At a Glance
- Tasks: Design and deliver AI-driven tools for energy trading decision support.
- Company: Join Aubay UK, a leading digital services company in the energy sector.
- Benefits: Enjoy 25 days annual leave, work from home options, and training opportunities.
- Other info: Collaborate with traders and experts in a dynamic, supportive environment.
- Why this job: Make an impact in energy trading with cutting-edge AI technology.
- Qualifications: Experience in applied AI, Python, and data engineering required.
The predicted salary is between 60000 - 80000 £ per year.
Aubay UK is seeking an Applied AI Engineer – Decision Support (Energy Trading) to join a permanent engagement based in London. This role focuses on designing and delivering AI-driven decision-support tools for energy trading, with an emphasis on transforming complex market, pricing, and internal analytics data into clear, thesis-driven insights. The successful candidate will work on a trading use case, building scalable, explainable AI systems that support traders' decision-making without automated execution, while meeting strict security, compliance, and governance standards.
Required Skills and Experience
- Strong experience building applied AI or machine learning systems in production environments
- Proficiency in Python for data processing, model integration, and orchestration
- Experience deploying services on Kubernetes-based infrastructure
- Solid understanding of data engineering concepts, including data quality, freshness, and monitoring
- Experience integrating multiple data sources (public and proprietary) into coherent analytical workflows
- Ability to design explainable, transparent AI outputs suitable for decision support
- Strong communication skills and ability to work closely with traders and subject matter experts
Desired Skills and Experience
- Experience in commodities, energy trading, or financial markets
- Familiarity with live pricing feeds and market data systems
- Experience implementing human-in-the-loop or feedback-driven learning systems
- Knowledge of evaluation frameworks for model robustness, sensitivity, and consistency
- Experience working in regulated or security-conscious enterprise environments
Role Responsibilities
- Design and implement AI-driven decision-support components for energy trading use cases
- Integrate public market data with proprietary internal analytics and live pricing inputs
- Develop thesis-first reasoning frameworks that generate trade ideas with evidence, risks, and counter-arguments
- Implement feedback loops to capture trader ratings and comments for iterative improvement
- Build and maintain evaluation tooling for sensitivity, robustness, and consistency testing
- Ensure solutions meet security, compliance, and data-handling standards
- Collaborate closely with traders, data scientists, and platform engineers to iterate on usability and quality
Our client is a global energy trading and analytics organisation operating across physical and financial commodity markets. The organisation leverages advanced analytics, data science, and digital platforms to support trading decision-making across distillates and other energy products, with a strong focus on security, governance, and scalable cloud-native infrastructure.
Aubay UK is a recognised InSourcing Partner for client-side deployment delivered across London. Our team, based in Canary Wharf, specialises in hiring IT professionals within London's Energy and FinTech sectors, helping our clients to expand their operations with top-tier talent who are experts in their fields. We work exclusively with clients who are globally recognized as Energy Super Majors/Financial Services and innovative FinTech players.
Aubay UK is proud to be an equal opportunity employer. All aspects of employment decisions will be based on merit, competence, performance, and business needs.
- 25 Days Annual Leave
- Work From Home Opportunities
- Pension Scheme
- Opportunities to Work Directly with our Client
- Training Opportunities
- Discount Holidays at I'Aero Chalet
Applied AI Engineer – Decision Support (Energy Trading) in London employer: Aubay
Aubay UK is an exceptional employer, offering a dynamic work environment in the heart of London with a hybrid working model that promotes work-life balance. Employees benefit from a competitive remuneration package, extensive training opportunities, and the chance to collaborate with leading experts in the energy trading sector, all while contributing to innovative AI-driven solutions that shape the future of decision-making in this critical industry.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer – Decision Support (Energy Trading) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading and AI space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to decision support or energy trading. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate closely with traders and other experts. Remember, it’s all about making those connections!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at Aubay UK.
We think you need these skills to ace Applied AI Engineer – Decision Support (Energy Trading) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Applied AI Engineer role. Highlight your experience with AI systems, Python, and any relevant projects that showcase your skills in energy trading or decision support.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in energy trading and how your background makes you a perfect fit for the team at Aubay UK.
Showcase Your Communication Skills:Since you'll be working closely with traders and experts, it's important to demonstrate your strong communication skills. Mention any experiences where you've successfully collaborated with others to achieve a common goal.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Aubay
✨Know Your AI Stuff
Make sure you brush up on your applied AI and machine learning knowledge. Be ready to discuss your experience building systems in production environments, especially using Python. They’ll want to hear about specific projects where you’ve integrated data sources and how you ensured data quality.
✨Understand the Energy Trading Landscape
Familiarise yourself with the energy trading sector, including commodities and financial markets. Knowing about live pricing feeds and market data systems will give you an edge. It’s all about showing that you can translate complex data into actionable insights for traders.
✨Communicate Clearly
Strong communication skills are a must! Practice explaining technical concepts in simple terms, as you’ll need to collaborate closely with traders and subject matter experts. Think about how you can convey your ideas clearly and concisely during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach problem-solving, especially in designing explainable AI outputs. They’ll be interested in your ability to implement feedback loops and iterative improvements. Bring examples of how you’ve tackled challenges in past projects.
