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Senior AI Scientist

Role overview

Qualifications

  • 5+ years of experience in AI, ML, NLP or a related field.
  • Strong understanding of LLMs and conversational AI.
  • Experience with prompt engineering, prompt evaluation and LLM optimisation.
  • Strong Python and SQL skills.

Responsibilities

  • Analyse AI conversations and identify opportunities to improve response quality and user experience.
  • Design, implement and evaluate prompt engineering strategies.
  • Optimise RAG pipelines and retrieval quality.
  • Define and monitor AI quality metrics, including accuracy, relevance, latency and user satisfaction.

About the company

Sporty Group logo

Sporty Group

Sports Betting & iGaming

Sporty Group is a consumer internet and technology business with unrivaled sports media, gaming, social and fintech platforms that serve millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution. We’re fortunate enough to have already built a capable and proven team of 500+ high achievers from a diverse set of backgrounds with a common thirst for excellence and we are constantly looking for more talented individuals to power our growth and serve our users further via their grit and innovation.

Company details

Company typeScaleup
IndustrySports Betting & iGaming
Company size501 - 1000

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Job description

About the role

We are looking for a Senior AI Scientist to continuously improve the quality, accuracy and effectiveness of our AI-powered products. You will analyse AI interactions, identify improvement opportunities and optimise conversational behaviour, prompting strategies and retrieval mechanisms. Working closely with AI Engineers, you will drive measurable improvements in AI performance and user satisfaction.

What you'll be doing

  • Analyse AI conversations and identify opportunities to improve response quality and user experience.
  • Design, implement and evaluate prompt engineering strategies.
  • Optimise RAG pipelines and retrieval quality.
  • Evaluate different LLMs and recommend the most effective models for specific use cases. Potentially train customer personal models.
  • Define and monitor AI quality metrics, including accuracy, relevance, latency and user satisfaction.
  • Design and execute experiments to validate AI improvements.
  • Analyse user feedback and interaction data to continuously improve AI behaviour.
  • Collaborate with AI Engineers to deploy validated improvements into production.
  • Maintain evaluation frameworks, benchmarks and documentation.
  • Stay current with advances in generative AI and recommend practical improvements to existing products.

What you'll bring

  • 5+ years of experience in AI, ML, NLP or a related field.
  • Strong understanding of LLMs and conversational AI.
  • Experience with prompt engineering, prompt evaluation and LLM optimisation.
  • Experience evaluating conversational AI systems using qualitative and quantitative methods.
  • Strong Python and SQL skills.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management skills.
  • Proactive mindset with strong ownership and accountability.
  • Experience with speech and voice AI technologies.
  • Experience with AI evaluation frameworks and benchmarking.
  • Experience with vector databases and embedding models.
  • Knowledge of AI governance, safety and responsible AI practices.
  • Experience working with production AI systems at scale.

What's in it for you

  • Sporty is a remote first company in pursuit of sustainability
  • A competitive salary + individual performance based bonuses every quarter
  • 28 days paid annual leave
  • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
  • Referral bonuses & flash bonuses
  • Top of the line equipment
  • Annual company retreats to provide great internal networking opportunities

Interview Process

  • Remote video screening with our Talent Acquisition Team 
  • Online home assignment
  • Remote video interview with Team Members (3x45 Mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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