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Senior MLOps Engineer
Build and scale ML infrastructure using Databricks, Spark, MLflow, and Unity Catalog to operationalize ML workflows for dynamic pricing and personalized experiences, including drift detection, automated training/retraining, CI/CD, and production monitoring.
Senior Backend Software Engineer
Senior Backend Software Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett
Senior Machine Learning Engineer, Foundational Models and Agentic systems
Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology. If you love having stretch goals, challenges, and making customers…
DevOps IA
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think…
Senior Data & ML Infrastructure Engineer (Xora Portfolio Company)
Builds and maintains the data and ML infrastructure pipelines for an AI-driven materials science platform, ensuring efficient data processing, model training, deployment, and monitoring across distributed environments.
Senior Devops Engineer
Senior DevOps engineer building and hardening AWS/Kubernetes platforms for AI-driven defence systems, automating secure CI/CD pipelines and ensuring high availability for mission-critical workloads.
Senior Software Developer (Python)
Build cloud-native Python services and data platforms that power AI-driven analytics, forecasting, and optimisation for Sky’s networks, using FastAPI/Flask/Django, GCP, Docker, and Kubernetes.
GCP Data & AI/MLOps Engineer
Build and maintain GCP data pipelines and AI/ML solutions using Dataflow, Apache Beam, BigQuery, Kubeflow, and Python for enterprise clients.
Software Developer Cloud and AI Native Platforms
Builds and operates cloud-native microservices and AI-native platforms (LLMs, RAG, agentic workflows) for Ericsson’s Service Orchestration and Assurance product, focusing on model serving, ML pipelines, and AI governance in multi-cloud environments.
Data Scientist
MLOps Engineer builds, deploys, and monitors ML models using Stratio, Python, Docker, Kubernetes, and cloud platforms, ensuring production reliability and performance.
Senior Data Scientist
Senior Data Scientist applies ML and AI techniques to defence and security projects, using Python, cloud platforms, and NLP to deliver innovative solutions and client-facing insights.
Senior Software Engineer (AI/ML) - Part-time | Remote
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and agent frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Architect AI & Data Science
Senior AI & Data Science Architect designing and deploying scalable, secure AI solutions for a leading bank, leading modernization and MLOps initiatives.
Senior Engineer - Data Science
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Engineer - Data Science
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Training Specialist, Sr. ( Data Scientist , Sr ) 3 PM - 12 AM Shift
Senior Learning Data Scientist building AI-driven analytics, predictive models, and dashboards to optimize training and certification programs using Python, TensorFlow, and Power BI.
Talent Community - MLOps Engineer
Build and maintain scalable ML pipelines and infrastructure for AI-driven projects using Docker, Kubernetes, and cloud platforms like AWS/GCP/Azure.
Senior Machine Learning Engineer
Designs, builds, and deploys production-grade ML systems (LLMs, pipelines, and automation tools) for a mid-market professional services firm’s AI-driven internal workflows, collaborating with data scientists, engineers, and stakeholders.
MLOps Engineer
Build and maintain the infrastructure and pipelines that deploy, monitor, and scale machine-learning models in production, using Docker, Kubernetes, and cloud ML platforms.
Senior AI Solution Architect
Designs and architects enterprise-scale AI solutions, integrating LLMs, RAG, and cloud AI platforms like Azure AI and AWS SageMaker into secure, scalable systems.