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- Tasks: Design and implement advanced AI solutions using ML and NLP techniques.
- Company: Leading tech firm focused on innovation and collaboration.
- Benefits: Private healthcare, 25 days leave, pension scheme, and £2,000 learning budget.
- Why this job: Join a fast-paced environment and make a real impact in AI innovation.
- Qualifications: Proficient in Python with experience in ML and NLP frameworks.
- Other info: Great career growth opportunities and a dynamic team culture.
The predicted salary is between 36000 - 60000 £ per year.
Employment Type: Permanent
Private healthcare and dental insurance
25 days annual leave plus bank holidays
Pension scheme with up to 8% employer contribution
£2,000 annual learning and development budget
Season ticket loan
Annual performance-based bonus
About the Role: Our technology client is seeking a skilled AI Engineer to design and implement advanced AI solutions for their core platform. You will work on cutting-edge projects that leverage Machine Learning (ML) and Natural Language Processing (NLP) techniques to solve complex, real-world challenges. This is an excellent opportunity for someone passionate about AI and innovation to thrive in a collaborative and fast-paced environment.
Key Responsibilities:
- Design, implement, and optimise ML and NLP algorithms for tasks such as sentiment analysis, text summarisation, and predictive modelling.
- Build and maintain scalable data pipelines, APIs, and AI architectures to support production-ready solutions.
- Collaborate with engineering teams to integrate AI models into existing systems, ensuring seamless performance and scalability.
- Work closely with cross-functional teams, including product managers and domain experts, to identify and implement tailored AI solutions.
- Continuously monitor, troubleshoot, and refine models to improve performance, accuracy, and efficiency.
- Stay updated with the latest advancements in AI and incorporate innovative techniques into projects.
What We're Looking For:
- Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with NLP frameworks such as Hugging Face or spaCy.
- Strong understanding of data handling, including SQL, NoSQL, and building data processing pipelines.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.
- Bonus: Experience in production AI/ML environments and publications in AI research.
AI Engineer in London employer: Eliden
Contact Detail:
Eliden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 AI projects, especially those involving ML and NLP. 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 common AI engineering questions and coding challenges. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML frameworks like TensorFlow or PyTorch. We want to see how your skills align with the AI Engineer role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and innovation. Share specific examples of how you've tackled complex challenges using ML or NLP techniques – we love a good story!
Showcase Your Collaborative Spirit: Since this role involves working closely with cross-functional teams, highlight any past experiences where you collaborated effectively. We value teamwork, so let us know how you’ve contributed to successful projects in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Eliden
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Machine Learning and Natural Language Processing. Be ready to discuss specific algorithms you've worked with, like sentiment analysis or predictive modelling, and how you've implemented them in past projects.
✨Showcase Your Coding Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to ML frameworks like TensorFlow or PyTorch beforehand.
✨Understand the Company’s Tech Stack
Familiarise yourself with the cloud platforms and data handling techniques mentioned in the job description. Knowing how to work with AWS, Azure, or Google Cloud will give you an edge, so be prepared to discuss how you've used these technologies in your previous roles.
✨Be Ready to Collaborate
This role involves working closely with cross-functional teams, so highlight your collaborative experiences. Think of examples where you've successfully integrated AI models into existing systems and how you communicated with product managers and domain experts to achieve project goals.
