Machine Learning Engineer for Cutting-Edge Projects

4 days ago

London, Greater London, United Kingdom Tribal Tech - The Digital, Data & AI Specialists Full time
Tribal Tech - The Digital, Data & AI Specialists
Job Overview:
We're looking for a talented Machine Learning Engineer to join our team in London. As a Machine Learning Engineer, you will be responsible for developing and implementing advanced machine learning models and algorithms, analyzing large datasets, collaborating with cross-functional teams, designing experiments, and presenting complex findings to both technical and non-technical stakeholders.

About the Role:
This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in machine learning and data analysis to drive business decisions. You will be working closely with our cross-functional teams to translate business requirements into data science solutions, using your skills to design and conduct experiments to test hypotheses and validate models.

Key Responsibilities:
  • Develop and implement advanced machine learning models and algorithms.
  • Analyze large datasets to extract meaningful insights and drive business decisions.
  • Collaborate with cross-functional teams to translate business requirements into data science solutions.
  • Design and conduct experiments to test hypotheses and validate models.
  • Presentation of complex findings to both technical and non-technical stakeholders.

Technical Skills Required:
  • Strong proficiency in Python and R for data analysis and modeling.
  • Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Solid understanding of statistical analysis and data mining techniques.
  • Familiarity with big data technologies like Spark or Hadoop.
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).

Nice to Have:
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Knowledge of NLP or computer vision techniques.
  • Familiarity with version control systems (e.g., Git).

Qualifications:
  • MSc or PhD in Computer Science, Statistics, or related field.
  • 3+ years of professional experience in data science.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills to present complex findings to diverse audiences.

Benefits:
  • Estimated salary: £70,000 per annum, based on location and industry standards.
  • Performance-based bonuses.
  • Equity options.
  • Comprehensive benefits including health insurance and pension plan.

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