At a Glance
- Tasks: Lead AI projects, architect solutions, and deploy cutting-edge generative AI systems.
- Company: Global finance tech consultancy with a focus on innovation.
- Benefits: Salary up to £125k, private medical care, gym membership, and flexible holidays.
- Other info: Collaborative environment with opportunities for career growth and development.
- Why this job: Join a dynamic team and make a real impact in the financial services sector.
- Qualifications: Experience with LLMs, strong Python skills, and a degree in Computer Science or related field.
The predicted salary is between 125000 - 125000 € per year.
Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations.
What's in it for you:
- Salary to £125k
- Pension, Life Assurance, Income Protection
- Private medical care for you and your family, including mental health
- Travel Insurance
- Charitable giving
- Gym membership for you and your family
- Flexible holiday scheme
Your role:
As a Lead AI Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross-functional collaboration. This is a highly technical role where you'll be leading client projects, productionising systems and running multi-modal LLMs, using your expertise to build and deploy cutting-edge generative AI and agentic systems across the financial services sector.
About you:
- You have hands-on experience deploying LLMs and multi-modal models at scale in production
- You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment
- You have strong Python coding skills and API development skills
- You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments
- You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines
Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques.
Lead AI Engineer Python LLM - Tech Consultancy in Slough employer: Client Server
Join a leading global finance technology consultancy that prioritises innovation and employee well-being. With a competitive salary of up to £125k, comprehensive benefits including private medical care, flexible holiday schemes, and opportunities for professional growth, you will thrive in a collaborative work culture that values your expertise in AI and MLOps. This role not only allows you to work on cutting-edge projects with prestigious clients but also supports your personal development in a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer Python LLM - Tech Consultancy in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and finance sectors. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI solutions. This is your chance to demonstrate your hands-on experience and technical prowess, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving and coding skills. Practice common technical questions related to Python and MLOps. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, go ahead and hit that apply button!
We think you need these skills to ace Lead AI Engineer Python LLM - Tech Consultancy in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI, LLMs, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Since this is a highly technical role, make sure to detail your hands-on experience with deploying LLMs and MLOps. We’re looking for specifics, so mention any frameworks or tools you’ve worked with that are relevant to the job.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI, LLMs, and MLOps. Be ready to discuss your hands-on experience with deploying LLMs and multi-modal models at scale. They’ll likely ask for specific examples, so have a couple of projects in mind that showcase your skills.
✨Showcase Your Python Skills
Since strong Python coding skills are crucial for this role, be prepared to demonstrate your proficiency. You might be asked to solve a coding problem or explain your approach to API development, so practice common algorithms and be ready to talk through your thought process.
✨Highlight Collaboration and Communication
This role requires advanced stakeholder communication and collaboration. Think of instances where you've successfully worked in cross-functional teams or managed projects in Agile environments. Be ready to share how you navigated challenges and ensured everyone was on the same page.
✨Research the Company and Its Clients
Familiarise yourself with the consultancy's work with global investment banks and financial services organisations. Understanding their business model and the challenges they face will help you tailor your answers and show that you're genuinely interested in contributing to their success.
