19 of 19 Dask Jobs in the UK

in Bioinformatics, Computer Science, Data Engineering, or related field. 4+ years of experience in data engineering or bioinformatics data management. Strong Python and SQL skills; experience with Pandas, PySpark, Dask, or similar frameworks. Familiar with Linux, Docker, and modern data architectures (relational, object, non-relational). Experience with orchestration tools (Airflow/Prefect) and cloud platforms (AWS preferred). Proven More ❯

in Bioinformatics, Computer Science, Data Engineering, or related field. 4+ years of experience in data engineering or bioinformatics data management. Strong Python and SQL skills; experience with Pandas, PySpark, Dask, or similar frameworks. Familiar with Linux, Docker, and modern data architectures (relational, object, non-relational). Experience with orchestration tools (Airflow/Prefect) and cloud platforms (AWS preferred). Proven More ❯

Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in ML or quantitative finance Please apply within More ❯

adopting AI tooling. What Youll Bring 5+ years in software/ML engineering, ideally with production deployment experience. Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark. Proven experience setting up ML pipelines, integrating with AWS/Databricks, and applying CI/CD principles. Solid understanding of time-series forecasting and supervised ML models. More ❯

AI tooling. What You’ll Bring • 5+ years in software/ML engineering, ideally with production deployment experience. • Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark. • Proven experience setting up ML pipelines, integrating with AWS/Databricks, and applying CI/CD principles. • Solid understanding of time-series forecasting and supervised ML models. More ❯

experience with orchestration frameworks (Dagster, Airflow, Prefect, dbt) Ability to analyse and structure complex datasets Strong communication skills with both technical and non-technical colleagues Desirable Experience with Spark, Dask, or Polars Experience with containerisation (Docker, Swarm, Kubernetes) Additional programming languages (R, PHP, Go) Qualifications Bachelor’s or Master’s in Data Engineering, Computer Science, Applied Mathematics, Physics, or similar More ❯

and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics More ❯

and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics More ❯

GFS. Solid grasp of time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class More ❯

of-the-art technology (deep learning, VLMs), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. Responsibilities: You will contribute to research on Vision Language Models (VLMs) for fraud detection, face matching and document More ❯

of-the-art technology (deep learning, VLMs), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. Responsibilities: You will contribute to research on Vision Language Models (VLMs) for fraud detection, face matching and document More ❯

and engineering teams. Nice to Have Experience integrating multi-omic or imaging data with clinical outcomes. Knowledge of cloud platforms (AWS, GCP, or Azure) and distributed computing tools (PySpark, Dask, or Ray). Familiarity with reinforcement learning or causal ML for adaptive interventions. Why Apply Join a company combining scientific excellence, AI innovation, and real-world health impact. Work with More ❯

and engineering teams. Nice to Have Experience integrating multi-omic or imaging data with clinical outcomes. Knowledge of cloud platforms (AWS, GCP, or Azure) and distributed computing tools (PySpark, Dask, or Ray). Familiarity with reinforcement learning or causal ML for adaptive interventions. Why Apply Join a company combining scientific excellence, AI innovation, and real-world health impact. Work with More ❯

scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve problems where milliseconds and More ❯

scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve problems where milliseconds and More ❯

and peer reviews. Continuously evolve the distributed software stack, improving performance and reliability across platforms. What Youll Bring Strong proficiency in Python , including modern data engineering libraries (Pandas, NumPy, Dask, Polars, PySpark). Experience designing or maintaining distributed systems or microservice architectures . Background as a software engineer or data engineer experience in energy markets is a significant advantage (especially More ❯

peer reviews. Continuously evolve the distributed software stack, improving performance and reliability across platforms. What You’ll Bring Strong proficiency in Python , including modern data engineering libraries (Pandas, NumPy, Dask, Polars, PySpark). Experience designing or maintaining distributed systems or microservice architectures . Background as a software engineer or data engineer — experience in energy markets is a significant advantage (especially More ❯

Job title: Quantitative Developer (C++ or Python) Client: Elite Prop Trading Firm (HFT team) Salary: £70,000 - £275,000 Base (+ Bonus) Location: London (Hybrid) The role: My client are seeking a talented Quantitative Developer to help build their next More ❯

Robert Half Technology are assisting a rapidly growing hedge fund to recruit a Quantitative Developer on a contract basis A leading hedge fund with a strong track record in systematic and quantitative trading. The firm combines advanced research, technology, and More ❯