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- Tasks: Build and scale backend systems for real-world AI applications in renewable energy.
- Company: Join a leading global innovator in renewable energy with a startup vibe.
- Benefits: Earn £575-700/day, enjoy remote work, and gain valuable experience.
- Why this job: Make a real impact on renewable energy while working with cutting-edge AI technologies.
- Qualifications: Senior backend experience in Python, C++/C#, and hands-on AI/ML skills required.
- Other info: Fully remote role with opportunities for mentorship and career growth.
AI Software Engineer, Contract, Backend Focus | Python, C++/C#, ML & LLMs | AWS/Azure | Data Handling | Renewable Energy Innovation Hub | £575-700/day, Outside | 6-month + | Remote, UK
We’re supporting a global leader investing heavily in renewable energy innovation. You’ll join a startup-style AI engineering team inside a major organisation – giving you both the scale and impact of an enterprise and the autonomy of a smaller unit.
This role is designed for a senior backend engineer (Python, C++ or C#) who has moved into AI/ML. The ideal profile is someone with deep backend fundamentals, strong Python skills, and proven experience building production-ready AI systems (GenAI, LLMs, RAG).
If you’ve worked across cloud platforms and designed scalable data/ML pipelines, you’ll be exactly the kind of candidate we want to speak with.
What You’ll Do as a AI Software Engineer, Contract, Backend Focus | Python, C++/C#, ML & LLMs | AWS/Azure | Data Handling | Renewable Energy Innovation Hub | £575-700/day | 6-month + | Remote, UK
- Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications.
- Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs.
- Design AI system architecture patterns and workflows (similar to large-scale data pipelines).
- Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness).
- Deploy solutions in multi-cloud environments (AWS, Azure) using Docker/Kubernetes.
- Apply modern MLOps practices (MLflow, SageMaker, Airflow) and CI/CD for productionisation.
- Collaborate on AI projects that accelerate renewable energy innovation globally.
- Mentor junior engineers/data scientists and drive technical design reviews.
What You’ll Bring as a AI Software Engineer, Contract, Backend Focus | Python, C++/C#, ML & LLMs | AWS/Azure | Data Handling | Renewable Energy Innovation Hub | £575-700/day | 6-month + | Remote, UK
- Backend first: Senior-level experience in Python (essential), with additional C++/C# skills valued.
- Applied AI: Hands-on experience with GenAI/LLMs, LangChain, LangGraph, and RAG pipelines.
- MLOps expertise: MLflow, SageMaker, Airflow, plus CI/CD and observability practices.
- Cloud & architecture: AWS/Azure and containerisation (Docker, Kubernetes).
- Experience handling large datasets and distributed systems (Spark).
- Strong grounding in algorithms, optimisation, and performance tuning.
- Hybrid skill set (approx. 60% backend, 20% AI/ML, 20% data engineering).
- Ability to work independently, contribute architectural insight, and deliver production-grade AI.
Contract Details for AI Software Engineer, Contract, Backend Focus | Python, C++/C#, ML & LLMs | AWS/Azure | Data Handling | Renewable Energy Innovation Hub | £575-700/day | 6-month + | Remote, UK
- Location: Fully Remote (uk-based)
- Rate: £575–700/day
- Length: 6-month rolling contract
- Start: ASAP preferable
AI Software Engineer, Contract, Backend Focus | Python, C++/C#, ML & LLMs | AWS/Azure | Data Handling | Renewable Energy Innovation Hub | £575-700/day, Outside | 6-month + | Remote, UK employer: Owen Thomas | Pending B Corp™
Contact Detail:
Owen Thomas | Pending B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer, Contract, Backend Focus | Python, C++/C#, ML & LLMs | AWS/Azure | Data Handling | Renewable Energy Innovation Hub | £575-700/day, Outside | 6-month + | Remote, UK
✨Tip Number 1
Network like a pro! Reach out to your connections in the renewable energy and AI sectors. Attend virtual meetups or webinars to get your name out there and make those valuable connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, or AI/ML. This is your chance to demonstrate your expertise in building production-ready systems and handling large datasets.
✨Tip Number 3
Don’t just apply anywhere; apply through our website! We’re all about finding the right fit for both you and us. Tailor your application to highlight your backend experience and cloud platform knowledge to stand out.
✨Tip Number 4
Prepare for technical interviews by brushing up on your algorithms and optimisation skills. Be ready to discuss your experience with MLOps practices and how you've contributed to AI projects in the past. Confidence is key!
We think you need these skills to ace AI Software Engineer, Contract, Backend Focus | Python, C++/C#, ML & LLMs | AWS/Azure | Data Handling | Renewable Energy Innovation Hub | £575-700/day, Outside | 6-month + | Remote, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend experience, especially with Python and any AI/ML projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for renewable energy and how your background in AI can contribute to our mission. Keep it engaging and personal!
Showcase Your Projects: If you’ve built any production-ready AI systems or scalable data pipelines, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Owen Thomas | Pending B Corp™
✨Know Your Tech Stack
Make sure you’re well-versed in Python, C++, and C#. Brush up on your experience with ML models and cloud platforms like AWS and Azure. Be ready to discuss specific projects where you've built scalable data pipelines or deployed AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to backend development and AI/ML. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Your MLOps Knowledge
Familiarise yourself with modern MLOps practices, including tools like MLflow, SageMaker, and Airflow. Be prepared to explain how you’ve implemented CI/CD in your past projects and how it improved your workflow.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to renewable energy innovation and how the AI team collaborates on projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.