world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … interpret data, and support data driven decision making. MachineLearning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability to work closely with cross-functional teams to develop, test, and deploy advanced machinelearning … Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience using ML modeling libraries like Scikit-Learn, Keras, Tensorflow, PyTorch and similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is More ❯
frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R&D concepts and exploratory analysis into production ready algorithms and reusable components. Build machinelearning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based … and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to the development of internal best practices, processes and documentation, to increase team effectiveness and reusability of work. Evaluate and select the most appropriate data mining models … or equivalent. Skilled in SQL. Experience working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machinelearning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc More ❯
frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R&D concepts and exploratory analysis into production ready algorithms and reusable components. Build machinelearning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based … and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to the development of internal best practices, processes and documentation, to increase team effectiveness and reusability of work. Evaluate and select the most appropriate data mining models … or equivalent. Skilled in SQL. Experience working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machinelearning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc More ❯
industrial experience.Evidence of:Software development skills in languages such as C, C++/Java/Python/R. Use of code configuration management toolsets.Applied knowledge of Artificial Intelligence and MachineLearning methodologies and tools, or of cybersecurity principles.Knowledge of one or more of the following:Artificial Intelligence and MachineLearning methodologies and tools.General cyber security principles.High More ❯
and technical expertise in theory and implementation of Digitised Manufacturing with experience using relevant software packages and associated manufacturing technologies.Specific knowledge and experience in related technical areas such as machine connectivity, enterprise systems, data visualisation and analysis, machinelearning and cyber security.Experience of collaborative working in multidisciplinary research and development teams To be successful at shortlisting stage More ❯
development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machinelearning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯
development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machinelearning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯
Belfast, County Antrim, United Kingdom Hybrid / WFH Options
development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machinelearning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯
Belfast, County Antrim, Northern Ireland, United Kingdom
McGregor Boyall Associates Limited
tools such as Teams Chat, WhatsApp for Business, Bloomberg, BT Turrets, Cloud 9, Mobile Voice . Solid understanding of regulatory requirements for communication surveillance. Desirable Experience with AI/ML in compliance contexts. Background in financial services project management . McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯
software delivery. Essential Skills and Experience : Experience building applications for the web across the whole stack Hands on production experience with building software powered by LLMs/GenAI/ML models. Expertise in modern JavaScript frameworks (React, Vue, Angular, etc.) or Blazor Experience building back end with C# .NET Solid understanding of HTML5, CSS3, and responsive design principles Experience building … Experience designing and implementing multi-agent AI architectures where multiple specialized models collaborate to solve complex problems Hands-on experience with vector databases Proficiency in Python for AI/ML development What Makes You a Great Fit Learning Mindset : You're excited to learn new frameworks tools and practices, particularly when it comes to AI. Systems Thinking : You understand More ❯
MCS Group | Your Specialist Recruitment Consultancy
a next-generation data platform that leverages proprietary data to deliver advanced insights and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. … You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker … Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data More ❯
MCS Group | Your Specialist Recruitment Consultancy
a next-generation data platform that leverages proprietary data to deliver advanced insights and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. … You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker … Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data More ❯
MCS Group | Your Specialist Recruitment Consultancy
a next-generation data platform that leverages proprietary data to deliver advanced insights and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. … You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker … Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data More ❯