19 of 19 Machine Learning Jobs in Dunfermline

role We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability … though many are shorter. What you’ll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention ...

impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo … data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside ...

build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform … teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. What You'll Do Architect, design, and implement highly scalable backend services (Java ...

solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable … Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high‐performance analytical environments. Contribute to DevSecOps and cloud ...

practical experience in applied AI or machine learning Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.) Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production Solid understanding of cloud technologies, containerisation … building scalable AI applications Ability to integrate AI/ML models into real-world applications, focusing on usability and performance Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment Experience working with large datasets, particularly in relation to demand and supply forecasting ...

publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here … latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form . For additional information see our Candidate Privacy Notice . ...

launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based … Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications. Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems. Experience working with data science and engineering teams to develop AI-based features. Ability to translate complex ...

relentless about delivering value. Development Opportunities: This role offers the chance to grow your experience in large-scale data engineering, working with and learning to manage a database of over one billion records while developing best practices around efficient data handling and aggregation. You’ll also have the opportunity … architecture. Collaboration : Demonstrated ability to work effectively within a fully remote team and awareness of how your behaviour impacts those around you. Continuous Learning : Commitment to continuous learning and growth. Location : Must be based in the United Kingdom. Desirable Skills and Experience: Data Engineering : Proficiency in handling large ...

diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI-driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing … Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi-annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn ...

experience Desired Experience Experience with financial reporting or revenue management systems Testing experience across complex rules engines and financial data Experience with AI/ML implementation and/or BI/reporting solutions Experience with Azure or other relevant cloud-based solutions What Sets You Apart Excellent technical problem solving ...

unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. ...

solve one of the biggest recruitment challenges whilst ensuring every candidate has a fair and positive experience. Working closely with our AI/ML and Occupational Psychologist teams, you’ll shape how hiring teams understand talent and make their most important decisions. Key responsibilities: Own a key product area, working ...

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding ...

users and clients. Who You Are 5+ years in Software Product Management, with specific focus on Data Products, Data Platforms, or AI/ML products. Experience working as a product manager on open source technologies. You have "survived and thrived" in both fast-paced startup environments and complex corporate structures. ...

successful completion and iteration Prior involvement in pricing strategies and their practical application in trading Expertise in the realm of quantitative research and machine learning Demonstrable experience in developing and deploying low-latency solutions Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment ...

platform.The mission of GraphAcademy is to provide high-quality online training for users of all levels to make them successful. GraphAcademy provides a clear learning path for beginners to become experts within a given field with curated learning paths for Developers, Data Engineers, and Data Scientists. Courses … Neo4j GraphAcademy are intended to be fun, engaging and interactive and provide an immersive experience for learners with diverse learning preferences. What we are looking for: We are looking for an enthusiastic Curriculum Developer who is excited about teaching and engaging with Neo4j users of all experience levels. Your ...

constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution … user trust What You Will Need Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. AI & ML experience Hands-on exposure ...

what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with … Comfortable operating across global time zones and cultures Fluency in English; additional languages are a plus Additional: Experience at a high-growth AI/ML, developer tools, or API-first company Background in voice AI, conversational AI, or contact center technology Experience with customer health scoring platforms (Gainsight, ChurnZero, Totango ...