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- Tasks: Design and deploy cutting-edge AI solutions for top-tier enterprises.
- Company: Join causaLens, a pioneering tech company transforming the future of work.
- Benefits: Enjoy competitive pay, 25 days holiday, and a great work-life balance.
- Why this job: Make a real impact by solving business problems with innovative AI technology.
- Qualifications: Experience in data science, machine learning, and building production-grade AI solutions.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
causaLens delivers Digital Workers that enterprises can truly rely on. Soon, competing without Digital Workers will be impossible. Just as it became unthinkable to manufacture without machines. We have built the first factory and Operating System for creating, deploying, and governing Digital Workers. For too long, enterprises have been bogged down by repetitive work, an overload of tools, and costly consultancies. It is time to simplify. It is time for Digital Workers to take on the repetitive workflows, freeing humans to focus on what matters most. Trusted by leading companies like J&J, Cisco, IPG Group, and Syneos Health. Backed by over $50M in funding from world-class investors, including Molten Ventures (formerly Draper Esprit), Dorilton Capital, and IQ Capital, plus visionary angel investors such as the CEO of Revolut.
We are seeking AI Engineers with strong data science expertise who are passionate about helping world-leading enterprises put cutting-edge AI agents into production. You will work on impactful, high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale.
What you will bring:
- Experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.)
- Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows.
- Client-facing experience with a forward-deployed engineering mindset.
- Strong solution architecture and delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions.
What you will do:
- Collaborate directly with top-tier enterprises to understand needs, design and deploy bespoke agentic workflows.
- Design and implement robust architectures that leverage the latest AI technologies.
- Lead the delivery of high-impact AI products from concept to deployment.
- Collaborate with top-tier enterprises to design and deploy bespoke data science agents, empowering users to fully leverage the capabilities of our platform.
Benefits:
We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good work-life balance, we offer the following: 25 days of paid holiday, plus
AI Engineer in England employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at causaLens. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. When you apply through our website, include links to your work to impress the hiring team.
✨Tip Number 3
Prepare for the interview by understanding our culture and values. Read up on our articles and think about how your experience aligns with what we do at causaLens. It’ll help you stand out!
✨Tip Number 4
Follow up after your interview! A quick thank-you email can leave a lasting impression. It shows you're genuinely interested in the role and keeps you fresh in their minds.
We think you need these skills to ace AI Engineer in England
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how passionate you are about using cutting-edge technology to solve real-world problems. Share any personal projects or experiences that highlight your love for AI and data science.
Tailor Your Application: Make sure to customise your application for the AI Engineer role. Highlight your relevant experience with LLMs, RAGs, and other technologies mentioned in the job description. We appreciate when candidates take the time to align their skills with what we’re looking for!
Be Clear and Concise: Keep your application straightforward and to the point. We value clarity, so avoid jargon and overly complex language. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team at causaLens!
How to prepare for a job interview at causaLens
✨Know Your AI Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your hands-on experience with LLMs, RAGs, and agentic workflows. They’ll want to see that you can translate complex problems into intelligent solutions.
✨Showcase Your Client-Facing Skills
Since this role involves working directly with clients, prepare examples of how you've successfully collaborated with technical teams and business stakeholders in the past. Highlight your ability to understand their needs and deliver impactful solutions.
✨Demonstrate Your Problem-Solving Mindset
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach real-world challenges and design bespoke workflows. This will show them you have the critical thinking skills they’re looking for.
✨Familiarise Yourself with Their Culture
Read up on the articles provided about their culture. Understanding their hiring framework and values will help you align your answers with what they’re looking for. It shows you’re genuinely interested in being part of their team.