Lead AI / ML Engineer

Michael Page Technology; Woking; On-site; GBP 80,000 - 95,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

Michael Page is seeking a Lead AI/ML Engineer to drive analytics and decision-making in the leisure, travel & tourism sector. You will shape data-driven strategies, build forecasting and predictive models, and deploy them in Databricks/Azure environments.

Responsibilities include translating business challenges into AI solutions and presenting insights to diverse stakeholders while collaborating with data, engineering and technology teams.

Qualifications

• Strong experience in Data Science, ML or Predictive Analytics.
• Forecasting and predictive modelling expertise.
• Advanced Python skills with common ML libraries.
• Strong SQL skills.
• Experience with Databricks and Spark environments.
• Translate business requirements into practical AI/ML solutions.
• Communicate technical concepts to business stakeholders.
• Problem-solving with a consultative mindset.
• Independent work style with collaboration across teams.

Responsibilities

• Engage stakeholders to translate challenges into AI solutions.
• Design, build and deploy ML models for forecasting and optimization.
• Develop solutions for demand, pricing, revenue and capacity planning.
• Work with Databricks and Azure environments.
• Build training, evaluation and monitoring processes for models.
• Advise on AI approaches for business use cases.
• Partner with data, engineering and tech teams to productionize solutions.
• Present insights to technical and non-technical stakeholders.
• Contribute to AI governance and best practices.

Skills

Python

SQL

Databricks

Spark

Forecasting

Stakeholder communication

Problem-solving

Team collaboration

Tools

Databricks

Spark

Job description

Lead AI/ML Engineer

As a Lead AI/ML Engineer in the leisure, travel & tourism industry, you'll focus on building and deploying machine learning models to drive analytics and decision-making. You'll play a vital role in shaping data-driven strategies that contribute to the organisation's success.

Client Details

Our client is a leading UK organisation undergoing an ambitious data and AI transformation. Operating across multiple locations, they are investing heavily in modern analytics, machine learning and predictive modelling capabilities to support smarter decision-making and long-term business growth.

Description

• Engage with business stakeholders to understand operational and commercial challenges and translate them into AI and predictive analytics solutions.
• Design, build and deploy machine learning models focused on forecasting, prediction and optimisation.
• Develop solutions around areas such as demand forecasting, pricing, revenue, capacity and operational planning.
• Work with data held within Databricks and Azure-based environments.
• Build and maintain model training, evaluation and monitoring processes.
• Advise on appropriate AI and machine learning approaches for business use cases.
• Partner with data, engineering and technology teams to ensure solutions are production-ready and deliver measurable value.
• Present insights and recommendations to both technical and non-technical stakeholders.
• Contribute to AI best practice, governance and solution design discussions.

Profile

A successful Lead AI/ML Engineer should have:

• Strong experience in Data Science, Machine Learning or Predictive Analytics.
• Proven expertise in forecasting and predictive modelling.
• Advanced Python skills and experience with common ML libraries.
• Strong SQL skills.
• Experience working with Databricks and/or Spark environments.
• Ability to translate business requirements into practical AI and ML solutions.
• Experience communicating technical concepts to business stakeholders.
• Strong problem-solving skills with a consultative mindset.
• Comfortable working independently whilst collaborating across multiple teams.

Desirable

• Experience delivering forecasting, predictive analytics or machine learning solutions in a data-rich commercial environment.
• Experience supporting operational, financial, customer or commercial decision-making through data and AI.
• Exposure to MLOps, MLflow or model lifecycle management.
• Experience with Microsoft Azure, Fabric or AI technologies.

Job Offer

• Competitive salary of £80,000 to £95,000, dependent on the level of experience.
• Comprehensive benefits package.

People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.