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- Tasks: Design and develop cutting-edge machine learning models to tackle real-world challenges.
- Company: Join a dynamic scale-up in Manchester focused on AI and machine learning innovations.
- Benefits: Enjoy hybrid work options and be part of a forward-thinking team.
- Why this job: Work on impactful projects and collaborate with talented professionals in a vibrant tech culture.
- Qualifications: Bachelor’s or Master’s in relevant fields; strong Python skills and experience with ML frameworks required.
- Other info: Ideal for those passionate about AI and eager to make a difference.
The predicted salary is between 36000 - 60000 £ per year.
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Direct message the job poster from Oakwell Hampton Group
Senior Consultant | Machine Learning & AI Specialist in the North
Job Title: Machine Learning Engineer
Location: Manchester (Hybrid)
I’m working with one of the most exciting scale ups in the north, who are building solutions that leverage the power of AI and machine learning to solve real-world problems. They’re on the look out for a talented and motivated Machine Learning Engineer to help drive the development of their AI-driven products.
Key Responsibilities:
- Design, develop, and deploy machine learning models for various applications.
- Collaborate with data scientists and engineers to preprocess, clean, and prepare data for modelling.
- Optimize machine learning algorithms for performance and scalability.
- Develop and maintain model pipelines, monitoring systems, and infrastructure.
- Research and implement state-of-the-art machine learning techniques and tools.
- Evaluate model performance and make adjustments to improve accuracy and efficiency.
What do we want from you?
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field is advantageous.
- Proven experience working as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python (with libraries such as TensorFlow, PyTorch, scikit-learn).
- Experience with machine learning frameworks, deep learning, and NLP (Natural Language Processing).
- Solid understanding of data structures, algorithms, and statistical methods.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
- Ability to work with large datasets, using tools such as SQL, Hadoop, or Spark.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to present complex ideas to non-technical audiences.
If you’re passionate about AI and machine learning and want to be part of a forward-thinking team, we’d love to hear from you!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Data Infrastructure and Analytics and Technology, Information and Media
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Machine Learning Engineer employer: Oakwell Hampton Group
Contact Detail:
Oakwell Hampton Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your practical skills to the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and machine learning. Being able to discuss state-of-the-art techniques during your conversation will show your passion and commitment to staying updated in this fast-evolving field.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms like AWS, GCP, or Azure. Be ready to explain how you've utilized these tools in past projects, as this is crucial for the role and will set you apart from other candidates.
✨Tip Number 4
Practice explaining complex machine learning concepts in simple terms. Since strong communication skills are emphasized in the job description, being able to convey technical ideas to non-technical audiences will be a big plus during your interview.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and AI. Focus on projects where you've designed, developed, or deployed machine learning models, and mention specific programming languages and frameworks you’ve used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Discuss why you're excited about the opportunity with the company and how your skills align with their needs. Mention any specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: Be specific about your technical skills in Python, machine learning frameworks, and cloud platforms. If you have experience with tools like TensorFlow, PyTorch, or Docker, make sure to highlight these in your application.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, data structures, and statistical methods. Be ready to discuss your problem-solving approach and how you’ve optimized models in past projects.
How to prepare for a job interview at Oakwell Hampton Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and relevant libraries like TensorFlow and PyTorch. Bring examples of projects where you've successfully implemented machine learning models, as this will demonstrate your hands-on expertise.
✨Understand the Company’s AI Vision
Research the company’s products and their applications of AI and machine learning. Being able to articulate how your skills align with their goals will show that you are genuinely interested in contributing to their mission.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as this will help interviewers gauge your analytical skills and how you approach complex challenges.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex concepts in simple terms. This will be particularly important when discussing your work with non-technical stakeholders, showcasing your ability to bridge the gap between tech and business.
