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- Tasks: Design and build innovative AI solutions to tackle real business challenges.
- Company: Join Accenture, a leader in tech innovation and collaboration.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Flexible working environment with opportunities for career growth and development.
- Why this job: Be at the forefront of AI technology and make a meaningful impact.
- Qualifications: Experience with AI/ML technologies and cloud-based solutions is essential.
The predicted salary is between 36000 - 60000 £ per year.
Location: London
Salary: Competitive salary and package dependent on experience
Overview: Work on innovative projects with cutting-edge AI and GenAI technologies. Drive collaboration from strategy through to implementation and help clients reach the next level.
Responsibilities:
- Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies and engineering patterns.
- Work in multi-disciplinary teams to build complex solutions working from inception through to production and operations.
- Contribute to the technology strategy and solution design, managing and supporting other developers.
- Contribute to the Accenture Data & AI community, sharing insights and experience of using emerging technologies on client deliveries and through research.
Qualifications:
- AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB.
- Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models.
- Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms.
- SW Engineering and DevSecOps.
Set Yourself Apart:
- Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty).
- Building PoCs to aid learning.
- Experience of delivering production AI/ML services for scaled end user consumption.
Benefits: Competitive basic salary and an extensive benefits package including 25 days’ vacation per year, private medical insurance, and 3 extra days leave per year for charitable work of your choice.
Flexibility and Mobility: May require spending time onsite with clients and partners to enable delivery of first-class services.
Equal Opportunity Employer: Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
Closing Date for Applications: 28/11/25. Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
Full Stack LLM Development Associate Manager in London employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack LLM Development Associate Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 AI/ML technologies. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to full stack development and AI/ML. Practice makes perfect, so consider mock interviews with friends or mentors.
✨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. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Full Stack LLM Development Associate Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Full Stack LLM Development Associate Manager role. Highlight your experience with AI/ML technologies and any relevant projects you've worked on.
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 specific technologies you’ve worked with.
Showcase Your Projects: If you've built any proof of concepts or have experience with cloud-based solutions, make sure to include them in your application. We love seeing real examples of your work and how you tackle challenges!
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 and shows us you’re serious about joining our innovative team!
How to prepare for a job interview at Accenture
✨Know Your Tech Inside Out
Make sure you’re well-versed in AI/ML platform technologies like Sagemaker, Azure ML, and OpenAI. Brush up on architectural patterns and best practices, as you might be asked to discuss how you would implement these in real-world scenarios.
✨Showcase Your Collaboration Skills
Since the role involves working in multi-disciplinary teams, be ready to share examples of past collaborations. Highlight how you’ve driven projects from inception to production, and how you’ve supported other developers along the way.
✨Prepare for Problem-Solving Questions
Expect to tackle questions that assess your problem-solving abilities. Think of specific use-cases where you’ve designed solutions to overcome business challenges using cutting-edge technologies. Be ready to explain your thought process!
✨Demonstrate Your Passion for Learning
With the fast-paced nature of AI and GenAI, show your enthusiasm for continuous learning. Mention any certifications you have, like AWS Certified Machine Learning, and discuss any personal projects or PoCs you’ve built to deepen your understanding.