At a Glance
- Tasks: Design and build scalable data pipelines for AI and machine learning applications.
- Company: Leading tech firm investing heavily in Data and ML Engineering.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Be part of a dynamic environment shaping the future of intelligent products.
- Why this job: Join a multidisciplinary team tackling cutting-edge challenges in AI and data engineering.
- Qualifications: Experience with GCP, Vertex AI, Python, and modern data pipelines.
The predicted salary is between 60000 - 80000 £ per year.
If you want to work at the intersection of Data and ML as a modern Data Engineer on GCP, this is the role for you. This is an opportunity to join a market leading client that is building next-generation products and platforms leveraging large-scale data processing, machine learning, and generative AI technologies. They are making significant long-term investment in Google Cloud, with GCP and Vertex AI sitting at the centre of their future technology strategy.
Why this role stands out:
- Work at the intersection of Data Engineering and Machine Learning
- Build on a modern, GCP-first technology stack with Vertex AI as a core platform capability
- Develop platforms and services that power next-generation AI and generative AI applications
- Significant ownership and influence over platform design and technical direction
- Join a multidisciplinary team of engineers, researchers, and data scientists working on genuinely cutting‑edge challenges
The role:
As a Data and AI Engineer, you'll operate where Data Engineering and Machine Learning Engineering converge. Part of your role will involve designing and building the data foundations that make machine learning possible, creating scalable data pipelines, optimising data movement, and ensuring high-quality datasets are available for experimentation and production use. Equally, you'll help build the infrastructure and services that enable AI applications to run reliably at scale, supporting model development, training, inference, and deployment workflows on GCP. It's a broad engineering role that would suit someone who enjoys working across traditional boundaries and wants to be involved in the full lifecycle of modern data and AI systems.
You’ll be responsible for:
- Building scalable data pipelines that support analytics and machine learning workloads
- Designing and developing cloud-native platforms on Google Cloud Platform
- Developing services and APIs that connect applications with AI and data processing workflows
- Enabling machine learning and generative AI use cases through robust platform engineering
- Supporting model training, experimentation, and deployment workflows on Vertex AI
- Improving platform reliability, observability, and data quality standards
- Working closely with engineers, data scientists, and researchers to deliver production-grade AI solutions
- Optimising data storage and processing for high-volume, compute-intensive workloads
What we’re looking for:
- Experience building cloud-native data platforms on GCP
- Hands‑on experience with Vertex AI and familiarity with modern machine learning workflows
- Excellent Python and SQL engineering skills
- Experience developing modern data pipelines and orchestration frameworks
- Understanding of MLOps principles and the infrastructure required to support machine learning systems in production
- Exposure to unstructured data workloads, vector search, or LLM applications would be highly beneficial
This is an opportunity to join an organisation making a serious investment in their Data and ML Engineering capability, working on genuinely interesting technical challenges and helping build the platforms that will underpin the next generation of intelligent products and services.
Data and AI Engineer in London employer: KDR Talent Solutions
Join a forward-thinking company that prioritises innovation and employee development, offering a collaborative work culture where your contributions directly impact the future of AI and data engineering. With a strong commitment to leveraging cutting-edge technologies like GCP and Vertex AI, you'll have the opportunity to work on exciting projects while enjoying competitive salaries and flexible remote working options in London. This role not only provides significant ownership over technical direction but also fosters growth through multidisciplinary teamwork and exposure to advanced machine learning applications.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Engineer in London
✨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 KDR Talent Solutions!
✨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 Data and AI Engineer at KDR Talent Solutions.
✨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 KDR Talent Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data and AI Engineer at KDR Talent Solutions, 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 Data and AI Engineer in London
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 KDR Talent Solutions, 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 KDR Talent Solutions. 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 KDR Talent Solutions
✨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 KDR Talent Solutions!
✨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.
