At a Glance
- Tasks: Shape the future of AI with innovative algorithms and impactful projects.
- Company: Join a fast-growing company revolutionising the due diligence industry.
- Benefits: Enjoy hybrid work, unlimited holiday, and a £1k annual development budget.
- Other info: Collaborate with a supportive team and access WeWork offices across the UK.
- Why this job: Kick-start your AI career while making a real impact in a dynamic environment.
- Qualifications: Experience in Python, statistics, and algorithm optimisation is essential.
The predicted salary is between 28000 - 38000 £ per year.
Who You Are
- Being a small company, candidates need to be able to work autonomously, be comfortable without micro-management, be flexible and have initiative to solve problems.
- A rigorous and scientific approach to problem solving.
- A demonstrable track record for learning and mastering complex topics.
- Keen attention to detail.
- Demonstrable experience working with Python and good Python knowledge.
- A good understanding of statistics.
- A strong understanding of algorithm optimisation.
- A strong foundation of working with command-line tooling and knowledge of Unix.
- Strong verbal and written communication.
- What the Job Involves
- This isn’t just another job role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations.
Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market.
- We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges.
Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact.
You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency.
- For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien.
- We are looking for a detail-focused Applied Research Engineer to help us develop the next generation of the algorithms at the heart of our system.
Our product is experiencing tremendous growth, and we need to ensure that we continue to deliver accurate insights in a rapidly changing landscape.
- This role requires someone who thrives in a fast-paced environment where continuous innovation and refinement are key.
You will be working closely with our product team to ensure our algorithms and models capture their domain knowledge and expertise appropriately.
- This is an ideal opportunity for someone looking to kick-start a career in AI.
- Designing, building, and testing AI-powered experiments working with leading-edge ML models.
- Building and deploying AI-powered microservices following standard design patterns.
- Implementing infrastructure as code using tools like Terraform or Cloud Formation to automate deployment and scaling processes.
- Statistical evaluation of candidate systems against functional and non-functional requirements, optimising for performance and cost-efficiency.
- Collaborating with our wider engineering team.
- Demonstrating a desire to continuously learn & improve.
- What You will Gain Out of It
We will provide you with support and training in everything you need.
This will include background understanding of the risk and compliance sector, our product, development, AWS infrastructure, log analysis and all other related skills.
Benefits
- Hybrid Work Options
- Shares/Equity
- Regular Salary Reviews
- Bonus Plan
- Unlimited Holiday
- High-Spec Macbook
- Full Support in Setting up Your Home-Office (including a monitor, keyboard, mouse, trackpad, etc.)
- Access to We Work Offices Across the UK
- Regular Team Lunches, Drinks and Activities
- Flexible Working Hours
- Life Insurance
- Private Health Insurance
- Pension
- £1k Annual Professional Development Budget
- EV Salary Sacrifice Scheme
- #J-18808-Ljbffr
Graduate Applied AI Engineer in London employer: TargetJobs UK
At targetjobs UK, we pride ourselves on being an excellent employer, offering a supportive work culture that fosters innovation and collaboration. Our Graduate Fire Engineer role not only provides competitive benefits such as 25 days holiday and flexible working options but also presents unique opportunities for professional growth in the thriving Cherwell District. Join us to make a meaningful impact in fire safety while enjoying a balanced work-life environment.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Applied AI Engineer in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like TargetJobs UK when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like TargetJobs UK.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like TargetJobs UK.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through TargetJobs UK’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Applied AI Engineer in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at TargetJobs UK, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at TargetJobs UK aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at TargetJobs UK
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
