Senior AI/ML Scientist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI/ML Scientist (AI): Developing and deploying traditional and GenAI-based machine learning models with an accent on LLM and RAG integration, model evaluation, and prompt engineering. Focus on designing advanced RAG pipelines, benchmarking GenAI models, and ensuring scalable, production-ready AI systems.
Location: Southampton or London
Company
plc is a leading wealth management business focused on financial advice, investment platforms, and multi-asset investment solutions.
What you will do
- End-to-end development and deployment of traditional and GenAI machine learning models, from discovery to deployment.
- Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks.
- Design and execute experiments to benchmark and evaluate model performance using classical and GenAI-specific techniques.
- Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness.
- Collaborate with business partners and technical teams to translate business requirements into impactful AI solutions.
- Research and innovate by staying abreast of emerging tools, techniques, and best practices in LLMs, RAG, and GenAI.
Requirements
- Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.
- Proven track record of delivering AI solutions from research to production in real-world applications.
- Strong foundation in machine learning algorithms, deep learning concepts, Neural Networks, and Transformer-based architectures.
- Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging FastAPI and Docker.
- Strong proficiency in Python and experience with NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, PyTorch, and Hugging Face.
- Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems.
Nice to have
- Domain expertise in financial services or other regulated industries.
- Experience in building knowledge bases and ontologies.
- Ability to provide mentorship and technical guidance to junior AI Scientists.
Culture & Benefits
- Holiday allowance of 26 days (182 hours).
- Opportunity to participate in the Incentive Scheme.
- Non-contributory company pension scheme with options for personal contributions.
- Private Medical Insurance (single cover as standard, with options to extend).
- Life Assurance (4x salary) and Income Protection (75% of salary after 26 weeks of absence).
- Commitment to diversity, inclusivity, equal opportunities, and a respectful work environment.
- Values: Act with integrity, be curious, embrace challenge, and foster teamwork.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →