid engineering practices APIs and cloudbased integration.

• Get handson with AI and Generative AI from building models to experimenting with prompt engineering finetuning 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 stayaccurateand 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.

About you

Qualification

• 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

Technical Skills

SolidStrongfoundation insoftware engineeringparticularlyobjectorientedprogramming ( or C#)alongside an understanding of core software engineering concepts such as data structures algorithms and SOLID principles.

• Demonstrable ability to buildstructured software applications(e.g. use of classes modular design)

• 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 andOpenAPIstandards for building and consuming modern services.

• Exposure to data science and machine learning tools such asPyTorch scikitlearn NumPy Pandas Matplotlib SeabornXGBoost or NLTK with an interest in applying them to realworld problems.

• Growing understanding of modern AI approaches including LLMs andRetrievalAugmentedGeneration (RAG) and how these models are designed evaluated and integrated into applications.

• Experience (or willingness to learn) unit testing frameworks likePyTestXUnit orNUnitto ensure code quality and build good engineering habits early on.

• Exposure to data science and machine learning tools such asPyTorchscikitlearn NumPy Pandas Matplotlib SeabornXGBoost or NLTK with an interest in applying them torealworldproblems.

Desirable

• Prior internship or work experience insoftware developmentDdatasScience or AI

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

• AwarenessKnowledgeof CI/CDconcepts

• Exposure to emerging concepts such asKnowledge ofAgentic AI

• Exposure toGit/andversion controlpracticesbasics(branching merging conflict resolution)

• Knowledge of CI/CD

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