Job Title: Intermediate Machine Learning EngineerLocation: Hybrid, LondonTime Zone: UK (London)Working Hours: 09:00 AM to 5:00 PM (UK Time)Experience: 5-8 yearsContract Duration: 12 MonthsRole OverviewWe 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 ResponsibilitiesBuild 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 Skills4+ years of professional experience in ML/AIProficiency 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 preferredDesirable SkillsExperience in system design and ability to architect machine learning pipelines.Data visualization skills.Previous startup experience or early employee/founder experience.BenefitsOpportunity 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











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