designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skills—able More ❯
learn, Hugging Face). Solid software engineering background: data structures, algorithms, distributed systems, and version control (Git). Knowledge of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect), and streaming frameworks (Spark, Kafka). Strong communication skills-able to explain complex concepts to technical and non-technical stakeholders. Preferred (Nice-to-Have) Experience in early-stage startups or More ❯
CVEs, and network monitoring. Experience integrating with technologies such as Spark, Dask, Snowpark, or Kafka. Background in web application stacks (e.g., Flask, Django) or task schedulers (e.g., Airflow, Celery, Prefect). Compensation & Benefits: Competitive salary, equity, and performance-based bonus. Full benefits package including medical, dental, and vision. Unlimited paid time off. If you want to know more about this More ❯
to fast-paced startup environment, comfortable with ambiguity and evolving responsibilities Work Authorization: Must be eligible to work in US or UK Preferred Experience: Data orchestration tools (e.g. , Airflow, Prefect)Experience deploying, monitoring, and maintaining ML models in production environments (MLOps)Familiarity with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and More ❯
to fast-paced startup environment, comfortable with ambiguity and evolving responsibilities Work Authorization: Must be eligible to work in US or UK Preferred Experience: Data orchestration tools (e.g. , Airflow, Prefect)Experience deploying, monitoring, and maintaining ML models in production environments (MLOps)Familiarity with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and More ❯
in e-commerce, retail, or the travel industry Experience designing and analysing large-scale A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining More ❯
setup and deployment AI/ML - real models, not just slide decks Git - because version control is second nature Bonus Skills (nice to have): Apache Spark/Kubernetes/Prefect, Airflow or similar/Torch, VLLM, or LLM-related tooling/pydantic.ai or similar/Shell scripting Team We believe in flat hierarchies and fast decision-making processes. Application Process More ❯
setup and deployment AI/ML - real models, not just slide decks Git - because version control is second nature Bonus Skills (nice to have): Apache Spark/Kubernetes/Prefect, Airflow or similar/Torch, VLLM, or LLM-related tooling/pydantic.ai or similar/Shell scripting Team We believe in flat hierarchies and fast decision-making processes. Application Process More ❯
setup and deployment AI/ML - real models, not just slide decks Git - because version control is second nature Bonus Skills (nice to have): Apache Spark/Kubernetes/Prefect, Airflow or similar/Torch, VLLM, or LLM-related tooling/pydantic.ai or similar/Shell scripting Team We believe in flat hierarchies and fast decision-making processes. Application Process More ❯
in Computer Science or a related discipline Solid Python programming skills Good working knowledge of SQL Comfortable using Git for version control Desirables: Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt Basic familiarity with Docker and BI tools (Power BI, Tableau) Interest in shipping, financial markets, or commodities Package More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
skills and familiarity with Git Strong communicator, eager to learn, and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting More ❯
analysis and data visualisation. BSc in Computer Science or a related discipline Good working knowledge of SQL Comfortable using Git for version control Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt Basic familiarity with Docker and BI tools (Power BI, Tableau) Interest in shipping, financial markets, or commodities Package More ❯
on Business, Marketing, Analytics, or Computer Science Experience with AWS Experience with Javascript Basic understanding of digital interaction technologies such as live chat, virtual agents/chatbots Experience with Prefect Experience building User Interfaces What You Should Know About This Team Our Proof of Concept team is known for its collaborative spirit, a strong desire to learn, and, most importantly More ❯
have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction. You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes. You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
product and data to develop a live reporting portal (e.g. Metabase) Manage and mentor a small team of analysts Tech Environment Analytics : Tableau, SQL Engineering : dbt, Python, Postgres, Azure, Prefect Ideal Candidate 4-6 years' experience in analytics, with some leadership exposure Proven skills in SQL, Python, and dbt Experience delivering operational insights and improving reporting processes Comfortable working cross More ❯
