Company Description
WeBuild-AI is an AI native consultancy based in London, United Kingdom.
We specialise in forming highly skilled cross functional teams, and enabling them with AI powered tooling, transformation methods and industry-specific GPTs to make AI, data & digital our customers competitive edge. We deliver 10x value creation for enterprise organisations through building connected AI, data, and digital solutions. Delivering rapid strategy definition, capability proofing, and new venture launches in a matter of weeks.
Our expert cross-functional teams leverage AI products like our proprietary Pathway Platform, Pathfinder GPT, Navigator Prompt Library, Knowledge Hub, Solutions Portal, and Pathfinder Playbook to drive transformative outcomes for our customers, combining talent with innovative AI solutions.
Role Overview
We are seeking a number of skilled Artificial Intelligence Engineers to join our innovative team. This is a full-time hybrid role based in London with some flexibility for remote work. This is a UK based role and is not currently open for sponsorship opportunities.
The AI Engineer will play a key role in developing and implementing AI-driven solutions, focusing on pattern recognition, software development, neural networks, natural language processing (NLP) and data manipulation on cloud infrastructure. Our AI engineers will also be required to lead on other AI-related activities to support in the delivery of our transformational engagements with a growing list of international brands.
Key Responsibilities
- Pattern Recognition & Neural Networks: Apply advanced techniques in neural networks, pattern recognition, and deep learning to solve complex business challenges.
- AI Product Development: Contribute to the design, testing, and deployment of AI solutions across various industries, ensuring scalability and performance optimisation.
- Data Manipulation & Processing: Work with large datasets to preprocess, clean, and transform data for use in machine learning models and AI-driven applications.
- Generative AI Development: Build and integrate generative AI solutions, to create innovative AI products tailored to client needs.
- Ethical AI Implementation: Develop and implement ethical AI frameworks and guidelines to ensure responsible AI development and deployment across all customer products and engagements.
- Cloud Development: Design, implement, and maintain scalable AI solutions in cloud environments (e.g., AWS, Azure) that support real-time data processing and AI workloads.
- Continuous Improvement: Stay updated on the latest trends and developments in AI, cloud computing, and generative models, integrating best practices into our product offerings and supporting our customers by imparting your skills and expertise in their business.
Qualifications & Skills
- A passion for supporting customers in embracing new mindsets and delivery approaches with AI
- Strong expertise in cloud platforms (AWS, Azure) with experience in building, deploying, and managing AI applications in a cloud environment.
- Proficiency in data manipulation, including data preprocessing, feature engineering, and working with large datasets.
- Practical experience with LLMs and familiarity with AI-driven content creation or automated processes.
- Knowledge of neural networks and deep learning techniques, including experience in frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of NLP and its applications in real-world use cases.
- Demonstrable experience with designing and building MLOps & LLMOps pipelines.
- Solid software development skills, including proficiency in programming languages such as Java, Python or SQL.
- Problem-solving and analytical abilities, with a proactive approach to identifying and addressing technical challenges.
- Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical teams.
- A real desire and passion to push the boundaries and possibilities of how AI can solve complex challenges for our customers.