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Senior AI/ML Consultant

Low Carbon Contracts Company

Leeds, Birmingham, London

Hybrid

GBP 68,000 - 79,000

Full time

23 days ago

Job summary

A leading company in the energy sector is seeking a Senior AI/ML Consultant to enhance its internal AI and machine learning capabilities. This pivotal role involves driving innovation and ensuring the ethical use of AI, while collaborating with various business teams to deliver impactful solutions.

Benefits

Annual performance based bonus, up to 10%
25 days annual leave, plus eight bank holidays
Up to 8% pension contribution
Financial support for study relevant to role
Family friendly policies
Free, confidential employee assistance
Three paid volunteering days a year
Cycle to work schemes

Qualifications

  • Proven experience in product or digital delivery roles.
  • Strong understanding of agile methodologies.
  • Experience in operational leadership.

Responsibilities

  • Define product goals and strategy for AI/ML initiatives.
  • Drive delivery across cross-functional teams.
  • Manage stakeholder engagement across solution lifecycle.

Skills

Stakeholder Management
Collaboration
Digital Literacy

Education

Degree in Business, Data Science, or Engineering

Tools

Microsoft Office
Jira
Figma
Confluence
Camunda

Job description

Senior AI/ML Consultant

Application Deadline: 16 July 2025

Department: Analytics

Employment Type: Permanent

Location: London/Leeds/Birmingham

Reporting To: Head of Analytics

Compensation: circa £68,000


Description
Contract type: Permanent
Hours: Full Time, 37.5 hours per week
Salary: circa £68,000 depending on experience
Location: London, Leeds, or Birmingham offices
WFH policy: Employees are required to attend the office 2 days/week
Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.
Reports to: Head of Analytics
Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.

Role Summary:

The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC’s internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will drive innovation that enhances operational efficiency and aligns with LCCC’s wider digital strategy.

Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption.

Acting as the central coordination point for automation and innovation initiatives, the role has oversight of a portfolio of internal digital tools. This is a senior individual contributor role accountable for setting clear goals, prioritising the roadmap, coordinating technical input, and ensuring alignment with organisational priorities. This includes overseeing discovery, guiding solution design, and championing best practices in responsible AI and user enablement.

Key Responsibilities
  • Define product goals and strategy for internal AI/ML initiatives, ensuring alignment with business priorities and LCCC’s digital strategy.
  • Drive delivery across cross-functional technical teams to support incremental launches and continuous improvement.
  • Lead discovery and validation of opportunities in collaboration with users and subject matter experts, quantifying expected impact.
  • Manage stakeholder engagement and communication across the full solution lifecycle.
  • Facilitate knowledge sharing and reduce duplication across development teams to improve efficiency and collaboration.
  • Champion the responsible and transparent use of AI across the organisation.
  • Support AI literacy and digital capability - building across the business through learning events, best practice sharing, and hands-on guidance.

Skills Knowledge and Expertise
  • A good first degree or higher in a relevant field such as business, data science, or engineering is essential or experience in an equivalent role.
  • Proven experience in a similar product, digital delivery, or operational leadership role
  • Proficiency in the use of Microsoft Office, Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro.
  • Agile or project management certifications (PO. Scrum Master, SAFe, etc.) are desirable.
  • Strong understanding of agile methodologies and experience managing backlogs and sprints using tools such as Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro.
  • Strong stakeholder management and collaboration skills, with the ability to communicate complex ideas clearly and build consensus across varying audiences.
  • Ability to shape and deliver digital solutions from inception through to implementation, balancing value, scope, and delivery timelines.
  • Confidence in leading discovery with business teams; gathering requirements and translating them into transparent and actionable delivery plans.
  • Experience promoting adoption and capability-building across non-technical teams.
  • Ability to balance scope, quality, and security, and ethical considerations to meet critical deadlines.

Employee Benefits
As if contributing to and supporting work that makes life better for millions wasn’t rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include:
  • Annual performance based bonus, up to 10%
  • 25 days annual leave, plus eight bank holidays
  • Up to 8% pension contribution
  • Financial support and time off for study relevant to your role, plus a professional membership subscription
  • Employee referral scheme (up to £1500), and colleague recognition scheme
  • Family friendly policies, including enhanced maternity leave and shared parental leave
  • Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
  • Three paid volunteering days a year
  • Season ticket loan and cycle to work schemes
  • Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
  • Employee resource groups
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