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For Companies At a Glance
- Tasks: Develop and deliver innovative AI solutions for enterprise clients using data science expertise.
- Company: Join a Tier 1 client known for impactful AI technologies and solutions.
- Benefits: Enjoy flexible work, 25 days leave, health insurance, and opportunities to work abroad.
- Why this job: Be part of a collaborative team shaping the future of AI with cutting-edge technologies.
- Qualifications: Strong data science background, experience in machine learning, and excellent communication skills required.
- Other info: Engage with modern AI tools and enjoy regular team socials.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
AI Engineer – Data Science
Hybrid | London, England | Engineering
Overview
The Explore Group are partnered with one of our Tier 1 clients to secure AI Engineers with strong data science expertise who are eager to develop and deliver innovative AI solutions for large scale organisations. This role requires a combination of technical skills and business understanding, working with advanced AI technologies to create impactful data driven applications.
Responsibilities
- Partner with enterprise clients to understand requirements and design tailored AI and data science solutions
- Apply statistical modelling, machine learning, and programming expertise to solve complex problems
- Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools
- Deliver production ready solutions that integrate into existing client environments
- Engage with stakeholders at different levels, translating technical approaches into clear business outcomes
- Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design
Requirements
- Strong background in data science and machine learning with solid understanding of statistics and programming
- Exposure to MLOps and experience deploying models into production environments
- Interest and practical experience in using emerging AI technologies such as co pilots, agentic frameworks, and generative AI applications
- Proven ability to manage client expectations and deliver high quality solutions in a collaborative environment
- Excellent communication skills with the ability to present technical concepts to both technical and non technical audiences
Benefits
We offer a supportive and flexible work environment with a comprehensive benefits package including:
- 25 days of annual leave plus bank holidays
- Share options and pension scheme
- Health and dental insurance options
- Professional learning and development budget
- Cycle to work scheme and technology allowance
- Referral bonus scheme
- Opportunities to work abroad for limited periods
- Regular team socials and office perks
AI Engineer - Data Science employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Data Science
✨Tip Number 1
Familiarise yourself with the latest AI technologies mentioned in the job description, such as large language models and generative AI applications. Being able to discuss these topics confidently during interviews will show your enthusiasm and expertise.
✨Tip Number 2
Prepare examples of past projects where you've successfully applied machine learning and data science techniques. Be ready to explain your thought process and how you translated complex technical concepts into business outcomes for clients.
✨Tip Number 3
Brush up on your MLOps knowledge and be prepared to discuss your experience with deploying models into production environments. This is crucial for demonstrating your ability to deliver production-ready solutions.
✨Tip Number 4
Practice your communication skills, especially in explaining technical concepts to non-technical audiences. This will be key in engaging with stakeholders and ensuring that your solutions align with their needs.
We think you need these skills to ace AI Engineer - Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. Include specific projects where you've applied statistical modelling and programming skills, as well as any exposure to MLOps.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI technologies and how your background aligns with the role. Mention any relevant experience with large language models or generative AI applications, and how you can contribute to delivering impactful solutions.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've successfully translated technical concepts to non-technical audiences. This could be through presentations, reports, or client interactions.
Highlight Collaborative Experience: Emphasise your ability to work in a team and manage client expectations. Share instances where you've collaborated with stakeholders to deliver high-quality solutions, showcasing your understanding of both technical and business aspects.
How to prepare for a job interview at Explore Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data science and machine learning in detail. Highlight specific projects where you've applied statistical modelling and programming to solve complex problems, as this will demonstrate your technical expertise.
✨Understand the Business Context
Make sure you can articulate how your technical skills translate into business outcomes. Research the company and its clients to understand their needs, and be ready to discuss how your solutions can address those requirements.
✨Stay Current with AI Technologies
Familiarise yourself with the latest AI tools and technologies mentioned in the job description, such as large language models and generative AI applications. Being able to discuss these topics will show your enthusiasm for the field and your commitment to continuous learning.
✨Practice Clear Communication
Since the role requires engaging with stakeholders at various levels, practice explaining complex technical concepts in simple terms. This will help you convey your ideas effectively during the interview, making it easier for non-technical audiences to understand your approach.
