AI Engineer

AI Developer (Python) – London | £50,000–£75,000 DOE | Office-based

We’re looking for a talented and enthusiastic AI Developer (Python) to join a growing team building a next-generation trading and investment platform. This is a greenfield opportunity where your contribution will have a direct impact from day one.

Why join?

Work on a new platform with no legacy systems or tech debt.

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Direct impact: Your work shapes the future of the product.

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Growth opportunities: Join early and grow with the team.

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Embrace AI applications in software development while adhering to best practices in AI governance and risk management.

Key Responsibilities:

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Build and maintain AI agent services and APIs.

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Develop internal tools that support AI-native workflows.

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Establish best practices for prompt engineering, model fine-tuning, and evaluation.

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Stay up to date with AI/ML developments and apply relevant research to product needs.

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Participate in design and code reviews, and incident response.

Skills & Experience:

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Bachelor’s degree in Computer Science, Engineering, or equivalent.

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Strong software development skills, with experience in Python (other languages such as Java or TypeScript a plus).

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Solid Machine Learning fundamentals and familiarity with LLM integration, prompt orchestration, and Retrieval-Augmented Generation (RAG).

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Experience with AI frameworks (PyTorch, TensorFlow, Hugging Face).

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Preferred: experience with AWS or cloud-based AI deployments.

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Self-motivated, growth-oriented, and collaborative.

Success in this role:

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Deliver high-quality, maintainable code.

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Take ownership of tasks end-to-end, from design through deployment.

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Quickly apply emerging AI-native engineering patterns.

Logistics:

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Location: London (office-based, Monday to Friday)

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Salary: £50,000–£75,000 DOE

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Benefits: Performance-based bonus, contribution pension scheme, professional growth opportunities

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Eligibility to work in the UK required (no visa sponsorship provided)

We’re looking for someone excited by innovation, AI, and working in a collaborative, fast-moving environment