At a Glance
- Tasks: Lead the creation of an AI Engineering function and develop practical AI solutions.
- Company: Join a major UK brand transforming its technology strategy with AI.
- Benefits: Competitive salary, career growth, and the chance to shape AI innovation.
- Other info: Exciting opportunity to build and scale new teams in a dynamic environment.
- Why this job: Make a real-world impact by turning AI into scalable business solutions.
- Qualifications: Proven leadership in Gen AI delivery and strong technical understanding.
The predicted salary is between 48000 - 72000 £ per year.
Data Idols are working with a major UK brand embarking on an exciting transformation to embed AI at the heart of its technology strategy. This is a brand-new role, a chance to build and lead an AI Engineering function from the ground up within an established enterprise.
The Opportunity
You’ll set the strategy and lead delivery for a new AI Engineering area, responsible for developing practical AI solutions, from agentic systems and intelligent agents to automation tools and advanced operational AI. You’ll also drive the adoption of Gen AI and generative capabilities across the organisation, ensuring they are translated into real, scalable business impact. This is not a research role; it’s about turning AI into real‑world value. You’ll consolidate existing ML and AI Ops teams under one function, shaping how the organisation delivers, governs, and scales AI, including generative and agentic technologies, end‑to‑end.
Skills and Experience
- Proven leadership experience in Gen AI delivery
- Hands‑on technical understanding of modern AI tooling, MLOps, and model deployment and generative/agentic AI frameworks
- Commercial mindset, experience bringing AI, including generative, use cases into production
- Strong communication skills and the ability to build and scale new teams
- Passion for AI innovation and keeping up with GenAI industry advances
If you are looking for a new challenge, please submit your CV for initial screening and more details.
AI Engineering Manager in Manchester employer: Data Science Festival
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager in Manchester
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Engineering Manager in Manchester
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 Data Science Festival, 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 Data Science Festival. 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 Data Science Festival
✨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 Data Science Festival!
✨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.
