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For Companies At a Glance
- Tasks: Lead AI projects, design solutions, and mentor future talent in a dynamic environment.
- Company: Rapidly scaling business focused on unlocking AI potential and addressing skills gaps.
- Benefits: Competitive salary, equity options, hybrid work, and opportunities for professional growth.
- Why this job: Make a real impact by shaping AI solutions for high-profile organisations.
- Qualifications: Experience in AI/ML solutions and strong communication skills for client interactions.
- Other info: Join a fast-growing team with a focus on innovation and collaboration.
The predicted salary is between 80000 - 110000 ÂŁ per year.
Salary: ÂŁ80,000 â ÂŁ110,000 + Equity options
Location: London hybrid
The Opportunity
We are working with a rapidly scaling business that is tackling one of the UK's most important challenges, helping organisations unlock the potential of AI while addressing the growing skills gap. Having recently undergone a strategic rebrand, the company is now entering an accelerated growth phase and requires an experienced AI professional to join their head office team. This role is a rare opportunity to combine handsâon AI engineering expertise with client consulting, solution delivery, and technical leadership. You'll play a critical role in shaping solutions for highâprofile organisations across multiple sectors, while also contributing to the internal development of new AIâdriven products and training programmes.
What You'll Be Doing
- Leading technical input in preâsales and clientâfacing conversations
- Designing and delivering AI solutions across a variety of industries
- Acting as an internal consultant, applying AI to improve business processes and scale operations
- Supporting the company's AI training academy, mentoring and guiding diverse talent pipelines
- Collaborating closely with leadership, sales, delivery, and academy teams to shape innovative solutions
Skills and Experience
- Experience working in the industry delivering AI or ML solutions
- A strong technical foundation with the ability to design and deploy AI systems endâtoâend
- Confidence in clientâfacing roles, with the ability to communicate technical concepts clearly to nonâtechnical audiences
- Experience mentoring or coaching other engineers, and an interest in developing people
- A flexible, entrepreneurial mindset suited to a fastâgrowing, highâimpact environment
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
AI Engineer in London employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. We canât stress enough how important it is to make connections that could lead to job opportunities.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. This gives potential employers a taste of what you can do, and we all know actions speak louder than words.
â¨Tip Number 3
Prepare for interviews by practising common AI-related questions. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your relevant experience and skills that match the job description. We want to see how you can bring value to our team!
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 your background makes you a perfect fit for us. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any AI or ML projects, make sure to mention them! We love seeing real-world applications of your skills. Include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you donât miss out on any important updates from us!
How to prepare for a job interview at Data Science Festival
â¨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss specific projects you've worked on, the technologies you used, and the impact of your solutions. This will show that you have the hands-on experience theyâre looking for.
â¨Communicate Clearly
Since this role involves client-facing conversations, practice explaining complex technical concepts in simple terms. You might want to do a mock interview with a friend who isnât in tech to see if you can make your points clear and engaging.
â¨Show Your Mentoring Side
Highlight any experience you have in mentoring or coaching others. Think of examples where youâve helped someone grow their skills or contributed to a teamâs development. This is key as theyâre looking for someone who can support their AI training academy.
â¨Be Ready for Collaboration
Prepare to discuss how youâve worked with cross-functional teams in the past. They want to know how you collaborate with leadership, sales, and delivery teams. Have some examples ready that showcase your teamwork and innovative problem-solving skills.
