AI and Optimisation Engineer (Metaheuristic) in Slough
AI and Optimisation Engineer (Metaheuristic)

AI and Optimisation Engineer (Metaheuristic) in Slough

Slough Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop disruptive AI technologies and optimise algorithms for real-time imaging.
  • Company: Exciting tech company based in London with a hybrid work culture.
  • Benefits: Flexible working, share options, competitive salary, and bonuses.
  • Why this job: Join a cutting-edge team and make an impact in AI and optimisation.
  • Qualifications: Degree or PhD in relevant field; experience in Metaheuristic optimisation and AI/ML techniques.
  • Other info: Great career growth opportunities in a dynamic environment.

The predicted salary is between 36000 - 60000 £ per year.

Based Central in London, this hybrid opportunity (3 days per week) exists for you to join an exciting company. This position will focus on the development of disruptive technologies for HPC, AI/ML technologies for real-time imaging.

This role will focus on algorithms development to optimise metaheuristic optimisation and also develop code and test it. The successful applicant will have a good relevant degree or PhD with proficiency in algorithm software development utilising Python, C++ or C#, along with:

  • A passion for AI with up-to-date knowledge of current approaches and industry trends.
  • Experience in metaheuristic optimisation (essential).
  • Experience with AI/ML techniques.
  • Exposure to cloud-based data pipelines for large-scale test data processing for data centres.

The successful candidate could be straight out of a PhD or someone with extensive experience; there is a very wide salary band on offer for this, so please do apply if you have any experience in metaheuristic optimisation or experience of AI lead, as this role can flex between the two.

The company offers excellent benefits, share options, flexible working and a bonus. Please apply for more information.

AI and Optimisation Engineer (Metaheuristic) in Slough employer: Logik Source

Join a forward-thinking company in the heart of London, where innovation meets flexibility. As an AI and Optimisation Engineer, you'll thrive in a hybrid work environment that promotes a collaborative culture and offers extensive growth opportunities in cutting-edge technologies. With competitive benefits, share options, and a focus on employee development, this is an ideal place for those passionate about AI and optimisation to make a meaningful impact.
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Contact Detail:

Logik Source Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI and Optimisation Engineer (Metaheuristic) in Slough

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals on LinkedIn. 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 projects, especially those related to AI, ML, and metaheuristic optimisation. 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 coding challenges and be ready to discuss your past projects in detail. Confidence is key, so let your passion for AI shine through!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people. So, get clicking!

We think you need these skills to ace AI and Optimisation Engineer (Metaheuristic) in Slough

Algorithm Software Development
Python
C++
C#
Metaheuristic Optimisation
AI/ML Techniques
Cloud-based Data Pipelines
Real-time Imaging
HPC (High-Performance Computing)
Data Processing
Passion for AI
Knowledge of Industry Trends

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Metaheuristic optimisation and AI/ML techniques. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and your understanding of current industry trends. Let us know why you’re excited about this opportunity and how you can contribute to our team.

Showcase Your Technical Skills: Since this role involves algorithm development and coding, make sure to mention your proficiency in Python, C++, or C#. If you’ve worked on any relevant projects, include those details to give us a clearer picture of your capabilities.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!

How to prepare for a job interview at Logik Source

✨Know Your Algorithms

Brush up on your knowledge of metaheuristic optimisation algorithms. Be ready to discuss specific algorithms you've worked with and how they apply to real-world problems. This shows your passion for AI and your ability to contribute to the company's goals.

✨Showcase Your Coding Skills

Prepare to demonstrate your coding abilities in Python, C++, or C#. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Make sure you can explain your thought process clearly while coding.

✨Stay Updated on Industry Trends

Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss current approaches and technologies will impress the interviewers and show that you're genuinely interested in the field.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's projects and future directions in AI and HPC. This not only demonstrates your interest but also helps you gauge if the company aligns with your career aspirations.

AI and Optimisation Engineer (Metaheuristic) in Slough
Logik Source
Location: Slough
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  • AI and Optimisation Engineer (Metaheuristic) in Slough

    Slough
    Full-Time
    36000 - 60000 £ / year (est.)
  • L

    Logik Source

    50-100
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