At a Glance
- Tasks: Design and develop AI-powered tools and machine learning models for a global SaaS platform.
- Company: Join a forward-thinking tech company focused on impactful AI solutions for nonprofits.
- Benefits: Enjoy a competitive salary, flexible remote work, generous holidays, and a learning budget.
- Other info: Collaborative environment with opportunities for professional growth and community engagement.
- Why this job: Make a real-world impact by building cutting-edge machine learning systems and applications.
- Qualifications: 2+ years in data science or ML engineering with strong Python and cloud experience.
The predicted salary is between 55000 - 60000 £ per year.
We’re looking for a Data Scientist / Machine Learning Engineer to help design and develop the next generation of AI-powered tools within a global SaaS platform used by nonprofit organisations worldwide.
In this role, you’ll take a hands-on approach to building and deploying machine learning models, working with large datasets to generate insights and predictions that drive real-world outcomes. You’ll also help shape the organisation’s machine learning roadmap and AI strategy. This is an exciting opportunity for someone who enjoys working across the full ML lifecycle—from model design and experimentation through to production deployment in the cloud.
Key Responsibilities
- Design and develop a Python-based machine learning platform
- Build and deploy predictive models such as propensity scoring and churn prediction
- Develop and maintain ML infrastructure in AWS including SageMaker, Lambda and S3
- Implement modern LLM-powered applications, including Retrieval-Augmented Generation (RAG)
- Build data pipelines and unified data structures from multiple APIs and databases
- Collaborate with engineering and product teams to identify new AI opportunities
- Continuously improve model performance, accuracy and scalability
Skills & Experience
- 2+ years of experience as a Data Scientist or Machine Learning Engineer
- Strong Python programming skills
- Experience with ML libraries such as scikit-learn
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Experience working with AWS / SageMaker or similar cloud ML platforms
- Strong data manipulation skills using NumPy, Pandas or SciPy
- Experience working with SQL and complex datasets
- Familiarity with Linux / Unix environments
Desirable Experience
- Experience working with LLMs and generative AI
- Knowledge of LangChain or similar orchestration tools
- Experience working with vector databases for RAG workflows
What’s on Offer
- Salary £50,000 – £55,000
- Flexible and remote-friendly working
- Generous holiday allowance
- Paid parental leave and sick leave
- Employer matched charitable giving programme
- Paid volunteering day each year
- Conference and learning budget to stay current with AI/ML developments
If you're passionate about building production machine learning systems and modern AI applications, we’d love to hear from you.
Data Scientist - ML Engineer employer: YourCode Recruitment
Join a forward-thinking organisation that prioritises innovation and social impact, offering a remote-friendly work environment for Data Scientists and Machine Learning Engineers. With a strong commitment to employee growth, generous benefits including paid volunteering days, and a culture that encourages collaboration and continuous learning, this is an excellent opportunity to contribute to meaningful AI solutions for nonprofit organisations worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - ML 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 YourCode Recruitment!
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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 Data Scientist - ML Engineer at YourCode Recruitment.
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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 YourCode Recruitment.
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We think you need these skills to ace Data Scientist - ML 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 YourCode Recruitment, 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 YourCode Recruitment. 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 YourCode Recruitment
✨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 YourCode Recruitment!
✨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.
