At a Glance
- Tasks: Join a team building AI that enhances healthcare education and training.
- Company: Tech-first company making a real difference in healthcare with AI.
- Benefits: Up to £90,000 salary, benefits, shares, and hybrid work.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Create impactful AI solutions that improve learning experiences worldwide.
- Qualifications: Experience with LLMs and modern AI frameworks; eagerness to learn.
The predicted salary is between 90000 - 90000 £ per year.
AI Engineer | Up to £90,000 + Benefits + Shares | Hybrid (1 day per week, Shoreditch)
Most AI roles are about building tools that help businesses make more money.
This one is about helping people become better healthcare professionals.
You'll join a product-focused, tech-first company building AI that's already being used across the NHS, schools and universities worldwide to create more engaging, realistic learning experiences.
You'll work alongside an exceptional AI team researching, designing, building and deploying AI/ML products, from experimentation through to production, across multimodal AI, RAG, agentic AI and production machine learning.
You don't need experience across every part of the stack. If you have a solid foundation in AI or machine learning and the curiosity to learn, you'll be supported by great engineers who'll help you get where you need to be.
What you'll need
- Experience with LLMs and modern AI frameworks
- Comfortable taking ideas from experimentation into production
What's in it for you?
- Up to £90,000 salary + benefits + shares
- Build AI that's creating genuine social impact
- Work alongside an exceptional AI team
- Own AI features from research through to production
ML/AI Engineer employer: Tact
Tact is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Graduate Engineers eager to dive into the world of AI and full-stack development. Located in the vibrant city of London, employees benefit from direct mentorship by seasoned professionals, ample opportunities for personal and professional growth, and the chance to contribute to cutting-edge projects that make a real impact. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land ML/AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tact!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML/AI Engineer at Tact.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tact.
✨Apply Directly through Our Website
When you find a suitable opening like ML/AI Engineer at Tact, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ML/AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tact, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tact. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tact
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tact!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
