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- Tasks: Design, build, and deploy cutting-edge machine learning models in a collaborative team.
- Company: Tech-focused organisation driving AI and data solutions across various industries.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Why this job: Join a fast-paced environment and make an impact with innovative AI technologies.
- Qualifications: Degree in Computer Science or related field; strong Python and ML library skills.
- Other info: Exciting career development opportunities in a dynamic tech landscape.
The predicted salary is between 60000 - 90000 £ per year.
My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from their offices in Reading.
The Machine Learning Engineer will ideally have the following attributes:
- Knowledge / experience in Machine Learning, Artificial Intelligence, or Data Science
- A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar
- Strong programming skills in Python
- Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
- Experience working with large datasets and building data pipelines
- Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial
- Experience deploying machine learning models into production environments
- Understanding of APIs, data processing frameworks, and software development best practices
- Ability to work both independently and as part of a collaborative technical team
- Excellent communication skills (both verbal and written)
- Keen to develop technically and grow within a fast-paced environment
The Machine Learning Engineer role will involve:
- Working within the existing data and engineering teams to develop machine learning solutions
- Designing, building, and deploying machine learning models
- Preparing and processing datasets for model training and evaluation
- Improving model performance through experimentation and optimisation
- Collaborating with software engineers to integrate ML solutions into applications
- Researching and implementing new machine learning techniques where appropriate
If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.
Machine Learning Engineer in Slough employer: Halian Technology Limited
Contact Detail:
Halian Technology Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common machine learning concepts and be ready to discuss your past experiences. Practising coding challenges can also help you feel more confident when it comes to technical assessments.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to submit your application and get noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning, AI, and Data Science. We want to see how your skills match the job description, so don’t be shy about showcasing your programming prowess in Python and any relevant projects you've worked on!
Showcase Your Projects: If you've worked with machine learning libraries like TensorFlow or PyTorch, include specific examples of projects where you used them. We love seeing real-world applications of your skills, so share what you've built and how it made an impact!
Be Clear About Your Availability: When you apply, let us know when you can start and what your salary expectations are. This helps us understand if we’re on the same page right from the get-go, making the process smoother for everyone involved.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Halian Technology Limited
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and tools. Be ready to discuss your experience with Python, TensorFlow, or PyTorch, and have examples of projects where you've used these technologies. This shows you're not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Whether it's optimising a model or working with large datasets, having a few solid examples will demonstrate your analytical thinking and ability to overcome obstacles.
✨Collaboration is Key
Since the role involves working with both data and engineering teams, be ready to discuss how you've collaborated in the past. Highlight any experiences where you worked with software engineers or other stakeholders to integrate machine learning solutions into applications.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s current projects or their approach to machine learning. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.