Top Machine Learning Jobs in London

The Machine Learning Engineer will design, implement, and maintain machine learning models for code analysis and language processing. Responsibilities include optimizing production-grade pipelines, leading cross-team collaborations, and owning features from ideation to production, while ensuring performance and efficiency of existing ML models.

As a GenAI Architect, you will lead complex AI solutions projects, provide technical advice on ServiceNow technologies, and deliver GenAI capabilities to enhance customer business outcomes. Collaboration with various teams and staying current on industry trends is essential.

As a Senior Machine Learning Engineer II, you will design and implement AI/ML pipelines for anomaly detection on real-time data streams. Collaborating with team members, you will develop algorithms, evaluate models, and optimize solutions using various machine learning frameworks. The role emphasizes creating scalable systems for handling large datasets and providing actionable insights to customers.

As the Head of Treasury Analytics & Data Science, the role involves developing analytics strategy, improving machine learning models, and building insights to guide financial risk management. Leadership includes managing a high-performing team and collaborating with various departments for data-backed decision making.

As a Solutions Architect at Capco, you will be responsible for designing exceptional customer experiences and products. You will integrate new technologies into existing organizations and help solve complex client problems. The role involves working as part of a dynamic team to execute dev-ops strategies, launch API offerings, and develop cloud-based data analytics services.

The Senior ML Engineer will design and engineer innovative projects focused on Natural Language Processing, Data Capturing, Content Understanding, and Information Retrieval. The role involves optimizing LLM-based solutions and deep learning pipelines while ensuring efficient architectures and delivering AI/ML solutions into production.

As a Data Analytics Principal Consultant, you will lead and drive the growth of the Data practice, developing capabilities in analytics programs for financial services clients, and fostering a collaborative culture while mentoring junior data practitioners.

As an MLOps Engineer, you will develop and maintain machine learning infrastructure, ensuring the deployment and monitoring of models in production. You will work closely with data scientists and engineers to optimize workflows, leveraging cloud technologies and tools like AWS and Terraform.

As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.

The Solution Consultant will work with Sales, Product, and Client Engagement teams to drive growth by delivering tailored product demonstrations and technical solutions. Responsibilities include providing product demos, customizing solutions for clients, supporting RFPs, and assisting with implementation.

As a Product Architect, you will bridge the gap between technical and business teams, ensuring clear and actionable product backlogs. Your responsibilities include collaborating with various stakeholders to refine roadmaps, facilitating sprint planning, and ensuring that customer needs and technical best practices are integrated into product development.

As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.

The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.

The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

As a Software Engineer at Encord, you will be responsible for driving product and team growth by taking end-to-end ownership of projects, addressing complex challenges with simple solutions, and collaborating with a high-performing team. Your impact will be tangible, and you'll engage in system development and maintenance across the stack.

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.