- Company Name
- MCS Group | Your Specialist Recruitment Consultancy
- Job Title
- Senior AI Engineer (Remote - UK)
- Job Description
-
**Job Title**
Senior AI Engineer
**Role Summary**
Lead the design, development, and deployment of AI-driven features—particularly large language model (LLM) and generative AI (GenAI) capabilities—within a manufacturing simulation platform. Drive the technical direction of AI integration, ensuring robust, scalable, and production‑ready solutions that enhance user interaction and deliver actionable insights.
**Expectations**
- Deliver end‑to‑end AI/LLM features that positively impact platform usage.
- Collaborate cross‑functionally with product, engineering, and data teams to align AI initiatives with business goals.
- Maintain expertise in emerging AI frameworks, model safety, and industry best practices.
**Key Responsibilities**
- Design, build, and productionise LLM‑based features and GenAI workflows.
- Apply orchestration frameworks (e.g., LangChain) and deep‑learning libraries (PyTorch, TensorFlow) to operationalise models.
- Deploy scalable cloud‑based AI services using AWS Bedrock, SageMaker, or GCP Vertex AI.
- Implement MLOps/LLMOps practices: CI/CD pipelines, automated testing, model monitoring, and lifecycle management.
- Optimize model performance and cost across the cloud infrastructure.
- Partner with Data Engineers to develop and maintain robust, scalable data pipelines feeding AI models.
- Research and evaluate new AI tools, frameworks, and safety protocols; disseminate findings to the team.
**Required Skills**
- 7+ years of software engineering or machine learning engineering experience.
- Strong Python proficiency; experience shipping AI/ML or LLM‑driven products.
- Proficiency with PyTorch, TensorFlow, and LangChain or similar orchestration libraries.
- Hands‑on experience with cloud AI platforms (AWS SageMaker, AWS Bedrock, GCP Vertex AI).
- In‑depth knowledge of MLOps/LLMOps: CI/CD, model monitoring, logging, and performance tuning.
- Ability to collaborate effectively with product, data, and engineering stakeholders; mentoring experience a plus.
- Strong analytical mindset, curiosity, and practical problem‑solving skills.
**Required Education & Certifications**
- Bachelor’s or higher degree in Computer Science, Software Engineering, Data Science, or related discipline.
- Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer) are advantageous but not mandatory.