Sporty
Senior AI Scientist
RemoteEMEAArchived
- Role
- AI / ML
- Experience
- Senior
- Employment
- Full-time
Salary not disclosed
Check eligibility
Open to Anywhere in EMEA. Set where you work from to check your eligibility.
No BS summary
Senior AI/ML/NLP scientist with 5+ years of experience, strong LLM and conversational AI background. Needs prompt engineering, LLM optimisation, Python, SQL, evaluation/benchmarking, vector databases and production AI systems experience. EMEA-based remote role.
Core skills
LLMsPrompt EngineeringRAG
Required skills
PythonSQL
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What you'll do
- 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 they require
- 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.
Benefits
- 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
MarTech
Salary not disclosed