Senior AI Software Engineer, Contractor, Backend focused | Python, TypeScript, ML, LLMs, AWS | Renewable Energy Innovation Hub | Rate £575-700/day (Outside) | 6-months rolling | UK remote
Posted Today by Owen Thomas | Pending B Corp™
£700 Per day
Outside
Remote
United Kingdom
Summary: The Senior AI Software Engineer role focuses on developing scalable backend systems and machine learning applications within a Renewable Energy Innovation Hub. This position offers the opportunity to work remotely in the UK while leveraging advanced AI technologies such as Python, TypeScript, and LLMs. The contractor will be responsible for optimizing model performance and mentoring junior engineers. The role emphasizes autonomy and innovation in a start-up-like environment.
Key Responsibilities:
- Design, build, and evolve scalable backend systems and APIs for machine learning applications.
- Optimize model performance while ensuring scalability, robustness, and reliability in production.
- Contribute to the design of ML system architecture and data platforms.
- Implement and maintain reliable ML pipelines and services using modern engineering practices.
- Apply machine learning techniques to real-world challenges in scientific and R&D settings.
- Mentor and support junior engineers and data scientists, participating in technical design reviews.
Key Skills:
- Strong proficiency in Python with experience in ML frameworks like PyTorch, TensorFlow, or Scikit-learn.
- Familiarity with MLOps principles and tools (e.g., MLflow, SageMaker, Airflow).
- Experience handling large-scale datasets and working with distributed computing frameworks (e.g., Spark).
- Solid understanding of machine learning algorithms, statistical modeling, and data structures.
- Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (Docker, Kubernetes).
Salary (Rate): £700/day
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Opportunity: We’re supporting an industry leading business, investing in their Renewable Energy Innovation Hub. This role will give you the platform to build AI solutions that will impact customers on every inch of the globe, but the autonomy of working start-up environment. As you’ll be working in a sub-unit separate from the red tape of a larger organisation. They are looking for an Senior AI Engineer with strong experience with python, as well as AI (Gen AI, LLMs, RAG). This will be a UK remote role, giving you freedom while you build scalable, production-ready ML systems using cutting-edge ML research.
What You’ll Be Doing as a Senior AI Software Engineer, Contractor, Backend focused | Python, TypeScript, ML, LLMs, AWS | Renewable Energy Innovation Hub | Rate £575-700/day (Outside) | 6-months rolling | UK remote
- Design, build, and evolve scalable backend systems and APIs that power machine learning applications in addition to ML models including classification, regression, recommendation systems, and NLP.
- Optimize model performance while ensuring scalability, robustness, and reliability in production.
- Contribute to the design of ML system architecture and data platforms.
- Design, implement, and maintain reliable ML pipelines and services, leveraging modern engineering practices such as CI/CD, testing, and observability.
- Apply machine learning techniques to complex, real-world challenges in scientific and R&D settings, including experimentation, simulation, and laboratory automation.
- Mentor and support junior engineers and data scientists, and actively participate in technical design reviews.
Core Skills for the Senior AI Software Engineer, Contractor, Backend focused | Python, TypeScript, ML, LLMs, AWS | Renewable Energy Innovation Hub | Rate £575-700/day (Outside) | 6-months rolling | UK remote
- Strong proficiency in Python, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Familiarity with MLOps principles and tools (e.g., MLflow, SageMaker, Airflow).
- Background in handling large-scale datasets and working with distributed computing frameworks (e.g., Spark)
- Solid understanding of machine learning algorithms, statistical modeling, and data structures, with an emphasis on practical application and performance considerations.
- Experience working with cloud platforms (e.g., AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Familiarity with MLOps principles and tools (e.g., MLflow, SageMaker, Airflow).
Location: UK Remote
Type: Contract, full-time
Rate: Up to £700/day
Start: ASAP