Find Machine Learning Developers
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Machine Learning Consultant
Expertise in the development of forecasting models (machine learning and stochastic predictive models)
In-depth knowledge and skills to analyze large datasets using both statistical and advanced data mining/machine learning algorithms
Analysis of large datasets from Plugged-in Midlands Project (PiM) and eBridge project related to Electric Vehicles charging events and EV trips (R studio, Matlab, SPSS, WEKA tool and RapidMiner software packages used)
Cluster Analysis using k-means algorithm to extract typical profiles (Matlab, R)
Statistical Analysis using Regression models to investigate the long-term trend of a time series (Matlab, SPSS)
Development of a quantitative risk analysis (decision making) model (based on Fuzzy-Logic) to identify the potential risk of EV charging demand on a distribution network (Matlab)
Spatial Data Analysis (using Google Earth/Google Maps, Open Street Maps)
Data Visualization experience (UML diagrams, Matlab, Microsoft Office)
Professional experience using tools and techniques to utilize Business Intelligence in order to drive competitive advantages and create new strategic business opportunities
Organizational and Analytical skills, Strong commitment to learn and a strong drive to achieve results, Intellectual skills and creative thinking, Ability to work independently and within a team environment and deal in a challenging environment under pressure, Strong independent decision-making, organizational, planning and problem-solving skills
In-depth knowledge and skills to analyze large datasets using both statistical and advanced data mining/machine learning algorithms
Analysis of large datasets from Plugged-in Midlands Project (PiM) and eBridge project related to Electric Vehicles charging events and EV trips (R studio, Matlab, SPSS, WEKA tool and RapidMiner software packages used)
Cluster Analysis using k-means algorithm to extract typical profiles (Matlab, R)
Statistical Analysis using Regression models to investigate the long-term trend of a time series (Matlab, SPSS)
Development of a quantitative risk analysis (decision making) model (based on Fuzzy-Logic) to identify the potential risk of EV charging demand on a distribution network (Matlab)
Spatial Data Analysis (using Google Earth/Google Maps, Open Street Maps)
Data Visualization experience (UML diagrams, Matlab, Microsoft Office)
Professional experience using tools and techniques to utilize Business Intelligence in order to drive competitive advantages and create new strategic business opportunities
Organizational and Analytical skills, Strong commitment to learn and a strong drive to achieve results, Intellectual skills and creative thinking, Ability to work independently and within a team environment and deal in a challenging environment under pressure, Strong independent decision-making, organizational, planning and problem-solving skills
Skills
machine-learning
machine-learning-engineer
technical-architect
bigdata
Senior / Lead Developer
I am a passionate and experienced Java developer with a PhD in Unsupervised Machine Learning. Over the years I have worked in Software Development for organisations like Sky, the Welsh NHS and Bangor University. This has included direct employment and in a consultancy basis through my company, Sourcepulp. In the latter capacity I have coordinated two software projects working with the Welsh NHS. I have experience of leading small development teams, both of my own employees and as a lead developer for Infinity. I am a believer in the principles of the Agile manifesto, and not over-complicating them.
I have a lot of experience designing, developing and maintaining modern Java RESTful HAL/JSON APIs built with Spring, deploying them as Docker images on Kubernetes (GKE). I have also worked with Groovy, Scala and C# professionally.
My academic interests are in Change Detection and Machine Learning. The title of my PhD was "Unsupervised Change Detection in Multivariate Streaming Data". I developed general improvements to the process of unsupervised multivariate change detection, which are applicable together within a pipeline. I am the author of several journal papers on this subject, and have acted as a reviewer for:
- Information Sciences
- IEEE Transactions on Learning Systems and Neural Networks
- IEEE Transactions on Reliability
I have a lot of experience designing, developing and maintaining modern Java RESTful HAL/JSON APIs built with Spring, deploying them as Docker images on Kubernetes (GKE). I have also worked with Groovy, Scala and C# professionally.
My academic interests are in Change Detection and Machine Learning. The title of my PhD was "Unsupervised Change Detection in Multivariate Streaming Data". I developed general improvements to the process of unsupervised multivariate change detection, which are applicable together within a pipeline. I am the author of several journal papers on this subject, and have acted as a reviewer for:
- Information Sciences
- IEEE Transactions on Learning Systems and Neural Networks
- IEEE Transactions on Reliability
Skills
java
machine-learning
rest
android
apache-maven
api
apple-ios
asp.net
back-end-developer
c#
devops
docker
embedded-software-development
git
groovy
hibernate
it-consulting/it-support
junit
linux
matlab/simulink
postgres-sql
python
robotics
soap
sql
windows
Machine Learning Engineer / Data Science
Machine Learning Engineer / Data Science
Skills
machine-learning
python
pytorch
angular
angularjs
computer-science
css
html/xhtml
intellij-idea
javascript
numpy
pandas
postgres-sql
robotics
scikit-learn
seo/sem---search-engine-optimization-&-marketing
Data Scientist
I am a proactive and technologically minded professional with a strong academic record and commercial experience in data science projects for both private and public organisations. Interacting closely with C-level executives and business stakeholders, I have developed a high level of business acumen in retail, FMCG, higher education, and the healthcare sector. My adaptability, problem-solving mindset and strong communication skills, moreover, allow me to work collaboratively within multidisciplinary teams as well as cope with pressure and keep on top of deadlines effectively.
Skills
consulting
python
r
consumer-goods
retail
excel
spss
sql
Data Analyst, Machine learning Engineer
13+ years of Exp in Oil & Gas , Energy domain , interested to pursue career in Data science field as domain Expert and Data Analyst.
Skills
deep-learning
machine-learning
python
AI Program Manager
Knowledgeable about: Mobile Devices, App Stores, Apps & Games, Online Content, Merchandising, Agile methodology
Computer programming (basic knowledge): HTML, CSS, SQL, PHP, JAVA, J2EE, C, C++, XML, Visual Basic
Computer literate: Windows, Mac, Microsoft Office/SharePoint/Visio, Google Docs/Analytics, Omniture
SW & QA tools: Jira, GitHub, Confluence, Jenkinss
Spoken languages: English & French
Computer programming (basic knowledge): HTML, CSS, SQL, PHP, JAVA, J2EE, C, C++, XML, Visual Basic
Computer literate: Windows, Mac, Microsoft Office/SharePoint/Visio, Google Docs/Analytics, Omniture
SW & QA tools: Jira, GitHub, Confluence, Jenkinss
Spoken languages: English & French
Skills
agile
ai
machine-learning
ms-office
ms-sharepoint-portal-server
windows
FAQ
What is Machine Learning?
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves
What does a Machine Learning Engineer do?
They run machine learning experiments using a programming language with machine learning libraries. They also deploy machine learning solutions into production, and optimize solutions for performance and scalability.
What is the average day rate for Machine Learning Engineers?
The average day rate ranges from £570-650 depending on experience.
What should a Machine Learning Engineer know?
Generally, machine learning engineers must be skilled in computer science and programming, mathematics and statistics, data science, deep learning, and problem solving.
