Machine Learning Engineer, Python, Machine Learning, Data Scientist
Work from home, Remote delivery, UK based. Leading Blue Chip customer – excellent package, bonus, full bens, home working
Experienced Machine Learning Engineer with solid Python experience and ideally consumer products, online recommendations experience.
The Machine Learning Engineer role:
- make appropriate use of Machine Learning techniques to build models that can be used to transform the online experience into a more personalised one.
- apply software engineering best practice to your day-to-day work, ensuring that the technical debt you accumulate through experimentation is regularly repaid with robust solutions that are modular, extensible, well tested and easily moved into production.
- data manipulation, so be comfortable with regexes and command line tools.
- machine learning life cycle and MLOps, taking a holistic view of the model deployment when developing the model
- help Data Engineers build the data pipelines required for productionised ML models to train and run at scale in the cloud.
- work with Product Owners to suggest ways in which personalisation, relevancy/timeliness of recommendations and website conversion can be improved.
- understand A/B and multi-armed bandit tests, and have a good grasp of basic statistics concepts.
- guide and mentor our client in IT and Insight functions who are interested in learning more about data science and machine learning.
- support the development of the wider data science and machine learning community.
- be aware of the biases that may be introduced into data sets and models and guard against them
Essential:
- Solid Python programming with relevant packages for statistics, machine learning and numerical computing, eg numpy, scipy, scikit-learn, tensorflow, keras.
- Git version control, unit testing, continuous integration and best practices
- Delivery of models and data pipelines in a repeatable, reliable, automatable fashion
- Manipulate data and rapidly prototype and communicate solutions in Jupyter notebooks.
- Transform prototype solutions into something modular, extensible, tested and production ready.
- Produce and deploy machine-learning models on cloud-based infrastructure, containerisation and data pipelines.
- Understanding of classical statistics and its applications particularly to hypothesis testing and inference.
- Strong modern machine learning techniques, particularly neural networks, Word2Vec, and representation learning.
- Experience with recommendations systems.
- Not afraid to read research papers, adapt and apply ideas from the latest research.
- Able to visualise and communicate results in a compelling way to people who may be new to machine learning
- Work with other data scientists, engineers, product owners, business analysts and delivery leads
Desirable:
- Google Cloud Platform.
- agile software development team.
- common data engineering technologies
- Bayesian statistics
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This advert was posted by Staffworx Limited – a UK based recruitment consultancy supporting the global digital, E-commerce, software & consulting sectors. Services advertised by Staffworx are those of an Agency and/or an Employment Business.
Staffworx operate a referral scheme of £500 or new iPad for each successfully referred candidate, if you know of someone suitable please forward for consideration.
