26 to 50 of 54 Dagster Jobs in London

datasets. Knowledge of healthcare coding systems and standards such as SNOMED CT, ICD, or READ codes. Experience with Databricks. Experience with Kubernetes. Experience using Dagster or other workflow orchestration platforms. SQL and data modelling experience. Understanding of metadata management and data governance frameworks. Many Data Engineering roles focus primarily ...

scale: incremental versus full refresh, clustering, and a lag target a consumer needs. Orchestration. You have scheduled, monitored, and repaired a pipeline in Airflow, Dagster, or an equivalent. CI/CD and deployment management. You have run a project where a pull request builds the changed models and their ...

that brings together data from our e-commerce, manufacturing, fulfilment, and finance systems. We build on a modern, warehouse-native stack — Snowflake, dbt, and Dagster — and we're working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self-service tools ...

platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure ...

related role. Strong programming skills and production experience in Python. Experience building and maintaining data or ML pipelines with an orchestration tool such as Dagster (or Airflow, Prefect, etc.). Hands-on experience with common ML libraries and frameworks, e.g. PyTorch, scikit-learn, and gradient-boosting libraries such ...

experimental scientists, optimisation experts and engineers alike. Bonus Points Experimental lab experience in materials science, chemistry or chemical engineering. Experience with workflow orchestration (e.g. Dagster, Flyte, Prefect) or active learning loops. Experience with infrastructure as code (e.g. Terraform) and observability tooling. Security or compliance experience or handling partner ...

Multi threading Profiling Python/C/C++ and performance optimisation Networking Nice to have: Data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit ...

deployment experience. Experience building self‐serve ML platforms or tools for non‐expert users. Experience with lakeFS , DVC , MLflow , Weights & Biases , Kubernetes, Kubeflow, Flyte, Dagster, Airflow, or Argo. LLM application, context engineering, structured output, or LLM evaluation experience. Exposure to radar, AIS, EO/IR fusion, tracking, sensor fusion ...

internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend fundamentals including API design, async programming, and database modelling You've built systems that ...

/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer ...

will work with editors, product managers, and engineers, writing Python, managing LLM workloads, and designing scalable, cost-aware data pipelines using Airflow and Dagster in a fast-changing market. #J-18808-Ljbffr ...

relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. What the role offers: £80,000 DOE, negotiable Predominantly remote/hybrid working London office Full-time permanent position Excellent ...

lading or vessel tracking; agent-based modelling; Databricks and MLflow or equivalent; a Master's or PhD in a quantitative field. Stack: Python, Postgres, Dagster, AWS. A signal, never a requirement. #J-18808-Ljbffr ...

yourself; Databricks and MLflow or equivalent; a Master's or PhD in chemical, process or materials engineering or polymer science. Stack: Python, FastAPI, Postgres, Dagster, AWS. A signal, never a requirement. The take-home: we send you a small transformation model with one physical error in it. Find ...

PyTorch, JAX, or MLX. Experience with biological data: genomic sequences, protein structures, molecular data, or similar. Familiarity with our broader tech stack: Kubernetes, Dagster, or similar orchestration and infrastructure tools. Publications at major venues (e.g., NeurIPS, ICML, ICLR, or JMLR). What we offer in return Impactful Mission: This ...

build on shared infrastructure rather than creating one‐off tooling. Practical experience applying LLM and agentic tooling to engineering problems. Our stack: Flink, Doris, Dagster and Spark, plus OpenMetadata (or an equivalent such as Apache Atlas). Experience with comparable tools is just as relevant. Check out these videos ...

Data Scientists Design, build and maintain reproducible data pipelines that combine imaging biomarkers and clinical data, building on the Data Engineering team’s existing Dagster study pipelines, analytics workflow libraries and Qureight platform Build and test pipelines against dummy or interim data before database lock, and deliver CDISC formats … production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including statistical modelling and machine learning and of how clinical trial ...

work; price forecasting; a quantitative Master's or PhD. Experience only in liquid financial instruments is unlikely to be enough. Stack: Python, FastAPI, Postgres, Dagster, AWS. A signal, never a requirement. The take-home: estimate the fair delivered price of a named polymer grade between two regions, with ...

signals: production LLM or agent systems; evals; data-intensive or scientific software; data science; supply-chain, commodities or manufacturing exposure. Stack: Python, FastAPI, Postgres, Dagster, AWS; LangGraph, MCP, Pydantic AI; Next.js and TypeScript. A signal, never a requirement. The take-home: a short task shaped like the real work ...

Trase; more than one commodity system; production software experience; a Master's or PhD in a relevant field. Stack: Python, FastAPI, Postgres, Dagster, AWS. A signal, never a requirement. #J-18808-Ljbffr ...

function-calling work; retrieval beyond tutorials; applied AI where wrong answers have consequences; supply-chain, commodities or manufacturing exposure. Stack: Python, FastAPI, Postgres, Dagster, AWS; LangGraph, MCP, Pydantic AI; Next.js and TypeScript. A signal, never a requirement. The take-home: a short task shaped like the real work ...

work with designers; early-engineer experience; data-heavy interfaces such as large tables, charts and maps. Stack: Next.js, TypeScript, MUI, Mapbox; Python, FastAPI, Postgres, Dagster, AWS; LangGraph, MCP, Pydantic AI. A signal, never a requirement. The take-home: given a customer question and the tool results behind it, design ...

description. Nice to Have Experience with biological data: genomic sequences, protein structures, molecular data, or similar. Familiarity with our broader tech stack: Kubernetes, Dagster, or similar orchestration and infrastructure tools. Contributions to open-source ML frameworks or research codebases. Publications at major venues (e.g., NeurIPS, ICML, ICLR, or JMLR ...

procurement lead through what you built without a translator. Nice signals: able to cover US customers as they come online. Stack: Python, FastAPI, Postgres, Dagster, AWS; LangGraph, MCP, Pydantic AI. A signal, never a requirement. The take-home: map a messy ERP-style extract to a canonical model, document ...

what. Better Collective runs a hub and spoke data organisation. A central data platform team owns the platform itself - MotherDuck, dbt, Dagster, DLT, the golden paths, the standards, the infrastructure. Paid Media Insights is a domain team, a spoke, that builds on it. The split is deliberate … think in tables. You are technically deep where it counts. Production pipelines in SQL and Python, modelling and orchestration tooling such as dbt and Dagster, cloud data warehousing, and a real feel for performance, cost and reliability at scale. Experience with paid media or attribution data, or with machine ...