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- Tasks: Support the development and deployment of AI and machine learning solutions.
- Company: Join a dynamic team at a leading AI-focused company.
- Benefits: Competitive salary, hands-on experience, mentorship, and career growth opportunities.
- Why this job: Dive into real-world AI projects and make a difference in technology.
- Qualifications: Bachelor’s degree in a related field and basic programming skills.
- Other info: Collaborative environment with a focus on innovation and diversity.
The predicted salary is between 28000 - 38000 £ per year.
We are seeking a motivated and technically curious AI Engineer to join our growing team. This entry-level role focuses on supporting the development, testing, and deployment of AI and machine learning solutions. The ideal candidate has a strong foundation in programming and data concepts, along with a passion for building intelligent systems.
Key Responsibilities
- Assist in designing and developing machine learning and AI models
- Support data preprocessing, cleaning, and feature engineering tasks
- Work with datasets to build and evaluate predictive models
- Collaborate with data scientists and engineers on AI projects
- Help deploy models into development or production environments
- Monitor model performance and contribute to improvements
- Document code, models, and workflows
- Stay updated with emerging trends in AI and machine learning
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- 0–1 year of experience in AI, machine learning, or software development (internships included)
- Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn
- Basic understanding of machine learning algorithms and data structures
- Knowledge of data handling and preprocessing techniques
- Strong analytical and problem-solving skills
- Good communication and teamwork abilities
Preferred Qualifications
- Exposure to cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform
- Familiarity with SQL and database systems
- Basic knowledge of APIs and software development practices
- Exposure to NLP, computer vision, or deep learning concepts
- Relevant certifications in AI or cloud technologies
Skills
- Machine Learning Fundamentals
- Python & AI Libraries
- Data Processing & Analysis
- Problem Solving & Analytical Thinking
- Collaboration & Communication
What We Offer
- Competitive, market-aligned compensation
- Hands-on experience with real-world AI projects
- Structured training and mentorship programs
- Career growth opportunities in AI and data domains
- Collaborative and innovation-driven work environment
Equal Opportunity Statement
We are an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration without regard to race, religion, gender, age, disability, or any other protected status.
Artificial Intelligence Engineer in England employer: Fortray Global Service Limited
Contact Detail:
Fortray Global Service Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. You never know who might have a lead on a job or can give you insider tips.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for AI and machine learning. Tailor your approach to each company’s vibe.
✨Tip Number 4
Prepare for interviews by brushing up on common AI concepts and algorithms. Practice explaining your projects clearly, as communication is key in teamwork and collaboration.
We think you need these skills to ace Artificial Intelligence Engineer in England
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you're not just ticking boxes but genuinely excited about building intelligent systems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the role. Highlight relevant skills and experiences that align with our job description. We love seeing how your background fits into what we do at StudySmarter!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that’s easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Fortray Global Service Limited
✨Know Your AI Basics
Brush up on your understanding of machine learning algorithms and data structures. Be ready to discuss how you’ve applied these concepts in your projects or studies, even if it’s just from your coursework or internships.
✨Showcase Your Coding Skills
Since proficiency in Python is key, practice coding problems that involve AI libraries like TensorFlow or PyTorch. You might be asked to solve a problem on the spot, so being comfortable with coding will help you shine.
✨Prepare for Teamwork Questions
Collaboration is crucial in this role, so think of examples where you’ve worked in a team. Be ready to explain your role, how you communicated with others, and what you learned from those experiences.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in AI and machine learning. Mention any recent developments or technologies you find exciting during the interview to show your passion and curiosity for the field.