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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>
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 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 Interactive

Frontier Resourcing

<div><div>Principal Data Scientist &amp; Machine Learning Researcher
</div><div>Gloucester | London | Manchester

Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.

Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.

We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).

<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
The Opportunity
As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.

You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.

This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.

Key Responsibilities
<ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul>Essential Skills &amp; Experience
<ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul>Desirable Skills &amp; Experience
<ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul>What's on Offer
<ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul>Benefits:
<ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div>

Principal Data Scientist and Machine Learning Researcher (eDV)

<div>We&rsquo;re seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in Manchester .
In this role, you&rsquo;ll make an impact in the following ways:
<ul><li><div>Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals.
</div></li><li><div>Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality).
</div></li><li><div>Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms.
</div></li><li><div>Establish best practices for secure, scalable, and resilient application design.
</div></li><li><div>Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies.
</div></li><li><div>Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices.
</div></li><li><div>Lead large-scale programs focused on velocity, reliability, and cost efficiency.
</div></li><li><div>Drive backlog prioritization, technical debt reduction, and vulnerability remediation 
</div></li></ul><div></div>To be successful in this role, we&rsquo;re seeking the following:
<ul><li><div>Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred
</div></li><li><div>Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling.
</div></li><li><div>Strong hands-on experience with AI Development tools like Claude CLI, Windsurf
</div></li><li><div>Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus.
</div></li><li><div>Strong Java development skills, including experience with multi-threaded and mission critical applications
</div></li><li><div>Strong Exposure and knowledge of front end technologies such as React and Angular
</div></li><li><div>Ability to solve ambiguous problems with scalable, innovative solutions.
</div></li><li><div>Clear communicator who can influence cross-functional partners.
</div></li><li><div>Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.</div></li></ul></div>

Specialist, Full-Stack Engineer

Adria Solutions Ltd

<div>
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
 
 
 
 
 We&rsquo;re looking for a
 
 hands-on AI Engineer
 
 to build real-world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Design, build, and integrate AI applications into end-to-end workflows.
 </li>
 <li>
 Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior.
 </li>
 <li>
 Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production.
 </li>
 <li>
 Establish best practices for orchestration, testing, monitoring, and operational safeguards.
 </li>
 <li>
 Evaluate emerging AI capabilities and translate them into practical, high-value implementations.
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems.
 </li>
 <li>
 Hands-on experience with LLMs, AI services, or agentic AI frameworks.
 </li>
 <li>
 Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability.
 </li>
 <li>
 Systems thinker who collaborates effectively across teams and communicates clearly.
 </li>
 <li>
 Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes.
 </li>
 </ul>
 
 
 
 
 
 Bonus if you have:
 
 AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community.
 
 
 
 
 
 Join us and help shape the future of AI-driven systems in a fast-moving, hands-on environment.
 
 
 
 
 
 Interested? Please Click Apply Now
 
 
 
 
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
</div>

Artificial Intelligence Engineer

ConnexAI

<div>
 
 
 Build Low Latency Conversational AI Systems
 
 
 
 We are building real-time conversational AI systems built on top of large language models, speech AI, and agentic workflows. Our platform combines ASR, LLMs, and TTS into production-grade AI systems used globally across enterprise environments where latency, reliability, and scalability matter.
 
 
 
 
 
 We are hiring a Machine Learning Engineer to build low-latency production systems for our LLM team. This role is centred around writing scalable code that enables real-time conversational AI to perform reliably under heavy production workloads.
 
 
 
 
 
 You&rsquo;ll work closely with our LLM and speech teams to solve challenges around inference speed, concurrency, request handling, GPU performance, distributed systems, and real-time response streaming.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Build and optimise low-latency LLM systems for real-time conversational AI
 </li>
 <li>
 Write production-grade Python code focused on performance, scalability, and reliability
 </li>
 <li>
 Design systems capable of handling large volumes of concurrent real-time requests
 </li>
 <li>
 Solve engineering challenges around batching, request scheduling, queue management, streaming responses, and distributed workloads
 </li>
 <li>
 Improve inference speed, GPU memory usage, and overall system responsiveness
 </li>
 <li>
 Deploy and optimise open-source LLMs using tooling such as vLLM, TensorRT-LLM, Triton, SGLang, CUDA, or similar technologies
 </li>
 <li>
 Build scalable orchestration layers and ML pipelines around LLM systems, including RAG and agentic workflows
 </li>
 <li>
 Develop backend inference services and APIs for production AI systems
 </li>
 <li>
 Productionise new model capabilities and features for real-world customer use cases
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 Strong experience writing production-grade software for machine learning systems
 </li>
 <li>
 Strong Python engineering skills
 </li>
 <li>
 Experience building low-latency or highly concurrent systems
 </li>
 <li>
 Strong problem-solving ability and enjoyment of building systems from the ground up
 </li>
 <li>
 Experience with distributed systems, parallel workloads, and performance optimisation
 </li>
 <li>
 Experience working with inference tooling such as vLLM, TensorRT, Triton, CUDA, ONNX, or similar technologies
 </li>
 <li>
 Experience building scalable backend services or ML systems used in production
 </li>
 <li>
 Understanding of real-time systems and performance-focused engineering
 </li>
 <li>
 Strong communication skills and ability to work closely with engineers and researchers
 </li>
 </ul>
 
 
 
 
 
 Why this role?
 
 
 
 You&rsquo;ll work on designing and building low-latency conversational AI systems capable of serving large volumes of concurrent real-time requests. The role focuses on solving difficult engineering challenges around inference speed, reliability, concurrency, GPU performance, and scalable production AI systems.
 
 
 
</div>

Machine Learning Engineer

Maxwell Bond

<div>
 
 
 AI Systems Engineer
 
 
 
 
 Location:
 
 Hybrid (Manchester)
 
 
 
 Salary:
 
 &pound;60,000 - &pound;75,000
 
 
 
 
 
 
 The Opportunity
 
 
 
 
 
 
 This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 
 
 
 
 
 This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 
 
 
 
 
 You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
 <ul>
 <li>
 Designing and building AI-powered applications and services
 </li>
 <li>
 Developing intelligent workflows and agentic systems
 </li>
 <li>
 Integrating LLMs into production software products
 </li>
 <li>
 Building retrieval, context and memory systems
 </li>
 <li>
 Designing robust APIs and backend services
 </li>
 <li>
 Evaluating AI performance, reliability and quality
 </li>
 <li>
 Implementing monitoring, testing and fallback mechanisms for AI-driven features
 </li>
 <li>
 Working closely with engineering leadership to define best practices for AI-native development
 </li>
 <li>
 Contributing to architectural decisions across a modern cloud-based platform
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills
 
 
 
 
 
 
 
 Essential
 
 
 
 
 
 <ul>
 <li>
 Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
 </li>
 <li>
 Experience building applications that utilise Large Language Models (LLMs)
 </li>
 <li>
 Experience designing and delivering production-grade software systems
 </li>
 <li>
 Strong understanding of software architecture and system design principles
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure or GCP)
 </li>
 <li>
 Strong programming skills in TypeScript, Python or similar modern languages
 </li>
 <li>
 Experience integrating external APIs and services
 </li>
 <li>
 Ability to make pragmatic technical decisions and communicate trade-offs
 </li>
 </ul>
 
 
 
 
 
 Highly Desirable
 
 
 
 
 
 <ul>
 <li>
 Experience building AI agents or agentic workflows
 </li>
 <li>
 Experience with Retrieval Augmented Generation (RAG)
 </li>
 <li>
 Experience working with vector databases and semantic search
 </li>
 <li>
 Knowledge of context management and memory architectures
 </li>
 <li>
 Experience evaluating and testing AI outputs in production environments
 </li>
 <li>
 Experience designing AI-assisted automation systems
 </li>
 <li>
 Exposure to frameworks and tooling within the modern AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Who This Will Suit
 
 
 
 
 
 
 This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 
 
 
 
 <ul>
 <li>
 Senior Software Engineer
 </li>
 <li>
 Backend Engineer
 </li>
 <li>
 Full Stack Engineer
 </li>
 <li>
 AI Systems Engineer
 </li>
 <li>
 Applied AI Engineer
 </li>
 <li>
 Platform Engineer with AI experience
 </li>
 </ul>
 
 
 
 
 Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 
 
 
 
 
 
 Why Apply?
 
 
 
 
 
 <ul>
 <li>
 Work on genuinely innovative AI-native products
 </li>
 <li>
 Influence technical direction and architecture
 </li>
 <li>
 Join a team investing heavily in modern AI technologies
 </li>
 <li>
 Solve complex engineering challenges at scale
 </li>
 <li>
 Opportunity to help shape the future of AI-enabled software development
 </li>
 </ul>
 
 
 
 
 They are committed to moving quickly on this with interview slots available.
 
 
 
 
 
 Please apply today.
 
</div>

Explore 49+ Senior ai engineer ai ml r d in Manchester this July. Find roles across top companies and apply now to boost your career.

49 senior ai engineer ai ml r d jobs In Manchester

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

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

Principal Data Scientist and Machine Learning Researcher (eDV)

Specialist, Full-Stack Engineer

Artificial Intelligence Engineer

Machine Learning Engineer

Artificial Intelligence Engineer