At a Glance
- Tasks: Transform AI prototypes into impactful production systems for diverse clients.
- Company: Top-ranked global tech consultancy with a vibrant work culture.
- Benefits: Hybrid working, flexible hours, and an attractive benefits package.
- Other info: Embrace a dynamic environment with opportunities for rapid growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in AI/ML solutions and cloud-native architectures.
The predicted salary is between 80000 - 100000 £ per year.
We’re partnering with a global technology and transformation consultancy — consistently ranked among the best places to work in the UK — to find an AI Engineer for their expanding Data & AI practice.
They are looking for someone who can take AI from prototype to production, building and operationalising ML and GenAI systems that land real business impact for enterprise clients across the public and private sectors.
- Designing and delivering full AI/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores.
- RAG pipelines, agentic workflows, LLM orchestration across Azure, GCP, or AWS.
- Building with the latest agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK and more).
- Embedding MLOps best practices, governance, and responsible AI guardrails into client engagements.
- Translating business requirements into technical blueprints alongside data scientists, product managers, and client stakeholders.
- Hands-on experience designing and delivering AI/ML solutions at scale, from concept to production.
- Strong grounding in GenAI and Agentic AI — RAG, embeddings, evaluation, orchestration.
- Cloud-native architecture experience across Azure, GCP, and/or AWS.
They value a strong foundation, genuine curiosity, and the ability to learn fast. Hybrid working, flexible arrangements, and a strong benefits package are all on offer.
AI engineer advisor employer: Fortice
Join a globally recognised technology and transformation consultancy that prioritises employee satisfaction and growth. With a strong emphasis on hybrid working and flexible arrangements, you will benefit from a comprehensive package that supports your professional development while working on cutting-edge AI projects that drive real business impact. This is an exceptional opportunity to collaborate with talented professionals in a dynamic environment across major UK cities like London, Manchester, and Glasgow.
StudySmarter Expert Advice🤫
We think this is how you could land AI engineer advisor
✨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 Fortice!
✨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 engineer advisor at Fortice.
✨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 Fortice.
✨Apply Directly through Our Website
When you find a suitable opening like AI engineer advisor at Fortice, 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 advisor
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 Fortice, 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 Fortice. 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 Fortice
✨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 Fortice!
✨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.
