At a Glance
- Tasks: Design and implement cutting-edge AI solutions for top-tier clients.
- Company: Join a leading global consultancy with a focus on innovation.
- Benefits: Enjoy a competitive salary, hybrid working, and a comprehensive benefits package.
- Other info: Flexible work environment with strong career progression opportunities.
- Why this job: Make a real impact in the AI field while advancing your career.
- Qualifications: Experience in AI Engineering and cloud platforms like Azure, AWS, or GCP.
The predicted salary is between 70000 - 70000 € per year.
Office location to choose from: Glasgow, London or Manchester
Hybrid Working - 1-2 days per week in the office
£70,000 + Benefits, Training & Bonus Package
Full Time | Permanent
Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant / Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design, build and scale enterprise-grade AI, Machine Learning and Generative AI solutions.
The successful candidate will play a key role in bridging the gap between AI experimentation and real-world business adoption, delivering robust, scalable and responsible AI solutions across a range of high-profile client engagements.
Key responsibilities will include:
- Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring
- Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks
- Implementing MLOps frameworks, governance and best practices
- Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP
- Collaborating with technical and non-technical stakeholders to deliver measurable business value
- Supporting innovation initiatives, reusable assets, thought leadership and client proposals
Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling.
Applicants will ideally demonstrate:
- Experience working in a major Consulting firm, and/or in industry
- A strong consulting mindset with experience engaging senior stakeholders
- Proven experience designing and delivering AI/ML solutions at scale
- Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks
- Experience with at least one major cloud platform including Azure, AWS or GCP
You need to have resided in the UK for the last 5 years to be able to apply for this role. This is an excellent opportunity to join a forward-thinking consultancy delivering innovative AI solutions for major enterprise clients, while benefiting from strong career progression, flexible hybrid working and an excellent package.
Senior AI Engineer - Consulting in City of London employer: Deerfoot Recruitment Solutions
Join a leading global consultancy that champions innovation and excellence in AI solutions, offering a dynamic work culture that prioritises employee growth and collaboration. With flexible hybrid working arrangements and a competitive benefits package, including training and bonuses, this role provides an exceptional opportunity to make a meaningful impact while advancing your career in a supportive environment. Located in vibrant cities like Glasgow, London, or Manchester, you'll be part of a forward-thinking team dedicated to delivering cutting-edge AI technologies to high-profile clients.
Contact Detail:
Deerfoot Recruitment Solutions Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - Consulting in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that Senior AI Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on how you've solved real-world problems using AI and MLOps. Remember, they want to see your thought process and how you tackle challenges!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing the job. We’re always on the lookout for talented individuals like you, and applying directly helps us keep track of your application!
We think you need these skills to ace Senior AI Engineer - Consulting in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI Engineering, MLOps, and cloud platforms like Azure, AWS, or GCP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention any consulting experience and your ability to engage with stakeholders.
Showcase Your Projects:If you've worked on any impressive AI/ML projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to deliver scalable solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Deerfoot Recruitment Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, MLOps, and cloud platforms like Azure, AWS, and GCP. Be ready to discuss specific projects you've worked on, especially those involving Generative AI and Agentic AI solutions.
✨Showcase Your Consulting Skills
Since this role involves engaging with senior stakeholders, practice articulating how you've successfully communicated complex technical concepts to non-technical audiences. Highlight any experience you have in a consulting environment and how it helped deliver business value.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on tools like LangChain, MLflow, and CI/CD practices. Be prepared to explain how you've implemented these technologies in past projects and the impact they had.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI solutions, their innovation initiatives, and how they measure success in client engagements. This shows your genuine interest and helps you assess if it's the right fit for you.
