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Artificial Intelligence and Machine Learning Specialist
2 months ago
We are a forward-thinking, industry-changing law firm that is universally altering the legal landscape for the individual client. Our intention is to build a market leading financial claims law firm committed to leading financial institutions to recover compensation on behalf of its clients for mis sold financial claims.
Job SummaryWe are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will have extensive professional experience in machine learning technologies, with a particular focus on Large Language Models (LLMs) and their applications.
Key Responsibilities- Design, develop, and deploy machine learning models, emphasizing Large Language Models (LLMs) to address complex business challenges.
- Utilize Amazon Athena and PostgreSQL for effective large data handling, while leveraging AWS SageMaker for scalable and efficient machine learning solutions.
- Collaborate closely with data scientists and software engineers to optimize applications, specifically for those utilizing LLMs.
- Implement and fine-tune classification models, employing LLMs to generate code for improved speed and efficiency.
- Create and manage CI/CD pipelines using GitHub Actions to support continuous integration and deployment.
- Analyse and pre-process large datasets tailored to natural language processing and LLM tasks, and rigorously evaluate model performance through testing and experimentation.
- Document processes clearly and maintain open communication with stakeholders regarding project status and challenges.
- Significant experience in developing and deploying classification models, particularly focusing on Large Language Models.
- Hands-on experience using AWS SageMaker for advanced machine learning solutions that leverage LLMs.
- Proficient in Python for building machine learning applications with an emphasis on LLM integration.
- Demonstrate experience working with Amazon Athena for data querying and PostgreSQL for database management.
- Familiarity with BERT, Scikit-learn, and other LLMs, especially in natural language processing tasks.
- Knowledge of OpenAI technologies and models, with a focus on their applications in LLMs.
- Experience with version control systems, particularly GitHub, and CI/CD practices using GitHub Actions.
- Practical knowledge of statistical analysis and data visualization techniques.
- Hybrid working arrangement, with the flexibility to work from home or office.
- Company bonus scheme, with opportunities for career development and growth.
- Competitive salary range of £30,000 to £40,000 per year.
- 25 days annual leave, plus bank holidays and a birthday bonus day off.
- Pension and Employee Assistance program.
