Browse Data & ML Jobs
Search 228 curated tech job listings scraped in real-time from LinkedIn, Glassdoor, RemoteOK, and more. Filter by role, location, seniority, and source to find your next opportunity.
228 jobs found for "DevOps Engineering"
Page 1 of 12
Machine Learning Engineer
…directly with customers. You don’t necessarily need “MLOps Engineer” written on your current job title. You could come from ML Engineering, DevOps, Data Engineering or a similar background, provided … years . Unfortunately, that bit isn’t negotiable either. If you’re an ML Engineer, MLOps Engineer or DevOps-minded engineer who wants to spend more of your time building actual AI systems…
Data & ML Engineer - Newcastle
…Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute … Python, SQL, Spark, Scala Machine Learning, NLP, Deep Learning, Prompt engineering, Agentic AI Data Architecture, Data Modelling, Data Engineering, Data Analysis DevOps & Engineering CI/CD and MLOps (Azure DevOps, GitHub actions, Jenkins, Kubeflow…
Technology Specialist - Data Ops
…Skills Ability to collaborate equally well with data engineers engineers and data analysts. Ability to collaborate and influence Onshore and Offshore supplier engineering build teams Excellent communication skills - can translate complex technical … personalization. Experience building and tuning scalable feature engineering pipelines inside Google Cloud Dataflow Google Cloud certifications (e.g., Professional Machine Learning Engineer or Professional Cloud DevOps Engineer). Familiarity with Kubernetes and Google Kubernetes…
Technology Analyst
…play, insights–driven interactions and ubiquitous automation. We are looking for an experienced AWS Infrastructure & DevOps Engineer to support and manage the Finacle platform on AWS. The role involves cloud infrastructure management … Finacle or Banking platforms. Knowledge of Istio or Service Mesh technologies. AWS Certifications (Solutions Architect / DevOps Engineer). Experience in Banking, Financial Services, or FinTech environments. Benefits Along with competitive…
Principal Data Engineer
…business reporting Implement Slowly Changing Dimension (SCD) strategies appropriate to each domain Own master data engineering: golden record patterns, source-of-record authority, cross-system identity resolution Establish and enforce data modeling … procedures Azure DevOps: Git-based development workflows, CI/CD for data pipelines ·       Demonstrated use of AI coding assistants in a production engineering workflow…
DevSecOps AI - Hong Kong
…journey to become the best insurance A.I. shop in the world. Calling all DevOps, DecSecOps and Cloud Engineers in the Data and AI world! We have a fantastic opportunity to join … Table Bachelor’s degree in computer science, computer engineering or equivalent experience5 to 5 years of experience related experience in cloud engineering, DevOps, DevSecOps. 2-3 years hands-on experience of managing…
Python Software Engineer — AI/ML Integration & AI Agents
…with models, tensors, model inputs/outputs, preprocessing pipelines, and inference APIs Ability to collaborate with ML Engineers to move models from experiments into production environments AI Agents Experience with AI agents … familiarity with embedded development environments is beneficial. DevOps — Basic Knowledge Expected We do not expect the candidate to be a dedicated DevOps Engineer, but basic practical DevOps experience is desirable. Examples include…
AI Engineer
…cloud and AI platform roadmap Review code and establish best practices for AI platform engineering and DevOps Support the organisation's commitment to APRA's regulatory framework, contributing to robust risk management … platforms, data pipelines, or large language models (highly regarded) Genuine passion for cloud engineering, DevOps, automation, and AI-enabled systems Resilience and adaptability in complex, fast-changing environments Location Toowong - Close…
Technical Product Marketer - K0rdent AI
…cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines — into audience-specific narratives for practitioners, platform engineers, and C-suite buyers. Own the competitive intelligence function: track competitors including Red Hat OpenShift … with Kubernetes, MLflow, Kubeflow, Ray, or similar infrastructure tooling. Background in or exposure to AI/ML engineering, DevOps, or platform engineering. Prior experience in or familiarity with companies like RunPod, SpectroCloud, Rafay, Anyscale…
Python Data Engineer with PySpark and Pytest
…technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development … Spark-job performance. Troubleshoot data, application, and production issues. Collaborate with data scientists, software engineers, QA, and DevOps teams. Participate in code reviews, Agile ceremonies, and CI/CD activities. Requirements: Experience in Python…
Data Scientist
…Scientist, you'll join a growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning … including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely with Engineering and Product teams in a collaborative Agile environment, turning complex data and technology into solutions that…
Data Scientist
…classification level. What will you do? The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range…
Data Scientist
…classification level. What will you do? The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range…
Applied AI Engineer New
…stably in the long term. You step in when complex AI use cases require real engineering work and changes to the companies cloud infrastructure. What You Will Work On Design and deploy … Looking For Required At least 2 years of professional experience in a DevOps, backend engineering, or platform engineering role Python fluency : you write clean, maintainable code and are comfortable owning a codebase…
AI Field Engineer
…stably in the long term. You step in when complex AI use cases require real engineering work and changes to the companies cloud infrastructure. What You Will Work On Design and deploy … Looking For Required At least 2 years of professional experience in a DevOps, backend engineering, or platform engineering role Python fluency : you write clean, maintainable code and are comfortable owning a codebase…
Senior AI Engineer
…consume APIs and contribute to cloud-based, scalable backend architectures. Collaborate with product managers, engineers, data scientists, DevOps, security, and business stakeholders to deliver practical AI solutions. Write clean, maintainable, testable … safe handling of sensitive data. Experience working in cross-functional teams with engineers, product managers, data scientists, DevOps, security, and business stakeholders. Strong problem-solving skills and ability to turn AI prototypes…
Data Engineer - Newcastle
…Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC – Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please … Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure‑as‑Code (Terraform preferred…
Senior Software Architect (C# / AI First) - GovTech SaaS company
…part of an AI-first engineering culture, you will actively leverage AI-assisted development tools, reusable workflows, and agentic approaches to streamline development, automate engineering tasks, and improve delivery velocity across teams … engineering standards across multiple products and teams. Lead the adoption of microservices, domain-driven design (DDD), CQRS, event-driven systems, and API-first approaches . Partner with Product, Engineering, DevOps, and fellow Architects…