Top 6 Artificial Intelligence Jobs

Artificial Intelligence Jobs

Did you know that by 2025, 80% of retailers are expected to start using artificial intelligence (AI) to help run their businesses? AI, which is technological innovation for future allows machines to think and act like humans, is changing the work culture for many companies. From making supply chains more efficient to handling everyday tasks automatically, AI is helping industrial organizations to save time and money.

AI is also being used to improve customer service, like answering questions quickly or giving better product suggestions. As the technology becomes more advanced, we are seeing it used in many industries, including healthcare, finance, and manufacturing.

In fact, a report by Tech Nation says that by the year 2035, AI could add around £630 to the UK’s economy. That’s a huge boost, showing just how powerful and important AI could be for the future.

AI is not just about robots or big machines — it’s in apps on our phones, in online shopping, in how deliveries are planned, and even in hospitals helping doctors make better decisions. As more businesses understand how AI can help, it’s likely we’ll see it becoming a normal part of everyday life.

However, it’s also important to use AI responsibly. People need to be trained to work with this technology, and we must make sure it’s used in fair and ethical ways.

AI is here to stay, and it’s going to play a big role in shaping the future of work, business, and even our daily lives.

Future of Artificial Intelligence:

Many people feel insecure that technologies like machine learning, robotics, and natural language processing will take over human jobs. But experts say that the nature of jobs will mostly change, but not completely disappear.

According to Muhammad Shahid Hanif, the Chief Technology Officer and co-founder of Shufti Pro (a company that provides identity checks using biometrics), “By 2025, AI might remove 85 million jobs, but it will also create 97 million new ones.” This means that there will be 12 million more jobs in total.

AI can help by taking over boring, repetitive tasks. This allows people to focus on more important and creative work. As AI becomes more common, there will be a growing need for skilled workers who can build, manage, and utilize AI systems for company’s productivity. So, learning about AI and gaining skills in this area is becoming more valuable than ever.

So, the aspirants who like to make career in the technology world and artificial intelligence, here are just a few top artificial intelligence jobs options you might want to think about:

Top 6 Artificial Intelligence Jobs in UK

1. Data Scientist:

Data scientist’s role is a sort of like extracting butter out of buttermilk. Here the buttermilk is data on that as a data scientist you can use descriptive analytics to extract butter or to extract data insights or you can train a machine learning model to perform predictive analytics. You will use software, AI and machine learning to analyze and interpret data.

An AI researcher’s job is to discover new ways for AI to solve problems. After they make these discoveries, their ideas are usually given to data scientists. The data scientists then use those ideas in real-life situations.

This means data scientists play an important role. They help understand the data and use it to build and improve AI systems. Their work helps turn research into useful tools and solutions.

Skills Required for Data Scientist:

Here you need a strong foundation in programming languages such as Python. You obviously need to have strong mathematics and statistics fundamental and you need to be good in communication because you will be dealing with business stakeholders a lot and you need to convey your data insights. A degree in statistics or mathematics, proficiency in programming languages, data visualization tools and machine learning are required for data scientist.

Earning of Data Scientist:

Salaries in the United Kingdom range from £32,000 rising to £80,000 depending on experience and expertise.

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2. Machine Learning Engineer (MLE):

Machine Learning Engineers design and implement machine learning algorithms and models. Data scientists work with information (called “data”) and use what AI researchers have learned from studying how humans think and learn. On the other hand, machine learning is a type of technology that can find patterns in data and make smart predictions — all without being given step-by-step instructions. Instead, it learns from the data itself. You will work with data scientists on systems that learn and improve from experience. Machine Learning Engineer is a combination of data scientist and software engineer.

Skills Required for Machine Learning Engineer:

A strong background in computer science and programming is crucial, as is the ability to work with big data and knowledge of machine learning frameworks and programming languages such as Python.

Earning of Machine Learning Engineers:

Salaries of Machine Learning Engineer in the United Kingdom range from £35,000 to £80,000, depending on experience and expertise.

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3. Robotics Engineer:

These engineers create robotic systems used to perform human and non-human duties, working on both the hardware and software components. You will be designing, building, maintaining and repairing models, as well as conducting research and developing new applications for robots.

Skills Required for Robotics Engineer:

A degree in mechanical engineering, robotics or a related field. Proficiency in programming languages, knowledge of control systems and expertise in robotics design are essential. Attention to detail and complex problem-solving skills will also be an advantage.

Earning of Robotics Engineers:

Salaries start at £28,000, rising to around £55,000. The salaries depend mostly on three factors such as your skills and experience, your location and company.

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4. Natural Language Processing Engineer (NLP Engineer):

Using machine learning and linguistics to develop computer systems that can understand and generate human language. The NLP engineers are those who are responsible for designing systems that can understand and process human language. They work with speech patterns and help improve AI’s ability to recognize and respond to speech. Their job also includes programming tools that allow technology to analyze natural language data, choosing the right datasets for language learning, and selecting the best algorithms and tools for each project. The NLP engineers also need to keep up with the latest trends in machine learning and AI.

Skills Required for Natural Language Processing Engineer:

A degree in computer science and a post-graduate qualification in NLP is required in this field. For higher-level jobs, companies often prefer or require a master’s degree in subjects like data science or artificial intelligence, or even a Ph.D. focused on NLP. In some cases, if you have enough work experience, that might be enough instead of an advanced degree, depending on the company.

Earnings of NLP Engineer:

Salary range starts from £55,000, rising to £80,000 depending on the company, position level, your skills and experience.

5. AI Ethics Specialists:

With the growing importance of ethical considerations affecting AI, specialists are needed to ensure systems are developed and deployed responsibly. Working at the intersection of technology, policy and ethics, you will assess the impact of AI on society, privacy and fairness. You will collaborate with engineers, researchers, policy makers, ethicists and advocates to promote transparency, accountability and inclusivity in all AI applications.

Skills Required for AI Ethics Specialists:

A background in ethics, law or a related field will be valuable, as will strong analytical and communication skills, a deep understanding of AI technologies and knowledge of regulatory frameworks.

Earning of AI Ethics Specialists:

Salaries start from £50,0000 and rising to £90,000

6. Software Architect:

The role of the Software Architect is to design, develop, maintain the software by applying technologies and practices from computer science, project management, engineering, application domains, interface design, digital asset management and other fields. Software Architect Engineering is concerned with the conception, development and verification of a software system.

Skills Required for Software Architect:

To become a software architect, you usually need a bachelor’s degree in computer engineering or a similar field. You also need to understand how software is developed and be good at coding. Besides, Knowledge of one or more programming languages, such as Java, Python, JavaScript, Ruby, Rust, and C is desirable.

Earnings of Software Architect:

Salary range starts from £40,000, rising to £90,000 depending on the company, position level, your skills and experience.

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