Webinar to Empower Future ML Engineers

Career Opportunities in Machine Learning in the UK, US, and Europe

Do you want to earn a six-figure salary? There has been an increase of 300% in the job openings for machine learning and artificial intelligence professionals. The average salary of a machine learning engineer in the UK is £52,000. This average salary can even go up to £170,000 if you get employed by the top companies.

Jobs in AI and machine learning are recognised as the hottest jobs of the century!

About the Webinar

This interactive webinar aims to explain to the attendees about the tremendous career opportunities in machine learning and top companies hiring ML professionals.

Key Details

Date: 17th July 2021
Time: 2:00 PM - 3:00 PM BST
Topic: Machine Learning

Why You Should Attend LSET Webinar?

The Career Opportunities in Machine Learning in the UK, US, and Europe webinar organised by LSET aims to discuss the career opportunities, growth, and challenges faced in the ML industry. The industry experts will be helping the students to discuss their doubts and help them define a clear career path for their future.

Exclusive Highlight: 10 selected Individuals will be chosen to go through a free career preparatory workshop on Machine Learning. These workshops will provide a proper career path and guidance to individuals to prepare individuals for a career in Machine Learning.

Topics Discussed in the Webinar

The AI & machine learning industry
Tools and programming languages for machine learning
Applications in data science
Project cycle of ML and data science projects
Popular ML algorithms
Career opportunities in machine learning
Top companies hiring ML professionals
The exponential growth of the AI & ML industry

Benefits of Attending the Webinar

Machine learning industry exposure
Career counselling to become an ML professional
Clearing doubts and questions
Path to learn machine learning
Learn about the best practical training resources
Understanding the connection between Artificial Intelligence, Machine Learning, and Deep Learning

Questions Discussed in the Webinar:

Which programming languages to learn for ML?
What is the scope of career growth in machine learning?
How to learn machine learning?
How to increase your chances of getting employed?
Which topics to cover for an interview?
What are the key challenges in adapting ML to an organisation?
What are the latest tools and technologies used in ML?

Who Should Attend this Webinar

Engineering students who want to start a career in machine learning
Professionals who are looking for a career change
Students who want to learn about machine learning and artificial intelligence

Why Should You Learn Machine Learning?

Machine Learning enables businesses to develop programs that help machines to become adaptable to different environments. Every top business is hiring machine learning professionals who can put them ahead of their competitors.

The future of artificial intelligence is amazingly bright, with new organisations building AI and ML-based applications. Thus, a career in ML is both high paying and secure.
There is a diverse range of career options available when you learn machine learning.
Machine learning is still in an early stage of development. Thus, there are exponential career growth opportunities for ML professionals.
Machine learning professionals with a decent skill set can also have the opportunity to move to data science. The shift could be very satisfying, exciting, rewarding and filled with opportunities.

Career Options in Machine Learning

Machine Learning Engineer

These professionals have to train machines to make predictions. They need to have practical knowledge of Java, Python, data modelling, machine learning algorithms, probability, statistics, and more.

BI Developer

These professionals have to use data analytics and machine learning to work on huge sets of data. By using this data, they are able to help the decision-makers of a business. Proficiency in Python, SQL, Power BI, and other databases might be required.

Natural Language Processing Scientist

These professionals have to develop or train machines that are able to understand different human languages. Machines are developed to facilitate machine to human interaction.

Data Scientist

These professionals have similar role and responsibilities to BI developers. They also need to work with large data sets to help decision-makers make informed decisions. However, they have to be proficient in predictive modelling, statistical research, big data, data mining, machine learning, and programming languages.

Human-Centred Machine Learning Designer

These professionals have to work with machine learning algorithms that are developed for humans. They focus on using pattern recognition and information processing methodologies to create systems that can help in creating intelligent experiences for humans.

Computational Linguist

A computer linguist is responsible for having specialisation in various languages and artificial intelligence programs. They have to conduct research and analysis to ensure quality and efficiency. These professionals also manage teams in the design and development procedures.