Job Title: Intermediate Machine Learning Engineer
Location: Hybrid, London
Time Zone: UK (London)
Working Hours: 09:00 AM to 5:00 PM (UK Time)
Experience: 5-8 years
Contract Duration: 12 Months
Role Overview
We are looking for an
Intermediate Machine Learning Engineer to join our growing team. As a founding member of our ML/AI team, you will be at the forefront of developing AI-powered features and products that will revolutionize our existing systems. You will bring your expertise in machine learning and a passion for LLMs to design, implement, and refine our AI/ML solutions. This is an opportunity to make key decisions on technology and architecture in a dynamic startup environment.
Key Responsibilities
- Build next-generation AI-powered features, improving and expanding our current legal recommendation system.
- Apply state-of-the-art LLMs and prompting techniques, creating new features and training models.
- Conduct exploratory data analysis (EDA) on customer data and industry trends.
- Develop and optimize ML and deep learning algorithms for enhanced system performance.
- Own the entire lifecycle of machine learning projects, from conception to deployment.
- Work closely with frontend and backend engineers to integrate AI models, validating their performance and continuously improving them.
- Monitor, analyze, and facilitate continuous improvement of deployed ML models.
- Lead decisions on technology stack and platform architecture.
Must-Have Skills
- 4+ years of professional experience in ML/AI
- Proficiency in Python and ML packages such as PyTorch, Huggingface, Scikit-learn.
- Expertise in NLP, Kubernetes, and classical ML algorithms.
- Strong programming and algorithmic problem-solving skills.
- Familiarity with deep learning and transformer-based architectures.
- A passion for LLMs and hands-on experience with tools like Langchain in production.
- Data preparation, cleansing, and performance tracking experience.
- Big Data technologies experience.
- Understanding of statistical concepts (particularly A/B testing).
- Fluent in English with strong verbal and written communication skills.
- Candidates residing in UK, with residential VISA would be preferred
Desirable Skills
- Experience in system design and ability to architect machine learning pipelines.
- Data visualization skills.
- Previous startup experience or early employee/founder experience.
Benefits
- Opportunity to shape the future of our AI/ML roadmap.
- Significant decision-making authority on technical choices.
- Collaborative and dynamic startup environment.
Skills: llms,system design,startup experience,language modeling,pytorch,big data technologies,data visualization,huggingface,statistical concepts,machine learning,transformer-based architectures,kubernetes,python,a/b testing,langchain,machine learning pipelines,big data,classical ml algorithms,cleansing,nlp,scikit-learn,deep learning,transformer,artificial intelligence,data preparation,ml packages,performance tracking