Top Machine Learning Jobs in Edinburgh

Manage customer accounts for Anduril's defense technology, overseeing deployment of products, nurturing client relationships, and collaborating with teams to meet operational needs.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

The Senior Software Engineer will build AI tools for sales efficiency, develop backend systems, and collaborate on data solutions, enhancing user experiences.

The role involves leading a Machine Learning Platform team, guiding technical initiatives, fostering engineering excellence, and supporting team growth in a high-performance environment.

As a Senior ML Engineer at Smartcat, you will enhance translation capabilities by optimizing ML models and developing benchmarks, focusing on high-performance solutions for clients.

The Technical Lead for AI Tools will build backend systems, develop AI integrations, mentor engineers, and lead the technical direction of the team.

Develop and integrate embedded solutions for drone systems, participate in sea trials, troubleshoot hardware onsite, and ensure operational stability.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

Responsible for developing and deploying AI-driven features using Python and various AI technologies, collaborating with data scientists, and maintaining AWS systems.

Develop and deploy AI-driven features using modern technologies, build data pipelines, and collaborate with data scientists to operationalize AI workflows.

The engineer will design and build scalable data infrastructures, develop batch and event-driven features, improve data quality, and collaborate with ML engineers on feature workflows.

Design and build high-scale data infrastructure for Ads ML feature computation, enhance data quality, and collaborate with ML engineers.

As a Machine Learning Engineer, you'll develop production-ready data solutions, optimize algorithms, and collaborate with product teams to enhance financial data and user insights.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

Responsible for leading ML engineering projects, developing and maintaining ML pipelines, collaborating with teams, and mentoring junior engineers.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The Senior Cloud Architect will lead cloud-based AI/ML solution development, engage with clients, enhance technical skills, and mentor team members while working with advanced AWS technologies.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

Lead a team of Software Engineers and Data Scientists to deliver AI-powered solutions for software testing, focusing on technical strategy, product direction, and quality software delivery.