Mitie

Job Title: AI Engineer

Reporting to (position) Head of Digital Applications

Objectives and Responsibilities

This is a unique opportunity to play a pivotal implementation role in shaping the future of the Mitie Facility Management built environment. You will be part of Mitie IS DevOps team and will work with Mitie teams to implement AI-powered solutions that improve efficiency, sustainability, and occupant wellbeing across Mitie client portfolio. You will work closely with a cross-functional team of engineers, data scientists, designers, and business stakeholders to bring the Mitie AI strategy to life.

 

Key responsibilities:

Implement MLOps pipelines: Establish and manage complete MLOps workflows, including continuous integration, delivery, and deployment of AI/ML models in production environments. Optimise models for efficiency, scalability, and resource utilization. Develop and implement model testing and evaluation frameworks. Deploy and monitor models in production environment, ensuring continuous performance and reliability. Integrate AI into existing products and services Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers)

to ensure successful AI adoption.

Stay current with the latest advancements in AI technology and best practices, continuously improving your skills and knowledge. Promote ethical and responsible use of AI by adhering to company policies and industry standards. Manage and maintain AI infrastructure and platforms. Develop and implement data pipelines for model training and inference. · Develop/ enhance new and existing applications integrating the AI capabilities and ML models built by the insight team

 

Key interactions (internally, externally):

Internally: Division/Business Unit Leaders, Division/Business Management Teams, Group Ops and IS Management team, Marketing and Communication Teams Externally: Partners

 

Person Specification

Must have:

Software development background, especially in open-source technologies like .Net, NodeJS, REACT, Angular and others Experience in integrating ML models into existing and new applications Demonstrable deep experience with developing and deploying AI, Machine Learning and Data solutions. Experience with supervised and unsupervised learning algorithms (e.g., linear regression, decision trees, neural networks), from MLOps point of view Experience with programming languages for AI development (e.g., Python, R, TensorFlow, PyTorch), from MLOps point of view Experience working with large datasets and data preparation techniques.  Strong understanding of cloud platforms for AI development (Azure preferred). Experience with version control systems (e.g., Git).  Excellent problem-solving and analytical skills. Strong critical thinking and ability to identify patterns in data.  Proficient in software development best practices (e.g., Agile methodology, unit testing). Effective communication and collaboration skills to work with cross-functional teams. Ability to learn new technologies and adapt to changing environments.  Excellent written and verbal communication skills.

 

Personal Attributes:

Passion for AI, Machine Learning and its potential to solve real-world problems.  Strong work ethic and self-motivation. Ability to work independently and as part of a team.  Attention to detail and commitment to quality. Experience and drive to do “full-stack” development  Strong partnership skills  Adaptable communication up to Senior Leadership

 

Nice to have:

Degree qualified Recognised Quality qualification

 

Health and Safety responsibilities

Follow Group and company policies and procedures at all times; Report any apparent deficiencies in systems of work or equipment provided that may result in failure of service delivery or risk to health and safety or the environment; Use all work equipment and personal PPE properly and in accordance with training received; Report any issues or training needs to your Line manager and /or via your divisional incident reporting system;

 

Information Security

Ensure compliance with Mitie's information security procedures in all activities; Proactively identify and report security risks to your manager; Report actual and suspected security incidents;