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For Companies At a Glance
- Tasks: Join our team to build cutting-edge AI solutions for the insurance industry.
- Company: Artificial is revolutionizing specialty insurance with innovative technology and a collaborative culture.
- Benefits: Enjoy competitive salary, private medical insurance, generous holidays, and a vibrant work environment.
- Why this job: Be part of a transformative journey in insurtech, working with top talent and the latest tech.
- Qualifications: 2-5 years experience in AI, strong Python skills, and familiarity with AWS and machine learning.
- Other info: Hybrid role with opportunities for growth and learning in a fast-paced startup environment.
The predicted salary is between 28800 - 48000 £ per year.
About Artificial
We’re building technology for the next generation of specialty insurers and brokers.
At Artificial, our mission is clear: to build the specialty (re)insurance landscape of the future. Our pioneering technology is revolutionising how insurers and brokers operate in complex markets. By removing the mundane and repetitive, we’re paving the way for opportunity, innovation and efficiency in the industry.
At Artificial, you’ll be working with talented people, using the latest technology in an environment where learning is supported. As an outcomes-focused business, taking ownership is not only expected but embraced, meaning the opportunity to create meaningful change is within your power.
In 2024 we secured £8M in Series A+ funding, led by Europe’s premier publicly listed fintech fund, Augmentum Fintech, with participation from existing investors MS&AD Ventures and FOMCAP IV. We work with some of the world’s leading brokers and top-performing insurers in London and beyond.
Join us, and take the chance to be a part of something that is already changing the industry for the better.
Role background
We are looking for a junior AI Engineer to join our collaborative team of 4, to focus on building the most advanced and flexible AI enabled insurance platform to cater for insurers, brokers and underwriters of all sizes and sectors.
Bringing your knowledge of AI techniques and principles as well as software engineering skills, this role would be particularly of interest to you having come from a previous start up or scale up environment.
Please note, this is a hybrid role with 2-3 days per week based at our HQ or at client site.
Your role and responsibilities
Your key responsibilities will be the ideation, coding and deployment of data science models at scale, using the latest technologies and an AWS cloud environment. You will:
- Partner with more senior members of the data team to understand, implement, refine and design machine learning code and other algorithms.
- Work with AI Engineers to build pipelines to train and deploy models into production.
- Work with core development teams to integrate deployed models into main products.
- Work cross functionally with product managers, designers, data scientists and product engineers to communicate progress and results to peers and leaders.
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver (e.g. GenAI – including Large Language and Vision models).
About you
- At least 2-5 years of commercial experience.
- BS, MS or PhD degree in Computer Science or related field, or equivalent practical experience.
- Ability to write quality code in Python.
- Some experience with cloud technologies and serverless deployment (AWS preferred).
- Knowledge of machine learning techniques and principles, as well as LLMs.
- Computer science fundamentals: data structures, algorithms, performance, complexity and implications of computer architecture on software performance e.g. I/O and memory tuning.
- Software engineering fundamentals: version control systems and workflows, CI/CD pipelines.
We especially want to hear from you if you have
- Interest in reading academic papers and trying to implement state-of-the-art solutions.
- Experience or interest in working with LLMs and relevant libraries (e.g. Langchain) to solve new challenges.
- Product development skills with an emphasis on user experience.
- Experience in insurtech, insurance or related industries.
- Comfortable working in a fast-changing start-up environment with all the ambiguities this presents: flexibility will be needed.
Benefits
- Competitive base salary
- Private medical insurance
- Income protection insurance
- Life insurance of 4 * base salary
- On-site gym and shower facilities
- Team social events and company parties
- Salary exchange on pension and nursery fees
- Access to Maji, the financial wellbeing platform
- Milestone Birthday Bonus and a Life Events leave policy
- Generous holiday allowance of 28 days plus national holidays
- Home office and equipment allowance, and a company MacBook
- Learning allowance and leave to attend conferences or take exams
- YuLife employee benefits, including EAP and bereavement helplines
- For each new hire, we plant a tree through our partnership with Ecologi Action
- The best coffee machine in London, handmade in Italy and imported just for us!
We’re an equal opportunities employer, with a strong commitment to hiring from the rich diversity within our local communities. If you’d like to request a reasonable adjustment to the hiring process, please do let us know at any time and feel free to let us know your preferred pronouns. If you feel that you don’t tick all the boxes of requirements, please do apply anyway – Artificial recognizes the value of raw talent. Please be aware as part of the application process we’ll be carrying out various background checks. These may include a criminal records check, checking your credit history, contacting your previous employers and/or verifying your academic qualifications.
Department Engineering Locations UK Remote status Hybrid #J-18808-Ljbffr
Junior AI Engineer employer: Artificial Labs Ltd
Contact Detail:
Artificial Labs Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineer
✨Tip Number 1
Familiarize yourself with the latest AI techniques and principles, especially those related to machine learning and large language models (LLMs). This knowledge will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the insurtech community by attending relevant meetups or webinars. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Showcase your coding skills in Python by contributing to open-source projects or building your own projects that utilize AWS cloud technologies. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach integrating AI models into existing products. Think about specific examples or case studies where you've seen successful implementations, as this will highlight your problem-solving skills.
We think you need these skills to ace Junior AI Engineer
Some tips for your application 🫡
Understand the Company: Dive deep into Artificial's mission and values. Familiarize yourself with their technology and how it impacts the insurance industry. This will help you tailor your application to show that you're aligned with their goals.
Highlight Relevant Experience: Make sure to emphasize your 2-5 years of commercial experience, especially in AI and software engineering. Mention any previous work in start-up or scale-up environments, as this is particularly relevant for the role.
Showcase Your Skills: Clearly outline your proficiency in Python, cloud technologies (preferably AWS), and machine learning techniques. Provide examples of projects where you've implemented these skills, especially if they relate to LLMs or data science models.
Express Your Interest: Convey your enthusiasm for working in a fast-changing environment and your interest in reading academic papers. Highlight any experience with product development and user experience, as these are key aspects of the role.
How to prepare for a job interview at Artificial Labs Ltd
✨Showcase Your AI Knowledge
Be prepared to discuss your understanding of AI techniques and principles. Highlight any relevant projects or experiences where you've implemented machine learning models, especially in a startup or scale-up environment.
✨Demonstrate Coding Skills
Since the role requires quality coding in Python, practice coding challenges beforehand. Be ready to explain your thought process while solving problems and how you ensure code quality.
✨Familiarize with AWS and Cloud Technologies
Brush up on your knowledge of AWS and serverless deployment. Be ready to discuss any previous experience you have with cloud technologies and how they relate to deploying machine learning models.
✨Emphasize Collaboration and Communication
This role involves working cross-functionally with various teams. Prepare examples that demonstrate your ability to communicate effectively with product managers, designers, and engineers, and how you’ve contributed to team success in the past.
