MLE- Machine Learning Engineer
£700- 750 pd via Umbrella
Initially for 6 months with long term potential
Mostly remote, 1 day per month in London
A leading business is expanding its team and looking to bring in several Machine Learning Engineers.
You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business.
This role is ideal for someone with strong software engineering fundamentals, hands-on data experience, and a passion for building scalable, high-quality ML and data solutions in production environments.
Essential Experience
- Strong programming skills in Python (Pandas, NumPy, etc.).
- Proficiency in SQL for data querying and transformation.
- Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience working with data manipulation and large datasets.
- Proven experience developing and maintaining production-level codebases.
- Experience with any public cloud provider (GCP, AWS, or Azure).
- Optimise Python performance through effective use of loops, vectorization, threading, and understanding of the Global Interpreter Lock (GIL).
Desirable Experience
- Experience with Kubeflow, Airflow, or dbt.
- Hands-on experience with Google Cloud Platform (GCP).
- Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices.
- Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.).
Reasonable Adjustments
Respect and equality are core values to us.
We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives.
Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.