1 to 25 of 29 Machine Learning Jobs in Newport

growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring … data pipelines to implementing and validating ML models, you'll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

predictions, abstracting away the complex engineering to speed up innovation. Tecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner … successfully implement Tecton deployments and build features, in both an advisory and/or hands-on fashion, to enable their high-impact AI/ML use-cases. Responsibilities Collaborate with the Delivery/Engagement Managers, pre-sales, and Account team to understand customer needs and business requirements/objectives Design ...

Robotics Engineer, you will have the opportunity to design and implement advanced perception systems, combining robotics fundamentals with ground breaking machine learning (ML), artificial intelligence (AI), and computer vision techniques. This role offers an inspiring work environment where your expertise will contribute to ground breaking advancements … systems, focusing on object detection, tracking, and classification. Develop and optimise sensor fusion techniques, integrating data from cameras, LiDAR, radar, and IMU sensors. Create ML/AI models for scene understanding, semantic segmentation, and obstacle detection to enhance robotic decision-making. Integrate autonomous navigation solutions using the ROS2 Navigation Stack ...

investigation workflows, and threat analysis. Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end. Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent … platform infrastructure. Use Cynet's ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models. Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions. Requirements: 5+ years of hands-on cybersecurity research experience. Proven ...

unstructured data. Define and implement a unified data and metrics framework to ensure consistent definitions and understanding of KPIs across the organization. Data/ML Operations: Establish and lead the design of CI/CD processes and tooling for data pipelines, enabling scalable, automated, and high-quality delivery across environments. … Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints. Experience building the infrastructure that facilitates deployment and production tuning of ML models and AI systems (including LLMs). GCP Professional Data Engineer or Professional Machine Learning Engineer certifications. Why join us? Become part ...

least three years of professional software engineering experience, data science or related Has at least two years of hands on experience building machine learning/LLM based features in a live product used by real users Has strong full stack skills, for example TypeScript and Node, Python ...

technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI. Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft ...

they impact AI governance and data handling. Cloud Technologies & AI Capabilities: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings, understanding how these support AI development and deployment. Risk Mitigation & Tracking: Ability to develop and monitor risk mitigation plans, report on progress, and ensure ...

looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job benefits Support in applying ...

with a solid grounding in mathematics Experience of programming, with C or C++ of particular interest Skills in algorithmic understanding Experience in AI and machine learning will prove useful Experience of Agile development would also be an advantage One Last Thing OpenText is more than just a corporation ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

everyone. Including you. What you'll need Relevant experience in model risk, AI governance, compliance, or technology risk. A proven understanding of AI/ML and GenAI risks across different lifecycle stages (e.g. data use, model outputs, integration, monitoring). Strong communication skills with the ability to engage cross-functional ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

Empathy and people skills Desirable experience Working at a technology consultancy Pair programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Infrastructure-as-Code (e.g. Terraform, Cloud Formation) Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within … groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience ...

technical specifications. Collaborate with engineering on architectural decisions in a microservices-based environment. Ensure products are designed for interoperability, scalability, and AI/ML readiness. Standards & Compliance Champion industry standards (e.g., Allotrope Simple Model) and FAIR data principles. Align product design with GxP, ALCOA+, 21 CFR Part 11, and enterprise ...

Responsibilities Develop deliverables addressing common requests in your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in machine learning systems. Work independently and asynchronously to meet deadlines. Contribute expertise to cutting-edge AI research. Qualifications Must-Have 4+ years professional experience ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate to improve AI model performance ...

Role Overview Mercor is partnering with a top AI research lab on an exciting project pushing the limits of multimodal machine learning — technology that helps AI understand both visuals and sound. We're looking for detail-oriented freelance contributors to review and compare short video and audio clips. ...

common requests in your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

common requests in your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

common requests in your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate with AI labs to enhance research ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate with AI labs to enhance research ...