At a Glance
- Tasks: Design and deploy cutting-edge GenAI solutions for a global energy organisation.
- Company: Join a major player in the energy sector with a focus on innovation.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Fast-paced environment with potential for contract extension.
- Why this job: Make a real impact by implementing AI solutions that drive business success.
- Qualifications: Hands-on experience in AI engineering and strong Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
We are supporting a major global energy organisation in scaling advanced AI capability across its Supply, Trading & Shipping (ST&S) business supporting teams across Europe and the US. We are looking for 2x Senior AI Engineers with strong, hands-on experience designing, building, and deploying production-grade GenAI and agentic AI solutions within enterprise environments. This is a delivery-focused engineering role, not a traditional data science or research-led position. The client is specifically seeking individuals who have successfully implemented real-world AI systems that support business operations and commercial decision-making. The successful candidates will work closely with trading and commercial stakeholders to develop practical AI-driven solutions within a fast-paced, iterative environment.
Key Responsibilities
- Design, build, and deploy production-grade GenAI / LLM / agentic AI solutions
- Develop scalable AI workflows and integrations aligned to business use cases
- Work directly with trading and commercial users to translate requirements into practical AI solutions
- Build and maintain AI orchestration, evaluation, and monitoring capabilities
- Integrate AI services with enterprise systems, APIs, and data pipelines
- Support rapid prototyping and iterative delivery of AI functionality
- Contribute to architecture, tooling, and engineering best practices across AI delivery
Required Experience
- Strong hands-on AI engineering experience focused on GenAI, LLMs, and agentic AI systems
- Proven experience deploying AI solutions into live production environments
- Deep practical understanding of modern AI tooling and frameworks
- Experience with agent frameworks, orchestration, evaluation methodologies, and AI workflow design
- Strong Python engineering capability
- Experience building APIs, integrations, and scalable data pipelines
- Comfortable working in cloud-native and containerised environments
- Strong stakeholder engagement and communication skills
- Comfortable operating in fast-paced, evolving delivery environments
Highly Desirable
- Experience within commodities, trading, front-office, or market-facing environments
- Energy or oil & gas industry exposure
- Experience supporting globally distributed teams across UK and US time zones
Important Context
The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery. This role requires candidates with genuine hands-on experience implementing enterprise AI systems in real-world environments. Candidates with primarily academic, experimental, or early-stage AI exposure are unlikely to be suitable.
Candidate Profile
The ideal candidate will be able to demonstrate:
- Production deployment of GenAI / LLM / agentic AI systems
- Strong engineering and integration capability
- Practical experience with AI orchestration and evaluation
- Ability to engage directly with business stakeholders
- Delivery-focused mindset with strong commercial awareness
Senior AI/ML Specialist employer: RedCat Digital
Join a leading global energy organisation that prioritises innovation and collaboration in the rapidly evolving field of AI. With a strong focus on employee growth, you will have the opportunity to work on cutting-edge projects that directly impact business operations while enjoying a flexible remote working environment with occasional onsite collaboration in London. The company fosters a dynamic work culture that values practical solutions and encourages continuous learning, making it an excellent employer for those seeking meaningful and rewarding careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/ML Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI/ML roles. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on projects, especially those involving GenAI and agentic AI solutions. This will give potential employers a taste of what you can do and how you can contribute to their teams.
✨Tip Number 3
Prepare for interviews by brushing up on real-world applications of AI. Be ready to discuss your past experiences in deploying AI solutions and how they impacted business operations. We want to see that delivery-focused mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals who can hit the ground running in fast-paced environments like the one we’re supporting.
We think you need these skills to ace Senior AI/ML Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with GenAI and agentic AI systems. We want to see how you've designed, built, and deployed solutions in real-world environments, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. We love seeing candidates who can translate complex AI concepts into practical business solutions, so share your relevant experiences.
Showcase Your Projects:If you’ve worked on any production-grade AI projects, make sure to mention them! We’re interested in your ability to deliver results, so include specific examples of how your work has impacted business operations or decision-making.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at RedCat Digital
✨Showcase Your Hands-On Experience
Make sure to highlight your practical experience with GenAI and agentic AI systems. Prepare specific examples of projects where you've designed, built, and deployed production-grade solutions. This will demonstrate your ability to deliver real-world AI systems that support business operations.
✨Understand the Business Context
Familiarise yourself with the energy sector, particularly in trading and shipping. Research how AI can enhance decision-making in these areas. Being able to discuss how your skills can directly impact their operations will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about AI workflows, integrations, and orchestration. Brush up on your Python skills and be ready to explain your approach to building APIs and scalable data pipelines. Practical knowledge is key, so be prepared to discuss your engineering best practices.
✨Engage with Stakeholders
Since this role involves working closely with trading and commercial users, practice articulating how you translate technical requirements into practical AI solutions. Show that you can communicate effectively with non-technical stakeholders, as this will be crucial in a fast-paced environment.
