Machine Learning Engineer/Data Scientist - SC Cleared
Posted 7 days ago by Sanderson Government & Defence
£595 Per day
Outside
Hybrid
London, UK
Summary: We are looking for a Machine Learning/Data Scientist with active SC clearance to develop and deploy machine learning models, particularly for anomaly detection, in a hybrid work environment. The role involves building proofs of concept and designing automated workflows while collaborating with cross-functional teams. Candidates should have a strong background in Python and AWS, specifically SageMaker. This is a contract position based in London with a competitive day rate.
Key Responsibilities:
- Develop and deploy machine learning models for anomaly detection
- Build proofs of concept (PoCs) to validate data science approaches
- Design and implement automated workflows and pipelines
- Work with large-scale datasets to extract insights and improve model performance
- Collaborate with cross-functional teams to translate business needs into technical solutions
Key Skills:
- Active SC Clearance (mandatory)
- Strong proficiency in Python
- Hands-on experience with AWS, particularly SageMaker
- Experience with Streamlit for rapid prototyping and PoC development
- Solid understanding of anomaly detection techniques
- Experience building data workflows/pipelines
Salary (Rate): £595/day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Contract Machine Learning/Data Scientist (SC Cleared)
We are seeking an experienced Machine Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments.
Key Responsibilities:
- Develop and deploy machine learning models for anomaly detection
- Build proofs of concept (PoCs) to validate data science approaches
- Design and implement automated workflows and pipelines
- Work with large-scale datasets to extract insights and improve model performance
- Collaborate with cross-functional teams to translate business needs into technical solutions
Required Skills & Experience:
- Active SC Clearance (mandatory)
- Strong proficiency in Python
- Hands-on experience with AWS, particularly SageMaker
- Experience with Streamlit for rapid prototyping and PoC development
- Solid understanding of anomaly detection techniques
- Experience building data workflows/pipelines
Desirable:
- Experience working in secure/government environments
- Knowledge of MLOps best practices
- Familiarity with Real Time or near Real Time data processing
Contract Details:
- Location: London (hybrid)
- Duration: 6 months
- Day Rate: Up to £595/day (Outside IR35)
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.
