At a Glance
- Tasks: Develop and deploy machine learning models while collaborating with a dynamic team.
- Company: Join a forward-thinking data and AI team in a collaborative environment.
- Benefits: Competitive salary, hands-on experience, mentorship, and career growth opportunities.
- Other info: Embrace a diverse workplace that values inclusion and creativity.
- Why this job: Dive into the world of AI and make a real impact with innovative projects.
- Qualifications: Bachelor’s degree in a related field and some experience in machine learning or software development.
The predicted salary is between 28000 - 35000 £ per year.
We are seeking a motivated and technically curious Machine Learning Engineer to join our growing data and AI team. This entry-level role focuses on supporting the development, testing, and deployment of machine learning models and data-driven solutions. The ideal candidate has a strong foundation in programming, data analysis, and a passion for building intelligent systems.
Key Responsibilities
- Assist in developing, training, and evaluating machine learning models
- Perform data preprocessing, cleaning, and feature engineering
- Work with datasets to build predictive and analytical solutions
- Collaborate with data scientists and engineers on ML projects
- Support model deployment and integration into applications
- Monitor model performance and contribute to optimization efforts
- Document code, workflows, and model outputs
- Stay updated with emerging trends in machine learning and AI
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- 0–1 year of experience in machine learning, data science, 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 statistical concepts
- Knowledge of data structures and data processing 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 deep learning, NLP, or computer vision concepts
- Understanding of version control systems (e.g., Git)
Skills
- Machine Learning Fundamentals
- Python & ML Libraries
- Data Processing & Analysis
- Problem Solving & Analytical Thinking
- Collaboration & Communication
What We Offer
- Competitive, market-aligned compensation
- Hands-on experience with real-world ML and AI projects
- Structured training and mentorship programs
- Career growth opportunities in AI and data domains
- Collaborative and innovation-driven work environment
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.
Machine Learning Engineer in Shrewsbury employer: Fortray Global Service Limited
Join our dynamic team as a Machine Learning Engineer, where you'll gain hands-on experience in developing cutting-edge AI solutions within a collaborative and innovative environment. We prioritise employee growth through structured training and mentorship, ensuring you have the tools to advance your career in the exciting fields of AI and data science. Located in a vibrant area, we offer competitive compensation and a commitment to diversity and inclusion, making us an excellent employer for those seeking meaningful and rewarding work.
Contact Details:
Fortray Global Service Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Shrewsbury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and ML libraries. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and be ready to discuss your past projects and how you tackled challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals to join our team. Plus, it’s a great way to ensure your application gets noticed directly by us.
We think you need these skills to ace Machine Learning Engineer in Shrewsbury
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see that you're not just ticking boxes but genuinely excited about building intelligent systems and solving problems.
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the role. Focus on your programming knowledge, any projects you've worked on, and your familiarity with tools like Python and ML libraries. We love seeing how you can contribute!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see your potential as a Machine Learning Engineer.
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. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Fortray Global Service Limited
✨Know Your ML Basics
Brush up on your machine learning fundamentals before the interview. Be ready to discuss algorithms, data preprocessing techniques, and model evaluation metrics. This will show your technical curiosity and foundational knowledge.
✨Showcase Your Projects
Prepare to talk about any relevant projects or internships you've worked on. Highlight your experience with Python and libraries like TensorFlow or PyTorch. Sharing specific examples of how you contributed to a project can really impress the interviewers.
✨Ask Smart Questions
Come prepared with questions about the team’s current projects or the technologies they use. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
✨Demonstrate Team Spirit
Since collaboration is key in this role, be ready to discuss how you've worked in teams before. Share examples of how you communicated effectively and contributed to group success, as this will highlight your teamwork abilities.
