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Do you like the sound of combining data analysis and software engineering to enable machines to learn? Machine learning engineers are responsible for creating programmes and algorithms that enable machines to take actions without being directed. Experience the journey of a Machine Learning Engineer in this interview with Islington resident Stanley Mwangi and explore further career information below. 

What do Machine Learning Engineers do? 

Machine learning engineers are responsible for creating the code and programming which enable machines to complete actions without being directed. They provide computers with the ability to learn and improve from their experience without being constantly programmed.

Machine Learning Engineering also has many cross-overs with other areas of work such as data mining, data analysis, engineering, computational statistics and mathematics. Machine learning engineers collaborate with data engineers to create programming whilst also having end-to-end understanding of applications. They must analyse large complex datasets and constantly research and evolve their work. 

Soft skills:  

  • Strong mathematical skills  
  • Excellent communication skills – written and verbal 
  • Problem-solving   
  • Attention to detail  
  • Analytical skills   
  • Innovation and creativity   

Hard skills:  

  • Experience of coding languages (such as, C++ and Java) 
  • Python skills and knowledge  
  • Interest and knowledge of machine learning evaluation metrics and best practice 
  • Ability to learn new programmes quickly, such as Linux SysAdmin, Etcd, zookeeper, consul
  • A commitment to personal development and learning 

Typical progression pathway  

Many people choose to complete an internship during their degree which helps them to experience machine learning and if this is an area they wish to develop in further. Once you’ve studied a degree or masters level course in an area connected to machine learning there are opportunities for recent graduates to begin developing in the career in an entry level role.

You may start off as a machine learning engineer apprentice or junior before progressing to mid-level roles where you will have more responsibility, such as managing clients and a team. You can then go on to progress into a senior level role, with large multinational technology companies being able to offer the best career progression. 

Routes into a career into Machine Learning 

  • Degree, Masters and PhD in a relevant discipline such as; computer science, statistics, mathematics, electrical engineering. 
  • Masters level apprenticeship course such as via Founders and Coders Level 7 Machine Learning 
  • Bootcamps such as Teeside University Skills Bootcamp in Artificial Intelligence and Machine Learning. 

Salary expectations 

Entry-level salaries start at around £35,000. This could rise to £40,000-£55,000 at mid level. 

Experienced, high-level machine learning engineers can earn from £80,000-£90,000 which can rise to over £150,000 per annum if you are working in a senior position at a large multinational company. 

Top industries to explore: 

  • Technology   
  • Fintech   
  • Healthcare   
  • Engineering 
  • Internet Security 
  • Auto and transport industries