At a Glance
- Tasks: Design and deploy scalable AI/ML solutions across various business areas.
- Company: Join a global leader in AI technology with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enjoy excellent career advancement opportunities.
- Why this job: Be at the forefront of AI development and make a real impact.
- Qualifications: Experience in Azure AI foundry, Multi Agents, and cloud solution development required.
Senior AI/ML Research Engineer (Azure AI foundry, Multi Agents and Azure Cloud) £Certain Advantage are recruiting on behalf of our global client for a Senior AI/ML Research Engineer with experience in Azure AI foundry, Multi Agents and Azure Cloud solution development. You’ll be a key member of the GenAI team within the responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability, and scalability standards. You will lead end-to-end AI/ML solution development from data exploration and experimentation through to deployment, monitoring, and continuous optimisation. Working closely with cross-functional teams including data engineering, infrastructure, DevOps, and product management you’ll translate business needs into robust, reusable machine learning architectures. Experience in Azure AI foundry, Multi Agents and Azure Cloud solution development is essential. We need Engineers with demonstrable experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI. You must have experience in the development of enterprise-grade RAG systems, including context engineering and multimodal data pipelines. We also need candidates offering experience in the design and deployment of autonomous multi-agent systems using modern orchestration frameworks and evaluation approaches. Experience delivering Text-to-SQL solutions and natural language interfaces for structured data environments. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips
AI Engineer (Remote) in York employer: Tatton Recruitment
Tatton Recruitment offers an exceptional work environment for TIG Pipe Welders in Bromborough, where collaboration and quality craftsmanship are at the forefront of our operations. With competitive pay rates and ample overtime opportunities, we prioritise employee growth and development, ensuring that our team members thrive both professionally and personally in a supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote) in York
✨Get Involved in Data Science Meetups
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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 Tatton Recruitment.
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When you find a suitable opening like AI Engineer (Remote) at Tatton Recruitment, 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 Engineer (Remote) in York
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 Tatton Recruitment, 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 Tatton Recruitment. 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 Tatton Recruitment
✨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 Tatton Recruitment!
✨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.