20 of 20 Machine Learning Jobs in Edinburgh

points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic/econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and … we regularly partner with JP, EU, and US-based interdisciplinary teams. In this role, you will build production-grade machine learning models to serve best-in-class shopping and delivery experience to millions of customers on Amazon. This requires you to formulate ambiguous business problems into solvable scientific … Build large-scale data pipelines for training and evaluating the models using PySpark/SparkSQL Extensively clean and explore the datasets Train and evaluate ML models in a robust manner Design and conduct live experiments to validate model performance Automate model inference and monitoring on AWS infrastructure BASIC QUALIFICATIONS - PhD more »

Software Engineer, AI Labs, Vice President About this role Senior Software Engineer - Machine Learning AI Labs Overview: Since our founding over 30 years ago, BlackRock has brought together great minds to drive innovation. From the beginning, we have been demonstrating technology for insight and efficiency to make our … central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in data science, machine learning, generative AI, optimization, stochastic control and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. The … distributed environments. Enforce high-quality patterns and practices for maintaining model pipelines. Requirements 7+ years in software engineering, with 3+ years in API-backed ML deployment. Strong programming language skills in Python. Significant experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization more »

difference in people's lives. Together, we can solve the world's toughest hiring problems. The team for this position focuses on AI/ML based products to provide recommendations for job seekers at Amazon and building tools to better empower our recruiters to find bar raising talent. This team … both well-defined, established scientific research in the matching domain along with novel techniques developed by the team. We are looking for AI/ML scientists who can delight our customers by continually learning and inventing, and who want to use their expertise to solve real business problems. Familiarity … a strong scientific foundation to build from, experience in statistical analysis, and expertise in model building. Key job responsibilities You will work as an ML scientist in a team of other scientists and software developers. You will write scientific research for audiences with a range of scientific experience. You will more »

DESCRIPTION Join Amazon Advertising's targeting program as a Senior Applied Scientist where you'll help shape how advertisers reach relevant customers through advanced ML and statistical techniques. Our mission is to ensure targeted ads meet high relevancy standards that benefit both customers and advertisers. Working from either our Edinburgh … You will be responsible for driving end-to-end scientific processes from ideation to deployment, conducting business analysis and scientific research, and developing advanced ML models. You will apply sophisticated ML and statistical techniques to optimize advertising systems and ensure targeted ads meet high relevancy standards. Working in an agile … advertisers effectively reach their target audiences. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research Experience with large more »

and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. We are looking for AI/ML scientists who can delight our customers by continually learning and inventing, and who want to use their expertise to solve real business problems. Familiarity … a strong scientific foundation to build from, experience in statistical analysis, and expertise in model building. Key job responsibilities You will work as an ML scientist in a team of other scientists and software developers. You will write scientific research for audiences with a range of scientific experience. You will … will meet high standards of performance and reliability, and will operate at massive scale. BASIC QUALIFICATIONS - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience researching machine learning, deep learning more »

solutions that directly impact customers. This is an opportunity to work on end-to-end model development , applying a mix of statistical, mathematical, and machine learning techniques to solve complex business challenges. What You’ll Be Doing Innovative Problem-Solving – Apply financial, statistical, and machine learning … Stakeholders – Work closely with teams across the business to identify opportunities where data science can drive value. Building & Testing Models – Develop, train, and evaluate machine learning models, ensuring scalability, governance, and ethical considerations are met. What We’re Looking For Experience in a multi-disciplinary data science team … contribution 30 days of annual leave Flexible benefits including medical cover, dental cover, life insurance, shopping discounts, and more If you’re interested in learning more, apply today to explore this exciting opportunity more »

risk models to calculate risk-based prices and loadings that accurately reflect the underlying risk exposure. Pricing teams use advanced data science techniques like machine learning and optimization to understand customer behaviour and market dynamics. They combine expertise across pricing, data science, analytics and actuarial disciplines to set … the pricing team and across the organisation, promoting the use of advanced analytical techniques and tools. Mentoring and developing the pricing team, ensuring continuous learning and upskilling in data analysis and pricing methodologies To achieve this you will need to: Be a fast learner to understand our business, its … working with large or complex datasets R/Python/Matlab or coding statistical methods in other languages Knowledge of statistical and/or machine learning modelling techniques Desirable Thinking and acting strategically to drive positive change Insurance industry experience or actuarial qualification Experience with Radar, Earnix or more »

Alexa, in order to provide the best-possible customer experience for our customers. BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. 10+ years of combined academic and research experience with a strong publication record in top-tier journals and … Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work more »

Join us as a Model Risk Data Scientist If you're a keen problem solver and you're passionate about data, machine learning and statistics, we think you'll enjoy a real sense of purpose in this role You'll be harnessing your mathematical prowess to validate our … together as a team. And you'll bring this all together with: A good understanding of the mathematical methods, concepts and assumptions that underpin machine learning, statistical modelling and artificial intelligence Python programming experience and commonly used libraries in data science An appreciation of the practicalities that working more »

a high-impact Scenario Modelling team, developing and deploying advanced data science solutions to drive business strategy. What You'll Do: Build and implement machine learning models to solve complex problems. Translate data into insights through visualisation and storytelling. Collaborate with stakeholders to identify opportunities and drive decisions. … Stay ahead of emerging trends in data science and analytics. What You'll Need: Strong experience in statistical analysis, machine learning, and big data tech. Proven ability to deploy models into production. Expertise in risk management, capital management, or portfolio optimisation is a plus. Effective communication skills to more »

pipeline development. Demonstrated leadership and team management experience, including mentoring bioinformatics professionals. Strong problem-solving, organizational, and time-management skills. Desirable Skills Familiarity with machine learning techniques and their bioinformatics applications. Experience with cloud computing platforms and scalable workflows. Knowledge of statistical methods applied to genomic data. Awareness more »

improving performance to track velocity and continuously optimise output. Technical Background: Deep understanding of backend engineering , ideally PHP (Laravel, Lumen) and AWS infrastructure. AI & Machine Learning Exposure: Familiarity with AI-driven technologies and their application within SaaS products. Startup DNA: Comfortable working in an agile, fast-moving environment more »

services as well as core data principles (across data architecture, warehousing and integration). Have knowledge of key emerging technologies such as AI and Machine Learning. You will have superb team leadership skills, demonstrating the ability to motivate and inspire a team, drive a performance culture and develop high more »

improving performance to track velocity and continuously optimise output. Technical Background: Deep understanding of backend engineering, ideally PHP (Laravel, Lumen) and AWS infrastructure. AI & Machine Learning Exposure: Familiarity with AI-driven technologies and their application within SaaS products. Startup DNA: Comfortable working in an agile, fast-moving environment more »

a complex range of AI products designed to revolutionise an industry for both household customers and large corporate businesses through cutting edge computer vision, machine learning models and web applications. You will have the opportunity to work fully remote throughout the UK with plans for quarterly social events more »

a complex range of AI products designed to revolutionise an industry for both household customers and large corporate businesses through cutting edge computer vision, machine learning models and web applications. You will have the opportunity to work fully remote with plans for quarterly social events Curious? Contact me more »

System Consultant You will work closely with R&D and Operational functions to support new product development by applying power systems modelling, signal processing, machine learning and analysis techniques to ensure new and existing products can be fully delivered. You will have technical project ownership whilst implementing new more »

some experience in at least one of the relevant areas: quantum information theory, quantum thermodynamics, tensor-network methods, open quantum system dynamics, quantum control, machine learning. How to apply For informal inquiries and to apply, please get in touch directly with Simon Milz (). The application deadline for the more »

s R&D initiatives. Who we're looking for A hands-on AI engineer with a strong background in software development and experience in machine learning, LLMs, and AI system design. A strategic thinker who can bridge the gap between technical innovation and business needs. Passionate about ensuring … our AI use is ethical and responsible. A collaborator who thrives in cross-functional teams and loves learning and sharing knowledge. We're shaping the future of AI in regulated industries. You'll work with a close-knit team that values curiosity, creativity, and using innovation to create positive more »

including LLM integration, APIs, and agentic modules. Define the technical roadmap for AI systems, ensuring high availability, security, and performance. Collaborate with data scientists, ML engineers, and software engineers to optimize model deployment and infrastructure. Establish best practices for AI/ML pipelines, including data ingestion, model training, and inference. … technologies, frameworks, and methodologies. Ensure compliance with regulatory and ethical AI standards. Requirements Extensive experience in software architecture, with a focus on AI/ML systems. Strong knowledge of cloud platforms (AWS, Azure, and GCP) for AI/ML workloads. Hands-on experience with LLMs (OpenAI, Anthropic, Mistral, etc.) and … AI systems. Familiarity with AI orchestration tools (e.g., LangChain, LlamaIndex, Ray, Dask). Understanding of MLOps and CI/CD pipelines for AI/ML models. Knowledge of security best practices for AI applications. Strong analytical and problem-solving abilities. Ability to mentor and guide engineering teams on AI best more »