Machine Learning Engineer
|Job Title:||Machine Learning Engineer|
|Salary:||£40000 - £60000 per annum + generous benefits|
|Contact Name:||Tony Smith|
|Job Published:||June 24, 2021 10:11|
The increased use of data within these sectors means that they must be able to respond to the disruption of the digital era and the increasing pace, volatility, variety, and scale of change that is now inherent in today's business environment. The value of data can be maximised through the extraction of hidden information and insights that can enable efficiencies and more effective business processes, helping clients to understand and improve their business performance using data-driven approaches.
The Machine Learning Engineer will provide expertise in the design and application of scalable Machine Learning solutions for a variety of clients and sectors.
The Machine Learning Engineer will:
*Apply a variety of machine learning and data engineering techniques to develop proof-of-concept business solutions into software products and data services.
*Work with clients to integrate these best practices into their processes and decision-making
*Handle, merge, and clean multi-source data for use in software products and to power data services.
*Collaborate with teams of Data Scientists, Software Engineers and other technical consultants of various experience levels.
*Actively participate in the design of bespoke, innovative, flexible, and sector-specific software projects.
*Contribute to decision-making that will lead to successful delivery of projects.
*Derive actionable outcomes from the outputs of software projects.
*Be responsible for expanding your software and analytical skills through appropriate training and mentorship.
*Participate in external activities related to own specialism such as client engagement.
We are looking for a Machine Learning Engineer who understands business problems and has the technical knowledge and ability to extract, transform and analyse data for use in software products and to power data services.
You will be degree qualified in applied maths, statistics, computer science, engineering or another related fields with experience as a Machine Learning Engineer or a role that requires similar exposure to working with 'big data' and complex problem-solving using data. You will have experience in applying algorithms (including ML/AI) to data and optimising them to work at scale.
In addition, you will have:
*Good programming skills for data transformation or modelling (e.g. Python, R, Scala).
*Experience in applying algorithms (including ML/AI) to data and optimising them to work at scale (via data pipelines) in a production environment.
*Data storage and querying skills (relational SQL and NoSQL databases, Data Lakes, S3).
*Experience with developing and provisioning sustainable solutions within cloud-based ecosystems (e.g. Microsoft Azure, AWS).
*Hands on experience with some of the following: regression, SVM, Random forests, Clustering, NLP, Neural Networks, Hypothesis testing, algorithm development.
*Good understanding of data modelling, data structures, master & metadata management.
*Excellent verbal and written communication skills.
*Strong DevOps skills, knowledge, and experience of a variety of techniques and methods to capture, elaborate and understand client challenges (agile/scrum/Kanban/waterfall, effective report writing and presentations, and strong stakeholder engagement).
In addition, the following would be beneficial:
*Experience in full-stack software development (e.g. .is frameworks, Java, .NET).
*Exposure to real time Analytics and Data warehousing (e.g. Synapse, Redshift).
*Experience in Defence, National Infrastructure, Transport, or similar sectors.
*ETL\ELT and Orchestration of data pipelines in a production environment (e.g. Data Factory, Glue).
*Understanding of at least one Data Framework (e.g. Azure, AWS, Apache Spark, Apache Hadoop).
Machine Learning Engineer
London (alternatively Bristol, Aldershot or Epsom)
Circa £40-60k DOE plus comprehensive benefits package.
Key Skills: Machine Learning, ML, Artificial Intelligence, AI, Algorithms, Data, Big Data, Python, R, Scala, Data Optimisation, SQL, NoSQL, Data Storage, Cloud.
PLEASE NOTE: Due to the nature of work undertaken at our client's site, incumbents of these positions are required to meet special nationality rules and therefore these vacancies are only open to British Citizens. Applicants who meet these criteria will also be required to undergo security clearance vetting, if not already security cleared to a minimum SC level.
Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to a number of high technology industries. We thank you for your interest in this vacancy. If you don't hear from us within 7 working days, please presume your application has been unsuccessful on this occasion. You are of course free to resubmit your CV/details in the future and we shall assess your suitability at that time.
This role is a permanent position.
Electus Recruitment Ltd is acting as an Employment Agency in relation to this vacancy.
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