At a Glance
- Tasks: Join our team to develop AI solutions and tackle real-world challenges.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Competitive salary, generous training budget, flexible working, and 26 days annual leave.
- Other info: Enjoy a supportive environment with opportunities for growth and exciting projects.
- Why this job: Launch your career in AI with hands-on experience and mentorship from experts.
- Qualifications: Degree in relevant field or equivalent experience; passion for problem-solving required.
The predicted salary is between 25650 - 31350 £ per year.
Are you passionate about solving complex problems and eager to launch your career in Artificial Intelligence? We are excited to invite applications for our Associate AI Engineer Programme. This 12-month scheme offers you the unique opportunity to work across our engineering and machine learning teams. You will gain hands-on experience, learn from experts, and contribute to impactful AI projects that drive real-world solutions. We also provide a generous £2,500 training budget to elevate your skills and prepare you for a successful career. Upon successful completion, you will be offered a permanent role with us. If this sounds like a match for your career ambitions, we can't wait to hear from you!
KEY RESPONSIBILITIES:
- Contribute to the development, testing, and deployment of software and AI solutions.
- Support the creation of data processing pipelines for extracting, cleaning, transforming, and validating data using Python and SQL.
- Assist in building and maintaining production-quality code and services.
- Contribute to machine learning, automation, and AI-related projects under guidance from senior team members.
- Participate in code reviews and collaborative development activities.
- Create and maintain technical documentation for solutions and processes.
- Investigate, troubleshoot, and resolve technical issues.
- Apply software engineering best practices including testing, version control, and code quality standards.
- Adopt modern engineering tools and practices, including Git, Docker, cloud platforms, and CI/CD processes.
- Continuously develop technical knowledge and contribute to team learning and improvement initiatives.
KEY REQUIREMENTS:
- Degree in a relevant discipline such as Computer Science, Software Engineering, Data Science, Mathematics, or another relevant quantitative field (equivalent self-directed learning and demonstrable project portfolio may be considered).
- Experience applying technical skills through academic coursework, personal projects, internships, hackathons, or open-source contributions.
- Experience participating in collaborative project work.
- Exposure to software development using Python or another modern programming language.
- Exposure to version control tools such as Git is desirable.
- Little to no industry experience required.
- Ability to develop software in Python (or a similar language), applying object-oriented programming concepts, data structures, and algorithms.
- Fundamental understanding of data analysis, mathematics, statistics, and the AI landscape.
- Ability and enthusiasm to solve complex technical problems using logical and analytical thinking.
- Ability to identify areas for growth and learn new technologies, skills, and concepts.
- Ability to successfully work with, and contribute to, a team.
- Effective communication skills through written and verbal communication, active listening, and questioning.
- Effective organisational skills, including planning, prioritisation, and time management.
- High attention to detail and commitment to quality.
INTERVIEW PROCESS:
- Stage 1: 20 min initial video call with a member of the hiring team
- Stage 2: 30 min video call with a member of the technical team
- Stage 3: 60 min F2F interview in our London office
OUR BENEFITS:
- Competitive compensation package including annual performance bonus
- 26 days of annual leave, 8 bank holidays plus your birthday off
- BUPA Private Healthcare
- Enhanced family leave
- Enhanced £2,500 annual development budget
- Flexible hybrid working (3 days a week in our modern Shoreditch office)
- Remote working from anywhere in the world for up to 4 weeks each year
- Latest tech that suits your needs: high-spec Windows machine or a MacBook
- Free snacks and drinks, and regular team socials
- Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries
Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future.
OUR COMMITMENT TO DEI:
At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us.
Associate AI Engineer (12-Month Associate Programme) in London employer: Applied Data Science Partners
Applied Data Science Partners is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Senior Machine Learning Engineers looking to make a significant impact. With a generous £1k development budget, employees are encouraged to pursue continuous learning and growth, while the hybrid role offers flexibility to balance work and personal life. Located in a vibrant area, the company provides unique opportunities to engage with diverse client projects, ensuring that every team member contributes to meaningful data science outcomes.
Contact Details:
Applied Data Science Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Associate AI Engineer (12-Month Associate Programme) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Applied Data Science Partners or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Applied Data Science Partners.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Applied Data Science Partners.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Applied Data Science Partners that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Associate AI Engineer (12-Month Associate Programme) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Applied Data Science Partners.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Applied Data Science Partners and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Applied Data Science Partners
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Applied Data Science Partners uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
