Top Machine Learning Jobs in London

The Solutions Consultant serves as a technical advisor for clients, aiding in pre-sales processes by mapping business needs to technical solutions, conducting workshops, and driving product demonstrations to educate prospects on the Indico Intelligent Intake platform.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

As a Python Engineer at Builder.ai, you'll build and manage data pipelines for machine learning, collaborate with data scientists, and contribute to AI services in the cloud, driving significant business impact.

The role involves developing scalable language services using NLP, NLU, and NLG for SaaS products. You'll build and optimize machine learning models, automate deployments and testing, and mentor team members. Contribution to building AI language features to enhance client offerings is key.

The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.

Join Contrast Security as an ML Developer to design, develop, and deploy ML models for cybersecurity. Collaborate with teams to integrate and improve models, develop the AI/ML platform, and mentor team members. Stay updated on ML trends and technologies.

As a Software Engineer in ML Research Engineering, you will develop, train, and evaluate cutting-edge machine learning models, create a scalable ML drug design platform, and work collaboratively with scientists and engineers to transform drug discovery tools. You will also be responsible for the full ML lifecycle, from prototyping to production.

Waymo is seeking research engineers to work on building ultra-realistic autonomous vehicle simulations using machine learning techniques. The role involves collaborating with teams to improve simulation realism, designing experiments, developing metrics, training large models, and integrating them into the simulator. Preferred qualifications include a strong background in deep learning, coding skills, experience in ML techniques, and expertise in data analysis. Experience in autonomous vehicles is a plus.