Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI strategy and build large-scale machine learning systems in a dynamic environment.
- Company: Join a cutting-edge data-driven company innovating in AI technologies.
- Benefits: Enjoy remote work, equity options, 25 days holiday, and a matched pension scheme.
- Why this job: Be part of a world-class team, working on groundbreaking AI projects with ample growth opportunities.
- Qualifications: Strong Python and SQL skills; experience in NLP, ML frameworks, and full model lifecycle required.
- Other info: Work abroad for up to 3 months and collaborate with elite researchers and engineers.
The predicted salary is between 64000 - 88000 £ per year.
£80,000-£110,000 UK remote with London office with expectation to be seen in person at least once a month.
- Equity options
- 25 days holiday + bank
- Pension matched to 7%
- Work abroad for up to 3 months
Are you looking to be part of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the company's AI strategy moving forward.
In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same, you will get to work on:
- Driving end to model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.
- Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.
- Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.
- Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with fail fast mentality.
- Be a proactive sharer of compelling ideas/work to the rest of the team and organisation.
What do you need?
Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and deploying.
- Strong Python, SQL and programming skills
- Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems).
- Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn).
- Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment).
- Good knowledge of AWS’s machine learning infrastructure.
This is a superb opportunity to join a business that truly values innovation and there will be lots of opportunity for future growth and development within this team.
If interested please send any questions to danb@burnssheehan.co.uk
Artificial Intelligence Engineer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Follow industry leaders on social media, read relevant research papers, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI community. Attend meetups, webinars, or conferences where you can connect with like-minded individuals and potential colleagues. Building relationships can often lead to job opportunities that aren't advertised publicly.
✨Tip Number 3
Showcase your projects and contributions on platforms like GitHub or personal blogs. Highlight any work related to NLP, LLM, or machine learning frameworks. This practical demonstration of your skills can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems relevant to AI engineering. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI engineering, machine learning, and programming skills like Python and SQL. Emphasise any hands-on experience with NLP, LLM, or recommendation systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and innovation. Mention specific projects or experiences that align with the company's focus on data-driven products and your ability to lead model development.
Showcase Your Technical Skills: In your application, clearly outline your familiarity with ML frameworks such as PyTorch and scikit-learn. Provide examples of how you've worked through the full model lifecycle, including deployment and monitoring.
Highlight Collaborative Experience: Since the role involves cross-functional collaboration, include examples of how you've worked with diverse teams to solve complex problems. This will demonstrate your ability to elevate and mentor teammates.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any machine learning frameworks you've worked with. Highlight specific projects where you applied these skills, especially in areas like NLP or recommendation systems.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice explaining how you approach complex problems and break them down into manageable parts. Use examples from your past work to illustrate your thought process.
✨Emphasise Collaboration and Mentorship
This role involves working closely with a team. Be ready to share experiences where you collaborated cross-functionally or mentored others. Show that you value diverse ideas and can elevate your teammates.
✨Stay Updated on AI Trends
Research the latest advancements in AI and machine learning. Being knowledgeable about current trends will not only impress your interviewers but also demonstrate your passion for the field and your commitment to continuous learning.
