1 to 25 of 66 Machine Learning Jobs in Edinburgh

Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing, and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart … from the crowd is our vibrant and unwavering pursuit of excellence. Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio … software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to build groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute to the development More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading … solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a … set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to More ❯

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Job ID: Amazon Development Centre (Scotland) Limited Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring … 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 ❯

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 to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and … record of statistical analysis and building models to solve real business problems, with strong communication skills, and a passion for fairness and explainability in ML systems. The role offers an exceptional opportunity for growth and to make a real difference to Amazon recruitment. If you are selected, you have the … by inventing, improving, and building world-class systems, delivering results, working on exciting and challenging projects. 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 ❯

You will need to login before you can apply for a job. Senior Software Engineer, AI & ML, Vice President Sector: Banking and Financial Services Role: Senior Executive Contract Type: Permanent Hours: Full Time About this role Senior Software Engineer - Machine Learning AI Labs Overview: Since our founding over … our business and help clients realize their objectives. AI Labs was formed to solve strategic business challenges by leveraging our expertise in data science, machine learning, and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. We are looking for candidates with … 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 ❯

pipelines, combined with a strong focus on observability and the ability to leverage vendor technologies to deliver impactful solutions. While this is not an ML development role, familiarity with the machine learning lifecycle is an advantage. Your ability to solve problems collaboratively with your teammates, and your passion … high quality. Key Responsibilities Distributed Systems Development : Design and build scalable distributed systems using Java-based microservices and Python batch processing to support our ML models, evaluation, and observability. Model Lifecycle : Create and maintain robust model deployment pipelines using PySpark and Databricks, ensuring efficient and reliable data flow across AI … data flow and processing. Cloud Vendor Experience : Hands-on experience leveraging vendor technologies like AWS and Databricks to deliver scalable, robust solutions.. AI/ML Lifecycle Awareness : Familiarity with the machine learning lifecycle (e.g., tools like MLflow, Data Bricks Model Serving) and its integration into production systems. Collaboration More ❯

pipelines, combined with a strong focus on observability and the ability to leverage vendor technologies to deliver impactful solutions. While this is not an ML development role, familiarity with the machine learning lifecycle is an advantage. Your ability to solve problems collaboratively with your teammates, and your passion … high quality. Key Responsibilities Distributed Systems Development : Design and build scalable distributed systems using Java-based microservices and Python batch processing to support our ML models, evaluation, and observability. Model Lifecycle : Create and maintain robust model deployment pipelines using PySpark and Databricks, ensuring efficient and reliable data flow across AI … data flow and processing. Cloud Vendor Experience : Hands-on experience leveraging vendor technologies like AWS and Databricks to deliver scalable, robust solutions.. AI/ML Lifecycle Awareness : Familiarity with the machine learning lifecycle (e.g., tools like MLflow, Data Bricks Model Serving) and its integration into production systems. Collaboration More ❯

Graduate Machine Learning Engineer - Edinburgh - £30k This range is provided by Nichols Digital Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Edinburgh based role, with one day a week remote/home working. Paying … range of machine learning techniques suitable for various data shapes and types. Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement. Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets. Assist … Concept (PoC) projects by analysing data outputs and assessing model performance. Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences. Contribute to automation of data analysis workflows to streamline reporting and validation processes. Seniority level Entry level Employment 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 ❯

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 ❯

small and growing data team, reporting directly into the Head of Data and AI. The core of the role will be developing and deploying Machine Learning … models, which will be integrated into various platforms including their website, to allow for better customer personalisation and product recommendations. You will also implement ML Ops, leverage AI tools such as Copilot to improve efficiency, and work closely with the Data Engineers to ensure the successful integration and scaling of … business that is really investing in their data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial More ❯

this role, you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically … involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering, or large language models. We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful outcomes. … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing 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 … data science-related body. Key Technical Skills Ability to abstract complex business problems into data, model, and decisioning ecosystems. Advanced knowledge of Statistics and ML techniques. 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. 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 use cases in existing and new client conversations. Excellent people skills, with ability to engage confidently More ❯

this role you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically … involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering or large language models. We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful outcomes. … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing More ❯

will lead the development of data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. A key responsibility … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Experience leading a team, coordinating others, and managing several research projects simultaneously. Fluency in one or more data science programming languages More ❯

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 to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and … analysis and building models to solve real business problems, has great leadership and communication skills, and has a passion for fairness and explainability in ML systems. The role offers an exceptional opportunity for growth and to make a real difference to Amazon recruitment. If you are selected, you have the … world-class systems, delivering results, working on exciting and challenging projects. 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 ❯

natural leader with a passion for empowering teams and driving operational excellence in AI and machine learning? Whether you come from a ML/AI engineering, data engineering or software engineering background, Trustpilot is looking for a driven Engineering Manager to lead our AI Platform team! The Mission … Trustpilot, you’ll lead a team focused on building and maintaining the infrastructure, tools, and processes that enable scalable, reliable, and efficient AI and ML operations. Your leadership will be key in defining and evolving best practices for deploying, monitoring, and managing AI and ML models in production. Your technical … expertise and leadership will shape the future of AI and ML operations at Trustpilot. Your role as an Engineering Manager: Lead, mentor, and inspire a team of engineers, fostering a collaborative and high-performance environment. Drive the team’s technical vision, ensuring alignment with business goals and best practices in More ❯