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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
Vacancy posted 1 day ago
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