Sanderson
Machine Learning Engineer
£700-750/day overall assignment rate to umbrella
Remote working – once a month onsite
6-month initial contract
Working with a financial services client who are looking for a Machine Learning Engineer to design, build and deploy advanced analytical solutions that drive business value. This role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems.
Machine Learning Engineer, key skills:
- Strong experience in Python (e.g. pandas, scikit-learn, NumPy, TensorFlow/PyTorch)
- Proven experience in model productionisation and deployment in real-world environments
- Hands-on experience with MLOps, including CI/CD for ML, versioning, and monitoring
- Experience with cloud platforms (e.g. AWS, Azure, or GCP) and containerisation (Docker, Kubernetes)
- Experience building data pipelines and working with large datasets (SQL, Spark or similar)
- Strong understanding of machine learning algorithms and statistical modelling techniques
- Experience collaborating across data science and engineering teams
Machine Learning Engineer, Python, MLOps, model deployment
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.
To apply for this job please visit www.reed.co.uk.
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