AI / ML Engineers
AWTG · London, GB
Job description
We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences.
Key Responsibilities:
- Neural Network Training: Develop and train advanced neural network models to meet specific functional requirements.
- Deployment and Integration: Efficiently deploy these neural networks on servers, ensuring optimal performance and scalability.
- API Development: Create robust API endpoints for model access, enabling seamless integration with external systems or applications.
- Platform Development: Architect and develop a user-friendly platform where multiple AI models are accessible and can be utilised through API calls, facilitating a broad range of AI capabilities.
- Continuous Improvement: Continuously monitor, update, and improve the models and the platform based on user feedback and evolving technological trends.
Skills and Qualifications:
- Minimum 3 years of experience in building AI/ML software.
- Strong expertise in machine learning, neural network algorithms and generative AI applications.
- Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy, LangChain, FastApi and LangGraph
- Experience with RAG applications, server deployment, cloud computing environments, and API development.
- Good understanding of software engineering best practices.
- Excellent problem-solving abilities and a keen eye for detail.
- Strong communication skills to collaborate effectively in a team-oriented environment.
Educational Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a focus on AI/ML.
Working Hours:
- Candidates must be available to work core UK business hours, 9:00–17:30 (GMT/BST), Monday–Friday. Job Category: Engineering Job Type: Full Time Job Location: Only On Site
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
More Generative AI and LLM roles
View all →Generative AI Engineer
Technosoft Engineering, INC · Houston, US
2 days ago
AI Engineer / AI Analyst
Light & Wonder · Remote · Milton Keynes
Remote3 days ago
Senior Azure DevOps Engineer (m/w/d) - GenAI Platform (Ref.Nr.: 46974)
Wavestone · Remote · Zurich
RemoteSenior3 days ago
Generative AI engineer
Talan · Lausanne, CH
3 days ago
Software Engineer - AI Enablement & Workplace Technology
— · Stockholm, SE
3 days ago
ML & GenAI Team Lead (Sagacify)
Craftzing · Ghent, BE
Lead3 days ago
AI / ML Engineers
AWTG