26 to 32 of 32 Remote Feature Engineering Jobs

providing data-driven recommendations that improve marketing effectiveness, product journeys, and features. Shape Predictive Modeling by collaborating with ML engineers to influence methodology selection, feature engineering, and performance evaluation of models that reveal lifetime value of users, enabling smarter investment decisions. Uncover Hidden Patterns within user behavioural data … that influence decision-makers A collaborative mindset that thrives in fast-paced environments where you'll work directly with product, marketing, finance, analytics, and engineering teams How We Work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build … Read our privacy notice for job applicants. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Flo Health Inc. by 2x Sign in to set More ❯

providing data-driven recommendations that improve marketing effectiveness, product journeys, and features. Shaping Predictive Modeling by collaborating with ML engineers to influence methodology selection, feature engineering, and performance evaluation of models that reveal lifetime value of users, enabling smarter investment decisions. Uncovering Hidden Patterns within user behavioural data … that influence decision-makers. A collaborative mindset that thrives in fast-paced environments where you'll work directly with product, marketing, finance, analytics, and engineering teams. How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build More ❯

providing data-driven recommendations that improve marketing effectiveness, product journeys, and features. Shape Predictive Modeling by collaborating with ML engineers to influence methodology selection, feature engineering, and performance evaluation of models that reveal lifetime value of users, enabling smarter investment decisions. Uncover Hidden Patterns within user behavioural data … that influence decision-makers A collaborative mindset that thrives in fast-paced environments where you'll work directly with product, marketing, finance, analytics, and engineering teams How we work We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build More ❯

this role, you will provide technical leadership in the development of our Causal AI platform, guiding both the vision and execution within our Product Engineering team, which includes software engineers, data scientists, and machine learning experts. While you will actively contribute to coding and algorithm development, you will also … development of advanced Causal AI algorithms, with a focus on time series and tabular data, ensuring they are optimised for scalability and performance. Overseeing feature engineering and machine learning initiatives to deliver robust, production-quality solutions. Providing mentoring and technical guidance to junior engineers and data scientists, fostering …/UI design, to seamlessly integrate Causal AI capabilities into our platform's architecture. A minimum of 5 years of experience in machine learning engineering or a related field, with demonstrated success in deploying machine learning models into production environments. Strong academic background in a quantitative discipline (e.g., machine More ❯

from scratch and working on various data intensive projects. Benefits: Exceptional professional growth opportunities in a tech-focused company, allowing you to enhance your engineering skills at an accelerated pace. Access to state-of-the-art technologies, enabling you to work with advanced tools and frameworks. Highly competitive bonuses … research and trading strategies. Work closely with data scientists and quant researchers to understand their data needs and build tools that facilitate data exploration, feature engineering, and model development. Monitor and improve the performance of data systems, ensuring data accuracy, low latency, and high availability for timely decision More ❯

and MLOps. Required Qualifications: PhD in a relevant discipline or Master’s plus a comparable level of experience Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯

processing downstream. Identify effective graph-based AI methodologies for our data. Leverage LLMs/ML to extract insights for better client experiences. Integrate prompt engineering techniques into LLM-driven products. Develop production-ready ML/AI pipelines. Conduct research, document findings, and share knowledge monthly. Mentor junior team members … and machine learning techniques. Knowledge of recommender systems principles. Experience with unstructured natural language data and LLMs. Proficiency in Python, data analysis, visualization, and feature engineering. Creativity in exploring innovative data applications. Excellent communication skills for explaining technical concepts. Benefits 25 days annual leave plus bank holidays Enhanced private More ❯