National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Team Lead - AI Bots

Sportserve
Leeds
7 months ago
Applications closed

Related Jobs

View all jobs

Data Science & Analytics Team Lead

Data Science & Analytics Team Lead

Senior Data Analyst - TikTok LIVE - London

Tech Lead Manager, Machine Learning - Perception

Data Science Manager

Software Engineering Manager - Machine Learning- Systematic Quant Fund


Sportserve Banner 1.jpegSportserve forms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for our users worldwide. Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are the driving force behind the world renowned sports betting company and our flagship brand, Dafabet.Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations and Media. We pride ourselves on having a diverse and international culture that embraces the global community and acts locally. We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice.

This role offers an exciting opportunity to lead cutting-edge conversational AI projects, directly impacting user engagement and business efficiency.

We are looking for an experienced and motivated Team Lead to lead our AI Bots team, specializing in Dialogflow CX (DFCX) as our primary solution for conversational AI development. The ideal candidate will be responsible for designing, implementing, and optimizing advanced chatbot and virtual assistant solutions that enhance customer engagement and drive operational efficiency.


What you'll be getting up to: 

AI Bot Development & Optimization

  • Lead the design and development of advanced conversational agents using DFCX to deliver engaging and accurate user experiences.
  • Oversee the integration of DFCX solutions across multiple channels, ensuring a seamless and consistent user interaction.
  • Manage end-to-end bot lifecycle, including intent management, entity extraction, fulfillment integration, and dialog flow optimization.

Natural Language Processing (NLP) & Machine Learning

  •  Implement and fine-tune NLP models to improve bot understanding and response accuracy.
  • Develop and apply machine learning algorithms, such as intent recognition and entity matching, to continuously improve bot performance.
  • Experiment with new NLP and AI techniques, including advanced language models, to enhance the capabilities of DFCX-based bots.

Data Analytics & Feedback Loop

  •  Analyze user interactions and conversation data to identify improvements in bot performance and user satisfaction.
  • Set up feedback loops for continuous improvement of bots, using metrics such as response accuracy, user sentiment, and engagement rates.
  • Design and implement A/B testing strategies to evaluate bot enhancements and refine conversation flows based on user behavior.

System Integration & Support

  • Lead integration efforts of DFCX bots with backend systems, APIs, and databases, ensuring efficient data flow and real-time information delivery.
  • Coordinate with IT, customer support, and product teams to ensure bots align with business objectives and technical infrastructure.
  • Provide incident support, quickly identifying issues and implementing solutions to ensure minimal disruption to user interactions.

Leadership & Collaboration

  • Mentor and guide a team of developers, data scientists, and designers in best practices for DFCX bot development.
  • Collaborate with cross-functional teams to identify and prioritize AI bot use cases aligned with business goals.
  • Promote a collaborative team culture, encouraging knowledge sharing and ongoing skill development.

Skills and Experience:

Dialogflow CX Expertise

  • Advanced experience with DFCX, including conversation design, intent management, and multi-channel deployment.
  • Proficiency in DFCX-specific capabilities such as session management, response generation, and flow design.

Programming & Frameworks

  • Strong proficiency in Python (3.8+) and experience with relevant frameworks like Flask and FAST API.
  • Familiarity with front-end technologies for chatbot UI/UX integration is a plus.

NLP & Machine Learning

  • Deep knowledge of NLP and ML, with experience implementing models for intent recognition, entity extraction, and contextual conversation.
  • Experience with frameworks like PyTorch, Hugging Face, or TensorFlow for custom NLP models.

Data Analysis & Testing

  • Skilled in using data analytics tools to monitor bot performance and conduct A/B testing.
  • Familiarity with SQL and data visualization tools to generate insights on user interaction and bot efficacy.

Systems Integration & CI/CD

  • Experience with API integration, backend systems, and real-time data handling for seamless bot functionality.
  • Knowledge of CI/CD tools like GitLab, GitHub Actions, and Jenkins for efficient and consistent deployments.

Communication & Collaboration

  • Strong communication skills with the ability to translate technical details for non-technical stakeholders.
  • Proven experience working in agile teams, driving collaboration and achieving milestones.

Requirements:

  • Bachelor’s degree in Computer Science, AI, or a related field, or equivalent experience.
  • 4-6 years of experience in AI and conversational bot development, including hands-on work with DFCX.
  • Strong problem-solving and analytical skills, with a proactive approach to innovation and quality improvement.


**We warmly invite applications in English.Diversity & Inclusion at Sportserve

At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace. We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives. Embracing diversity not only enriches our work culture but also drives innovation and excellence. We are proud to be an equal opportunity employer, where everyone’s contribution is valued and respected.

If you’re a passionate about technology and looking to start your career in an international, forward-thinking Sports Betting company, we’d love to hear from you. Apply now to become part of our exciting journey!

National AI Awards 2025

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 Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.