machine learning engineer

Bally's Interactive

<div>Lead Ai Engineer

Location : Hybrid working 3 days a week in the Manchester Office

Who we are

Bally&rsquo;s Interactive is the digital arm of one of the world&rsquo;s leading entertainment providers, with tens of millions of players across the globe and an unmatched ecosystem of products spanning across the sports betting, iGaming, free-to-play, and daily fantasy spectrum.

Our brands and sites include market movers and shakers like Bally Bet, Vera&amp;John, Virgin Games, Jackpotjoy and many more. We make our mark by embracing the diversity of our global team, challenging ourselves, and striving to make a difference for our players. 


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?
<ul>
<li>Significant commercial software engineering experience, including experience leading technical teams or engineering functions.
</li><li>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.
</li><li>Extensive experience building and operating cloud-native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern engineering practices.
</li><li>Experience delivering high-performance, real-time systems that operate reliably at scale with demanding latency requirements.
</li><li>Demonstrated experience leading the successful transition of AI solutions from research or proof of concept into robust, production-ready services.
</li><li>Experience establishing technical standards, driving engineering excellence and mentoring or developing engineers within high-performing teams.</li></ul> 


And what will you need?

Experience:
<ul>
<li>Significant commercial software engineering experience, including experience leading technical teams or engineering functions.
</li><li>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.
</li><li>Extensive experience building and operating cloud-native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern engineering practices.
</li><li>Experience delivering high-performance, real-time systems that operate reliably at scale with demanding latency requirements.
</li><li>Demonstrated experience leading the successful transition of AI solutions from research or proof of concept into robust, production-ready services.
</li><li>Experience establishing technical standards, driving engineering excellence and mentoring or developing engineers within high-performing teams.</li></ul> 


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


This is what you'll get:

(different benefits packages are tailored to fit each location, but here&rsquo;s a taste of what may be on offer)
<ul>
<li>Annual leave</li>
<li>Pension plan</li>
<li>Health insurance</li>
<li>Company share scheme</li>
<li>Volunteering days</li>
<li>Home office allowance</li>
<li>Wellness or Gym allowance</li></ul> 


DNA / Values

At Bally&rsquo;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&rsquo;s we Love to Lead by thinking differently, seeking innovation, and always looking for ways to raise our game. 


Equal Opportunities

At Bally&rsquo;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.</div>

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

GamblingCareers.com

<div>
 
 Who We Are
 
 
 
 Bally&rsquo;s Intralot is a newly formed company established through the combination of INTRALOT and Bally&rsquo;s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions.
 
 
 Bally&rsquo;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 capitalize on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.
 
 
 
 Well, what about the team?
 
 
 
 You'll be part of the team responsible for bringing AI innovation into the hands of millions of players. Working alongside AI researchers and experienced engineers, you'll transform proven concepts into high-quality, production-ready features that power personalised player experiences.
 
 
 From recommendation systems and intelligent search to AI agents and dynamic content discovery, you'll build and scale the technology that sits behind our products. This is a senior, hands on role with genuine ownership you'll influence how solutions are designed, built and delivered while working in a collaborative team that's passionate about solving complex engineering challenges with AI.
 
 
 
 So, what will you be doing?
 
 
 
 <ul>
 <li>
 Take prototypes and validated concepts from R&amp;D and turn them into production
 </li>
 <li>
 systems: hardened, tested, observable, and maintainable.
 </li>
 <li>
 Build and operate real-time personalisation, recommendation, search and ranking
 </li>
 <li>
 systems against live traffic and within real latency budgets.
 </li>
 <li>
 Hold a high engineering bar on AWS and TypeScript: clean CI/CD, infrastructure as
 </li>
 <li>
 code, observability, and testing.
 </li>
 <li>
 Work closely with R&amp;D engineers, product managers, data analysts and Staff
 </li>
 <li>
 Engineers, bridging fast experimental work and production discipline.
 
 
 </li>
 </ul>
 
 And what will you need?
 
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Significant commercial software engineering experience (typically 5+ years) with strong expertise in TypeScript and working knowledge of Python.
 </li>
 <li>
 Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications.
 </li>
 <li>
 Hands-on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code and production monitoring.
 </li>
 <li>
 Experience developing and supporting high-performance, real-time systems with a focus on scalability, reliability and low latency.
 </li>
 <li>
 Experience measuring and evaluating AI model performance, using data and experimentation to drive continuous improvement.
 
 
 </li>
 </ul>
 
 Skills &amp; Behaviours
 
 
 
 <ul>
 <li>
 A hands-on engineer who enjoys solving complex technical challenges and delivering high-quality, production-ready solutions.
 </li>
 <li>
 Strong understanding of modern software engineering best practices, with a focus on clean, maintainable and well-tested code.
 </li>
 <li>
 Comfortable working in a collaborative, cross-functional environment alongside engineers, product teams and AI researchers.
 </li>
 <li>
 Excellent communication skills, able to explain technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Proactive, curious and continuously looking for opportunities to improve products, processes and the way AI solutions are delivered.
 
 
 </li>
 </ul>
 
 This Is What You'll Get
 
 
 
 Different benefits packages are tailored to fit each location, but here&rsquo;s a taste of what may be on offer:
 
 
 <ul>
 <li>
 Annual leave
 </li>
 <li>
 Pension plan
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Company share scheme
 </li>
 <li>
 Volunteering days
 </li>
 <li>
 Home office allowance
 </li>
 <li>
 Wellness or Gym allowance
 
 
 </li>
 </ul>
 
 DNA / Values
 
 
 
 At Bally&rsquo;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&rsquo;s we Love to Lead by thinking differently, seeking innovation, and always looking for ways to raise our game.
 
 
 Equal Opportunities
 
 
 At Bally&rsquo;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.
</div>

Senior Ai Engineer (AI/ML/R&D)

Bally’s Corporation

<div>Who we are

Bally&rsquo;s Intralot is a newly formed company established through the combination of INTRALOT and Bally&rsquo;s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions.

Bally&rsquo;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 capitalize on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.

Well, what about the team?

You'll be part of the team responsible for bringing AI innovation into the hands of millions of players. Working alongside AI researchers and experienced engineers, you'll transform proven concepts into high-quality, production-ready features that power personalised player experiences.

From recommendation systems and intelligent search to AI agents and dynamic content discovery, you'll build and scale the technology that sits behind our products. This is a senior, hands on role with genuine ownership you'll influence how solutions are designed, built and delivered while working in a collaborative team that's passionate about solving complex engineering challenges with AI. 


So, what will you be doing?
<ul>
<li>Take prototypes and validated concepts from R&amp;D and turn them into production</li>
<li>systems: hardened, tested, observable, and maintainable.</li>
<li>Build and operate real-time personalisation, recommendation, search and ranking</li>
<li>systems against live traffic and within real latency budgets.</li>
<li>Hold a high engineering bar on AWS and TypeScript: clean CI/CD, infrastructure as</li>
<li>code, observability, and testing.</li>
<li>Work closely with R&amp;D engineers, product managers, data analysts and Staff</li>
<li>Engineers, bridging fast experimental work and production discipline.</li></ul> 


And what will you need?

Experience:
<ul>
<li>Significant commercial software engineering experience (typically 5+ years) with strong expertise in TypeScript and working knowledge of Python.
</li><li>Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications.
</li><li>Hands-on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code and production monitoring.
</li><li>Experience developing and supporting high-performance, real-time systems with a focus on scalability, reliability and low latency.
</li><li>Experience measuring and evaluating AI model performance, using data and experimentation to drive continuous improvement.</li></ul> 


Skills &amp; Behaviours:
<ul>
<li>A hands-on engineer who enjoys solving complex technical challenges and delivering high-quality, production-ready solutions.
</li><li>Strong understanding of modern software engineering best practices, with a focus on clean, maintainable and well-tested code.
</li><li>Comfortable working in a collaborative, cross-functional environment alongside engineers, product teams and AI researchers.
</li><li>Excellent communication skills, able to explain technical concepts clearly to both technical and non-technical stakeholders.
</li><li>Proactive, curious and continuously looking for opportunities to improve products, processes and the way AI solutions are delivered.</li></ul> 


This is what you'll get

Different benefits packages are tailored to fit each location, but here&rsquo;s a taste of what may be on offer:
<ul>
<li>Annual leave</li>
<li>Pension plan</li>
<li>Health insurance</li>
<li>Company share scheme</li>
<li>Volunteering days</li>
<li>Home office allowance</li>
<li>Wellness or Gym allowance</li></ul> 


DNA / Values

At Bally&rsquo;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&rsquo;s we Love to Lead by thinking differently, seeking innovation, and always looking for ways to raise our game. 


Equal Opportunities

At Bally&rsquo;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.</div>

bet365

<div>
 
 
 Job Description
 
 
 
 As a Data Scientist, you will develop probabilistic models that power real-time betting markets.
 
 
 
 
 
 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
 
 
 
 
 
 In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
 
 
 
 
 
 This role is eligible for inclusion in the Company's hybrid working policy.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
 </li>
 <li>
 Keen interest in a wide range of sports and/or the online gambling industry.
 </li>
 <li>
 Demonstrable experience building predictive models from data.
 </li>
 <li>
 Expertise in statistical analysis and probability theory applied to real-world problems.
 </li>
 <li>
 Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Ability to optimise models for both accuracy and computational efficiency.
 </li>
 <li>
 Experience handling and analysing large datasets.
 </li>
 <li>
 Familiarity with cloud computing environments.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 <ul>
 <li>
 Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.
 </li>
 <li>
 Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.
 </li>
 <li>
 Devising innovative solutions for unstructured problems.
 </li>
 <li>
 Assessing existing models and algorithms to identify areas for improvement.
 </li>
 <li>
 Identifying and resolving data quality issues or bugs affecting models or analysis.
 </li>
 <li>
 Performing rigorous statistical validation of models against historical and live data.
 </li>
 <li>
 Collaborating with trading teams to incorporate domain expertise into mathematical models.
 </li>
 <li>
 Optimising model performance for both accuracy and computational efficiency.
 </li>
 <li>
 Researching novel approaches from academic literature and industry developments.
 </li>
 <li>
 Identifying and defining new opportunities for data-driven insights.
 </li>
 </ul>
 
 
 
 
 By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy
 
 
 
 
 
 At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.
 
</div>

Data Scientist, Sports

<div>Company Description 
We&rsquo;re one of the world&rsquo;s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global worldwide.
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. 
Job Description 
As a Data Scientist, you will develop probabilistic models that power real-time betting markets.
The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
This role is eligible for inclusion in the Company's hybrid working policy. 
Qualifications 
<ul><li>
Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.</li><li>
Keen interest in a wide range of sports and/or the online gambling industry.</li><li>
Demonstrable experience building predictive models from data.</li><li>
Expertise in statistical analysis and probability theory applied to real-world problems.</li><li>
Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.</li><li>
Ability to optimise models for both accuracy and computational efficiency.</li><li>
Experience handling and analysing large datasets.</li><li>
Familiarity with cloud computing environments.</li></ul> 

Additional Information 
<ul><li>
Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.</li><li>
Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.</li><li>
Devising innovative solutions for unstructured problems.</li><li>
Assessing existing models and algorithms to identify areas for improvement.</li><li>
Identifying and resolving data quality issues or bugs affecting models or analysis.</li><li>
Performing rigorous statistical validation of models against historical and live data.</li><li>
Collaborating with trading teams to incorporate domain expertise into mathematical models.</li><li>
Optimising model performance for both accuracy and computational efficiency.</li><li>
Researching novel approaches from academic literature and industry developments.</li><li>
Identifying and defining new opportunities for data-driven insights.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

Explore 42+ Machine learning engineer in Manchester this July. Find roles across top companies and apply now to boost your career.

42 machine learning engineer jobs In Manchester

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

Senior Ai Engineer (AI/ML/R&D)

Senior Ai Engineer (AI/ML/R&D)

Senior Ai Engineer (AI/ML/R&D)

Senior Ai Engineer (AI/ML/R&D)

Data Scientist, Sports

Data Scientist, Sports