Our client is seeking a passionate Machine Learning Engineer to join a growing team delivering cutting-edge AI solutions for a diverse client base. This is an exciting opportunity for an experienced professional who enjoys building production-ready machine learning applications, working with modern cloud technologies, and collaborating with multidisciplinary teams to solve complex business challenges.
Key Responsibilities
- Design, build, and deploy production-ready machine learning solutions.
- Develop AI-powered applications, AI agents, and LLM-based solutions.
- Build and optimise data pipelines for model training and inference.
- Implement MLOps best practices, including CI/CD, deployment, monitoring, and automation.
- Develop scalable ML platforms and cloud-based AI infrastructure.
- Deploy AI solutions to an AI marketplace and production environments.
- Collaborate with data scientists, BI specialists, DevOps engineers, and software development teams.
- Engage confidently with both technical and business stakeholders throughout project delivery.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related field.
- Minimum 2 years’ experience in machine learning, data science, or data engineering.
- Strong Python development experience with solid SQL skills.
- Proven experience working with AWS cloud services (essential).
- Experience across the machine learning lifecycle, including training, deployment, monitoring, and MLOps.
- Experience building scalable AI applications and APIs.
- Strong understanding of software engineering principles and clean coding practices.
Advantageous
- AWS certifications.
- Experience with AWS Bedrock and Bedrock AgentCore.
- Open-source contributions, startup, or product development experience.
- Postgraduate qualification in AI, Machine Learning, or a related field.
Personal Attributes
- Passionate about AI and emerging technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Self-motivated with the ability to work independently.
- Eager to continuously learn and grow.
Only shortlisted candidates will be contacted.
Submit your CV to [Email Address Removed] or call [Phone Number Removed];.
Visit our website for more exciting career opportunities: [URL Removed]
Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.
Desired Skills:
- SQL
- Excellent communication
- Computer Science