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- Tasks: Lead AI projects, develop machine learning systems, and mentor teammates in a dynamic environment.
- Company: Innovative data-driven organisation at the forefront of AI trends.
- Benefits: Competitive salary, equity options, 25 days holiday, and remote work flexibility.
- Why this job: Join a world-class team and make a real impact in AI innovation.
- Qualifications: Strong Python and SQL skills, with experience in machine learning and NLP.
- Other info: Opportunity for growth and to work abroad for up to 3 months.
The predicted salary is between 78000 - 104000 £ per year.
£90,000-£130,000
UK remote with London office with expectation to be seen in person at least once a fortnight ideally. If LDN based 2 days a week on site with wider team.
- 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.
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 start-up 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
Senior AI Engineer employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 projects, especially those related to AI and machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios relevant to AI engineering. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with machine learning, NLP, 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 innovative team. Be sure to mention specific technologies or projects that excite you.
Showcase Your Projects: If you've worked on any interesting AI projects, make sure to include them in your application. We love seeing real-world applications of your skills, so don't hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI trends and technologies mentioned in the job description. Brush up on your Python, SQL, and any ML frameworks like PyTorch or scikit-learn. Be ready to discuss your hands-on experience with NLP, LLMs, and recommendation systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about how you can translate those experiences into the context of building large-scale machine learning systems. This will demonstrate your ability to lead and mentor others in a dynamic environment.
✨Emphasise Collaboration
Since the role involves cross-functional collaboration, be ready to talk about how you’ve worked with diverse teams in the past. Highlight instances where you’ve shared ideas or mentored teammates, as this aligns with the company’s values of innovation and teamwork.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s projects and future direction. Inquire about their approach to model delivery and deployment, or how they foster a fail-fast mentality. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
