Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate on innovative AI projects and solve real-world problems with cutting-edge technology.
- Company: Join PA Consulting, a forward-thinking firm dedicated to building a positive human future.
- Benefits: Enjoy private healthcare, generous leave, performance bonuses, and a supportive work culture.
- Other info: Flexible hybrid working and opportunities for continuous learning and growth.
- Why this job: Make an impact in AI while working with experts in a dynamic, collaborative environment.
- Qualifications: Passion for AI, strong coding skills, and a collaborative mindset are essential.
The predicted salary is between 70000 - 90000 £ per year.
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.
What You Can Expect
- Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects.
- Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.
- Hybrid working with the team on client site or in our office a minimum of two days per week. The actual time you spend and where you spend it will vary by role or assignment, including up to five days per week on a client site.
- Work on a broad variety of projects and tech stacks for clients across seven sectors.
- Join other experts within a supportive and collaborative tech community through knowledge sharing, peer support, coaching and mentoring.
- Deepen your expertise through a culture of learning and growth with budget for courses (technical and non-technical) and certifications.
- Explore generative AI frameworks and tools and build prototypes with retrieval-augmented generation (RAG) and knowledge graphs.
- Develop and test agentic architectures, using our Genie Platform to enable AI agents that reason, retrieve, and act across systems.
- Learn about LLMOps, evaluation tools, and model observability platforms.
- Deploy solutions on modern cloud and DevOps environments (AWS, Azure, GCP) with best-fit tooling per problem.
Qualifications
- Software engineers with a passion for AI, or data scientists who’ve embraced engineering.
- People who experiment, prototype, and explore emerging AI tools in their own time.
- Strong foundation in a language suited to AI system development and data workflows.
- Experience integrating models with APIs, data sources, or production systems.
- Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks.
- Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices.
- A collaborative mindset and willingness to share, learn, and teach.
- Understanding of prompt and context engineering and model evaluation.
- Solid grasp of distributed systems, microservices, and RESTful APIs.
- An understanding of LLMOps tools for managing GenAI workflows.
Additional information
Assessment process: The interview stages may be subject to change based on the requirements of the role.
- Quick call with a Tech Recruiter to discuss your application, the role, and PA.
- Round 1: Competency or technical interview (60 mins).
- Round 2: Competency or technical interview (60 mins).
- Final round: Meeting with a PA leader including a mini case study and discussion around client-centricity (60 mins).
Benefits
- Health and lifestyle perks including private healthcare for you and your family.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the option to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity initiatives.
- Annual performance-based bonus.
- PA share ownership and tax-efficient benefits (cycle to work, give as you earn).
EEO and Accommodations
We are committed to advancing equality and recruit, retain, reward and develop our people based on abilities and contributions. Adjustments or accommodations for the recruitment process can be requested by contacting.
Senior AI Engineer in London employer: Consultancy.uk
Contact Detail:
Consultancy.uk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common interview questions. We want you to feel confident and ready to showcase your skills, especially when discussing AI and tech stacks.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having a portfolio of your work can really set you apart. We love seeing what you’ve built and how you’ve tackled challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see what you bring to the table!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your passion for AI and any relevant projects you've worked on. We want to see how you can bring your unique flair to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're excited about this role and how your background makes you a perfect fit. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects: If you've got any personal or professional projects related to AI, make sure to mention them! We’re keen on seeing how you experiment and prototype with emerging tools. This is your opportunity to demonstrate your hands-on experience and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at PA Consulting!
How to prepare for a job interview at Consultancy.uk
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks, especially generative AI and LLMOps. Be ready to discuss your experience with integrating models and APIs, as well as any personal projects you've worked on that showcase your passion for AI.
✨Show Off Your Problem-Solving Skills
Since the role involves live whiteboarding sessions, practice explaining your thought process while solving problems. Use examples from past experiences where you tackled complex issues, and be prepared to demonstrate your collaborative mindset during these exercises.
✨Familiarise Yourself with Agile Practices
PA Consulting values agile methodologies, so make sure you understand how they work. Be ready to discuss your experience working cross-functionally and how you've contributed to agile teams in the past. Highlight any specific tools or practices you’ve used to enhance team collaboration.
✨Prepare for Client-Centric Discussions
In the final round, you'll need to demonstrate your understanding of client needs. Think about how you've approached client-centric projects before and be ready to share insights on how you can contribute to PA's mission of delivering customer-centric solutions.