Machine Learning Engineer

1 month ago


London, Greater London, United Kingdom Nolea Full time

Nolea is experiencing rapid growth, and we're on the lookout for an experienced Machine Learning Engineer to join our dynamic team. If you're a highly skilled machine learning engineer adept at solving complex algorithmic and engineering challenges, particularly in the realm of data, and you thrive in a cross-functional, fast-paced environment, then read on

You Will:

Design and implement high-scale, data-intensive machine learning solutions for Nolea's platform.
Analyse, develop, and execute machine learning models and algorithms to address the information lifecycle needs of our business units.
Participate in significant projects that drive innovation and growth within the company.
Research and implement advanced algorithmic solutions to improve Nolea's data-driven capabilities.

You Are:

An autodidact who relishes challenges and is highly motivated to learn and grow.
A thoughtful coder who believes in designing robust machine learning architectures before diving into implementation.
Ambitious and driven to make a tangible impact, capable of operating strategically while also diving into the nitty-gritty details to ensure success.
Independent and quick to grasp new machine learning concepts, able to drive projects from conception to execution.
Results-oriented with a proactive approach to achieving and exceeding machine learning goals.
Data-oriented with a passion for analysing and working with data to derive insights.
Organised and skilled at managing complex, multifaceted machine learning projects with multiple dependencies.
A team player who collaborates effectively with colleagues and cross-functional teams to achieve shared machine learning objectives.

Qualifications

5+ years experience in designing and implementing server-side Data solutions.
5+ years programming experience, preferably in Python and SQL.
Experience implementing algorithmic solutions, data mining, and analytical methodologies.
Able to use orchestration frameworks such as Airflow, Kubernetes, and Docker Swarm.
Experience with Data Lake, Spark - Advantage.
Familiarity with AWS ecosystem - Advantage.
Familiarity with the following tools: Kafka, DataBricks, Jenkins - advantage.
Experience working with various database engines (relational, document storage, key-value, time series) - ElasticSearch, Redis, Postgres, MySql.

Nolea focuses on SaaS, Recruiting, and Healthcare Services. Their company has offices in London. They have a small team that's between 1-10 employees.
You can view their website at or find them on LinkedIn.

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