1 to 25 of 30 Permanent Machine Learning Jobs in Scotland

Machine Learning Engineer - Facial Animation | Up to £80K depending on Seniority About Us I am representing a company at the forefront of computer facial animation, specializing in a breakthrough technology: automatic and accurate lip syncing. They are looking for new engineers to add to their team who specialise … in speech recognition. The Role I am seeking a talented Machine Learning Engineer to join our team and play a vital role in pushing the boundaries of facial animation. You will be instrumental in developing and improving the industry-leading automatic lip-syncing technology, ensuring it delivers the … highest quality facial animation on the first pass. Responsibilities: Develop, optimize, and implement machine learning models for automatic lip syncing from audio data. Collaborate with engineers and researchers to integrate machine learning models into our existing facial animation pipeline (SGX). Conduct research to explore new more »

heroes who will positively shape our future.What are the day-to-day tasks?Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … C#, or Java, with a deep understanding of software development principles.Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning more »

and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

Actions. * Develop a pipeline for the product team for building the installers to be distributed to customers via GitHub Actions. * Develop a pipeline for Machine Learning to streamline model training via Jenkins. * Design, review, and develop the implementation for an evaluation system to assess the models generated for … the Machine Learning team via Jenkins, Python, and C#. Send in your CV for an opportunity to discuss more »

an organization that's revolutionizing food and championing global humanitarian efforts with technology at its core. Joining Nestlé IT means you'll never stop learning and sharpening new skills. Tools, technologies, and innovation for the next generation of food is part of it. Working with team members from different … alignment and acceptance of the Enterprise architecture with multiple stakeholders Ability to work closely with the data scientist community and troubleshoot issues with the ML models Perform cloud governance processes Perform code reviews and recommend changes to architecture, design model, and code Test and troubleshoot frameworks Requirements Bachelor's degree … or related field 7+ years of experience in business analytics and/or IT experience 2+ years of experience in Azure Cloud technologies e.g., ML/OPS, ML Flow, Azure Data Factory, Azure Function, Data Bricks, Event Hub, Microservices/API, Python/PYSPARK/R, or SQL 2+ years more »

an organization that's revolutionizing food and championing global humanitarian efforts with technology at its core. Joining Nestlé IT means you'll never stop learning and sharpening new skills. Tools, technologies, and innovation for the next generation of food is part of it. Working with team members from different … alignment and acceptance of the Enterprise architecture with multiple stakeholders Ability to work closely with the data scientist community and troubleshoot issues with the ML models Perform cloud governance processes Perform code reviews and recommend changes to architecture, design model, and code Test and troubleshoot frameworks Requirements Bachelor's degree … or related field 7+ years of experience in business analytics and/or IT experience 2+ years of experience in Azure Cloud technologies e.g., ML/OPS, ML Flow, Azure Data Factory, Azure Function, Data Bricks, Event Hub, Microservices/API, Python/PYSPARK/R, or SQL 2+ years more »

profiles going, can demonstrate extraordinary staff retention and longevity, andare responsible for one of Europes most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into disease … get to join a small, focused delivery team working on key feature development, devops, and testing, exploring new areas of cloud computing, AI/ML, and platform engineering. You'll be key in determining architectural and design decisions, supporting junior team members, writing fantastic code, ensuring it's all fully more »

in Python and C++ programming Experience with web technologies (e.g. JavaScript, HTML/CSS, RestAPI's) Experience with data-intensive applications using AI/ML more »

you will be encouraged to take Associate, Professional and Speciality certifications and additional training that is relevant to your role. We have a successful learning and development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As a … applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk Capital more »

of data warehousing and modeling concepts Proficiency in statistical programming languages like R and Python Experience with data integration and ETL tools Knowledge of machine learning algorithms and techniques Strong problem-solving skills and working with large datasets Excellent communication skills Attention to detail and ability to work more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

related to coffee, cocoa, and other commodities. Harness tools like QGIS, Python, and JavaScript to create insightful and interactive maps and data visualizations. Develop machine learning models and pixel classification algorithms for agriculture applications. 🌐 Application Development: Create and maintain web-based applications using React and other JavaScript frameworks … manner. Ensure seamless integration of geospatial applications with existing systems and databases. 👥 Team Leadership: Mentor and guide junior analysts, fostering a culture of continuous learning and improvement. Collaborate with cross-functional teams and stakeholders to align geospatial analysis with business objectives. 📊 Project Management: Lead and manage geospatial projects, ensuring more »

techniques Technical Lead Data Engineer Desirable's: Knowledge of Data bricks and Jupyter notebooks Proven experience of Azure Services Experience in data science and Machine learning models Knowledge of TFS/Azure DevOps. AWS | GCP | Azure | TSQL | SQL | NoSQL | GraphQL | Data Warehousing | Tech Lead | Architecture | Hybrid | Edinburgh | Please more »

C++ & Python are advantageous. Knowledge of cloud computing platforms, particularly Azure. Experience of firmware development. Experience of Wireless communications, particularly BLE, WiFi. Experience of Machine Learning/AI. Benefits include: Company pension. Employee stock ownership plan. more »

provides Compliance coverage of information and data-related risk management, recordkeeping, testing and training initiatives, including the Firm's governance of Artificial Intelligence and Machine Learning (AIML) and Cloud implementation. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment more »

based subject such as Computer Science, Chemistry, Physics, Bioinformatics etc. Bonus points if you have: Experience with additional programming languages. Exposure to AI/ML techniques. Exposure to working within a Cloud environment. Please apply for more information more »

enthusiastic about supporting the growth of technical consulting within Storm ID able to work to tight deadlines, in a commercial consulting environment open to learning from others, and offering your support when needed enthusiastic about staying up-to-date with the latest technology and methodologies Ideally, you will also … professional services environment experience of working within enterprise projects with a strong data focus which could include data engineering, data platform design, data analytics, machine learning or AI. One more thing – research indicates that marginalised groups of people may not apply for jobs unless they meet 100% of more »

a global MarTech leader with a growing Scottish tech hub following several large company acquisitions You will work on a range of high scale machine learning projects and the continual development SaaS platform used by household brand names and blue chip companies In addition to coding daily with more »

e.g. Python, R) Data Engineer Desirable's: Proven experience of Azure Services Knowledge of Data bricks and Jupyter notebooks Experience in data science and Machine learning models Azure | SQL | ETL | Data Models | Python | Design | R | Data Mining | Hybrid | Edinburgh | Please apply if you are a Data Engineer and more »

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking more »

applicant should be motivated to work in a multidisciplinary team at the interface between imaging, data processing and biomedical sciences. Prior experience in microscopy, machine learning and image data analysis will be beneficial. 🛫 Training Abroad: Immerse yourself in a unique learning experience by spending valuable time at more »

gathering project scope, requirements, and designs with customers. 5+ years with core AWS Services. 2+ years experience with containerisation tooling, designing AWS Serverless Solutions, Machine Learning and automating scripts via Python. Experience deploying with AWS native tools. This opportunity offers a great company culture, with a 'remote first more »

Mid-Market Account Executive position with a New Business focus selling a Data Quality Solution across the UK&I. The solution leverages AI and ML to carry out quality checks within your data stack, catching issues early and preventing downstream impacts that bad data will cause all whilst fully integrating more »