At a Glance
- Tasks: Lead innovative AI projects and design cutting-edge technology solutions.
- Company: Join Accenture, a global leader in professional services with a focus on inclusion.
- Benefits: Enjoy 30 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Make an impact in AI while growing your skills in a dynamic environment.
- Qualifications: Experience in AI/ML technologies and cloud-based solutions is essential.
- Other info: Flexible working opportunities and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
About Accenture
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
Team Overview
Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You’ll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. As part of our team, you’ll have the opportunity to develop a wide range of new skills on the job and work with cutting-edge technologies.
Key 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 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 & Experience
- AI/ML platform technologies and services such as SageMaker/Vertex/Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, vector DB, etc.
- 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, etc.) on one or more cloud platforms.
- Software engineering and DevSecOps experience.
Set yourself apart
- Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty).
- Experience building PoCs to aid learning.
- Experience delivering production AI/ML services for scaled end-user consumption.
What’s in it for you
In addition to a competitive basic salary, you will also have overlapping benefits such as 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice.
Flexibility & Mobility
Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners.
Equal Employment Opportunity
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. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, Connections status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or relevant law. Accenture is committed to providing veteran employment opportunities to our service men and women.
Closing Date for Applications: 28/02/26
Locations: Edinburgh
Full Stack LLM Development Manager employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack LLM Development Manager
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use mock interviews with friends or even record yourself to see how you come across. Confidence is key!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals, and applying directly through us can give you a better chance of standing out!
We think you need these skills to ace Full Stack LLM Development Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Full Stack LLM Development Manager role. Highlight your experience with AI/ML technologies and how they relate to the job description. We want to see how you can bring your unique skills to our team!
Showcase Your Projects: Include examples of your previous work, especially any projects involving AI/ML platforms or cloud-based solutions. This gives us a clear picture of your capabilities and how you tackle complex challenges. Don’t be shy about sharing your successes!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate clarity and want to understand your qualifications without sifting through fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and keen to join our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Inside Out
Make sure you’re well-versed in the AI/ML platform technologies mentioned in the job description, like SageMaker and OpenAI. Brush up on architectural patterns and best practices, as you might be asked to discuss how you've implemented these in past projects.
✨Showcase Your Teamwork Skills
Since the role involves working in multi-disciplinary teams, prepare examples of how you've collaborated with others to build complex solutions. Highlight your ability to manage and support other developers, as this will demonstrate your leadership potential.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical business challenges using cutting-edge technologies. Practice articulating your thought process and decision-making skills, as this will show your problem-solving abilities and technical expertise.
✨Emphasise Continuous Learning
The job mentions opportunities for growth and learning. Be ready to discuss how you stay updated with emerging technologies and any certifications you hold, like AWS Certified Machine Learning. This shows your commitment to professional development and aligns with the company’s innovative culture.