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- Tasks: Design and deploy cutting-edge AI solutions that drive business strategy.
- Company: Leading international organisation with a focus on innovation and collaboration.
- Benefits: Hybrid working, global exposure, and professional development opportunities.
- Why this job: Make a measurable impact while working with advanced AI technologies.
- Qualifications: Experience in AI/ML solutions, Python, and cloud platforms like Azure.
- Other info: Join a diverse team in a supportive culture that values inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to bring cutting‑edge AI and data science engineering into a global, high‑calibre professional services environment? A leading international organisation is looking for a Data Science Engineer to join its London technology function. You will help design, build, and deploy production‑ready AI and advanced analytics solutions that directly support business strategy. This role suits someone who thrives on end‑to‑end ownership, enjoys collaborating with data scientists and IT engineers, and wants to see their work make a measurable impact.
What’s in it for you:
- Hybrid working with three days in the London office
- Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain
- Global exposure and the opportunity to work with senior stakeholders across time zones
- A collaborative, supportive culture that encourages innovation and professional development
What you will be doing:
- Designing, building, and deploying AI and data science solutions end‑to‑end
- Implementing MLOps foundations including CI/CD, automated testing, monitoring, drift detection and model versioning
- Building generative AI features such as RAG pipelines, embeddings, and AI agents
- Developing clean, testable code and APIs using modern engineering practices
- Ensuring technical delivery aligns with security, governance, architecture, and enterprise standards
- Evaluating and piloting new technologies to enhance scalability, reliability, and performance
What you will bring:
- Hands‑on experience delivering AI/ML solutions into production environments
- Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (Azure preferred)
- Experience operationalising models using tools such as Azure ML, Databricks, MLflow
- Understanding of data engineering, data governance, and lakehouse architectures
- Excellent communication skills with the ability to simplify complex concepts for non‑technical stakeholders
- A proactive, collaborative mindset and the ability to work in a diverse, global team
If you are motivated by solving complex problems and building responsible, scalable AI at enterprise level, this is a standout opportunity. Ready to take the next step? Apply today, and let’s have a confidential conversation about the role.
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds.
Data Science Engineer in City of London employer: Picture More Ltd
Contact Detail:
Picture More Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that job postings just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and data science projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. Mock interviews with friends or using online platforms can help you feel more confident and ready to tackle any question thrown your way.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Science Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Science Engineer role. Highlight your hands-on experience with AI/ML solutions and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Don't forget to mention your collaborative mindset and experience with tools like Azure ML and Databricks.
Showcase Your Projects: If you've got a portfolio or examples of your work, include them! We love seeing real-world applications of your skills, especially if they involve building and deploying AI solutions. It gives us a taste of what you can bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Picture More Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Azure ML, and Databricks. Brush up on your knowledge of MLOps and be ready to discuss how you've implemented these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved using AI and data science. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight the impact of your work.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Think about how you can convey your ideas clearly and concisely, demonstrating your excellent communication skills.
✨Emphasise Collaboration
This role requires working closely with data scientists and IT engineers, so be prepared to discuss your experience in collaborative environments. Share examples of how you’ve worked in diverse teams and contributed to a supportive culture.
