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- Tasks: Design and implement AI solutions to tackle real-world challenges.
- Company: Join Cyber Infrastructure, a leader in innovative AI technology.
- Benefits: Competitive salary, professional growth, and potential remote work options.
- Why this job: Be at the forefront of AI advancements and make a tangible impact.
- Qualifications: 2-6 years in AI, strong programming skills, and a passion for innovation.
- Other info: Dynamic team environment with opportunities for career advancement.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking a skilled and passionate AI Engineer with 2 to 6 years of experience to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning technologies. You will work on building intelligent systems and solutions that drive business outcomes, ranging from predictive models to real-time AI-driven applications.
Duties & Responsibilities:
- Design, develop, and implement AI/ML algorithms and models to solve business challenges.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
- Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
- Develop data pipelines and preprocessing methods for model training and deployment.
- Monitor, evaluate, and improve the performance of AI models and systems.
- Conduct experiments to validate hypotheses and enhance AI system capabilities.
- Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
- Create technical documentation for AI models and workflows.
Required Skills & Qualifications:
- Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, R, or Java.
- Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
- Strong understanding of data structures, algorithms, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
- Knowledge of MLOps tools and practices for model deployment and monitoring.
- Ability to work with large datasets and build scalable AI solutions.
- Strong problem-solving and critical-thinking skills.
- Excellent communication and collaboration skills.
- Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
- Exposure to big data technologies (e.g., Hadoop, Spark).
- Knowledge of model interpretability and explainability methods.
Work Location: London - England
Working Model: Work from Office. You should be open to working on-site at our locations or client sites. Remote work may be available - apply now and check with the recruiter.
Apply from Locations: London / Birmingham / Manchester / Liverpool / Leeds / Sheffield / Teesside / Bristol / Bournemouth / Newcastle / Leicester
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
Overview of AI Engineer Job employer: Cyber Infrastructure (CIS)
Contact Detail:
Cyber Infrastructure (CIS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Overview of AI Engineer Job
✨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 the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're personal or professional. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and coding challenges. Practising with friends or using online platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Overview of AI Engineer Job
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and machine learning. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've got any personal or professional projects related to AI, make sure to mention them. We’re keen on seeing practical applications of your skills, so include links or descriptions of your work!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Cyber Infrastructure (CIS)
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and deep learning technologies. Be ready to discuss specific frameworks like TensorFlow or PyTorch, and have examples of projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of specific challenges you faced, the solutions you implemented, and the outcomes. This will demonstrate your critical-thinking abilities and how you can contribute to their team.
✨Collaborate Like a Pro
Since collaboration is key in this role, be ready to share experiences where you've worked with cross-functional teams. Highlight your communication skills and how you’ve integrated AI solutions into existing systems, as this will show you're a team player.
✨Stay Updated on Trends
Research the latest advancements in AI and machine learning before your interview. Being able to discuss current trends or recent breakthroughs will show your passion for the field and your commitment to continuous learning.
