8 of 8 Permanent Polars Jobs in London

AI Engineer

Hiring Organisation
Cerberus Capital Management
Location
City of London, London, United Kingdom
limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

Python Developer

Hiring Organisation
numi
Location
City of London, London, United Kingdom
Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures ...

Machine Learning Scientist

Hiring Organisation
Cerberus Capital Management
Location
City of London, London, United Kingdom
highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

Founding Data Engineer

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£70,000 - £80,000 per annum
models, including temporal patterns, user behaviour sequences, and campaign attribution Ensure data quality via validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars pipelines for performance at scale Handle messy real-world data: duplicates, nulls, schema drift, and out-of-order events Build and orchestrate pipelines using Prefect ...

Founding Data Engineer

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£75,000 - £80,000 per annum, Inc benefits
pipelines Strong event-level/behavioural data experience Able to work independently and make smart technical decisions Nice to have: pandas/polars dbt Django or backend exposure DevOps or data science familiarity Why join Founding-level ownership High-impact, high-autonomy role Greenfield build Real equity value and exit ...

Data Engineer

Hiring Organisation
Harnham
Location
City of London, London, United Kingdom
hands-on experience in data engineering , ideally in startups, consumer subscription apps, or MarTech . Strong Python skills (certifications or deep experience with Pandas, Polars ). Experience with behavioral tracking data (e.g., Amplitude, Mixpanel, Segment). Familiarity with dbt, Django, and DevOps/ML workflows . A proactive, founding-engineer ...

Data Scientist (Sports Analytics)

Hiring Organisation
Singular Recruitment
Location
Central London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£80,000
technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football ...

Data Engineer

Hiring Organisation
Glocomms
Location
City Of London, England, United Kingdom
working with production systems in a regulated environment Able to work independently and deliver in a fast‐paced setting Nice to Have Exposure to Polars Experience optimising Spark workloads Cloud data platform experience across AWS, Azure or GCP What Makes This Role Appealing You'll work on data that directly …/ELT and data extraction * Background in financial services, ideally investment management * Comfortable working in a regulated, production environment Nice to Have * Exposure to Polars * Experience optimising Spark workloads * Cloud data platform experience (AWS, Azure ...