At a Glance
- Tasks: Design and implement machine learning models to solve real-world problems.
- Company: Leading AI firm focused on innovation and creativity.
- Benefits: Attractive salary, flexible hours, remote work options, and skill development.
- Other info: Fast-paced environment with opportunities for rapid career advancement.
- Why this job: Join a team pushing the boundaries of AI technology and make a difference.
- Qualifications: Experience in machine learning and programming skills required.
The predicted salary is between 28800 - 48000 £ per year.
Developing and provisioning of infrastructure that support 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
- 1. Python literacy - min 2years+ working on production grade LLM based applications
- 2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture
- 3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring
Nice to haves
- 1. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks
- 2. Data ontologies - graphical approaches to data storage + retrieval
- • Exposure to Agile/Scrum methodologies.
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ML & AI Engineer employer: Vallum Associates
Vallum Associates is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about cloud technology. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge tools in a hybrid environment, allowing for flexibility and work-life balance. Located in a vibrant area, our team enjoys a supportive atmosphere that values creativity and teamwork, making it an ideal place for professionals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land ML & AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the ML and AI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects. This can be a game-changer during interviews, as it gives us tangible proof of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practising coding challenges can help us feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are eager to join our team. It shows initiative and enthusiasm!
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML & AI Engineer role. Highlight relevant skills and experiences that match the job description. We want to see how your background aligns 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 ML and AI, and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool ML or AI projects, make sure to mention them! Whether it's a personal project or something from your studies, we want to see your practical experience and creativity in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Vallum Associates
✨Know Your Algorithms
Brush up on your machine learning algorithms and AI concepts. Be ready to explain how they work and when to use them. We recommend preparing examples from your past projects where you successfully implemented these techniques.
✨Showcase Your Projects
Bring along a portfolio of your work, including any relevant projects or contributions to open-source. We suggest discussing the challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge and skills. We advise practising coding problems and algorithm challenges beforehand. Websites like LeetCode can be great for this!
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready about the company's AI initiatives or team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
