At a Glance
- Tasks: Build cutting-edge data infrastructure for next-gen AI systems and tackle exciting technical challenges.
- Company: Fast-growing AI startup in London with a focus on innovation and growth.
- Benefits: Ownership from day one, competitive salary, and hands-on experience in ML and cloud infrastructure.
- Other info: Work in a dynamic startup culture with opportunities for rapid career growth.
- Why this job: Join as the first dedicated ML hire and make a real impact in a thriving environment.
- Qualifications: Strong software engineering foundation and genuine interest in MLOps and data pipelines.
The predicted salary is between 28000 - 38000 £ per year.
Graduate MLOps Engineer | London | Build the Infrastructure Behind the Next Generation of AI. Most graduate roles have you maintaining someone else's systems. This one puts you inside a small, senior engineering team at one of London's fastest growing AI startups, building the data infrastructure that next-generation AI systems are trained on.
We're partnered with a high-growth London AI company building the missing data layer for enterprise AI. Their platform turns raw multimedia content across speech, audio, video, music and computer vision into high-quality, licensed training data used by leading AI businesses. Off the back of strong commercial growth, they're now adding ML engineering capability for the first time. They are explicit about what they want: raw talent and hunger over years of experience. They will invest in developing the right person, and you'll get ownership from day one that no big-company grad scheme can match.
This role suits a recent graduate or final-year student with a strong software engineering foundation who wants to get hands-on with ML and data infrastructure from the start. The platform runs on Python, Django, Redis, Kubernetes and AWS (mid-migration to GCP), with a React frontend. You'll help build the ML tooling, data pipelines and infrastructure around it.
We're looking for someone who:
- Has a solid software engineering or computer science background
- Is genuinely interested in MLOps, data pipelines, cloud infrastructure and ML systems
- Enjoys hard technical problems and thrives in a fast-moving startup environment
- Has any exposure to AI, media, audio, speech, music or computer vision (a bonus, not a requirement)
Why this opportunity?
- Be the first dedicated ML hire: breadth and visibility you can't get anywhere else
- Work on a live AWS to GCP migration and modern cloud infrastructure
- Join a profitable, fast-scaling AI business that's hiring you to grow, not just to fill a seat
Click apply now or send your CV for a confidential conversation.
Machine Learning Engineer in Slough employer: Impala Search
Join one of London's fastest growing AI startups as a Machine Learning Engineer, where you'll be part of a small, dynamic team dedicated to building cutting-edge data infrastructure for next-generation AI systems. This role offers unparalleled ownership and growth opportunities from day one, with a strong emphasis on developing raw talent and fostering a collaborative work culture that thrives on innovation and technical challenges. Located in the heart of London, you'll enjoy the vibrant tech scene while contributing to a profitable company that values your input and encourages your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Slough
✨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 Impala Search!
✨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 Machine Learning Engineer at Impala Search.
✨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 Impala Search.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer at Impala Search, 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 Machine Learning Engineer in Slough
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 Impala Search, 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 Impala Search. 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 Impala Search
✨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 Impala Search!
✨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.
