AI Engineer

AI Engineer

It's no wonder we can go further, faster together. We're a team of 450+ professionals from 50+ nationalities, all commercially driven, entrepreneurial and ready to turn potential into progress. Not just for us, but for the world too.

At STX, we're focused on more than just making money. We're here to make a profit with a purpose. Because for us, nothing's more important than being able to trade in environmental commodities and create the most effective decarbonization strategies for our clients. Join us and together we can change the world – one trade at a time.

Your success story starts here…

Team And Role:

As an AI Engineer, you will play a pivotal role in transforming how we work, applying cutting-edge technologies like Large Language Models (LLMs) to streamline operations, enhance data intelligence, and drive real business value. You'll be part of a growing technology function that's helping us evolve from a traditional cost centre to a true strategic partner. By building intelligent systems, automating key workflows, and embedding AI into the heart of our operations, you'll help STX move faster, work smarter, and make an even greater impact.

Key Responsibilities:

• Design, develop, and deploy AI-powered tools and agents using LLMs to support document processing, summarization, and workflow automation.
• Build and maintain multi-agent systems that drive intelligent automation using platforms like LangChain or Semantic Kernel.
• Integrate AI capabilities into our cloud environment (AWS preferred) to ensure solutions are scalable, secure, and production-ready.
• Partner with engineering, operations, and business stakeholders to identify high-impact opportunities for AI-driven automation.
• Implement MLOps practices for continuous deployment, monitoring, and lifecycle management of machine learning and AI models.

Key Requirements:

• 5+ years of experience in AI/ML, NLP, or data-focused software engineering roles.
• Strong Python programming skills and familiarity with AI/ML frameworks such as LangChain, TensorFlow, or PyTorch.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and building AI agents.
• Experience with cloud platforms (preferably AWS, but Azure or GCP is also acceptable), and exposure to big data tools.
• Working knowledge of MLOps, including model versioning, pipeline orchestration, and production deployment.

Compensation And Benefits:

Competitive remuneration package, pension scheme contributions, sport and training opportunities, strong focus on personal and professional development.

Diversity Statement:

We encourage and welcome applications from candidates of diverse backgrounds, experiences, and perspectives to enhance our team and contribute to a more inclusive work environment. Diversity, equity, inclusion, and belonging are more than just concepts – they are part of our everyday work culture, ensuring employees are welcomed and experience true camaraderie.

At STX, we ask applicants to think holistically about roles. If the role sounds exciting and a great fit for you but some of the criteria or required experience doesn't 100% line up, we still encourage you to apply!

Apply For The Vacancy:

If you have any questions or would like to talk about this position, please do reach out to:

Recruitment Coordinator Megan Cowell