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 an innovative data-driven organisation at the forefront of AI technology.
- 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 cutting-edge 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 remotely with occasional office visits; collaborate with elite researchers and engineers.
The predicted salary is between 84000 - 112000 £ per year.
Get AI-powered advice on this job and more exclusive features.
This range is provided by Burns Sheehan. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Burns Sheehan
- 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 companies 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 necisserily 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.
Again this is a superb opportunity to join a business that truly value 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
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering, Information Technology, and Other
-
Industries
Staffing and Recruiting, Technology, Information and Media, and Financial Services
Referrals increase your chances of interviewing at Burns Sheehan by 2x
Sign in to set job alerts for “Artificial Intelligence Engineer” roles.
London, England, United Kingdom 2 weeks ago
London Area, United Kingdom £100,000.00-£130,000.00 23 hours ago
Grove, England, United Kingdom 17 hours ago
London, England, United Kingdom 4 days ago
Peterborough, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 months ago
Cambridge, England, United Kingdom 1 month ago
London, England, United Kingdom 3 weeks ago
Research Engineer, ML, AI & Computer Vision
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 4 days ago
Machine Learning Scientists and Engineers: AI for Quantum
London, England, United Kingdom 3 months ago
London, England, United Kingdom 3 weeks ago
Graduate Software Engineer – ML Data Platform
Greater London, England, United Kingdom £40,000.00-£70,000.00 14 hours ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 3 weeks ago
Bath, England, United Kingdom 4 weeks ago
London, England, United Kingdom 6 months ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 16 hours ago
London, England, United Kingdom 4 months ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Senior Artificial Intelligence Engineer employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest AI trends and technologies. Since this role involves working with cutting-edge machine learning techniques, staying updated on advancements in NLP, LLM, and GenAI will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the AI field. Engaging with others who are already in similar roles can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Showcase your hands-on experience with ML frameworks like PyTorch or scikit-learn. Be ready to discuss specific projects where you've applied these tools, as practical knowledge is crucial for this position.
✨Tip Number 4
Prepare to demonstrate your understanding of the full model lifecycle. Be ready to discuss your experiences with experimentation, training, testing, and deployment, as this will highlight your capability to manage complex AI projects.
We think you need these skills to ace Senior Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and programming skills like Python and SQL. Emphasise any hands-on experience with NLP, LLM, or ML frameworks such as PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and innovation. Mention specific projects or experiences that demonstrate your ability to lead model development and collaborate cross-functionally.
Showcase Your Technical Skills: Include a section in your application that outlines your technical skills and tools you are proficient in, especially those mentioned in the job description, like AWS machine learning infrastructure and model lifecycle management.
Prepare for Technical Questions: Anticipate technical questions related to AI and machine learning during the interview process. Be ready to discuss your approach to problem-solving and how you've applied advanced techniques in past projects.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning frameworks like PyTorch or scikit-learn. Bring examples of projects where you've applied these skills, especially in areas like NLP or recommendation systems.
✨Understand the Company’s AI Strategy
Research the company’s current AI initiatives and be ready to discuss how you can contribute to their strategy. Demonstrating knowledge of their products and how they leverage AI will show your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to tackle complex problems during the interview. Practice breaking down technical challenges into manageable parts and explaining your thought process clearly. This will highlight your analytical skills and ability to work in a dynamic environment.
✨Emphasise Collaboration and Mentorship
Since the role involves working cross-functionally and mentoring teammates, be ready to share examples of how you've collaborated with others in the past. Highlight any experiences where you've elevated team performance or shared innovative ideas.
