internships, or prior roles, with exposure to or hands on experience with Gen AI concepts and technologies. Familiarity with Cloud Computing Platforms (e.g., GCP, AWS). Basic understanding of MLOps lifecycle (e.g., Git, Docker, CI/CD). Flexibility to adapt to the changing demands of a fast-paced environment. Willingness to learn domain knowledge in financial services, insurance, and More ❯
with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. More ❯
and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow More ❯
and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow More ❯
with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. More ❯
with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. More ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
JR United Kingdom
Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯
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 of Continuous Integration/Development and Tooling Experience of More ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Data Intellect Limited
Join to apply for the Databricks Solutions Architect role at Data Intellect . Company Description Every question matters, every pathway, direction, thought process, and conversation. Because every challenge makes us stronger, more knowledgeable, more determined, and more valuable to our More ❯
for the company! About the Team As we spearhead a cultural shift to a data-driven business, Data Engineering serves as the Hub for all teams at Rapid7 from MLOps, to Sales and Operations to Platform and Engineering. Our team is a highly skilled yet egoless group of data magicians (and humorists) with a penchant for innovation and a knack More ❯
skills and a passion for innovation. Desirable Skills Experience with vector databases, prompt engineeringand fine-tuning LLMs. Exposure to multi-modal AI systems and agentic AI frameworks. Background in MLOps or AI model deployment on cloud platforms Supervisory Responsibilities: There are no supervisory duties. We are recruiting multiple roles and multiple levels . Ellen # LI - Hybrid Why join us More ❯
Londonderry, Northern Ireland, United Kingdom Hybrid / WFH Options
Peregrine
Experience of deployment in a cloud environment ??Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas ??Experience with API development ??SQL experience ??Software engineering experience ??DevOps/MLOps experience ??Good working understanding of CI/CD If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply to More ❯
ll 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 for production-level AI systems spanning a broad range of … balancing 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 … ML teams at scale Strong experience driving AI/ML product development from research through to production deployment Deep understanding of the AI/ML lifecycle, including model development, MLOps, experimentation, and monitoring Experience partnering closely with Product, Engineering, and executive leadership to shape strategy and influence outcomes Strong background in managing risk, prioritizing initiatives, and aligning technical work with More ❯
lead with impact 🧠 What you’ll bring: 8+ years in software/AI engineering, with 3+ focused on ML systems Python + JavaScript, Transformers, LangChain, vector DBs (e.g. Pinecone) MLOps, cloud AI (SageMaker, Bedrock), containerized environments (K8s, Docker) Experience building production AI systems that scale and handle sensitive data 🌍 The setup: Hybrid (Belfast office) with flexibility Collaborative, mission-driven team More ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
JR United Kingdom
AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with More ❯