AI Engineer
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Role details
Tech stack
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Job description
- Design, develop and deploy AI solutions using Microsoft Azure and modern AI technologies.
- Build and integrate generative AI applications, including LLM-powered solutions.
- Develop AI workflows, APIs and services that integrate with existing business systems.
- Work with data and engineering teams to prepare data and optimise AI model performance.
- Implement responsible AI practices, security controls and appropriate governance.
- Support the deployment, monitoring and continuous improvement of AI solutions.
Requirements
- 1-2 years commercial experience as an AI Engineer, Machine Learning Engineer or Software Engineer with a strong AI focus.
- Experience building and deploying AI or machine learning solutions in production environments.
- Strong Python development skills and experience working with APIs.
- Experience with Microsoft Azure AI services, Azure OpenAI or similar cloud-based AI platforms.
- Understanding of generative AI, large language models (LLMs), prompt engineering and retrieval-augmented generation (RAG).
- Knowledge of software engineering best practices, version control, testing and CI/CD.
Nice to Have
- Experience with Azure AI Foundry or Azure AI Search.
- Exposure to vector databases, embeddings and document retrieval pipelines.
- Experience with LangChain, LangGraph or similar AI development frameworks.
- Knowledge of machine learning frameworks such as PyTorch, TensorFlow or scikit-learn.
- Experience with Docker, Kubernetes or deploying AI workloads at scale.
- Previous experience within fintech, banking or other regulated financial services environments.
Benefits & conditions
Salary: £70,000-£90,000
Benefits: Competitive Benefits Package, Pension, Bonus, Private Healthcare, Life Assurance and Annual Leave
About the company
I’m working with a growing business in the fintech and banking sector looking to hire an experienced AI Engineer to help build and deploy AI-driven solutions across its technology platforms.
You’ll work on developing and integrating AI capabilities, with a focus on generative AI, machine learning and Microsoft Azure. Working closely with software engineering, data and architecture teams, you’ll play a key role in turning emerging AI technologies into secure, scalable solutions that deliver real business value within financial services. The business has been going for 15+ years and develop SaaS products delivered into FinTech, Banking & Insurance businesses across London & the UK.
This role requires office working of 2 days a week in Central London.
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