11 of 11 Dask Jobs in the UK

with exposure to: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines ...

Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large-scale data processing frameworks such as Spark or Dask Knowledge of data governance, compliance and regulated environments Experience delivering solutions within highly regulated industries such as government, finance or healthcare Security Clearance This role ...

Experience of working closely with researchers and portfolio managers Basic knowledge of statistical modelling in a financial context Experience with parallel & concurrent processing, e.g. Dask Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS) Equal Opportunity Workplace We are proud to be an equal opportunity workplace. ...

normalisation. Experience handling time-series challenges such as timestamp precision, sequence gaps, duplicate and out-of-order events. Experience with distributed processing (Spark, Polars, Dask, Ray or similar). Experience with Kafka or similar streaming technologies. Familiarity with PostgreSQL, ClickHouse, Snowflake, Databricks, kdb+ or similar. Docker, Linux ...

normalisation. Experience handling time-series challenges such as timestamp precision, sequence gaps, duplicate and out-of-order events. Experience with distributed processing (Spark, Polars, Dask, Ray or similar). Experience with Kafka or similar streaming technologies. Familiarity with PostgreSQL, ClickHouse, Snowflake, Databricks, kdb+ or similar. Docker, Linux ...

pgvector Docker, Kubernetes, ECS or containerised deployments Infrastructure as Code tools including Terraform or CloudFormation Large-scale data processing technologies such as Spark or Dask Experience working within regulated or highly secure environments Knowledge of data governance and compliance frameworks Apply for This Machine Learning Engineer Opportunity ...

Distributed UDF/Sproc, Time Travel, Cloning) Demonstratable experience of delivering end to end pipelines in Snowpark (transferable frameworks such as Pyspark, Polars or Dask are also welcome). DBT including Jinja templating or equivalent transformation frameworks Python including build tools, test automation frameworks and engineering best practices SQL (including ...

scientists, and engineers to create, share, and run code at scale. Our multidisciplinary team are delivering notebook experiences with Jupyter & VSCode, distributed compute with Dask/Spark, and the runtime building blocks that power model development, pricing, and risk analytics across the organization. You’ll help define the roadmap, ship ...

product stakeholders to align technical strategy with business goals and resolve blockers across the team. Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About You 5+ ...

Platform Engineer in London to design, develop and improve analytics-powered software for quants, data scientists, and engineers. You will work with Jupyter, VSCode, Dask/Spark, and deploy scalable code across the organization, partnering with users in Markets Front Office. You will have strong Python development and infrastructure experience ...

Senior Machine Learning Engineer ££75,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer Location: London (Hybrid) Salary: £75,000 + Bonus + Excellent Benefits Are you ...