At a Glance
- Tasks: Design and build scalable AI applications that shape the future of business.
- Company: Innovative company investing heavily in AI and modern data platforms.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Exciting chance to mentor junior engineers and influence AI strategy.
- Why this job: Join a team that's genuinely pushing the boundaries of AI technology.
- Qualifications: 3-5+ years in AI Engineering, strong Python and SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
Are you passionate about building real world AI solutions rather than just experimenting with the latest tools?
We're working with an innovative business that's investing heavily in AI and modern data platforms.
They're looking for an AI Engineer to play a key role in designing, building, and deploying production-grade AI applications that will directly shape the future of the business.
This is an exciting opportunity to work across the full AI lifecycle, from scalable data engineering through to Generative AI, Retrieval-Augmented Generation (RAG), vector search, and agentic AI workflows.
- What you'll be doing
- Designing and building scalable data pipelines using Python, Py Spark, SQL and Databricks
- Developing AI powered applications using LLMs, embeddings, vector databases and RAG architectures
- Building prompt engineering workflows, evaluation frameworks and AI guardrails
- Integrating AI services into customer-facing products and internal platforms
- Working closely with Product, Data and Engineering teams to deliver high-impact AI solutions
- Supporting machine learning model deployment and productionisation
- Implementing monitoring, observability and data quality across AI systems
- Mentoring junior engineers and helping shape engineering best practice
- Contributing to the future AI strategy and architecture of the business
What we're Looking For
- 3-5+ years' experience in AI Engineering, Data Engineering or Machine Learning Engineering
- Strong commercial experience with Python and SQL
- Hands on experience with Databricks and modern ETL/ELT pipelines
- Experience building production AI or machine learning solutions
• Commercial knowledge of
- Retrieval Augmented Generation (RAG)
- Prompt Engineering
- Embeddings & Vector Search
- Experience working with Azure or GCP
- Strong understanding of data engineering, modelling and data quality
- Excellent communication skills with both technical and non technical stakeholders
- Nice to Have
- Agentic AI experience
- Lang Chain, Llama Index or Semantic Kernel
- Pinecone, Weaviate, FAISS or Azure AI Search
- Docker, Kubernetes or CI/CD
Why Apply?
This is a fantastic opportunity to join a business that's genuinely investing in AI rather than simply talking about it.
You'll work on cutting edge technologies, influence technical direction, collaborate with highly talented engineers, and help build AI products that deliver real business value.
If you're looking for a role where you can combine modern data engineering with the latest AI technologies in a collaborative environment, I'd love to hear from you.
Apply today or message me directly for a confidential chat.
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Data & AI Engineer in London employer: Primus Connect
Join a dynamic and innovative company that prioritises collaboration and employee growth, making it an excellent employer for a Data Engineering Manager. With a strong focus on mentorship, you will have the opportunity to lead a growing team while working in a vibrant office environment in central London/Guildford, complete with a free onsite restaurant and gym. This role not only allows you to shape impactful data platforms but also fosters a culture of rapid delivery and teamwork, ensuring your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data & 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 Primus Connect!
✨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 & AI Engineer at Primus Connect.
✨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 Primus Connect.
✨Apply Directly through Our Website
When you find a suitable opening like Data & AI Engineer at Primus Connect, 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 & 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 Primus Connect, 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 Primus Connect. 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 Primus Connect
✨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 Primus Connect!
✨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.
