1 to 25 of 78 Machine Learning Jobs in Edinburgh

your career and the solutions we deliver for our clients. As a Customer Data Modelling Consultant, you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex … analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets More ❯

career and the solutions we deliver for our clients. As a Data Science Consultant Architecture focus, you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex … analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets More ❯

the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models. Model Monitoring: Help monitor the performance of … in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine More ❯

Job Description: We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models to solve complex problems and improve our products. Key Responsibilities: Develop and implement machine learning algorithms and models. Analyze large datasets to extract meaningful insights. Collaborate with cross-functional teams to integrate machine learning solutions. Optimize and maintain existing machine learning models. … Stay updated with the latest trends and advancements in machine learning and AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine 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 ❯

Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to … LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You … diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a More ❯

play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machine learning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯

Job ID: Amazon Development Centre (Scotland) Limited We're looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on … impact working with a team of world-class engineers and scientists across the Edinburgh offices and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will … and compellingly relevant, exemplifying good scientific practice in a business environment. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language More ❯

engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large … Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy … and deep learning models for large scale customer facing product of features - Hands on experience with LLMs - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that More ❯

or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we … innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming … and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer More ❯

provide engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. Our goal is to enable seamless reasoning and customer experiences that surpass previous machine learning models. We seek a passionate, talented, and resourceful Applied Scientist specializing in Natural Language Processing (NLP), Recommender Systems, and/or Information … role involves inventing and building scalable solutions for a state-of-the-art context-aware speech assistant. The ideal candidate will have a strong machine learning background and a desire to innovate in these areas. They should enjoy working in dynamic environments, be self-motivated to tackle challenging … building machine learning or deep learning models for large-scale customer-facing products or features Publications in peer-reviewed NLP/ML conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) Strong software development skills Excellent written and verbal communication abilities Amazon is an equal opportunity employer More ❯

with client needs for impactful and effective implementations. Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Design … reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. … management, with a focus on scalable deployments on platforms such as AWS, GCP, and Azure. Extensive hands-on experience with cloud-based AI/ML solutions and programming languages (e.g., Python, PySpark), data modelling, and microservices. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP More ❯

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes … Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud … ensuring accurate handling of financial claims while maintaining strong vendor relationships. BASIC QUALIFICATIONS PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing More ❯

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Sector: Data Science, Project and Program Management, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent … right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the … services for use in the HR and Recruiting functions at Amazon. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language More ❯

basic***** IMPORTANT PLEASE READ - Aiming for candidates to start between the end of June and End of August - SUMMER START DATE Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools. An exciting AI company in Edinburgh are … looking for several passionate & enthusiastic Graduate Machine Learning Engineer's to start between the end of June and end of August. More ❯

2+ years of building machine learning models for business application experience - PhD, or a Master's degree and experience in CS, CE, ML or related field research - Experience programming in Java, C++, Python or related language - 3+ years' experience with modeling languages and tools like PyTorch/TensorFlow … R, scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing - 1+ years experience in building conversational AI and …/or natural language processing systems. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - 2+ years experience with large scale distributed 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 ❯

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs operating across … cloud environments. With over a decade of experience and recent strategic acquisitions, they are evolving into a product-led platform business - leveraging AI/ML insights, structured cost data, and seamless integrations to drive cloud ROI. A proud member of the FinOps Foundation, the company is at the forefront of … talent to unlock the next phase of intelligent automation and cost intelligence. The Role: As one of the first UK/Northern Ireland ML engineering hires, this is a rare opportunity to shape both the technical foundation and future team culture. You'll be a core member of a More ❯

ML/AI Engineer - £60,000 - Remote Company Overview: Our client is a Microsoft-partnered consultancy that excels in delivering exceptional data and AI solutions to a diverse array of clients. Their expertise includes advanced data analytics, artificial intelligence, and custom finance solutions, ensuring tailored support for each unique business … their Data & AI team, and with VC backing the sky is the limit! Role Overview: The client is looking for a talented Data/ML engineer to come in as a consultant to work on a large variety of projects across multiple industries. The role will utilise all the latest … AI tech including Gen-AI, ML and Open AI. As a consultant you will be working directly with clients to understand business needs and implement industry best AI solutions accordingly. Requirements: Strong Python experience, particularly for AI/ML use Experience with cloud technology, Azure preferred Data Science, Machine More ❯

all our sectors. You will use your knowledge and practical experience to develop a best practice operating model to assure robust and commercially viable machine learning solutions are deployed and adopted with clients. You will line-manage members of the Decision Sciences and Machine Learning team … address their problem. Advanced knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods). Advanced knowledge of ML techniques (in both a supervised and unsupervised learning context). Proficient in a range of programming languages (Python and/or R preferable, SQL … C#, Java). Solid grasp of popular and emerging technology stack for building and orchestrating ML solutions and decision algorithms, such as Databricks. A strong grasp of profit-loss dynamics and value drivers in a range of commercial settings. Key Business Skills Ability to spot commercial opportunities for data science More ❯

all our sectors. You will use your knowledge and practical experience to develop a best practice operating model to assure robust and commercially viable machine learning solutions are deployed and adopted with clients. You will line-manage members of the Decision Sciences and Machine Learning team … address their problem. Advanced knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods). Advanced knowledge of ML techniques (in both a supervised and unsupervised learning context). Proficient in a range of programming languages (Python and/or R preferable, SQL … C#, Java). Solid grasp of popular and emerging technology stack for building and orchestrating ML solutions and decision algorithms, such as Databricks. A strong grasp of profit-loss dynamics and value drivers in a range of commercial settings. Key Business Skills Ability to spot commercial opportunities for data science More ❯

Digital Acceleration The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving digital business problems. Key Job Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. … Experience building machine learning models or developing algorithms for business applications. PhD, or a Master's degree and experience in CS, CE, ML or related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and … structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication More ❯

DESCRIPTION The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key job responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate … Experience building machine learning models or developing algorithms for business application. PhD, or a Master's degree and experience in CS, CE, ML or related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and … structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication More ❯

develop a wide range of new skills on the job. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business … templates for emerging technologies based on client delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural … Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty). Certified cloud Architect Experience of delivering production AI/ML services for scaled end user consumption What's in it for you At Accenture in addition to a competitive basic salary, you will also have More ❯

on larger projects and factor complex efforts into independent tasks that can be performed by you and others. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++ … Python or related language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark More ❯