At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions using Python and modern frameworks.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with endless learning and career advancement opportunities.
- Why this job: Make a real impact by working on transformative AI applications and technologies.
- Qualifications: Strong Python skills and experience with AI/ML frameworks required.
The predicted salary is between 70000 - 90000 £ per year.
Design, develop, and deploy AI/ML solutions using Python and modern ML frameworks. Build and optimize Generative AI applications leveraging LLMs such as GPT, Claude, and Llama. Develop and maintain RAG-based systems using vector databases such as Pinecone, Weaviate, or ChromaDB. Implement NLP pipelines for document intelligence, entity extraction, text classification, semantic search, and conversational AI. Fine-tune, evaluate, and monitor machine learning and deep learning models. Build scalable MLOps pipelines for model deployment, monitoring, versioning, and governance. Collaborate with data scientists, architects, product owners, and business stakeholders to deliver AI-driven solutions. Implement AI governance, model explainability, bias detection, and compliance controls. Integrate AI solutions with enterprise systems through APIs and microservices.
Required Skills
- Strong programming skills in Python.
- Experience with TensorFlow, PyTorch, Hugging Face, LangChain, and LlamaIndex.
- Hands‑on experience with LLMs, Generative AI, Prompt Engineering, and RAG architectures.
- Experience with Vector Databases (Pinecone, Weaviate, ChromaDB).
- Strong understanding of NLP, Deep Learning, Transformers, and Machine Learning algorithms.
- Experience with AWS SageMaker, Azure ML, or GCP Vertex AI.
- Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices.
- Strong SQL and data engineering fundamentals.
AI/ML Engineer employer: Infinity Quest
As an AI/ML Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, all within a vibrant location that fosters technological advancement and community engagement. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer
✨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 Infinity Quest!
✨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 AI/ML Engineer at Infinity Quest.
✨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 Infinity Quest.
✨Apply Directly through Our Website
When you find a suitable opening like AI/ML Engineer at Infinity Quest, 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 AI/ML Engineer
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 Infinity Quest, 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 Infinity Quest. 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 Infinity Quest
✨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 Infinity Quest!
✨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.
