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 DataScience … alerting systems for our ML infrastructure and models, leveraging tools like DataDog to ensure system health and performance Collaboration and Mentorship: Collaborate effectively with data scientists, engineers, and other stakeholders. Provide guidance and support to junior team members Performance Optimization: Continuously optimize ML model performance, data pipelines, and … infrastructure to meet evolving business needs Security and Compliance: Ensure the security and compliance of our machine learning applications and data pipelines, adhering to industry best practices and regulations Problem Solving and Troubleshooting: Proactively identify and resolve issues related to ML model performance, data integrity, and infrastructure What More ❯
Press Tab to Move to Skip to Content Link Location: Belfast Other locations: Primary Location Only Date: 4 Apr 2025 Requisition ID: Manager Data Engineer - Digital & Emerging Technologies - Technology Consulting - Belfast& Derry/Londonderry At EY, you'll have the chance to build a career as unique as you … of opportunity to spread your wings and develop your skill set to keep up with the ever-growing demands of the digital landscape. Our Data Services Group team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side … large recognised organisations. Your key responsibilities • Participate in presentations and proposals for medium complex projects or elements of highly complex projects • Logical and physical data modelling - Design, develop, and maintain data pipelines and models • Assists in data modelling and design reviews, striving for improved usability and efficiency More ❯
Enso Recruitment is working on behalf of a client in the technology sector to hire a Machine Learning Engineer with a strong background in data analytics. This role offers the chance to apply advanced ML techniques to real-world challenges within the utilities sector, delivering meaningful outcomes through predictive … analytics. The successful candidate will join a growing data and modelling team, contributing to a cloud-based platform used to monitor and forecast network performance. This is a role for someone who enjoys exploring complex datasets, designing scalable data processes, and integrating intelligent features into production systems. Key … Responsibilities: Work with time series and sensor data to develop predictive models Carry out exploratory data analysis and visualisation to uncover insights Collaborate with domain specialists to guide modelling strategies Lead integration of ML models into the main product, focusing on long-term maintainability Engage with customers to More ❯
Entry-level Start Date: ASAP Are you a recent graduate or early-career software engineer with a passion for artificial intelligence, machine learning, and datascience? Do you dream of building AI features that impact real users? Are you hungry to take ownership, experiment, and make a mark … fast-moving world of AI. Help shape our long-term AI roadmap and strategy. Who you are You recently completed a degree in Computer Science, Software Engineering, Machine Learning, DataScience, AI, or a related field. You've worked with ML frameworks like TensorFlow, PyTorch, Scikit-learn More ❯
mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong organizational, analytical, problem-solving, and communication skills Comfort working with remote … management with PostgreSQL Experience with ElasticSearch, observability tools like Grafana and Prometheus What this role can offer Opportunity to deepen understanding of AI and DataScience applications Mentorship and support from colleagues to apply your talents Career growth and development opportunities Knowledge of Financial Services AML and Compliance More ❯
We are working with a large public body to seek a highly skilled and motivated Data Analyst. The successful candidate will be responsible for the extraction, analysis, and presentation of data from complex databases and datasets. This role requires a strong analytical background and proficiency in using various … analysis and query tools in a practical work environment. Key Responsibilities Extract data from complex databases/datasets using analysis and query tools. Analyse, interpret, and present complex statistical information from a range of systems and sources. Utilize Microsoft Office suite programs (Word, Excel, PowerPoint, Access, Outlook, Teams) to … and present data. Communicate effectively both verbally and in writing. Plan and organize tasks efficiently to meet deadlines. Essential Criteria 4 years' experience in data extraction, analysis, and presentation from complex databases/datasets using analysis and query tools in a practical work environment. OR Diploma for Accounting Technicians More ❯
partner closely with leaders across the business to turn AI innovation into meaningful, secure customer outcomes. You'll lead a high-caliber team of Data Scientists, AI Engineers, MLOps Engineers, and Software Engineers, with a strong foundation already in place and ready to scale globally. The team is responsible … speed with quality, always maintaining a high bar for impact and reliability You will scale and manage a globally distributed team of top-tier Data Scientists, AI Engineers, MLOps Engineers and Software Engineers. You will help establish a culture of technical excellence, strategic thinking, and data-informed decision … making The skills you'll bring include: 10+ years of experience in datascience, machine learning, or AI, with at least 5 years in a leadership role Proven track record of building and leading high-performing, cross-functional AI or ML teams at scale Strong experience driving AI More ❯
