Top Machine Learning Jobs in Edinburgh

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

As a Senior Enterprise Architect, you'll lead AI strategy, define transition roadmaps, and collaborate with teams to ensure compliant AI solutions across the bank.

As a Junior Quantitative Trader, support trading activities, analyze algorithm performance, improve trading workflows, and assist with compliance and risk management.

Assess run and change controls across applications, infrastructure, cloud, cyber and data. Design and test key controls, deliver audit outcomes using data and AI, perform analytics, build stakeholder relationships, and recommend compliance and process improvements.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

The Account Executive is responsible for driving sales and revenue, managing client relationships, and collaborating with cross-functional teams to grow partnerships in the mobile advertising sector.

As a Data Scientist at Wave, you'll lead high-impact projects, improve user rewards, design experiments, analyze user behavior, and implement machine learning solutions.

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

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

You will analyze and enhance AI models related to Eastern European events, annotate data feeds, and work on improving real-time data tooling.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The Customer Success Manager will lead client onboarding, manage budgets, identify new business opportunities, and build client relationships to drive growth and retention.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

As an Account Executive, you'll drive revenue growth by prospecting new business, managing client relationships, and ensuring customer satisfaction while leveraging AI in sales strategies.

The Risk Operations Specialist will manage chargebacks and fraud prevention, conducting investigations and improving processes to protect Trainline from financial losses.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

The NLP Specialist analyzes and improves NLP model behavior, collaborates with cross-functional teams, and evaluates model outputs to enhance user experience.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.