Machine Learning Engineer - #2150801

Sanderson


Date: 1 hour ago
City: London
Salary: £700 - £750 / day
Contract type: Full time
Work schedule: Full day
Sanderson

Machine Learning Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

6 month initial


Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions.


The requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine learning lifecycle. The successful candidate will be responsible for building, training and deploying machine learning models for end users, while also investigating, preparing and transforming data independently to ensure successful implementation.


Machine Learning Engineer, key skills:

  • Experience: Proven background as a Machine Learning Engineer
  • Programming skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib)
  • Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
  • Cloud: Experience with GCP and Vertex AI (developing ML services)
  • Expertise: Solid understanding of computer science fundamentals and time-series forecasting
  • Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning)



Machine Learning Engineer, XGBoost, GCP, Python, SQL, time-series forecasting

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.

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