This range is provided by Investigo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Location: Birmingham – Hybrid working 1-2 days a month on site
About You:
Technical Skills:
* Expertise in machine learning (supervised, unsupervised, reinforcement learning).
* Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL.
* Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
* Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking.
* Deep knowledge of feature engineering, model deployment, and MLOps best practices.
* Experience with big data processing (Spark, Hadoop) and cloud-based data science environments.
Other:
* Ability to integrate ML workflows into large-scale data pipelines.
* Strong experience in data pre-processing, feature selection, and statistical modelling.
* Experience communicating complex findings to both technical and non-technical stakeholders.
If you are interested and looking for your next role, please apply directly or email emma.mayfield@investigo.co.uk
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Staffing and Recruiting
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