At a Glance
- Tasks: Design and build scalable AI platforms using cutting-edge technologies.
- Company: Leading investment firm at the forefront of AI innovation.
- Benefits: Competitive pay, bonuses, exceptional benefits, and a culture of continuous learning.
- Other info: Collaborate with top talent in a dynamic, engineering-led environment.
- Why this job: Join a team tackling groundbreaking AI challenges with real-world impact.
- Qualifications: 5+ years in software engineering, strong Python skills, and AI framework experience.
The predicted salary is between 63000 - 77000 £ per year.
Our client is one of the world's leading investment firms, managing tens of billions of dollars across global markets.
Technology sits at the heart of the organisation, powering everything from investment decision making to operational excellence.
As part of a significant investment into Artificial Intelligence, they are building a next-generation AI platform that will underpin the firm's adoption of Generative AI and autonomous systems.
They are seeking an AI Platform Engineer to help define, build and scale the infrastructure that enables AI to be consumed securely and efficiently across the business.
This is a rare opportunity to join a highly technical, engineering-led environment where you'll work alongside some of the industry's brightest minds on genuinely cutting-edge problems.
- What You'll Get
- Work with frontier and open-source models, including the latest LLM technologies.
- Build enterprise AI capabilities from the ground up in a greenfield environment.
- Design and deliver platforms that will be leveraged by hundreds of engineers and business users globally.
- Significant ownership across architecture, engineering and deployment.
- Collaborate with a world-class team of Software Engineers, Platform Engineers and AI specialists.
- Exposure to large-scale distributed systems, cloud technologies and modern MLOps practices.
- Competitive compensation, discretionary bonus and an exceptional benefits package.
- A culture that encourages innovation, experimentation and continuous learning.
What You'll Do
- Design, build and operate scalable Python services and APIs that power AI-enabled applications.
- Deploy, fine-tune and manage commercial and open-source LLMs across production environments.
- Build cloud-native infrastructure leveraging Kubernetes and modern platform engineering principles.
- Develop tooling to support model orchestration, observability, evaluation and governance.
- Partner closely with engineering and business stakeholders to deliver practical AI solutions with measurable impact.
- Contribute to the firm's broader AI strategy, engineering standards and best practices.
- Help shape the evolution of an enterprise AI platform supporting current and future use cases, including AI agents and autonomous workflows.
- What You'll Need
- Strong software engineering fundamentals with 5+ years of commercial experience.
- Excellent Python development skills and experience building production-grade services and APIs.
- Experience working with Large Language Models and modern AI frameworks (e. g. Lang Chain, Lang Graph, DSPy, Llama Index, Open AI, Anthropic or similar).
- Exposure to MLOps, model serving or AI infrastructure.
- Experience with Kubernetes and cloud-native technologies.
- Familiarity with containerisation and CI/CD pipelines.
- Experience working with distributed systems and high-availability environments.
- Excellent communication skills and the ability to engage with both technical and non-technical stakeholders.
- Nice to Have
- Experience with vector databases, RAG architectures and agentic AI systems.
- Exposure to data engineering technologies (Kafka, Airflow, Spark, etc.).
- Experience within financial services, fintech or other regulated environments.
- Knowledge of GPU infrastructure, model optimisation or inference platforms.
- Contributions to open-source projects or a demonstrable passion for AI outside of work.
Interested?
We're particularly interested in speaking with engineers who have built AI platforms rather than simply consumed APIs.
If you've deployed LLMs into production, built tooling around them and enjoy solving difficult engineering problems at scale, this could be an exceptional opportunity.
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AI Platform Engineer in London employer: Tempest Vane Partners
At our London-based multi-strategy hedge fund, we pride ourselves on being a technology-first organisation that places data infrastructure at the heart of our investment strategies. We offer a dynamic work culture that fosters collaboration and innovation, providing engineers with significant opportunities for professional growth while working on cutting-edge cloud-native technologies and large-scale distributed systems. Join us to be part of a team that values intellectual curiosity and technical excellence in a fast-paced environment where your contributions directly impact our trading operations.
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We think you need these skills to ace AI Platform Engineer in London
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