At a Glance
- Tasks: Develop AI solutions and infrastructure for innovative banking applications.
- Company: Leading bank focused on cutting-edge technology and customer experience.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team shaping the future of conversational banking with AI.
- Qualifications: 2+ years in Python and production-grade LLM applications; strong software engineering skills.
The predicted salary is between 63000 - 77000 £ per year.
Developing and provisioning of infrastructure that supports agentic workflows across both Azure and GCP.
Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant.
Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems.
Development of new AI products for the Conversational Banking Lab, including but not limited to:
- Agent summarisation - bespoke features to summarise nuanced conversations.
- App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point.
- Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way.
Must haves:
- Python literacy - min 2 years+ working on production grade LLM based applications.
- Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture.
- AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring.
Nice to haves:
- AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks.
- Data ontologies - graphical approaches to data storage + retrieval.
- Exposure to Agile/Scrum methodologies.
ML & AI Engineer in London employer: Vallum Associates
As an Electronics Test Engineer at our company, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of technology in a collaborative work environment. We offer competitive benefits, a strong focus on employee development, and opportunities for career advancement, all while being located in a vibrant area that fosters creativity and growth. Join us to make a meaningful impact in the field of electronics testing and enjoy a rewarding career with us.
StudySmarter Expert Advice🤫
We think this is how you could land ML & 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 Vallum Associates!
✨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 ML & AI Engineer at Vallum Associates.
✨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 Vallum Associates.
✨Apply Directly through Our Website
When you find a suitable opening like ML & AI Engineer at Vallum Associates, 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 ML & 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 Vallum Associates, 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 Vallum Associates. 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 Vallum Associates
✨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 Vallum Associates!
✨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.
