1,694 AI Solutions jobs in the United Kingdom

The Team

OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools.

For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime , unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry.

The Goal

We’re expanding our AI capabilities and seeking an AI Solutions Manager to bridge the gap between innovation and impact. You’ll work across teams—from HR to Finance to Engineering—to identify high-value opportunities for AI, translate them into actionable use cases, and ensure successful adoption.

This role is all about making AI real: aligning projects with business goals, driving measurable results, and helping teams seamlessly integrate AI into their daily workflows. You’ll be the voice of the business in technical conversations and the advocate for AI in strategic planning.

The Player

You’re a strategic thinker with a strong grasp of both business needs and AI potential. You’ve led cross-functional initiatives, translated complex ideas into clear value, and championed the adoption of new technologies.

With strong communication, analytical skills, and a passion for impact, you know how to turn opportunity into outcomes—and how to bring others along with you.

What we can offer YOU:

• Attractive benefits that include flexible working options and opportunities for tangible career progression.
• A world-class team that's redefining the sports betting industry through AI, providing a vibrant and collaborative working environment.
• The opportunity to build on our established machine learning capabilities and help shape the next generation of AI-powered betting experiences.
• Access to cutting-edge tools , resources, and training to support your growth and development in the rapidly evolving AI landscape.
• The chance to see your work fuel innovation and deliver impactful solutions to a global betting audience.
• Regular opportunities to participate in knowledge-sharing sessions, conferences, and industry events to stay at the forefront of AI developments.
• A culture that values intellectual curiosity and encourages exploration of how AI intersects with other emerging technologies and global business trends.

And if that's not enough ; you'll enjoy a forward-thinking workplace and endless opportunities to stretch your technical expertise while making your mark on the world of sports betting technology.

Open to hiring in London, Athens OR Lviv

At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

The Team

OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools.

For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime , unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry.

The Goal

We’re expanding our AI capabilities and seeking an AI Solutions Manager to bridge the gap between innovation and impact. You’ll work across teams—from HR to Finance to Engineering—to identify high-value opportunities for AI, translate them into actionable use cases, and ensure successful adoption.

This role is all about making AI real: aligning projects with business goals, driving measurable results, and helping teams seamlessly integrate AI into their daily workflows. You’ll be the voice of the business in technical conversations and the advocate for AI in strategic planning.

The Player

You’re a strategic thinker with a strong grasp of both business needs and AI potential. You’ve led cross-functional initiatives, translated complex ideas into clear value, and championed the adoption of new technologies.

With strong communication, analytical skills, and a passion for impact, you know how to turn opportunity into outcomes—and how to bring others along with you.

What we can offer YOU:

• Attractive benefits that include flexible working options and opportunities for tangible career progression.
• A world-class team that's redefining the sports betting industry through AI, providing a vibrant and collaborative working environment.
• The opportunity to build on our established machine learning capabilities and help shape the next generation of AI-powered betting experiences.
• Access to cutting-edge tools , resources, and training to support your growth and development in the rapidly evolving AI landscape.
• The chance to see your work fuel innovation and deliver impactful solutions to a global betting audience.
• Regular opportunities to participate in knowledge-sharing sessions, conferences, and industry events to stay at the forefront of AI developments.
• A culture that values intellectual curiosity and encourages exploration of how AI intersects with other emerging technologies and global business trends.

And if that's not enough ; you'll enjoy a forward-thinking workplace and endless opportunities to stretch your technical expertise while making your mark on the world of sports betting technology.

Open to hiring in London, Athens OR Lviv

At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

• Design and architect end-to-end AI solutions, encompassing data ingestion, model training, deployment, and monitoring.
• Collaborate with clients to understand their business challenges and identify opportunities for AI application.
• Develop proof-of-concepts and prototypes to demonstrate the value of AI solutions.
• Select appropriate AI/ML frameworks, tools, and platforms based on project requirements.
• Guide the development and integration of AI models into existing systems and workflows.
• Ensure AI solutions are scalable, reliable, secure, and maintainable.
• Provide technical leadership and mentorship to data science and engineering teams.
• Stay abreast of the latest advancements in AI research, techniques, and technologies.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Develop technical documentation, including architecture diagrams, design specifications, and best practices.
• Contribute to the development of reusable AI components and accelerators.
• Evaluate and recommend cloud-based AI services and platforms.
• Assess AI project risks and develop mitigation strategies.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
• Minimum of 6 years of experience in AI/ML development and architecture.
• Proven experience designing and deploying AI solutions in production environments.
• In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP/CV techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in programming languages such as Python and familiarity with relevant libraries (e.g., scikit-learn, pandas).
• Strong understanding of data engineering principles and MLOps practices.
• Excellent problem-solving, analytical, and strategic thinking skills.
• Exceptional communication, presentation, and client management abilities.
• Experience in agile development methodologies is a plus.
• Strong understanding of ethical considerations in AI development and deployment.

• Design and architect end-to-end AI/ML solutions, from data ingestion and processing to model training, deployment, and monitoring.
• Evaluate and select appropriate AI/ML technologies, frameworks, and platforms based on project requirements and business objectives.
• Collaborate closely with data scientists, engineers, and business stakeholders to define project scope, technical specifications, and roadmaps.
• Develop proof-of-concepts (POCs) and prototypes to demonstrate the feasibility and value of AI solutions.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Ensure the scalability, performance, security, and maintainability of AI solutions.
• Stay abreast of the latest advancements in AI, machine learning, and related fields, and identify opportunities for innovation.
• Develop and maintain technical documentation, including architecture diagrams, design specifications, and implementation guides.
• Present technical solutions and findings to both technical and non-technical audiences.
• Troubleshoot and resolve complex technical challenges related to AI system implementation and operation.

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 8 years of experience in designing and implementing AI/ML solutions, with at least 3 years in a solutions architect role.
• Proven experience with various machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of data engineering principles, cloud platforms (AWS, Azure, GCP), and MLOps practices.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with Big Data technologies (e.g., Spark, Hadoop) is highly desirable.
• Excellent understanding of software development lifecycle and agile methodologies.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Exceptional communication and presentation skills, with the ability to articulate complex technical concepts clearly.
• Demonstrated ability to lead technical teams and influence decision-making.

• Design and architect end-to-end AI solutions, from data ingestion and preprocessing to model training, deployment, and monitoring.
• Evaluate and select appropriate AI/ML tools, frameworks, and platforms based on project requirements.
• Collaborate with data scientists, engineers, and product managers to define AI strategies and roadmaps.
• Translate complex business problems into technically feasible AI solutions.
• Develop proof-of-concepts (PoCs) and prototypes to demonstrate the viability of AI solutions.
• Oversee the implementation and integration of AI models into existing systems and workflows.
• Ensure AI solutions are scalable, secure, and maintainable.
• Stay abreast of the latest advancements in AI, machine learning, and related technologies.
• Provide technical leadership and mentorship to junior team members.
• Communicate technical concepts effectively to both technical and non-technical audiences.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
• Proven experience (7+ years) in designing and implementing AI/ML solutions in a professional setting.
• In-depth knowledge of machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and NLP techniques.
• Proficiency in programming languages such as Python and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong understanding of data engineering principles and big data technologies.
• Excellent analytical, problem-solving, and architectural design skills.
• Effective communication and collaboration skills, with the ability to present complex ideas clearly.
• Experience working in a hybrid or agile development environment.

• Design and architect end-to-end AI and Machine Learning solutions for clients.
• Collaborate with stakeholders to gather and define technical requirements.
• Evaluate and recommend appropriate AI/ML models, algorithms, and tools.
• Develop comprehensive technical roadmaps and solution blueprints.
• Oversee the implementation and deployment of AI solutions.
• Ensure solutions are scalable, secure, and performant.
• Stay abreast of the latest advancements in AI, ML, and data science.
• Provide technical leadership and guidance to development teams.
• Present complex technical concepts to both technical and non-technical audiences.
• Contribute to pre-sales activities, including solution proposals and demonstrations.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum of 5 years of experience in AI/ML development and architecture.
• Proven experience designing and deploying production-level AI solutions.
• Strong understanding of machine learning algorithms, deep learning, NLP, and computer vision.
• Proficiency with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Expertise in programming languages such as Python, Java, or Scala.
• Experience with MLOps principles and tools.
• Excellent problem-solving, analytical, and strategic thinking skills.
• Strong communication and presentation abilities.
• Ability to work effectively in a hybrid environment.

• Design, develop, and deploy scalable and robust AI/ML models and solutions.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI strategy and roadmap.
• Translate business requirements into technical specifications for AI systems.
• Evaluate and select appropriate AI/ML algorithms, tools, and frameworks for specific projects.
• Develop and maintain deep understanding of AI/ML technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Architect end-to-end AI pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Ensure the ethical and responsible development and deployment of AI systems, adhering to best practices and regulatory guidelines.
• Provide technical leadership and mentorship to junior team members.
• Stay abreast of the latest research and advancements in the field of AI and machine learning.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Troubleshoot and optimize existing AI systems for performance and scalability.
• Contribute to the company's intellectual property through patents and publications.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Extensive experience in designing and implementing AI/ML solutions in a commercial setting.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with major AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven ability to lead complex technical projects and mentor teams.
• Strong communication and interpersonal skills, with the ability to articulate technical concepts effectively.
• Experience with MLOps principles and practices is a plus.