ML Engineer
other jobs Harnham - Data & Analytics Recruitment
Added before 3 Days
- England,North West,Greater Manchester
- Full Time, Permanent
- £70,000 - £80,000 per annum
Job Description:
ML ENGINEER
UP TO £80,000 + BENEFITS
HYBRID - CHESTER
If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.
THE COMPANY:
I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.
With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.
THE ROLE:
This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.
Key responsibilities include:
*Operationalising ML models, including deployment, monitoring, retraining, and drift detection
*Acting as the bridge between Data Science and Engineering to productionise models
*Supporting a broad range of AI and ML initiatives, including: *Revenue management and pricing optimisation
*Customer-facing AI products using LLMs and AI agents
*Churn prediction and revenue forecasting
*Defining and implementing ML best practices, CI/CD pipelines, and coding standards
*Improving reliability, scalability, and observability of production ML systems
YOUR SKILLS AND EXPERIENCE:
A successful ML / AI Engineer will bring:
*Hands-on experience deploying and maintaining ML models in production
*Experience with CI/CD in a production environment
*Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
*Ability to communicate effectively with Data Scientists and Product teams
*Experience with customer, marketing, or personalisation data is beneficial
THE BENEFITS:
You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
UP TO £80,000 + BENEFITS
HYBRID - CHESTER
If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.
THE COMPANY:
I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.
With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.
THE ROLE:
This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.
Key responsibilities include:
*Operationalising ML models, including deployment, monitoring, retraining, and drift detection
*Acting as the bridge between Data Science and Engineering to productionise models
*Supporting a broad range of AI and ML initiatives, including: *Revenue management and pricing optimisation
*Customer-facing AI products using LLMs and AI agents
*Churn prediction and revenue forecasting
*Defining and implementing ML best practices, CI/CD pipelines, and coding standards
*Improving reliability, scalability, and observability of production ML systems
YOUR SKILLS AND EXPERIENCE:
A successful ML / AI Engineer will bring:
*Hands-on experience deploying and maintaining ML models in production
*Experience with CI/CD in a production environment
*Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
*Ability to communicate effectively with Data Scientists and Product teams
*Experience with customer, marketing, or personalisation data is beneficial
THE BENEFITS:
You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Job number 3303734
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Company Details:
Harnham - Data & Analytics Recruitment
Company size: 250–499 employees
Industry: Recruitment Consultancy
Harnham are the global leaders in Data & Analytics recruitment.Harnham provides specialist Data & Analytics recruitment staffing services and talent s...