1 to 25 of 91 Machine Learning Jobs in County Antrim

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc. Proven ability to learn new technologies, including open source and cloud-native offerings Knowledge of AI and ML tools is a plus Google Associate Cloud Engineer or Data Engineer certification is a plus Responsibilities: Automate provisioning of infrastructure as code, using tools such as Terraform and KCC Build More ❯

a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in developing and implementing cutting-edge AI and machine learning models to extract valuable insights from large datasets. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the development of … innovative solutions. Responsibilities: Data Modeling and Evaluation: Utilize advanced statistical and machine learning techniques, including Gen AI technologies, to analyze and interpret complex datasets.Evaluate model performance and iterate on models to improve accuracy and efficiency, especially in the context of Gen AI technologies. Data Processing : Analyze large, complex datasets to identify trends, patterns, and insights relevant to financial … experts, to integrate AI models, particularly Gen AI models, into applications and systems.Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner. Continuous Learning: Stay abreast of the latest advancements in data science, machine learning, AI and financial technologies to bring innovative solutions to the organization.Contribute to the organization's innovation More ❯

delivery of cloud-based data solutions for our clients leveraging Databricks. The Practice Lead will collaborate with internal teams and clients to design, implement, and optimize big data and machine learning workflows, driving value through scalable and efficient data architectures. The ideal candidate has a deep understanding of cloud-based data processing, particularly within a Databricks environment, and … expand the client base. 2. Team Management & Development Build, mentor, and manage a team of data engineers and consultants within the Databricks practice. Foster a culture of innovation, continuous learning, and knowledge sharing within the team. Develop training programs and professional development opportunities to ensure team members are skilled in the latest technologies and best practices. 3. Project Delivery … tuning, cost optimisation, and security management. Develop reusable frameworks, assets, and accelerators to improve delivery efficiency and consistency across projects. Advocate for the adoption of advanced analytics, AI, and machine learning capabilities within Databricks to drive additional business value. Qualifications Key Qualifications Strong experience in data engineering, data architecture, or big data analytics. Proven experience designing and deploying More ❯

KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark. Location: Belfast, as part of our hybrid working model. Grade: Senior Consultant Contract type: Permanent Are you our … teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have a growth mindset and want to be part of a team that is innovative, yet confident in high quality delivery. Preferred Technical … analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise More ❯

KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark. Location: Belfast, as part of our hybrid working model. Grade: Consultant Contract type: Permanent Are you our next … teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have a growth mindset and want to be part of a team that is innovative, yet confident in high quality delivery. Preferred Technical … analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise More ❯

data-related requirements, contributing to strategic planning and execution. Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms. Lead development activities, mentor team members and share your knowledge in a context of continuous improvement. Continuously enhance the quality of our tools and applications through More ❯

team in Belfast. You will play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role 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 Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay's leading role in the early wage access industry. As a staff MLOps Engineer, you … efficient and effective deployment and management of machine learning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and optimize our AWS cloud infrastructure More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

role The QA Engineer plays a key role within the Napier Engineering group. You will be responsible for building, maintaining, and executing quality-assured automation scripts using modern AI, Machine Learning, and web-based tools. You will investigate root causes of functional issues, and then adjust and improve test cases based on the findings. You will work with … standards and improvements supporting Napier's goals. Your creativity and ideas will be encouraged and supported-your input matters! Key accountabilities: Develop and execute quality-assured automation scripts using machine learning, web, and API-based automation tools Collaborate with developers to build and execute test cases for new or updated product features Participate in daily scrum calls, provide More ❯

infrastructure that is critical to the environment, economy and everyday living. We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based. About the role: Working as part of a development and delivery team, designing, developing, implementing, testing, maintaining, supporting and More ❯

highly resilient systems. Leads and supports both product and technical discussions about how to apply existing and/or new technology in support of the business. Leverage AI/ML technologies in bringing productivity across the SDLC phases and develop innovative business solutions and products. In addition to the technical skill set and passion for learning new technologies, the More ❯

highly resilient systems. Leads and supports both product and technical discussions about how to apply existing and/or new technology in support of the business. Leverage AI/ML technologies in bringing productivity across the SDLC phases and develop innovative business solutions and products. In addition to the technical skill set and passion for learning new technologies, the More ❯

insights to water networks and assets through SAAS and cloud-based services. We are expanding our team to improve our existing products and develop new modules. About the role: ML-driven features in our core wastewater network platform focusing on predicting sewer behaviour. You will work within the Data & Modelling team with a focus on improving our existing ML processes … water utilities to predict and prevent real-time events, reducing harm to the environment. This is a pragmatic and delivery-focused role in the use of data, analytics, and ML to deliver predictive outcomes for StormHarvester customers as part of our product. This will involve working with customer data, understanding and appreciating the underlying domain, carrying out analysis, and integrating … and provide feedback as needed to other teams on areas for improvements and updates. Passionate about work, output and quality. Curious and willing to onward develop and learn in ML/AI area. Desirable Criteria Benefits: Familiarity with MLOps principles Familiarity with Geospatial (GIS) data Familiarity and experience with agile development in delivery Experience in Automation/Testing frameworks Experience More ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, belfast col-narrow-left Client: WMtech Location: belfast, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: AI Tech … Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a cutting-edge AI platform designed to drive real-world behaviour change and … build both product and team in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for core systems, focusing on scalability More ❯

Guide strategic customers in adopting Databricks Lakehouse as a unified data platform for structured and unstructured market data. Enhance and grow your knowledge among subject matter experts in our learning and development ecosystem. Qualifications Proficient in data engineering, data platforms, and analytics. Deep experience with Python, SQL, and/or Scala. Knowledge of two or more common Cloud ecosystems … technical project delivery, managing scope and timelines. Able to communicate complex technical concepts to business stakeholders. Adaptable to evolving technologies and projects. At least one Databricks Certification, Data or ML Engineering. What we offer: Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance. Professional development – we offer extensive training, ranging from leadership More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

of our core Engineering teams, building our powerful, flexible financial crime detection engine that is used by top Financial Institutions globally to quickly and easily apply predefined scenarios or Machine Learning algorithms to customer, and transaction data. In this role, you (Back-end Engineer) will be responsible for building high-quality features in alignment with Napier's overall More ❯

Google family of APIs Experience in the UK insurance sector Experience withPandas/SciKit-Learnor similar libraries Experience in statistical analysis methods Experience withLightGBM,XGBoost,CatBoostor similar python-focused ML libraries Personal Attributes: Good interpersonal?and influencing?skills Attentive?to detail - getting it right first time Self-motivated,able to use initiative and think creatively Organised approach to work Ability … pension and opportunity forannual pension review health cashback plan hybrid working arrangements annual travel card loan additionalservice-related holidays optionto buyadditionalholidays cycle to work scheme full access to online learning system wide-ranging discount reward schemes recognition bonuses Location-The companyoperatesa hybrid working policy, where employees can work both from home and from ouroffice atAmelia Street, Belfast BT2 7GS. More ❯

and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real … computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced … solutions Own critical platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation More ❯

and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real … computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced … solutions Own critical platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation More ❯

analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Create data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights. Collaborate with … Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, programming (Python, R, Scala). Experience with SQL, NoSQL, data visualization … and statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Familiarity with big data tools like Hadoop, Spark, Kafka. Knowledge of AWS ML services such as SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is More ❯

This role requires both strategic thinking and hands-on leadership. You will be accountable for engineering execution, people development, architectural decisions, and the integration of cutting-edge AI/ML technologies. You'll collaborate with product, design, and go-to-market teams to ensure alignment, delivery, and scalability. Why Join Us? You'll be part of a team building a … performance, and scalability. Train and coach developers in new tools, frameworks, and engineering best practices. Drive engineering excellence across testing, documentation, code reviews, and Agile/Scrum adherence. AI & ML Strategy Lead the implementation of AI/ML solutions and workflows across the product delivery team. Drive adoption of AI capabilities into core product features and go-to-market use … cases. Partner with product leaders to prioritize and implement machine learning models. Ensure AI/ML systems are robust, explainable, and ethical. Who Are You? You are proficient in: Leading diverse, distributed engineering teams. Mentoring developers at all stages of their careers. Communicating technical information clearly to non-technical stakeholders. Aligning engineering practices with Agile/Scrum methodologies. More ❯

practising Agile. You will be contributing to real decisions about technology to create maintainable solutions for our customers and participating in a highly collaborative group of software engineering professionals. Learning, developing your skills further and continuously improving will be part of your role. You will develop software to meet our client's user needs using Python, follow best practice … will have a strong background in AWS architecture and a passion for emerging technologies, particularly in AI and machine learning. You will have experience working with AI/ML frameworks or a keen interest in the field, along with the ability to quickly learn and deploy AWS services. In addition to Python, you will contribute to the React frontend … Qualifications Experience of working in a Scrum Team and an Agile environment Strong software engineering background covering SOLID principles with extensive experience in Python Experience working with AI/ML frameworks or a strong interest in AI/ML is required. Experience developing REST-based APIs Knowledge and some experience with DevOps and CI/CD tools (such as Jenkins More ❯

challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing risk, and … Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools … balance. Specifically, we have adopted a hybrid and in-office working culture, meaning you have ultimate flexibility in your work environment. Grow yourself, your career and reputation through continuous learning, promotion opportunities and our generous recognition programme. If you're ready to take on impactful challenges alongside a skilled and supportive team, apply today and help us unlock the More ❯