9 of 9 Remote/Hybrid Machine Learning Jobs in Edinburgh

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

days per week. Bonus Points (Nice to Have, Not Required)Understanding of service-oriented architecture (SOA) and building cloud-native products. Exposure to Machine Learning, Computer Vision, or AI concepts. A desire to develop a well-rounded technical skill set combining backend depth with broader architectural curiosity. Language ...

role you will loveThis role provides strategic direction and technical leadership across the Document Intelligence landscape, including intelligent document processing, workflow orchestration, AI/ML classification, OCR, API-led integration, event-driven architectures, automation platforms, data architecture, monitoring and observability, and operational governance. Working closely with the Issuer Services … Other key responsibilities: Define and govern the global target-state architecture, roadmaps, standards, and reusable patterns for Document Intelligence across IDP, OCR, AI/ML, workflow orchestration, integrations, data, and observability. Design scalable solutions leveraging OCR, computer vision, machine learning, LLMs, and generative AI, incorporating robust governance, explainability ...

Controls, or SABSA. Holds or is working towards CISSP, CISM, CCSP, or equivalent. GenAI security: experience assessing and mitigating risks in AI/ML solution architectures, including data exposure, prompt injection, model supply chain, and output integrity. Additional InformationWhy Version 1? At Version 1, we believe in providing our employees ...

automation, orchestration, and system integration, ideally with exposure to ServiceNow, AWS, Azure, Ansible, and Terraform. Track record of identifying and delivering AI/ML-driven improvements in operational environments. Additional InformationWhy Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their ...

clear technical documentation to support the effective ongoing management of developed capabilities. Essential: We are looking for:2+ years of experience within AI/ML engineering. Hands-on experience building and deploying AI agents or LLM-powered applications in production environments, including appropriate observability and evaluation mechanisms. Practical experience with … mitigated. Experience working within enterprise governance frameworks. Proficiency in one or more programming languages, such as Python, and familiarity with common AI/ML libraries. Ability to build custom tools that can interact with, or be exposed to, LLMs. Strong understanding of REST APIs, with the ability to integrate ...

owners to identify threats, evaluate the design and operating effectiveness of controls, and document and track risk treatment plans. This includes evaluating AI/ML use cases (internal builds and third-party services) for security, data protection, and misuse risks. Third‐Party Risk Management: Plan and execute third‐party risk … support privacy risk assessments and data protection controls as needed. Work with these stakeholders to assess privacy and data protection implications of AI/ML solutions, including data ingestion, training, and model outputs. AI Risk & Governance: Define and maintain security and risk guardrails for the use of AI/ML ...

identity, consent and privacy engineering across our traveller-facing products, data platforms and operational systems - spanning web, app, backend, experimentation, analytics, advertising and machine learning. What you'll be doing Setting our technical strategy: You'll define and communicate the long-term vision and roadmap for identity, consent … competing for a seat at the table. End-to-end minded: You can reason confidently across client surfaces, backend services, event streams, data products, ML features, analytics, partner exports and operational tooling - and understand how a decision in one part of the system can ripple through the rest. Practical about ...

Core: React, TypeScript, HTML5, CSS3 (SASS/Styled Components) Tooling: Webpack, Vite, Jest, Cypress Backend exposure: Python/FastAPI/Django (desirable) AI/ML Integration: Experience or curiosity around AI-driven applications or tools is a strong plus. About You Commercial experience building modern React applications in a product … design, state management, and testing frameworks. (Senior) Experience with system architecture, mentoring, and driving technical direction. Interest or hands-on experience integrating AI/ML features into frontend applications. Passion for creating clean, maintainable, and scalable code. Why Join Competitive salary – up to £75,000 + bonus Hybrid working model ...