Top Machine Learning Jobs in Edinburgh

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

The Research Lead will oversee AI climate and weather modelling research, coordinate a team, engage with partners, and ensure impactful research outputs.

The Staff/Senior Backend Engineer will bridge Quant Analysts and engineering teams, implement production-grade models, and enhance architecture and best practices.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Staff Machine Learning Engineer, you will lead cross-team ML projects, mentor engineers, and develop solutions aligning with business goals by utilizing advanced ML techniques.

As a Senior Data Insurance Analyst, you will analyze large datasets to deliver insights that aid strategic decisions, improve performance and enhance efficiency. You will work with cross-functional teams, design data models, conduct predictive analyses, and mentor junior analysts to drive business growth and innovation in the insurance sector.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

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 Machine Learning Scientist will design and build AI products, applying advanced ML techniques to transform data into actionable insights, leading cross-functional collaborations.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

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.

As a Machine Learning Engineer, you will develop and implement ML algorithms and GenAI solutions, productionize algorithms, and foster a collaborative data science culture while identifying impactful opportunities across products.

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.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Design and maintain distributed training infrastructure for Ads ML models, optimizing performance and collaborating with ML engineers on systems enhancements.