Lead Ai Engineer (AI/ML/R&D) in Manchester

Lead Ai Engineer (AI/ML/R&D) in Manchester

Manchester Full-Time 69750 - 85250 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI engineering projects and mentor a dynamic team in a hybrid work environment.
  • Company: Join Bally’s Intralot, a top iGaming operator at the forefront of digital gaming.
  • Benefits: Enjoy competitive pay, health insurance, annual leave, and wellness allowances.
  • Other info: Embrace a culture of diversity, innovation, and continuous learning.
  • Why this job: Shape the future of AI while working on innovative solutions that impact millions.
  • Qualifications: Strong experience in software engineering, AI, TypeScript, and Python required.

The predicted salary is between 69750 - 85250 £ per year.

Manchester Office Hybrid working 3 days a week.

Who We Are

Bally’s Intralot is a newly formed company established through the combination of Intralot and Bally’s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions. Bally’s Intralot is uniquely positioned across digital online gaming markets, lottery, iLottery, and sports betting. Operating at the intersection of technology, regulation, and entertainment, we are optimally positioned to capitalise on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.

Well, what about the team?

As Lead AI Engineer, you'll play a pivotal role in shaping the future of AI across our products. Leading a newly established AI Engineering function, you'll bridge cutting-edge research with production engineering, ensuring innovative AI capabilities become scalable, reliable features used by millions of players. You'll lead a multidisciplinary team responsible for developing and delivering AI-powered experiences across personalisation, recommendations, intelligent search, AI agents and content discovery. Working closely with product, engineering and data teams, you'll define technical direction, establish engineering best practices and help build a high-performing team capable of delivering AI solutions at scale. This is a hands-on leadership role where you'll combine technical expertise with people leadership. You'll mentor and develop engineers, influence architecture and technical strategy, and remain close to the code, leading by example on the most complex technical challenges.

So, what will you be doing?

  • Significant commercial software engineering experience, including experience leading technical teams or engineering functions.
  • Strong expertise in TypeScript and Python, with a proven track record of delivering AI, machine learning or data-driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM-powered applications.
  • Extensive experience building and operating cloud-native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern engineering practices.
  • Experience delivering high-performance, real-time systems that operate reliably at scale with demanding latency requirements.
  • Demonstrated experience leading the successful transition of AI solutions from research or proof of concept into robust, production-ready services.
  • Experience establishing technical standards, driving engineering excellence and mentoring or developing engineers within high-performing teams.

And what will you need?

  • A technical leader who enjoys building, mentoring and developing engineering teams while creating an environment where innovation can thrive.
  • Able to balance experimentation with engineering discipline, making sound technical decisions that deliver long-term value.
  • Confident leading technical discussions, influencing architecture and making complex decisions across multiple stakeholders.
  • Passionate about building scalable, maintainable and observable AI systems using modern engineering best practices.
  • Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, data and leadership teams.
  • Comfortable remaining hands-on with technology while providing strategic technical leadership and direction.

This Is What You'll Get (different benefits packages are tailored to fit each location, but here’s a taste of what may be on offer)

  • Annual leave
  • Pension plan
  • Health insurance
  • Company share scheme
  • Volunteering days
  • Home office allowance
  • Wellness or Gym allowance

DNA / Values

At Bally’s Interactive, we are driven by a set of core values that we like to call our DNA. We strive to embody our DNA and keep them at the heart of everything we do! We are Always Ready to embrace change, adapt, and do what it takes to delight our customers. We believe that You Make the Difference, which is what gives our players the best experience and keeps them coming back. We are All One Team, looking out for each other, respecting diversity while connecting through a common purpose. Our teams are Learning Every Day by showing constant curiosity and the drive to learn from successes, mistakes, new experiences, and the people around us. At Bally’s we Love to Lead by thinking differently, seeking innovation, and always looking for ways to raise our game.

Equal Opportunities

At Bally’s Interactive, we are committed to promoting equal opportunities in employment and working conditions. Diversity, Equity and Inclusion are important to us, and we encourage a culture where everyone can be themselves at work. We believe passionately that employing a diverse workforce is central to our success, this is our superpower. We do not discriminate against employees or job applicants on the basis of race, colour, nationality, ethnic or national origin, age, sex or sexual orientation, gender reassignment, religion or belief, marital or civil partner status, pregnancy or maternity, political opinion or disability.

Lead Ai Engineer (AI/ML/R&D) in Manchester employer: Intralot

Bally’s Intralot is an exceptional employer, offering a vibrant work culture in the heart of Manchester city centre, where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development alongside competitive benefits such as health insurance, a pension plan, and wellness allowances. Our commitment to diversity and inclusion ensures that every team member feels valued and empowered to contribute to our mission of delivering outstanding gaming experiences.

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Contact Details:

Intralot Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Ai Engineer (AI/ML/R&D) in Manchester

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Intralot or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Intralot.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Intralot.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Intralot that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Lead Ai Engineer (AI/ML/R&D) in Manchester

AI Engineering
Machine Learning
TypeScript
Python
Cloud-Native Applications
AWS
CI/CD

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Intralot.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intralot and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Intralot

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Intralot uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.