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- Tasks: Design and deploy advanced AI solutions using cutting-edge technologies.
- Company: Join a leading banking client in Southeast London with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for professional growth.
- Why this job: Shape impactful AI solutions and tackle real-world business challenges.
- Qualifications: 7+ years in IT, strong Python skills, and experience in Generative AI.
- Other info: Collaborative environment with opportunities to lead and innovate.
A Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions is needed for a hybrid 8-12 month contract paying £500 - £550 per day inside IR35, (2-3 days in the office). This includes core Python development using OOP concepts, Large Language Models (LLMs), and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML, and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.
As a Senior Lead Analyst, you will:
- Anchor the engagement effort from business process consulting and problem definition to solution design, development, and deployment.
- Lead the discovery and definition of AI/ML solutions and guide teams on project processes and deliverables.
- Act as a thought leader in your domain, advising on architecture and design reviews.
- Drive business pursuit initiatives, client training, and in-house capability building.
- Shape value-adding consulting solutions that help clients meet evolving business needs.
Responsibilities:
- Develop the core Python Programs using OOP Concepts.
- Design and develop scalable AI/ML solutions using Python and cloud platforms.
- Lead the implementation of Generative AI models, LLMs, and agentic frameworks.
- Collaborate with stakeholders to define problem statements and solution approaches.
- Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines.
- Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines.
- Ensure high-quality delivery and adherence to best practices in AI/ML engineering.
Skills:
- Minimum 7 years of experience in Information Technology.
- Minimum 2+ years of strong experience in Gen AI, Agentic AI.
- Minimum 5+ years of ML, data Science.
- Minimum 5 years in Python programming, including OOP, data structures, Stacks, Queues, Scripting, Linked lists, Arrays, and API development.
- Minimum 5 years in Big Data technologies (e.g., Hadoop).
- Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Minimum 5 years in ML model development, data engineering, and software engineering.
- Minimum 3 years in MLOps and AI/ML deployment.
- Minimum 2 years in Generative AI, LLMs, and agentic frameworks.
Preferred:
- Experience with API Gateway development and deployment on Azure/GCP.
- Hands-on experience with vector databases and RAG pipelines.
- Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.
- Strong problem-solving and stakeholder management skills.
- Domain expertise in Banking, Finance, or Capital Markets.
Work mode: Hybrid 2-3 days a week from the office
Contract duration: 8-12 months
Location: Southeast London
Client: Banking
GenAI Specialist in Bromley employer: Velocity Talent Ltd
Contact Detail:
Velocity Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Specialist in Bromley
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or industry events where you can chat with potential employers or colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and Python. Share it on platforms like GitHub or your personal website. This gives employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies. Practice explaining your thought process when solving problems. 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! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight your experience with cloud platforms and Generative AI, and let us help you land that dream role!
We think you need these skills to ace GenAI Specialist in Bromley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GenAI Specialist role. Highlight your experience with Python, AI/ML solutions, and cloud platforms like AWS or Azure. 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 Generative AI and how your background makes you the perfect fit for this role. Let us know what excites you about working with cutting-edge technologies.
Showcase Relevant Projects: If you've worked on projects involving LLMs, agentic AI, or MLOps, make sure to showcase them in your application. We love seeing real-world examples of your work and how you've tackled complex challenges.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Velocity Talent Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, OOP concepts, and the specific AI technologies mentioned in the job description. Brush up on your knowledge of Generative AI, LLMs, and cloud platforms like AWS, Azure, and GCP. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully designed and deployed AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and your ability to lead projects effectively.
✨Understand the Business Context
Since this role involves working with clients in Banking and Finance, do some research on current trends and challenges in these industries. Being able to relate your technical expertise to their business needs will set you apart and show that you can provide value beyond just technical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI, their current projects, and how they envision the role contributing to their goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.