{"id":26549,"date":"2021-02-24T15:13:28","date_gmt":"2021-02-24T15:13:28","guid":{"rendered":"https:\/\/stonebridge-blog.positive-dedicated.net\/?p=26549"},"modified":"2021-02-24T15:13:30","modified_gmt":"2021-02-24T15:13:30","slug":"is-machine-learning-a-good-choice-for-a-career","status":"publish","type":"post","link":"https:\/\/www.stonebridge.uk.com\/blog\/machine-learning\/is-machine-learning-a-good-choice-for-a-career\/","title":{"rendered":"Is Machine Learning a good choice for a career?"},"content":{"rendered":"\n

According to indeed<\/a>, the demand for machine learning engineers has grown 334% in the last 5 years. Making it an extremely sought-after tech role.  <\/p>\n\n\n\n

Machine Learning allows us to utilise artificial intelligence to enable machines to function independently. Allowing them to learn and improve upon past experiences without being directly taught.<\/p>\n\n\n\n

This allows companies to build data-defined, highly efficient machine processes, that are more intuitive to modern human needs. It\u2019s no wonder companies see the value in machine learning and are keen to employ their own engineers.<\/p>\n\n\n\n

Therefore, as a coveted role that requires specific expertise, your salary will reflect that. Most graduate machine learning engineers can expect to start around \u00a335,000. The average engineer earns around \u00a352,000 with the possibility of earning upwards of \u00a3100k.  <\/p>\n\n\n\n

With experience you can develop into more senior roles where you\u2019re able to build and manage teams working in large multinational companies. Or even remotely as a freelancer if you\u2019d prefer.<\/p>\n\n\n\n

With a high demand and attractive salary, careers in machine learning could be a good choice for the right person. Read on to learn more on what to expect from a career in machine learning.<\/p>\n\n\n\n

What to expect working as a Machine Learning Engineer<\/h2>\n\n\n\n

As a machine learning engineer, you should expect to work with complex systems. This requires you to have specialist knowledge and a specific set of traits.<\/p>\n\n\n\n

Positions are usually office-based, although there are opportunities to work remotely depending on your employer. Your employer will also influence the office culture and dress code so this can vary.  <\/p>\n\n\n\n

Necessary Skills<\/h3>\n\n\n\n
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Working in machine learning means you\u2019ll need to demonstrate a range of skills to potential employers. You\u2019ll need to have an advanced mathematical ability to perform computations and work with algorithms. As well as the ability to explain the complex process to people who aren\u2019t programming experts.<\/p>\n\n\n\n

In addition to this, it\u2019s important to have a strong analytical mind and a keen eye for detail. You will also work with large and complex datasets. Maintaining a level-head under pressure and staying focussed for long periods is advantageous.<\/p>\n\n\n\n

You\u2019ll also need to show you understand machine learning best practises from evaluation metrics to python coding skills. As well as possessing knowledge of Linux SysAdmin and typed language such as Java and competence with infrastructure as code.<\/p>\n\n\n\n

Most employers will expect you to present a portfolio of your past experiences demonstrating your abilities. Allowing them to confidently make their decision on whether you\u2019re right for the role.<\/p>\n\n\n\n

Responsibilities<\/h3>\n\n\n\n

As a machine learning engineer, you\u2019ll use computer science fundamentals like data structures, algorithms, computability, and computer architecture. This allows you to influence project outcomes and isolate issues that need resolving to ensure programmes are running effectively.<\/p>\n\n\n\n

You\u2019ll collaborate with other data engineers to build data and model pipelines. Managing their infrastructure and bringing code to production. This requires you to have an end-to-end understanding of what is being created.<\/p>\n\n\n\n

As you gain experience you\u2019ll liaise with stakeholders to analyse business problems. Clarifying requirements for their desired application improvements and designing appropriate strategies moving forward.<\/p>\n\n\n\n

You\u2019ll extract hidden insights from large and complex datasets allowing you to improve the existing machine learning infrastructure. As well as working in cross-functional departments supporting the work of other engineers and product managers.<\/p>\n\n\n\n

Get Qualified<\/h2>\n\n\n\n

Most employers looking to hire a machine learning engineer require potential candidates to hold a Masters degree or PhD.<\/p>\n\n\n\n

Despite the demand for machine learning engineers growing rapidly, it is still a fairly new area. Machine learning is covered within computer science but now it\u2019s a career path in its own right.<\/p>\n\n\n\n

Because of this, it means there aren\u2019t many undergraduate courses that focus solely on the subject. So, you\u2019ll need to look at doing a related undergraduate degree before progressing onto a more specialist course. Whether that\u2019s a degree in computer science, statistics, electrical engineering, mathematics or physical sciences is up to you.<\/p>\n\n\n\n

It\u2019s also possible to enter the profession without a degree whatsoever. However, you\u2019ll need to prove your worth by showing employers that you hold the necessary skills for the role.<\/p>\n\n\n\n

Getting into university<\/h3>\n\n\n\n
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Getting into university requires you to have various qualifications to meet entry requirements. Universities are all able to set their own entry requirements too. So, what is enough for one university doesn\u2019t necessarily mean that it will be accepted at another.<\/p>\n\n\n\n

However, most commonly the entry requirements will be as followed:<\/p>\n\n\n\n