AI/ML Engineer / Data Scientist - 6 Months Contract
Belmont Lavan Ltd
Posted: March 26, 2026
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Quick Summary
An experienced AI/ML Engineer/ Data Scientist is required to design, run, and evaluate machine learning experiments, with a focus on data preparation, modeling, and production deployment.
Required Skills
Job Description
Belmont Lavan Ltd is seeking an experienced AI/ML Engineer / Data Scientist for a 6-month contract to contribute to the development and deployment of cutting-edge AI and machine learning solutions. The ideal candidate will possess strong expertise in both machine learning engineering and data science, capable of handling end-to-end AI projects from data preparation and modeling to production deployment and monitoring.
Requirements:
• Design, run, and evaluate machine learning experiments to support model development and optimisation
• Analyse model outputs and provide actionable feedback to improve performance and reliability
• Work with modern AI frameworks and tools, including exposure to first-party models (e.g., Gemini is a plus)
• Develop tools, scripts, and prototypes to support AI/ML workflows
• Collaborate with engineering and product teams to integrate AI solutions into applications
• Document findings, communicate insights, and contribute to knowledge sharing across teams
Required Skills & Experience
• Machine Learning & AI:
Experience working with machine learning models, including experimentation, evaluation, and performance analysis
• Data Science Fundamentals:
Proficiency in using notebooks (e.g., Colab or similar) for analysis, prototyping, and experimentation
• Programming:
Strong proficiency in Python for AI/ML development, scripting, and tooling
• Software Development:
Understanding of modern development practices; experience with TypeScript or similar technologies is advantageous
• AI Systems / Agents:
Familiarity with or willingness to learn agent-based architectures and modern AI frameworks
• Communication & Collaboration:
Strong interpersonal and communication skills with the ability to work effectively in cross-functional teams
Benefits:
• Flexible working arrangements (Hybrid/Remote depending on role).