AI Developer

AI Application Developer | Python, Machine Learning & Generative AI Location: London (Hybrid – 50% Office / 50% Home) Type: Permanent AI. Machine Learning. Generative AI. Asset Management. An exciting opportunity has arisen for a talented Application Developer to join a newly established AI Squad within a leading UK Asset Manager. This role is ideal for individuals with a strong foundation in Artificial Intelligence, Machine Learning, Software Engineering, or Data Science who are looking to apply their technical skills in a real-world environment and contribute to the development of innovative AI solutions. Working alongside experienced Engineers, Data Scientists and Data Engineers, you will play a key role in developing AI-powered applications, exploring Generative AI use cases, and helping shape the future of AI across the organisation. Key Responsibilities: • Design, develop and implement AI and Machine Learning solutions • Build software features across enterprise applications and data platforms • Develop Generative AI solutions using LLMs, RAG architectures and prompt engineering techniques • Explore OpenAI APIs, Azure AI services and emerging AI technologies • Contribute to the design and development of Agentic AI systems • Collaborate with Data Scientists, Engineers and business stakeholders to deliver AI-driven outcomes • Build and integrate APIs and cloud-based services • Support model development, testing, deployment and performance monitoring • Participate in Agile delivery, sprint planning, code reviews and engineering best practices • Contribute to technical documentation, knowledge sharing and continuous improvement initiatives Required Skills & Experience: • Degree in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline (2:1 or above) • Strong programming skills in Python and/or C# • Understanding of object-oriented development principles and software engineering best practices • Knowledge of machine learning concepts and frameworks including: • PyTorch • Scikit-Learn • NumPy • Pandas • XGBoost • NLTK • SQL skills with the ability to query and manipulate structured datasets • Understanding of REST APIs and API integration • Familiarity with Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and Generative AI concepts • Experience with unit testing frameworks such as PyTest, NUnit or xUnit • Strong analytical and problem-solving skills Desirable Experience: • Internship, placement year or commercial experience within AI, Machine Learning or Data Science • Exposure to Azure, AWS, GCP or Snowflake • Knowledge of Agentic AI frameworks and autonomous AI systems • Experience using Git and version control tools • Understanding of CI/CD principles and deployment pipelines • Personal projects, hackathons, GitHub contributions or evidence of self-directed learning Why Apply? • Join a dedicated AI function within a leading investment management organisation • Work on cutting-edge Generative AI and Machine Learning initiatives • Exposure to OpenAI, Azure AI and emerging AI technologies • Collaborative environment working alongside experienced engineers and data specialists • Clear opportunities for learning, development and career progression • Hybrid working model with flexibility built in