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For Companies At a Glance
- Tasks: Join a dynamic team to develop cutting-edge AI products and solve complex problems.
- Company: Be part of a Series A start-up backed by top investors like Google Ventures.
- Benefits: Enjoy 25 days holiday, bank holidays, and your birthday off, plus equity options.
- Why this job: Work in a fast-paced environment with innovative technology and a chance to make an impact.
- Qualifications: Strong academic background and proven experience in high-growth tech environments required.
- Other info: Work one day a week at Monument/Bank and collaborate with top engineering talent.
The predicted salary is between 104000 - 156000 £ per year.
Overview
Senior AI Engineer
- Salary: £90,000-£130,000
- 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 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.
Responsibilities
- 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 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
Application details
If interested please send any questions to danb@burnssheehan.co.uk
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
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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 with professionals in the AI field, especially those who have experience with LLM technologies. Attend meetups or webinars related to AI and engage in discussions to showcase your knowledge and enthusiasm.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, LangChain, and OpenAI models. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 3
Prepare to discuss your previous experiences in fast-paced environments during interviews. Highlight specific examples where you successfully delivered projects under tight deadlines, showcasing your ability to adapt and learn quickly.
✨Tip Number 4
Research the company’s mission and recent developments in AI. Being knowledgeable about their goals and how your skills align with their vision will help you stand out as a candidate who is genuinely interested in contributing to their success.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI technologies, particularly those mentioned in the job description like Python, LangChain, and OpenAI. Showcase specific projects or roles where you've successfully delivered results in fast-paced environments.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and your understanding of the company's mission. Mention how your skills align with their needs and express your enthusiasm for contributing to their innovative AI product suite.
Highlight Relevant Experience: In your application, emphasise your experience in both applied and research contexts. Provide examples of how you've solved complex problems using modern AI tools and your ability to work autonomously in high-output teams.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your documents are well-organised and clearly formatted, as attention to detail is crucial for this role.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Technical Expertise
As a Senior AI Engineer, it's crucial to demonstrate your deep understanding of modern AI tools and approaches. Be prepared to discuss specific projects where you've successfully implemented technologies like Python, LangChain, or OpenAI models. Highlight your experience with data analysis and engineering to show you can handle the technical demands of the role.
✨Prepare for Problem-Solving Questions
Expect to face abstract problem-solving scenarios during the interview. Practice articulating your thought process clearly and logically. Use examples from your past experiences to illustrate how you've tackled complex challenges in fast-paced environments, showcasing your ability to think critically and adapt quickly.
✨Demonstrate Your Collaborative Spirit
This role involves working closely with engineering leadership and other team members. Be ready to discuss how you've contributed to high-output engineering teams in the past. Share examples of successful collaborations and how you’ve helped foster a positive team environment, as this will highlight your ability to work autonomously while still being a team player.
✨Research the Company and Its Vision
Familiarise yourself with the company's mission and the innovative AI solutions they are developing. Understanding their goals and how your skills align with their vision will not only impress the interviewers but also help you articulate why you're a great fit for their team. Show enthusiasm for their projects and be ready to discuss how you can contribute to their success.
