26 to 50 of 77 Data Science Jobs in Scotland

Data Engineer - UK - Remote A leading AI-powered search intelligence platform is hiring a Data Engineer to join their globally recognised data team. If you're passionate about distributed systems, real-time data, and cutting-edge tech, this is your chance to make a real impact at an award-winning AI tech company. About the role … Build and maintain distributed data systems processing millions of data points daily. Design complex Spark jobs, asynchronous APIs, and scalable data pipelines. Collaborate with Data Science and Web teams to deliver user-centric solutions. Use Gen AI tools to accelerate development and improve quality. Requirements: Strong experience with Scala, Java, and distributed systems (Spark). … Hands-on expertise in ETL workflows, orchestration tools, and cloud platforms. Familiarity with Gen AI tools for coding and debugging. Solid understanding of data structures, algorithms, and database technologies. A collaborative mindset and a passion for solving complex problems. Benefits: Trust-Based Vacation Policy - take time off when you need it Private Medical Healthcare Generous Parental Leave & Pension Scheme More ❯

Data Engineer - UK - Remote A leading AI-powered search intelligence platform is hiring a Data Engineer to join their globally recognised data team. If you're passionate about distributed systems, real-time data, and cutting-edge tech, this is your chance to make a real impact at an award-winning AI tech company. About the role … Build and maintain distributed data systems processing millions of data points daily. Design complex Spark jobs, asynchronous APIs, and scalable data pipelines. Collaborate with Data Science and Web teams to deliver user-centric solutions. Use Gen AI tools to accelerate development and improve quality. Requirements: Strong experience with Scala, Java, and distributed systems (Spark). … Hands-on expertise in ETL workflows, orchestration tools, and cloud platforms. Familiarity with Gen AI tools for coding and debugging. Solid understanding of data structures, algorithms, and database technologies. A collaborative mindset and a passion for solving complex problems. Benefits: Trust-Based Vacation Policy - take time off when you need it Private Medical Healthcare Generous Parental Leave & Pension Scheme More ❯

the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at … transformation, build a modern digital ecosystem using exciting technologies and do the best work of their careers. Your Key Responsibilities And Impact Designing, developing, and maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement … troubleshooting, and optimisation skills across the stack. Solid understanding of machine learning lifecycle and serving LLMs in production environments. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certifications such as AWS Certified DevOps Engineer, AWS ML Engineer, AWS Certified Solutions Architect, Strong communication skills, with experience working in Agile teams (Scrum More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to support business objectives. Your role … will also involve optimizing workflows, integrating CI/CD pipelines, and ensuring the scalability and reliability of AI-driven solutions. Key Responsibilities : Model Deployment : Collaborate with data scientists to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement … and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker) Problem-solving skills with the ability More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯

senior executives Proven ability to drive innovation and continuous improvement in workforce planning processes Strong communication and presentation skills, able to convey complex information clearly Certification in workforce planning, data science, or people analytics, or equivalent Experience leading technical capabilities such as scenario forecasting or data science Demonstrated success building complex, long-term workforce plans for More ❯

the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at … exciting technologies and do the best work of their careers. Your Key Responsibilities And Impact Lead the design, development, and evolution of robust tooling and platforms to support scalable Data Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using … dept understanding of the ML lifecycle, with practical experience deploying and managing LLMs and generative AI models in production. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related technical field. Industry-recognised certifications such as AWS Certified DevOps Engineer, AWS Machine Learning Specialty, or AWS Solutions Architect - Professional. Strong written and verbal communication skills More ❯

Catalog Specialist, WWRR Science Annotation Team In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to 'making zero happen' - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in … our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get … team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development - all helping to delight our customers through new experiences throughout their Amazon shopping More ❯

you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients … from either our Edinburgh. Glasgow, Leeds, Manchester or Warrington offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization … techniques to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering More ❯

and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Requirements Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python … Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days holiday plus your birthday off (including More ❯

applications under the guidance of the Senior AI Manager. Role Overview: As an AI Engineer, you will be responsible for developing, deploying, and optimizing AI models while collaborating with data scientists and software engineers. You will work with technologies such as deep learning, embeddings, vector search, and Generative AI to build robust AI-powered solutions. Key Responsibilities: Develop and … optimize AI/ML models with a focus on Generative AI, embeddings, and vector search. Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX. Collaborate with data scientists to integrate AI models into production systems. Maintain and enhance AI pipelines, ensuring efficiency and scalability. Conduct research on the latest AI advancements and implement innovative solutions. Assist in … learning by regularly reviewing academic literature and research papers. Capable of translating theoretical insights into practical, real-world solutions. Required Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. 3+ years of experience in AI/ML development. Generative AI experience with Hugging Face, fine-tuning open-source LLMs More ❯

This role is for 12-month maternity cover About Smart Data Foundry Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives. What we do We enable the research ecosystem to flourish through the provision of research ready real financial data. We create data-driven … insights based on real financial data, that identify areas to inform policy change and enhance regulation. Role Purpose This role is for 12-month maternity cover The Product Owner is responsible for defining and prioritising the product backlog for the Smart Data Foundry (SDF) product portfolio, ensuring that SDF delivery teams deliver high-quality products that meet customer … needs and align with business goals. The role works reports into the Product Manager and works closely with Delivery Manager, Data Science Team and Platform (engineering) Team, as well as wider stakeholders across SDF to build on the product strategy and requirements to create detailed user stories and ensure that the product vision is realised. Key Responsibilities User More ❯

This role is for 12-month maternity cover About Smart Data Foundry Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives. What we do We enable the research ecosystem to flourish through the provision of research ready real financial data. We create data-driven … insights based on real financial data, that identify areas to inform policy change and enhance regulation. Role Purpose This role is for 12-month maternity cover The Product Owner is responsible for defining and prioritising the product backlog for the Smart Data Foundry (SDF) product portfolio, ensuring that SDF delivery teams deliver high-quality products that meet customer … needs and align with business goals. The role works reports into the Product Manager and works closely with Delivery Manager, Data Science Team and Platform (engineering) Team, as well as wider stakeholders across SDF to build on the product strategy and requirements to create detailed user stories and ensure that the product vision is realised. Key Responsibilities User More ❯

This role is for 12-month maternity cover About Smart Data Foundry Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives. What we do We enable the research ecosystem to flourish through the provision of research ready real financial data. We create data-driven … insights based on real financial data, that identify areas to inform policy change and enhance regulation. Role Purpose This role is for 12-month maternity cover The Product Owner is responsible for defining and prioritising the product backlog for the Smart Data Foundry (SDF) product portfolio, ensuring that SDF delivery teams deliver high-quality products that meet customer … needs and align with business goals. The role works reports into the Product Manager and works closely with Delivery Manager, Data Science Team and Platform (engineering) Team, as well as wider stakeholders across SDF to build on the product strategy and requirements to create detailed user stories and ensure that the product vision is realised. Key Responsibilities User More ❯

This role is for 12-month maternity cover About Smart Data Foundry Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives. What we do We enable the research ecosystem to flourish through the provision of research ready real financial data. We create data-driven … insights based on real financial data, that identify areas to inform policy change and enhance regulation. Role Purpose This role is for 12-month maternity cover The Product Owner is responsible for defining and prioritising the product backlog for the Smart Data Foundry (SDF) product portfolio, ensuring that SDF delivery teams deliver high-quality products that meet customer … needs and align with business goals. The role works reports into the Product Manager and works closely with Delivery Manager, Data Science Team and Platform (engineering) Team, as well as wider stakeholders across SDF to build on the product strategy and requirements to create detailed user stories and ensure that the product vision is realised. Key Responsibilities User More ❯

shaping and growing our information warfare research and development portfolio. What You'll Do The Senior Applied Scientist position sits within the Innovation portfolio, where cross-disciplinary teams of data and computer-scientists, engineers and strategists work together to research, design, build and support projects and services across the Spectrum Management, Electromagnetic Warfare (EW) and Information Warfare (IW) domains. … What You'll Bring You are an active researcher in a relevant discipline (behavioural science, applied mathematics or data science, for example) with a social science focus, and are passionate about developing and applying leading edge theory and technology to real-world problems in the national interest. You prefer to work collaboratively in cross disciplinary teams … to achieve complex objectives. Desirable Knowledge and Skills Science : Contribute to the organisation's research goals by leading and conducting research into approaches for: Cognitive behavioural modelling and computational psychology to simulate human-decision making and human-AI teaming. Improve workflow integration; and more broadly, identifying information/influence campaigns. Forecasting the reach and impact of such campaigns, understanding More ❯

Graduate/Junior Data Scientist (AI) Central Belt Scotland, Hybrid Excellent opportunity to work with a fast paced automation intelligence company. Junior/Graduate Data Scientist - Artificial Intelligence Location: Specify Location or Remote Salary: Competitive + Benefits About the Role We are seeking a bright and driven Junior/Graduate Data Scientist to join a forward-thinking … AI research and development team. This is a rare opportunity to apply advanced mathematics, data science, and artificial intelligence to solve complex real-world problems in automation, document intelligence, and information retrieval. You'll work on projects at the cutting edge of AI, from natural language processing (NLP) and computer vision to Retrieval-Augmented Generation (RAG) and explainable … You'll Do Research & Develop AI/ML solutions for document intelligence, information retrieval, and automation. Build and enhance NLP and computer vision systems to extract, classify, and structure data from unstructured documents. Work with RAG architectures, implementing advanced document chunking, GraphRAG, and ScaNN to boost retrieval precision. Deploy AI-powered bots and web applications on cloud platforms (e.g. More ❯

appetite for taking calculated risk, demonstrate a high level of original thinking and intellectual curiosity. Role and Responsibilities: Design, develop, and maintain performant, scalable backend infrastructure for real-time data processing and analysis using Golang/rust Build and optimize low-latency data pipelines that can handle large volumes of data in real-time Develop and implement … algorithms and data structures for efficient data storage and retrieval Collaborate with data scientists and traders to integrate machine learning models and trading strategies into the backend infrastructure Ensure data privacy, security, and regulatory compliance Monitor and analyze system performance to identify potential issues and optimize overall performance Work with cross-functional teams to troubleshoot and … resolve technical issues Contribute to the development of technical documentation and training materials Requirements: Bachelor's degree in Computer Science or related field 3+ years of experience in software development with Golang/Rust/Python Strong understanding of data structures, algorithms, and design patterns Experience working with quant trading or crypto data is highly desirable Solid More ❯

and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. 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 to the organization's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and … experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory More ❯

and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. 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 to the organization's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and … experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory More ❯

services client, currently building a new advanced analytics capability to support workforce planning and strategic decision-making. This role will play a critical part in shaping how leadership uses data to drive future workforce strategy. This is a high-visibility contract, working directly with senior stakeholders in investment banking. The successful candidate will not only design and deliver decision … business decisions. The Role You’ll be responsible for building analytics and predictive models that answer strategic workforce. Key activities include: Descriptive analytics, understanding internal HR and desk occupancy data, validating structure, quality and scope. Predictive analytics, forecasting attrition, hiring needs and workforce changes. Simulation modelling, running ‘what if’ scenarios to model the impact of leadership decisions. Stakeholder engagement … decision modelling. Technical skills : Must-have: Python, R, SQL (advanced) Preferred: Snowflake Mindset : Trusted advisor who ensures models are not just built, but embedded and understood. Education : Degree in data science/analytics (preferred). 📩 Interested? Drop me a message or send your CV. More ❯

services client, currently building a new advanced analytics capability to support workforce planning and strategic decision-making. This role will play a critical part in shaping how leadership uses data to drive future workforce strategy. This is a high-visibility contract, working directly with senior stakeholders in investment banking. The successful candidate will not only design and deliver decision … business decisions. The Role You’ll be responsible for building analytics and predictive models that answer strategic workforce. Key activities include: Descriptive analytics, understanding internal HR and desk occupancy data, validating structure, quality and scope. Predictive analytics, forecasting attrition, hiring needs and workforce changes. Simulation modelling, running ‘what if’ scenarios to model the impact of leadership decisions. Stakeholder engagement … decision modelling. Technical skills : Must-have: Python, R, SQL (advanced) Preferred: Snowflake Mindset : Trusted advisor who ensures models are not just built, but embedded and understood. Education : Degree in data science/analytics (preferred). 📩 Interested? Drop me a message or send your CV. More ❯

services client, currently building a new advanced analytics capability to support workforce planning and strategic decision-making. This role will play a critical part in shaping how leadership uses data to drive future workforce strategy. This is a high-visibility contract, working directly with senior stakeholders in investment banking. The successful candidate will not only design and deliver decision … business decisions. The Role You’ll be responsible for building analytics and predictive models that answer strategic workforce. Key activities include: Descriptive analytics, understanding internal HR and desk occupancy data, validating structure, quality and scope. Predictive analytics, forecasting attrition, hiring needs and workforce changes. Simulation modelling, running ‘what if’ scenarios to model the impact of leadership decisions. Stakeholder engagement … decision modelling. Technical skills : Must-have: Python, R, SQL (advanced) Preferred: Snowflake Mindset : Trusted advisor who ensures models are not just built, but embedded and understood. Education : Degree in data science/analytics (preferred). 📩 Interested? Drop me a message or send your CV. More ❯