At a Glance
- Tasks: Collaborate with teams to create AI solutions that tackle real-world challenges.
- Company: Leading commodity trader in Oil Energy and Metals Trading.
- Benefits: Competitive salary, flexible work options, and opportunities for continuous learning.
- Other info: Fast-paced environment with room for growth and innovation.
- Why this job: Join a dynamic team and shape the future of AI in trading.
- Qualifications: Degree in relevant field and strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
Our client is a leading commodity trader with a significant footprint in Oil Energy and Metals Trading.
We are looking for a hands-on Forward Deployed AI Engineer. This role spans across engineering and commercial teams. You will sit directly with commercial users, build and ship agentic solutions that solve real workflow problems, and communicate technical requirements back to our foundational engineering teams.
Responsibilities
- Embed with commercial teams to understand their workflows, constraints, and business objectives; identify high-value opportunities for AI solutions.
- Translate business problems into clear technical requirements, solution designs, and delivery plans to build, integrate, and deploy agentic solutions.
- Development of internal GenAI platform, extending its capabilities through new integrations, data connectors, MCP servers, tool-calling, and domain-specific skills.
- Apply a broad range of AI and modelling techniques, including LLMs, RAG, NLP, time-series forecasting, and optimization, to commodity pricing, supply/demand signals, trade flow analysis, and operational optimization problems.
- Communicate requirements, technical constraints, and reusable patterns back to the foundational AI and platform engineering teams.
- Present capabilities, assumptions, and limitations clearly to traders and senior management, supporting confident commercial decision-making and building trust in AI outputs among technical and non-technical audiences.
- Champion AI best practice on the desk and across the team.
Skills / Qualifications
- Degree in computer science, statistics, mathematics, data science, or related field.
- Fluency in Python for both applied AI and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices.
- Minimum 3 years of experience in software engineering, AI engineering, machine learning, data science or a related hands-on technical role.
- Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations. Including proficiency with modern GenAI orchestration and tooling frameworks (e.g. LangChain, LlamaIndex, or equivalent).
- Experience with cloud platforms (AWS preferred).
- Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders.
- Self-motivated and comfortable working autonomously in a fast-paced environment.
- Strong curiosity for emerging AI developments, with a proactive commitment to continuously learning, experimenting and expanding your skills.
Open to candidates with a background in a top-tier investment bank or hedge fund, frontier lab, or Bigtech.
Forward Deployed AI Engineer employer: Options Group
Options Group is an excellent employer, offering a vibrant work culture that fosters collaboration and innovation within the private markets investment team in Greater London. Employees benefit from comprehensive learning and development opportunities, competitive compensation, and the chance to work on impactful projects in private equity secondaries and co-investments, making it a rewarding environment for aspiring finance professionals.
