At a Glance
- Tasks: Design and implement cutting-edge AI solutions for major 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 working 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 employer: Deerfoot Recruitment Solutions Limited
Deerfoot Recruitment is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI. With flexible hybrid working arrangements and a commitment to employee growth through comprehensive training and career progression opportunities, you will be part of a forward-thinking consultancy that values your contributions while making a positive impact on society. Join us in Glasgow, London, or Manchester, and enjoy a competitive salary alongside a robust benefits package, all while working on high-profile projects that shape the future of AI solutions.
Contact Detail:
Deerfoot Recruitment Solutions Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - Consulting
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the AI space. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving AI/ML solutions. Share them on platforms like GitHub or LinkedIn to catch the eye of potential employers.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to each one. Highlight how your skills in AI engineering and MLOps can specifically benefit their projects. Personalisation shows you’re genuinely interested!
✨Apply Through Our Website
We’ve got some fantastic roles listed on our website, so don’t miss out! Applying directly through us not only gives you a better chance but also keeps you in the loop about new opportunities as they come up.
We think you need these skills to ace Senior AI Engineer - Consulting
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 match 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 great fit for our team. Don’t forget to mention any relevant consulting experience you've had.
Showcase Your Projects:If you've worked on any impressive AI projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to deliver scalable AI 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 from us!
How to prepare for a job interview at Deerfoot Recruitment Solutions Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, MLOps, and cloud-native platforms like Azure, AWS, and GCP. Be ready to discuss specific projects where you've designed and implemented AI solutions, as this will show your hands-on experience.
✨Speak Their Language
Familiarise yourself with the key responsibilities mentioned in the job description. Use relevant terminology when discussing your experience, especially around Generative AI and Agentic AI. This will demonstrate that you understand the role and can communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Consulting Skills
Since this role involves engaging with senior stakeholders, prepare examples of how you've successfully navigated similar situations in the past. Highlight your consulting mindset and how you've delivered measurable business value through your AI solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and their current projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.
