Top Machine Learning Jobs in London

As a Senior Machine Learning Engineer, you'll bridge the gap between data science and ad systems engineering, developing solutions for model experimentation, monitoring, and pipelines, while driving innovation and best practices in machine learning systems.

As a Software Engineer, you will develop end-to-end data analytics and MLOps solutions using open-source tools, collaborate with a distributed team, debug issues, and maintain cloud-deployed solutions for public and private infrastructures.

The Staff/Senior Machine Learning Engineer will lead ML projects, design and implement end-to-end ML solutions, optimize models, and analyze security data within a collaborative team environment, contributing to cybersecurity technologies.

The Senior Machine Learning Applied Scientist will apply reinforcement learning techniques to solve real-world marketing challenges, improve algorithms, conduct research, and collaborate with engineering teams to enhance the platform and develop APIs. The role involves using advanced evaluation methods and monitoring tools, engaging with customer implementations, and contributing to product strategy.

The Senior Software Engineer will lead the development of high availability, fault tolerant software systems for BlackRock's Aladdin platform. Responsibilities include delivering compliance systems, working with product management, designing innovative solutions, and maintaining AI/ML models while mentoring developers in a collaborative environment.

As a Java Software Engineer at BlackRock, you will work on the Aladdin platform, developing high-availability software solutions, contributing to AI capabilities, and collaborating with cross-functional teams. Your role will involve taking ownership of project priorities using AGILE methodologies, maintaining AI/ML models, and designing innovative solutions to complex problems.

Develop and deploy state-of-the-art NLP models optimized for accuracy and throughput, mentor junior team members, collaborate with cross-functional teams, and contribute to production deployments in a cloud environment.

Develop and enhance Autodesk's AI/ML platform by leading system design, automation, and deployment processes. Collaborate cross-functionally to optimize workflows and implement scalable services, while leveraging big data and cloud technologies for efficiency and effectiveness.

The role involves developing scalable language services for SaaS products, optimizing models for production, and automating deployments and monitoring. Candidates will collaborate with cross-functional teams to address complex problems using data science and machine learning techniques.

As a ML Engineer, you will create and implement features to enhance revenue management for lodging customers. You'll develop machine learning models, analyze data to identify trends, and collaborate with various teams to optimize product features and pricing strategies.

The Senior ML Data Engineer will collaborate with product managers and data scientists to develop end-to-end machine learning solutions, maintain a serverless ML-powered GraphQL stack, support deployment of ML models, and manage large datasets effectively while ensuring operational infrastructure is supported.

As an Engineering Manager, you will lead multiple product teams to enhance vegetation modeling and data ingestion, manage up to 10 engineers, and ensure high-quality product delivery while fostering team growth and collaboration.

As a Senior Machine Learning Engineer on the ShelfView team, you will focus on enhancing product feature sets and improving computer vision algorithms for real-time shelf recognition. Responsibilities include end-to-end quality improvement, mentoring colleagues, and utilizing the latest research in detection and segmentation.

The AI/ML Specialist Solutions Architect at Nebius designs scalable AI solutions for clients, resolves technical challenges, and manages large-scale AI deployments utilizing Nebius services. Responsibilities include building customer relationships, delivering technical presentations, and collaborating with engineering teams.

The Senior Machine Learning Engineer will lead the development of machine learning models and algorithms for detecting account takeovers, collaborate with teams to implement solutions, monitor production models, and mentor junior members.

As a ML Engineer at Cloudbeds, you will develop and implement features for revenue management by utilizing machine learning models and data analysis to optimize pricing strategies. You will work with cross-functional teams to enhance product functionality, build data pipelines, and analyze trends to drive revenue growth for customers in the hospitality sector.

Join OfferFit as a Machine Learning Engineer, where you'll design, implement, and improve a modular AI platform, collaborate with customers, and apply your Python expertise in a fast-paced environment. You'll also support teams in successful implementations and contribute to improving development practices.