AI Engineer in London

AI Engineer in London

London Full-Time 43200 - 72000 € / year (est.) No home office possible
causaLens

At a Glance

  • Tasks: Join us as an AI Engineer, transforming analytics workflows for top enterprises.
  • Company: CausaLens delivers innovative digital workers for analytics, trusted by industry giants like Cisco and Johnson & Johnson.
  • Benefits: Enjoy 25 days paid holiday, share options, and a learning budget, plus flexible work options.
  • Other info: Our interview process includes engaging challenges and open communication throughout.
  • Why this job: Be part of a cutting-edge team, leveraging the latest AI tools to solve real-world problems.
  • Qualifications: Strong data science skills and familiarity with modern AI technologies are essential.

The predicted salary is between 43200 - 72000 € per year.

Job description

The next wave of enterprise software won’t be dashboards or copilots. It will be Digital Workers, autonomous AI systems capable of executing complex workflows end-to-end. At causaLens, we are building the platform that enables enterprises to deploy these Digital Workers safely and at scale.

Our Digital Worker Factory allows organizations to design, deploy, and manage AI agents that automate decision-making, analytics, and operational workflows across the enterprise. These systems are already being used by global companies including Johnson & Johnson, Syneos Health and Cisco to transform how work gets done.

Backed by $50M+ in funding from Molten Ventures, Dorilton Capital, and IQ Capital, and supported by visionary investors including the CEO of Revolut, causaLens is scaling rapidly. Our team includes leading AI researchers, engineers, and scientists, almost 20% with PhDs.

Here are 2 articles that define our culture:
1. A Hiring Framework for a New Kind of Services Company

2. The Primacy of Winning

The Role

We’re hiring an AI Engineer to build and deploy enterprise-grade AI systems and digital workers in production. You’ll work closely with global organisations, embedding with clients to untangle complex workflows and translate them into reliable, scalable agentic systems—integrating models, data, and enterprise infrastructure into solutions that operate in real-world environments.

Job requirements

We’re looking for engineers who want to apply advanced AI to meaningful business problems. You’ll contribute to systems spanning LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs.

Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure.

What you’ll bring:

  • Proven hands-on experience building production-grade solutions using LLMs, RAG pipelines, MCPs, and agentic workflows

  • A forward-deployed, client-first mindset, with experience working directly with both technical teams and business stakeholders

  • Strong delivery capabilities, with the ability to translate complex business problems into scalable AI systems

  • A track record of delivering measurable impact through applied AI

What you’ll do:

  • Partner with leading enterprises to understand their needs and design tailored agentic workflows

  • Implement robust, scalable systems leveraging the latest advancements in AI

  • Own the end-to-end delivery of high-impact AI products, from concept through to production deployment

Our culture values intellectual rigour, ownership, and the primacy of winning. We expect tech team members to work from the office 1-2 days per week.

Benefits


We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following:

  • 25 days of paid holiday, plus bank holidays

  • carry over/sell holiday options (up to 5 days)

  • Share options

  • Pension scheme

  • Core life cover for all employees, equivalent to 4x your annual basic salary

  • Happy hours and team outings

  • Referral bonus program

  • Cycle to work scheme

  • Friendly tech purchases

  • Benefits to choose from, including Health/Dental Insurance

  • Special Discounts

  • Learning and development budget

  • Work abroad days

  • Office snacks and drinks

Logistics

  • Recruiter Screen

  • Hiring Manager / Team Interview (30 mins): Deep dive into past projects, recent codebases

  • Take-Home Challenge (3 hours): Testing structured thinking and practical coding/problem-solving.

  • "Day 0" Onsite (Hammersmith): * 3 x 30-minute technical interviews.

-Founders/Exec Interview

If you require accommodations during the application process or in your role at causaLens, please contact us at talent@causalens.com

All done!

Your application has been successfully submitted!

You've already applied for this job

We appreciate your interest in this position. Unfortunately, you have already applied for this job.

AI Engineer in London employer: causaLens

At causaLens, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our vibrant work culture fosters continuous learning and personal growth, offering AI Engineers the chance to work with cutting-edge technologies while enjoying a generous benefits package, including 25 days of paid holiday, share options, and a supportive environment for professional development. Located in a dynamic tech hub, we empower our employees to thrive both personally and professionally, making causaLens a truly rewarding place to advance your career in AI.

causaLens

Contact Detail:

causaLens Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer in London

Tip Number 1

Familiarise yourself with the latest AI tools and technologies mentioned in the job description. Being able to discuss your hands-on experience with co-pilots, LLMs, and agentic workflows during interviews will show your proactive approach and enthusiasm for the role.

Tip Number 2

Research causaLens and its culture by reading the articles provided in the job description. Understanding their hiring framework and the importance of winning will help you align your answers with their values during the interview process.

Tip Number 3

Prepare to showcase your problem-solving skills by thinking of examples where you've translated complex business problems into data-driven solutions. This will be crucial when discussing your experience with clients and stakeholders.

Tip Number 4

Practice your presentation skills, as the interview process includes a 'Day 0' challenge that requires you to present your work. Being clear and confident in your delivery will make a strong impression on the hiring team.

We think you need these skills to ace AI Engineer in London

Data Science Expertise
Machine Learning Proficiency
Statistical Analysis
Programming Skills (Python, R, etc.)
MLOps Knowledge
Familiarity with AI Tools (co-pilots, MCPs, LLMs)
Stakeholder Management

Some tips for your application 🫡

Understand the Company Culture:Read the articles provided in the job description to grasp causaLens' culture and values. This understanding will help you tailor your application to align with their ethos.

Highlight Relevant Experience:Emphasise your experience with data science, machine learning, and any exposure to MLOps. Be specific about the tools and technologies you've used, especially those that are current and relevant to AI engineering.

Showcase Problem-Solving Skills:Illustrate how you've translated business problems into scalable solutions in your previous roles. Use concrete examples to demonstrate your ability to work closely with clients and stakeholders.

Prepare for the Interview Process:Familiarise yourself with the interview structure mentioned in the job description. Prepare for the in-person challenge and presentation by practising your problem-solving and communication skills.

How to prepare for a job interview at causaLens

Understand the Company Culture

Before your interview, take some time to read up on causaLens and their culture. Familiarise yourself with their hiring framework and values as outlined in the articles provided. This will help you align your answers with what they value in a candidate.

Showcase Your Technical Skills

Be prepared to discuss your experience with data science and machine learning. Highlight any projects where you've used the latest AI tools and technologies. They are looking for candidates who are proactive in adopting new technologies, so share examples of how you've done this.

Prepare for the 'Day 0' Challenge

The interview process includes a practical challenge, so make sure you're ready for it. Brush up on your problem-solving skills and be prepared to demonstrate your ability to translate business problems into intelligent solutions during this session.

Engage in Open Dialogue

Don't hesitate to ask questions during your interview. causaLens encourages open communication, so use this opportunity to clarify any doubts you have about the role or the company. This shows your interest and willingness to engage.