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 80000 - 98000 £ per year.
Our client is a leading commodity trader with a significant footprint in Oil Energy + 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 in London 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.
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We think this is how you could land Forward Deployed AI Engineer in London
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We think you need these skills to ace Forward Deployed AI Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Options Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Options Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Options Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Options Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
