At a Glance
- Tasks: Drive AI integration into products and develop innovative machine learning solutions.
- Company: Leading tech company with a focus on AI and collaboration.
- Benefits: Flexible working, unlimited holiday, competitive pension contributions.
- Why this job: Transform complex AI concepts into real-world applications and make an impact.
- Qualifications: Degree in Computer Science or related field; experience in AI/ML development.
- Other info: Join a passionate team and enjoy excellent career growth opportunities.
The predicted salary is between 28800 - 48000 Β£ per year.
A leading company is looking for an AI Engineer to drive the integration of AI and machine learning into their products. This role sits at the intersection of AI research, product strategy, and engineering, transforming complex AI concepts into real-world applications.
Key Responsibilities:
- Develop and integrate AI models and algorithms into scalable production systems.
- Research and evaluate emerging AI trends to enhance product capabilities.
- Identify opportunities to leverage AI for business and user needs.
- Prototype and deploy AI-driven features aligned with product goals.
- Work with cross-functional teams to ensure successful AI implementation.
- Translate business requirements into technical solutions.
- Manage relationships with AI vendors and industry partners.
What You'll Bring:
- Degree in Computer Science, AI, ML, or a related field.
- Experience in developing and deploying AI/ML solutions.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong understanding of LLMs, NLP, and machine learning algorithms.
- MLOps knowledge and experience with version control systems.
- Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript).
- Ability to explain AI concepts to technical and non-technical stakeholders.
- Problem-solving mindset and ability to lead AI-driven initiatives.
Bonus Skills:
- Experience with AWS and cloud-based AI solutions.
- Knowledge of React and front-end development.
- Familiarity with workplace learning technologies.
Work-Life Balance:
- Flexible working arrangements.
- Unlimited Holiday: Take the time you need.
- Pension Scheme: Competitive employer contributions.
- Collaborative Culture: Work with a passionate, innovative team.
Apply now to avoid missing out on this opportunity!
AI Engineer in London employer: Ronald James Ltd.
Contact Detail:
Ronald James Ltd. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Engineer in London
β¨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meet-ups, and join online forums. The more connections you make, the better your chances of landing that dream job.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and contributions. This is your chance to demonstrate what you can do beyond just a CV.
β¨Tip Number 3
Donβt shy away from reaching out directly to companies youβre interested in. A quick call or email can set you apart from other candidates. Plus, we love it when you apply through our website!
β¨Tip Number 4
Prepare for interviews by brushing up on both technical and soft skills. Be ready to explain complex AI concepts in simple terms β it shows you can communicate effectively with all stakeholders.
We think you need these skills to ace AI Engineer in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML solutions and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 engaging and make sure to mention specific skills that match the job description.
Showcase Your Projects: If you've got any personal or professional projects related to AI, don't hesitate to showcase them! We love seeing real-world applications of your skills, so include links or descriptions of your work in your application.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the easiest way for us to receive your application and ensures youβre considered for the role. Plus, it shows you're keen to join our awesome team!
How to prepare for a job interview at Ronald James Ltd.
β¨Know Your AI Stuff
Make sure you brush up on the latest AI trends and technologies. Be ready to discuss your experience with AI models, algorithms, and frameworks like TensorFlow or PyTorch. Showing that youβre up-to-date will impress the interviewers!
β¨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using AI solutions in the past. Think about specific projects where you identified opportunities for AI integration and how you translated business needs into technical solutions.
β¨Communicate Clearly
Youβll need to explain complex AI concepts to both technical and non-technical stakeholders. Practice simplifying your explanations and be ready to demonstrate your ability to bridge the gap between tech and business.
β¨Be Ready to Collaborate
This role involves working with cross-functional teams, so highlight your teamwork experiences. Share examples of how youβve successfully collaborated with others to implement AI-driven features and ensure everyone is on the same page.