76 to 100 of 129 Remote Apache Airflow Jobs

unsupervised, and reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring. Business Acumen: Ability … to understand marketing and advertising concepts like customer lifetime value (CLV), attribution modeling, real-time bidding (RTB), and audience targeting. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last but not least More ❯

Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms: AWS SageMaker, Azure ML, Google Vertex AI APIs & Orchestration: OpenAI API, Anthropic Claude, Weaviate, FastAPI (for AI applications) MLOps & Experimentation More ❯

especially in areas like compliance, payments, or SaaS metrics. Exposure to statistical analysis or experimentation (A/B testing, cohort analysis, etc.). Familiarity with data pipeline tools (e.g., Airflow) and modern data stack concepts. Why join us Unique opportunity . Be part of a company with direct access to tens of thousands of new businesses in the UK. More ❯

especially in areas like compliance, payments, or SaaS metrics. Exposure to statistical analysis or experimentation (A/B testing, cohort analysis, etc.). Familiarity with data pipeline tools (e.g., Airflow) and modern data stack concepts. Why join us Unique opportunity . Be part of a company with direct access to tens of thousands of new businesses in the UK. More ❯

similarly complex operational businesses Experience using LLMs or AI tools to structure and extract meaning from unstructured data Experience automating workflows and deploying model pipelines (e.g. MLFlow, GCP Vertex, Airflow, dbt or similar) Exposure to business planning, pricing, or commercial decision-making Familiarity with geospatial data Experience in fast-scaling startups or operational teams We're flexible on experience More ❯

.NET framework backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to engineer for: End-to-end data migration More ❯

and Databricks AWS services (e.g. IAM, S3, Redis, ECS) Shell scripting and related developer tooling CI/CD tools and best practices Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from More ❯

algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and selection for business-critical use cases Strong hands-on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow) Proven capability in MLOps, including CI/CD pipelines, model monitoring, versioning, and automated retraining Experience deploying and serving models through APIs (e.g., Flask, FastAPI) in both real-time More ❯

scientists Ability to clearly communicate technical ideas through writing, visualisations, or presentations Strong organisational skills with experience in balancing multiple projects Familiarity with Posit Connect, workflow orchestration tools (e.g., Airflow), AWS services (e.g., SageMaker, Redshift), or distributed computing tools (e.g., Spark, Kafka) Experience in a media or newsroom environment Agile team experience Advanced degree in Maths, Statistics, or a More ❯

Spring Boot, Python/FastAPI - Frontend: TypeScript, React, Next.js . Headless CMS, Design systems. - CI/CD: ArgoCD, GitHub Actions - Infrastructure: GCP, Kubernetes, Terraform, Grafana - Data: Postgres, dbt, BigQuery, Airflow, Hex What You'll Be Doing Igniting Potential: Lead, mentor, and empower a high-performing team of 3-6 engineers, focusing relentlessly on outcomes that wow our members , not More ❯

AI agents Understanding of Large Language Models (LLMs) and intelligent automation workflows Experience building high-availability, scalable systems using microservices or event-driven architecture Knowledge of orchestration tools like Apache Airflow , Kubernetes , or serverless frameworks Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field Experience working in Agile/Scrum environments Strong problem-solving skills and More ❯

e.g., Archimate), and cloud platforms (AWS, Azure) Hands-on experience with DevSecOps tooling, automation platforms (Power Platform, UiPath), and secure software development practices Familiarity with data integration pipelines (Kafka, Apache Airflow), API management, and scripting (Python) Strong understanding of software design patterns including microservices, cloud-native, and OO design Eligible and willing to undergo high-level security clearance More ❯

e.g., Archimate), and cloud platforms (AWS, Azure) Hands-on experience with DevSecOps tooling, automation platforms (Power Platform, UiPath), and secure software development practices Familiarity with data integration pipelines (Kafka, Apache Airflow), API management, and scripting (Python) Strong understanding of software design patterns including microservices, cloud-native, and OO design Eligible and willing to undergo high-level security clearance More ❯

features. Rapid Prototyping: Create interactive AI demos and proofs-of-concept with Streamlit, Gradio, or Next.js for stakeholder feedback; MLOps & Deployment: Implement CI/CD pipelines (e.g., GitLab Actions, Apache Airflow), experiment tracking (MLflow), and model monitoring for reliable production workflows; Cross-Functional Collaboration: Participate in code reviews, architectural discussions, and sprint planning to deliver features end-to More ❯

knowledge. A key part of your role will be setting up monitoring and alerting across the platform. Experience Required: Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting Access management using Azure Active Directory (Entra ID) Proven experience setting up monitoring More ❯

knowledge. A key part of your role will be setting up monitoring and alerting across the platform. Experience Required: Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting Access management using Azure Active Directory (Entra ID) Proven experience setting up monitoring More ❯

cloud-native environment. Strong understanding of programmatic advertising, attribution modelling, campaign measurement, and media mix optimisation. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. If you are interested in this opportunity, please apply More ❯

in data modelling and datawarehousing solutions. Experienceof dimensional modelling (Kimball). Proven Experience in designing and developing ETL/ELT processes. Knowledge of data pipeline toolssuch as Data Factory, Airflow, andNiFi. Knowledge of version controlsystems such as Git. Ability to analyse problems anddesign better solutions. A familiarity with agile projectmanagement processes such asScrum Desirable requirements: Formal Data & Analyticsqualification e.g. More ❯

to our bespoke data pipeline and associated API services. Key Requirements 5+ years of Python experience with frameworks like Flask, FastAPI, and Django. Strong command orchestration tools (e.g. Prefect, Airflow), Docker, and AWS infrastructure (CDK, Terraform). Solid understanding of API services, authentication methods (JWT, SSO), and clear, pragmatic communication skills. Maintain, upgrade, and improve existing systems and custom More ❯

centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return More ❯

tracking) Desirable Skills & Interests LangChain, Langflow, or similar frameworks for building AI agents LLMs or intelligent automation workflows High-availability, scalable systems (microservices, event- based architectures) Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless frameworks You will be an enthusiastic Python Developer and a great communicator. The successful Python Developer should have strong problem-solving abilities, organisational skills More ❯

tracking) Desirable Skills & Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent automation workflows * High-availability, scalable systems (microservices, event- based architectures) * Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless frameworks You will be an enthusiastic Python Developer and a great communicator. The successful Python Developer should have strong problem-solving abilities, organisational skills More ❯

tracking)Desirable Skills & Interests* LangChain, Langflow, or similar frameworks for building AI agents* LLMs or intelligent automation workflows* High-availability, scalable systems (microservices, event-based architectures)* Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless frameworksYou will be an enthusiastic Python Developer and a great communicator. The successful Python Developer should have strong problem-solving abilities, organisational skills and More ❯

with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary teams. The successful candidate will also need to be SC Vetted. More ❯

with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary teams. The successful candidate will also need to be SC Vetted. If you are interested in this position More ❯