Why this role stands out
This hybrid AI Engineer role offers a fantastic opportunity to shape innovative AI solutions within a reputable financial sector client, working on exciting new projects with a dedicated team. If you're a mid-senior technologist with strong Azure and software engineering skills, eager to leverage your expertise in machine learning and drive impactful data-driven decisions, this role is an excellent next step in your career. Apply today to join a growing team and contribute to cutting-edge AI development.
Quick overview
Job description
Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in the AI team of 20 to work on new projects and products, using data to make smarter, better decisions.
Client Details
Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in the AI team of 20 to work on new projects and products, using data to make smarter, better decisions.
Description
- Design, develop, and implement AI-driven solutions to address complex business challenges.
- Collaborate with cross-functional teams to integrate AI technologies into existing systems.
- Research and apply advanced machine learning algorithms and techniques to improve business processes.
- Analyse large datasets to derive actionable insights and drive data-driven decision-making.
- Develop and maintain scalable AI models using industry best practices.
- Monitor the performance of AI systems and troubleshoot issues as they arise.
- Provide technical expertise and guidance to colleagues and stakeholders.
- Stay up-to-date with emerging trends and advancements in AI and machine learning.
Profile
Must haves:
- Software Engineering experience - ideally C# or Python
- Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc)
- Experience dealing with stakeholders, working with a wider tech team, collabortation etc
- Experience designing, testing and deploying production-scale GenAI (not just proof of concepts)
Then a mixture of the following on top:
- GenAI
- LLM APIs
- Experience designing, testing and deploying AI/ML solutions
- Chat Bots / Agents
- FastAPI
- Microsoft Agent Framework
- LangChain
- Vector database
- ML Engineering
Job Offer
- Car allowance of 5k
- Private medical
- 25 days + BHS
- Option to buy 10 more holidays
- Matched pension
- Life assurance
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