At a Glance
- Tasks: Design and deliver AI-driven tools for energy trading, transforming complex data into actionable insights.
- Company: Join a global leader in energy trading and analytics with a focus on innovation.
- Benefits: Enjoy 25 days annual leave, work from home options, and a competitive salary.
- Other info: Collaborate with traders and experts in a dynamic, supportive environment.
- Why this job: Make a real impact in energy trading using cutting-edge AI technology.
- Qualifications: Strong experience in applied AI, Python, and data engineering concepts required.
The predicted salary is between 60000 - 80000 £ per year.
Type of Role: Permanent
Location and Travel: London, hybrid working model with 2–3 days per week in the office. No travel is required.
Role Summary: 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
Client Description: 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.
About Aubay: 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 the most recently started branch of Aubay Group. Aubay Group is an international Digital Services Company, listed on a Euronext Stock Exchange, who have been operating for 25 years in the European market and working alongside some of the biggest names in the Banking, Finance, Insurance, Energy, IT/Digital, Manufacturing, Transport and Telecoms sectors. With over 7,800 employees across 7 countries and 16 offices in England, France, Belgium, Luxembourg, Italy, Spain, and Portugal, Aubay Group generated revenues of €513 million in 2022.
At Aubay UK, people are at the heart of our business. We offer a competitive remuneration package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client. 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) 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)
✨Tip Number 1
Network like a pro! Connect with professionals in the energy trading and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy to reach out 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 knowledge of the energy market and AI applications. Be ready to discuss how your experience aligns with the role's requirements. Practice explaining complex concepts in simple terms – it’s all about clear communication!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Applied AI Engineer – Decision Support (Energy Trading)
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. Keep it concise but impactful!
Showcase Your Communication Skills:Since you'll be working closely with traders and experts, it's crucial 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 from us!
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 designed explainable AI outputs.
✨Understand the Energy Trading Landscape
Familiarise yourself with the energy trading sector, particularly commodities and financial markets. Knowing how live pricing feeds work and the importance of data quality will give you an edge. It’s all about showing that you can translate complex data into actionable insights for traders.
✨Communicate Like a Pro
Strong communication skills are key for this role. Practice explaining technical concepts in simple terms, as you’ll need to collaborate closely with traders and subject matter experts. Think about examples where you’ve successfully communicated complex ideas in past roles.
✨Prepare for Real-World Scenarios
Be ready to tackle real-world use cases during your interview. They might ask you to design a decision-support tool or discuss how you would implement feedback loops for iterative improvement. Show them your problem-solving skills and how you can apply your knowledge to practical situations.