Harnham is looking for a Senior Staff Machine Learning Engineer to design, build, and deploy end-to-end machine learning models, focusing on ad optimization and recommendation systems. This role requires an MSc or PhD in a STEM field and a proven experience in building and deploying ML systems, with a strong background in AdTech or recommender systems.
Harnham is looking for a Technical Lead Machine Learning Engineer to join and lead a team focused on building and scaling ML-powered products, particularly in ad optimization and recommendation systems. This role involves designing, building, and deploying machine learning models, developing ML pipelines, partnering with product and R&D teams, and staying ahead of emerging ML techniques. The ideal candidate will have a strong background in AdTech or recommender systems, hands-on experience with orchestration tools and data infrastructure, and knowledge of cloud platforms and ML tooling.
Harnham is looking for a Senior Staff Machine Learning Engineer to join and lead a team focused on building and scaling ML-powered products, including ad optimization and recommendation systems. The ideal candidate will have proven experience in deploying machine learning systems, with a strong focus on personalization and targeting, while leveraging a rich behavioral dataset.
Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. The candidate will design, build, and deploy end-to-end machine learning models focused on ad optimization and recommendation systems, while collaborating with product and R&D teams to execute high-impact product strategies. Requirements include MSc or PhD in a STEM field, proven experience with ML systems, and a strong background in AdTech.
Harnham is looking for a Technical Lead Machine Learning Engineer to join their team in the San Francisco Bay Area. The successful candidate will design, build, and deploy machine learning models focused on ad optimization and recommendation systems. You will develop ML pipelines and production systems using rich behavioral data to drive user value and business ROI, collaborate with cross-functional teams, and contribute to scalable infrastructure and emerging ML techniques.
Harnham is looking for a Senior Staff Machine Learning Engineer to lead a talented team within a fast-growing tech company specializing in behavioral modeling and personalization. You will be responsible for designing, building, and deploying end-to-end machine learning models aimed at ad optimization and recommendation systems. The ideal candidate should possess a strong background in ML applied to AdTech or recommender systems and have hands-on experience with orchestration tools and cloud platforms.
Harnham is looking for a Technical Lead Machine Learning Engineer to join and lead a team focused on building ML-powered products such as ad optimization and recommendation systems. The ideal candidate will have a strong background in machine learning systems and AdTech, with hands-on experience in cloud platforms and orchestration tools.
EcoVadis is looking for a Mid-Level Machine Learning Engineer to join its growing AI Center of Excellence. This role involves leveraging data to solve business challenges, designing ML pipelines, and collaborating with scientists and engineers to implement ML solutions and ensure scalability and speed.
Eneco is looking for a Data Scientist to create data-driven innovations, services, and products. You will work in an integrated energy company analyzing data to advise on sustainable investments and improve efficiencies in operations. Candidates must possess an MSc in a STEM field and have 4 years of relevant experience, with strong skills in Python, SQL, and knowledge of data science techniques.
Pulsover is looking for a Senior Data Engineer with a deep expertise in Spark, Databricks, and AWS. In this role, you will be responsible for creating, implementing, and managing our data pipelines. You will design robust data architectures, develop efficient data integration solutions, and optimize our data infrastructure performance. You will also actively participate in cloud computing infrastructure automation and implement Lakehouse architectures.