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- Tasks: Design and develop cutting-edge machine learning solutions for real-life applications.
- Company: Join a dynamic team at ADSP, committed to innovation and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a tangible impact with your work while collaborating with talented peers.
- Qualifications: Experience in Python and machine learning techniques; teamwork and problem-solving skills are essential.
- Other info: Inclusive hiring process with a focus on equal opportunities for all candidates.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Machine Learning Engineer who enjoys seeing their work used as part of 'real-life' solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to hear from you!
KEY RESPONSIBILITIES:
- Participate in the design, development, testing, and evaluation of data science solutions
- Train and deploy state-of-the-art machine learning models
- Build processes for extracting, cleaning and transforming data (SQL / Python)
- Ad-hoc data mining for insights using Python + Jupyter notebooks
- Present insights and predictions in live dashboards using Tableau / PowerBI
- Support the presentation of findings to clients through written documentation, calls and presentations
- Adopt data science best-practice e.g. Git / Docker / cloud deployment
REQUIREMENTS (Essential):
- Experience with applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)
- Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices
- Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL
- Strong foundation in mathematics and statistics
- Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy)
- Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data
- Familiarity with Git as part of the development process
- Effective organisational skills e.g. planning, time management
- Effective problem-solving and analytical skills
- High attention to detail
- Ability to work independently and as part of a team
- Understanding of classical machine learning concepts and principles (e.g. xgboost, regression, decision trees)
REQUIREMENTS (Non-Essential):
- Experience of contributing to the design, development, testing, and deployment of data science and AI solutions
- Basic knowledge of database systems (e.g., SQL, NoSQL) and familiarity with cloud platforms (e.g., AWS, GCP, Azure)
- Excellent communication skills through written reports and presentations
INTERVIEW PROCESS:
- Stage 1: 20 min video call with a member of the hiring team
- Stage 2: 45 mins live coding task
- Stage 3: 90 min F2F interview in our London office
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 at careers@adsp.ai
AI Engineer in London employer: Applied Data Science Partners
Contact Detail:
Applied Data Science Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Get to know the company culture! Before your interview, do a bit of research on ADSP. Check out their website and social media to understand their values and projects. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Brush up on your coding skills, especially in Python and SQL. Try solving some machine learning problems or building a small project to showcase during your interview. It’s a great way to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for the live coding task! Make sure you’re comfortable with the tools and libraries mentioned in the job description, like xgboost and Pandas. Practising coding challenges on platforms like LeetCode or HackerRank can really boost your confidence for this part of the interview.
✨Tip Number 4
Don’t forget to ask questions! At the end of your interview, have a few thoughtful questions ready about the team, projects, or company goals. This shows your enthusiasm and helps you determine if ADSP is the right fit for you. Plus, it’s a great way to engage with your interviewers!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with machine learning techniques and collaborative projects. We want to see how your skills align with our needs, so don’t hold back!
Showcase Your Projects: Include examples of your previous work, especially any data science solutions you've designed or deployed. We love seeing real-life applications of your skills, so share those insights and results!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Tech
Make sure you're well-versed in the machine learning techniques mentioned in the job description, like xgboost and regression. Brush up on your Python skills, especially with libraries like sklearn and Pandas, so you can confidently tackle any technical questions.
✨Show Your Team Spirit
Since collaboration is key for this role, be ready to discuss your experience working in a team. Share examples of how you've used tools like Git to contribute to projects and how you’ve communicated findings effectively with your teammates.
✨Prepare for Live Coding
The live coding task is a big part of the interview process, so practice coding under time constraints. Use platforms like LeetCode or HackerRank to sharpen your skills, and make sure you can explain your thought process as you code.
✨Communicate Clearly
During the interview, focus on presenting your insights clearly and concisely. Whether it's through written documentation or verbal communication, practice explaining complex concepts in a way that's easy to understand, as you'll need to do this with clients too.