At a Glance
- Tasks: Design and deliver AI/ML solutions that create real business impact.
- Company: Join a top-ranked global technology consultancy with a vibrant culture.
- Benefits: Enjoy hybrid working, flexible hours, and an attractive benefits package.
- Other info: Great career growth opportunities in a dynamic and supportive environment.
- Why this job: Work on cutting-edge AI projects and shape the future of technology.
- Qualifications: Experience in AI/ML solutions and a passion for learning new technologies.
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.
What the role involves:
- Designing and delivering full AI/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores
- Architecting GenAI solutions: 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
- Contributing to demos, proposals, thought leadership, and reusable delivery accelerators
What my client is looking for:
- 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
- Proficiency in CI/CD and containerisation (Docker, Kubernetes, GitHub Actions or similar)
- A consulting mindset — comfortable with clients, comfortable with ambiguity
You won't need to tick every technology on the list. They value a strong foundation, genuine curiosity, and the ability to learn fast.
Eligibility:
Candidates must hold SC clearance or have resided in the UK for the last 5 years. Hybrid working, flexible arrangements, and a strong benefits package are all on offer.
AI Engineering Consultant in London employer: Fortice
Join a globally recognised technology and transformation consultancy that is consistently rated as one of the best employers in the UK. With a strong focus on employee growth, you will benefit from hybrid working arrangements, a comprehensive benefits package, and a collaborative work culture that encourages innovation and learning. This role offers the unique opportunity to work on cutting-edge AI projects that deliver real business impact across diverse sectors, making it an ideal environment for those looking to advance their careers in AI engineering.
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We think this is how you could land AI Engineering Consultant in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Engineering Consultant in London
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!
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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.
