AI Transformation Lead

The Rank Group
Maidenhead
1 year ago
Applications closed

Related Jobs

View all jobs

AI Transformation Consultant: GenAI & MLOps at Scale

ML Engineer / Data Scientist, Applied AI

Lead Data Scientist

Senior Data Scientist - Hybrid AI & Data Solutions Lead

Machine Learning and AI Engineering Lead

Lead Data Scientist - Drug Discovery

Company Description

The Rank Group is growing rapidly within both our Venues and Digital businesses. If you’re not sure who we are, you may be more familiar with us through our iconic brands; Mecca Bingo and Grosvenor Casino. We have most recently acquired Stride Gaming, which, together with our existing Digital business, forms Rank Interactive.

We employ circa 8,000 people globally, with our UK office functions being located in Maidenhead (Head Office), Sheffield (Customer Solutions Hub), London (Digital) and a further office in Gibraltar, which is home to our existing Rank Digital function.

We are evolving as a business and are adding some exciting new brands and concepts to our venues and digital offering. By joining an office-based or operational function with us, you’ll instantly be part of a high-performing and inclusive culture, which works closely to support our Customer-facing teams.

Job Description

Rank recognise that Artificial Intelligence and Machine Learning are fundamental to the success and future growth of our business. We are looking for a true visionary that can deliver the AI strategy that supports the business by improving efficiency in addition to being a champion for the customer by enhancing their experience with Rank and its brands, both online and in venue.

As an AI Specialist, you will be responsible for: conducting feasibility studies and impact assessments for AI projects, providing actionable recommendations for automation initiatives, recommending the best approaches and AI tools, to surpass business growth needs and customer requirements.

This is not a technical role, requires minimal if any coding, rather a consultant that is able to bring the business on the AI journey, utilising Rank’s Data, Analytics, Data Science and Technology teams and/ or third-party suppliers.

Innovation Leadership

Foster a culture of innovation by promoting creative thinking and experimentation. Lead the exploration of cutting-edge AI technologies and methodologies to stay ahead of the curve.

Partnership Development

Identify and establish strategic partnerships with industry leaders, research institutions, startups, and other organisations to drive AI innovation. Leverage partnerships to access resources, expertise, and technologies that complement our AI initiatives.

Cross-Functional Collaboration

Collaborate with stakeholders across various departments, including corporate strategy, engineering, product management, propositions and marketing to develop and launch new AI-driven offerings. Provide guidance and support to cross-functional teams to ensure alignment with AI strategy and objectives.

Qualifications

Exceptional and demonstrable experience in delivering AI solutions to meet business needs. Commercially sound and a strategic thinker.  Background in Innovation around technology and strategy building Ability to identify a business opportunity and articulate an appropriate business case for its delivery. Outstanding stakeholder engagement and gregarious personality to build strong relationships. Out of the box thinking while operating within governance boundaries. Strong financial awareness and ability to forecast and delivering to budget. An outstanding knowledge of existing and proposed AI/ Automation technology and technology vendors.

Additional Information

#LI-IZ1 #LI-Hybrid

Join us to unlock benefits and opportunities that will boost your career journey in a vibrant, inclusive and fulfilling work environment – so you can #BeYourself

Wellbeing@Rank is important... From hybrid working and colleague support networks to menopause support and weekly PepTalks, we’re here for you.

We’ll also invest in your growth by providing development opportunities, leadership training and cutting-edge industry certifications so you have the tools and resources to help you work, win and grow with us. 

Immerse yourself in new cultures and gain international exposure through our global business. Collaborate with colleagues from around the globe.

From pensions to bonus schemes, and private medical insurance to life insurance – we've got you covered. 

*Our benefits vary by brand and/or location. Please have a chat with your local Talent Acquisition specialist to find out what’s in place in your location.

The Rank Group are committed to being an inclusive employer, ensuring that we better understand and meet the needs and requirements of our candidates and customers. 

We aim to do this by facilitating fair and equal access to our services. If you require a reasonable adjustment to be made, please reach out to let us know ahead of your interview. 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.