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CC Jobs: Machine Learning Engineer contract

From: Steve O.
Sent on: Tuesday, June 25, 2019 10:31 AM

Hi Folks

A Cambridge based pharmaceutical company is looking to hire a machine learning engineer on a contract.

Unfortunately tomorrow is the last day for applications, so please get in contact today if interested! Contact [address removed] for application details.


Role

Join a growing data science team delivering industry-leading analytics solutions to global functions in the company. They need to productionise their machine learning models to classify tax submissions and are looking for a talented individual to help achieve this.

The ideal candidate will possess a blend of mathematical expertise, computational science skills, strong communication skills and software engineering experience. They will have experience of applying data science at scale.

This individual will deliver tangible value through building pipelines, productionising data science solutions, running machine learning tests, re-training models when required and maintaining solutions. The right individual is also expected to build solutions using statistical analysis, machine learning or other methodologies.

The successful candidate will be delivery focused and expected to work closely with customers and other data scientists to help maintain and productionise algorithms and analytical solutions on cloud infrastructure.

Key Accountabilities

  • Establishing strong working relationships with the Data Science team and our customers to develop an in-depth understanding of business priorities and early insight into changing needs.
  • Translating unstructured, complex business problems into appropriate solution.
  • Developing a robust understanding of relevant data sources and their provenance, quality and structure.
  • Working with engineering and architecture to support large scale data preparation, the optimization of analytics platforms and the industrialisation of proven analytics methods.
  • Working with data science suppliers as needed to augment capability.
  • Undertaking business analysis and business process analysis as part of solution design process.
  • Being an active member of the Analytics team. You will benefit from, and contribute to, the expanding bank of Data Science algorithms and work efficiently with data science workstations. You will get involved in testing and assessing the quality of new tools. It’s also likely you’ll get involved in recruitment and coaching.
  • Developing, maintaining and applying ongoing knowledge and awareness in trends, best practice and new developments in analytics and data science.

Your knowledge, skills, and experience

  • 2 years+ commercial experience with practical examples of success in implementing production ready data science solutions.
  • PhD or MSc in Computer Science, Statistics, Operations Research, Mathematics or related quantitative field.
  • Experience of software engineering and a strong understanding of software design patterns, particularly microservices, with strong understanding of AWS environment and product.
  • Strong background in machine learning using unsupervised and supervised methods. Knowledge of deep learning would be an advantage.
  • Experience building APIs using frameworks like Python/FLASK, loosely-coupled web applications on recognised frameworks and experience using docker containerisation.
  • Use of Data Science modelling and scripting tools eg. R, Python and Data Science Notebooks (e.g. Jupyter).
  • Experience and knowledge of visualisation tools and ability to tell a story with the data.
  • Data Manipulation/preparation skills: SQL, Python – Pandas, R, Hadoop.
  • Sufficient knowledge of designing feedback pipelines for re-training machine learning models.
  • Ability to independently interpret different mathematical measures of accuracy and suggest ways to improve data science models.

In addition, candidates will be expected to demonstrate:

  • Influencing and innovation skills.
  • Great communication skills with the ability to work with others to achieve objectives.
  • Good written and verbal skills, fluent English.

The role will have no direct line reports, but task management responsibilities within project or services may occur.

Tomorrow is the last day for applications, so please get in contact today if interested! Contact [address removed] for application details.

 

 

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