Join to apply for the Senior AI/ML Engineer role at Michael Page
8 hours ago Be among the first 25 applicants
Join to apply for the Senior AI/ML Engineer role at Michael Page
Get AI-powered advice on this job and more exclusive features.
* Lead real-world AI innovation in a fast-moving distribution business
* Must have deployed full-stack AI/ML and GenAI solutions in production
* Lead real-world AI innovation in a fast-moving distribution business
* Must have deployed full-stack AI/ML and GenAI solutions in production
About Our Client
A forward-thinking distribution enterprise at the forefront of digital transformation, this company is investing heavily in AI.
Job Description
* Build and deploy end-to-end AI/ML solutions, from data ingestion to model deployment.
* Develop classical ML models (e.g., regression, classification, clustering) for forecasting, optimisation, and automation.
* Design and fine-tune GenAI models (e.g., LLMs, diffusion models) for use cases such as content generation, summarising, and intelligent assistants.
* Collaborate with data engineers, product managers, and business stakeholders to translate requirements into scalable AI solutions.
* Monitor and maintain deployed models, ensuring performance, accuracy, and reliability.
* Stay current with AI/ML research and apply relevant advancements to business challenges.
* Contribute to the development of AI best practices and reusable components.
The Successful Applicant
* Proven experience deploying AI/ML solutions in production environments.
* Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
* Hands-on experience with GenAI tools and platforms (e.g., Hugging Face, OpenAI, LangChain).
* Solid understanding of MLOps practices and tools (e.g., MLflow, Docker, Kubernetes).
* Ability to work independently and collaboratively in a fast-paced, agile environment.
* Excellent problem-solving and communication skills.
What's on Offer
* Opportunity to lead AI innovation in a high-impact, real-world setting.
* Work with a forward-looking team committed to digital transformation.
Contact: Manpreet Kaur
Quote job ref: JN-082025-6816814
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Staffing and Recruiting
Referrals increase your chances of interviewing at Michael Page by 2x
Sign in to set job alerts for “Machine Learning Engineer” roles.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr