Top Machine Learning Jobs in London

The Engineering Manager ML - Account Takeover at Abnormal Security will lead a team of engineers to develop an enterprise-grade product focused on cloud security. Responsibilities include managing a team of multi-disciplinary engineers, sourcing and hiring technical talent, and mentoring and developing the team. Ideal candidates thrive in challenging and fast-paced environments, have experience in senior engineering roles, and possess strong soft skills. This is not a fit for candidates who prefer structured environments, lack experience in technical leadership, or prioritize only technical challenges.

As an AI/ML Data Engineer, responsible for research, building and automating predictive models, translating business requirements to technical requirements, and working with a global team of data engineers and analysts. Strong knowledge in Python, R, Microsoft Azure, machine learning, and BI technologies.

Senior Simulation Engineer at PhysicsX, responsible for setting up and building CFD & multi-physics models, automating simulation pipelines, using HPC and cloud resources, delivering technical workstreams, and applying engineering best practices.

The Solutions Engineer at Cloudera is responsible for owning the technical sales process, supporting customer technical needs, designing solutions using Cloudera technologies, and driving successful sales. The role involves presenting product roadmap, participating in external events, and advocating for customer needs. The ideal candidate will have at least 8 years of experience in a customer-facing role with expertise in technology, presentations, and customer requirements.

As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.

As a Senior ML Engineer at Mimica, you will own components of the Machine Learning pipeline, analyze and preprocess data, implement pipelines, research Computer Vision and NLP literature, and deploy models to production. You will also collaborate with frontend engineers, participate in architectural decisions, mentor team members, and contribute to hiring and onboarding processes.

Join a team working on cutting edge challenges in the Generative AI space, focusing on creating highly realistic synthetic humans through text-to-video. Develop foundational models for video generation based on large video datasets and contribute to academic research in the field. Take ownership of the full machine learning lifecycle and optimize for deployment.

Seeking a highly skilled Machine Learning Engineer with a background in Generative AI and Large Language Models (LLMs) to develop cutting-edge AI models and products. Responsibilities include developing, testing, and optimizing AI models, staying up to date with advancements in ML and AI, collaborating with cross-functional teams, and communicating complex concepts to stakeholders. Qualifications include a Master's/PhD in relevant fields, working knowledge of Generative AI, and experience in backend software development and deploying ML models.

Looking for Software Engineers with experience in developing large-scale machine learning models and modern ML frameworks. Role involves partnering with ML Research and Data Engineering teams to design and evaluate ML models at scale. Requires strong software engineering skills and understanding of ML theory and applications.

Seeking a Staff Software Engineer with a passion for machine learning operations and data engineering to join the ML Data team at HubSpot. Responsibilities include leading and innovating in machine learning data infrastructure, providing strategic direction, collaborative problem-solving, and mentorship. Looking for candidates with a track record in AI/ML system projects, ability to collaborate across the organization, industry best practices, and commitment to data quality, security, and privacy.

Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.

Senior Software Engineer position at Entrust, focusing on developing state-of-the-art machine learning-backed services for biometric verification, document classification, and fraud analysis. Responsibilities include designing and implementing ML pipelines, optimizing research projects, and providing technical guidance to other engineers. Required skills include Python, machine learning frameworks, and testing frameworks.

Seeking a Staff Software Engineer with a passion for machine learning operations and data engineering to join the ML Data team at HubSpot. Responsibilities include leading and innovating machine learning data infrastructure, offering strategic direction, collaborative problem-solving, and mentorship. Looking for candidates with a proven track record in data-intensive AI/ML system projects, ability to collaborate across the organization, industry best practices, and commitment to data quality, security, and privacy.

Join our team as an AI Inference Engineer to work on large-scale deployment of machine learning models for real-time inference. Responsibilities include developing APIs, addressing bottlenecks, improving system reliability, and implementing inference optimizations.