Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy advanced AI systems that solve real-world challenges.
- Company: Join an innovative organisation leading the way in artificial intelligence.
- Benefits: Enjoy a competitive salary, hybrid work options, and professional development opportunities.
- Why this job: Work on impactful projects in a collaborative environment that fosters innovation.
- Qualifications: Degree in Computer Science or related field; strong programming skills in Python required.
- Other info: Experience with edge AI and MLOps practices is a plus.
The predicted salary is between 65000 - 75000 £ per year.
Location: Hertfordshire (Hybrid)
Salary: £65,000-75,000 + Benefits
About the Role:
Our client, an innovative organisation at the forefront of artificial intelligence, is seeking a skilled AI Engineer to join their team. This is an exciting opportunity to work on cutting-edge projects that solve complex challenges and transform industries.
Role Overview:
The AI Engineer will be responsible for designing, building, and deploying advanced AI systems that deliver real-world impact. The ideal candidate will have expertise in machine learning, model deployment, and system integration, combined with a passion for leveraging AI to solve meaningful problems.
Key Responsibilities:
- Design, develop, and deploy scalable AI systems for production environments.
- Build and fine-tune models for natural language processing, computer vision, or predictive analytics.
- Collaborate with data scientists and engineers to optimise models for performance and reliability.
- Develop automated pipelines for data ingestion, model training, and inference.
- Implement robust monitoring and optimisation processes to ensure AI systems meet key business objectives.
- Stay informed on advancements in AI and integrate the latest technologies into solutions.
Key Skills & Experience:
- Strong programming skills in Python (experience with TensorFlow, PyTorch, or similar frameworks).
- Expertise in deploying models on cloud platforms (Azure) or containerised environments (Docker, Kubernetes).
- Proficiency in machine learning algorithms and advanced AI techniques, including transformer-based architectures.
- Hands-on experience with large language models (e.g., GPT, Langchain) or custom-built AI systems.
- Familiarity with DevOps tools and practices for deploying and managing AI systems.
- Strong problem-solving skills and the ability to design scalable, reliable AI solutions.
- A degree in Computer Science, AI, Data Science, or a related field (Master's preferred).
Desirable Experience:
- Experience with edge AI or optimising models for low-latency environments.
- Applied AI in industries such as finance or healthcare.
- Building systems for automated decision-making or recommendation engines.
- Knowledge of MLOps practices and frameworks for lifecycle management.
What's on Offer:
- The opportunity to work on impactful AI projects with real-world applications.
- A competitive salary of £65,000-75,000 per annum and a comprehensive benefits package.
- Opportunities for professional growth and development.
- Access to the latest tools, technologies, and learning resources.
- A collaborative environment where innovation is encouraged.
How to Apply:
If you're passionate about building AI systems that make a difference, please send your CV across today!
AI Engineer employer: Be Technology
Contact Detail:
Be Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI technologies, especially those related to natural language processing and computer vision. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or conferences. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for job openings.
✨Tip Number 3
Showcase your hands-on experience with relevant tools and frameworks like TensorFlow, PyTorch, and Azure. Consider contributing to open-source projects or building your own AI applications to demonstrate your skills practically.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems related to AI. Being able to articulate your thought process and problem-solving approach will set you apart from other candidates.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the AI Engineer role. Emphasise your programming skills in Python, experience with machine learning frameworks like TensorFlow or PyTorch, and any hands-on projects involving large language models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your background makes you a perfect fit for the position. Mention specific projects you've worked on that demonstrate your ability to design and deploy AI systems.
Highlight Relevant Projects: Include details about any relevant projects in your application. Discuss your experience with model deployment on cloud platforms, automated pipelines, and any collaboration with data scientists or engineers to optimise AI models.
Showcase Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI, machine learning, or DevOps practices. This shows your commitment to staying updated with advancements in the field.
How to prepare for a job interview at Be Technology
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and any experience you have with frameworks like TensorFlow or PyTorch. Bring examples of projects where you've deployed models on cloud platforms or containerised environments, as this will demonstrate your hands-on expertise.
✨Understand the Role's Responsibilities
Familiarise yourself with the key responsibilities of the AI Engineer position. Be ready to explain how your previous experiences align with designing, building, and deploying scalable AI systems, as well as collaborating with data scientists and engineers.
✨Stay Updated on AI Trends
Research the latest advancements in AI and be prepared to discuss how you can integrate these technologies into your work. Showing that you're proactive about staying informed will impress interviewers and highlight your passion for the field.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think of specific challenges you've encountered in past projects and how you overcame them, particularly in relation to optimising models or developing automated pipelines.
