Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
£70к/год
£82к£110кмедиана£130к
По похожим ролям (50) ~ £110к/год
На СНГ рынке: $4.2к/мес ($2.6к - $5.1к)
60
Средняя вакансия
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Здесь можно заниматься внедрением LLM в production и получить хороший пакет льгот, но зарплата заметно ниже рыночного ориентира и снижает привлекательность вакансии.
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Зарплата ниже рынкаАктуальный стекХорошие льготыРазвитие AI-направления
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (NLP/LLM): Deploying scalable AI solutions for insurance operations with an accent on NLP models, prompt engineering, LLM fine-tuning, and AWS productionisation. Focus on building MLOps and CI/CD capabilities, monitoring models, evaluating third-party GenAI technologies, and delivering measurable solutions with cross-functional teams.
Location: London, UK — hybrid; flexible location arrangements are available within the UK.
Salary: Up to £70,000 per year, dependent on experience.
Company
hirify.global is one of the largest car and home insurers in the UK, serving more than four million customers.
What you will do
Partner with stakeholders to understand processes and data and identify high-value GenAI use cases.
Deploy scalable AI solutions across the business within the Data Science & AI team.
Collaborate with DevOps, data engineers, developers, testers, and Infosec specialists to productionise AI services in AWS.
Improve the technology stack, including MLOps, CI/CD pipelines, UI, and the AI Python library.
Assess third-party GenAI and LLM technologies for feasibility and cost-benefit.
Requirements
Proven commercial experience applying, researching, and developing NLP models, including prompt engineering and fine-tuning LLMs.
Experience working with non-technical stakeholders to scope, design, and deliver effective ML solutions.
Proficiency with the Python data science stack, including pandas, scikit-learn, and Jupyter.
Experience with version control tools such as Git.
Exposure to LLMOps, model monitoring, CI/CD, and related technologies such as Docker, MLflow, Kubernetes, and FastAPI.
Knowledge and practical experience of Agile methodologies.
Culture & Benefits
Smart Working provides flexibility around location within the UK and, for many roles, flexibility during the working day.
Permanent full-time work is offered, with part-time and job-share arrangements also available.
At least 35 days of holiday including bank holidays, with the option to buy and sell days.
Health, dental, wellbeing, insurance, pension, savings, loan, and annual bonus benefits are available.
Family benefits include paid maternity, adoption, and paternity or co-parent leave, plus partner life assurance and critical illness cover.
Additional benefits include technology discounts, car salary exchange, cycle scheme, vehicle breakdown cover, and a return-to-work programme.
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