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For Companies At a Glance
- Tasks: Join our team to develop cutting-edge Generative AI products and consultancy services.
- Company: Bayezian is a dynamic data science consultancy focused on transforming products with Generative AI.
- Benefits: Enjoy training, a competitive salary, private health insurance, and a wellbeing plan.
- Why this job: Be part of an innovative culture that supports your creativity and professional growth.
- Qualifications: 1 year of experience, STEM degree, strong Python skills, and familiarity with LLM frameworks required.
- Other info: Flexible work environment with opportunities to explore your own ideas.
The predicted salary is between 30000 - 35000 £ per year.
Who are we?
Bayezian is a dynamic data science consultancy on a mission to harness the power of Generative AI (Gen AI) and Large Language Models (LLMs) to transform our clients' products and services. Our Generative AI team is rapidly expanding, and we’re excited to invite passionate individuals to join us on this exciting journey. At Bayezian, we’re not just about delivering results; we’re about fostering innovation. Through our Bayezian Incubator, you’ll have the chance to explore and develop your own ideas while working within the strategic vision of the company. We’ll be here to support your creativity and help bring your ideas to life, all while advancing your skills in this transformative field.
What are we looking for?
- Someone who is deeply enthusiastic about AI and the fast-evolving Gen AI space.
- You will report directly to our Head of Gen AI and collaborate with a talented team of developers and data scientists on a diverse range of projects primarily in the Life Sciences, but could be across multiple industries.
- You’ll work with the typical LLM stack, including frameworks and tools for fine-tuning, deploying, and integrating large language models, and leverage cloud platforms such as AWS and Azure to design, develop and deploy production-grade solutions.
What we need from you:
- You have at least 1 year of work experience.
- You are available to start within the next month or at the earliest convenience.
- You have full UK work eligibility.
- Bachelor's degree in a STEM related field.
- Strong experience with Python.
- Strong experience with managing projects using GitHub with attention to best practice.
- Good understanding and experience using LLM frameworks such as LangChain, LlamaIndex and or PydanticAI etc.
- Foundational knowledge of transformers and the underlying architecture of LLMs.
- Foundational knowledge of diffusion models for image generation.
- Can display and present completed project/s using LLMs with a focus on any of the following: RAG, Agentic-RAG, fine-tuning.
- Some experience or familiarity with deploying applications in the Cloud using services such as AWS or Azure.
- Proven track record in securing web / API applications.
- An entrepreneurial spirit and an eagerness to share your knowledge and expertise with your colleagues to support the growth of the business.
- Flexible and adaptable communicator able to articulate complex outcomes to non-technical team members.
- Ability to work under pressure and learn quickly in a fast-paced but supported environment.
Bonus Points:
- Experience in the life sciences sector, specifically within clinical trial design or related function.
- Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry.
- Experience with Serverless Architectures in Azure / AWS / GCP.
- Experience with open-source LLMs or Small Language Models (SLMs).
- Experience with front-end development using vanilla JavaScript or JavaScript / TypeScript frameworks.
- Experience with OOP and SOLID principles.
What do we offer?
- Training and vocational coaching received during the initial employment and throughout your career with our client to accelerate your career in Data Science gaining qualification and certifications aligned to your development.
- Salary ranges between £30,000 and £35,000 based on experience.
- Company Pension.
- Wellbeing Plan (eye test, mental health support, birthday day off).
- Private health insurance.
Generative AI Engineer employer: Bayezian
Contact Detail:
Bayezian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Large Language Models. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your genuine enthusiasm for the field.
✨Tip Number 2
Build a portfolio showcasing your projects related to LLMs and Generative AI. Include any applications you've developed or contributed to, especially those that highlight your skills in Python and cloud deployment. A strong portfolio can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and data science community. Attend meetups, webinars, or conferences focused on Generative AI. Engaging with others in the field can lead to valuable connections and insights that may help you land the job.
✨Tip Number 4
Prepare to discuss your experience with GitHub and project management during the interview. Be ready to share specific examples of how you've applied best practices in your previous work. This will show your potential employer that you are not only technically skilled but also organised and detail-oriented.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, particularly with Generative AI and Large Language Models. Emphasise your skills in Python, project management using GitHub, and any specific frameworks like LangChain or PydanticAI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention your entrepreneurial spirit and how you can contribute to Bayezian's mission of innovation in the Generative AI space.
Showcase Your Projects: Include examples of completed projects using LLMs in your application. Highlight any experience with deploying applications in the cloud and your understanding of transformers and diffusion models.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your application is clear, concise, and free of jargon, making it accessible to non-technical readers.
How to prepare for a job interview at Bayezian
✨Show Your Passion for AI
Make sure to express your enthusiasm for Generative AI and the fast-evolving landscape. Share any personal projects or experiences that highlight your interest in this field, as it will resonate well with the interviewers.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with Python and LLM frameworks like LangChain or PydanticAI. Bring examples of projects you've worked on, especially those involving fine-tuning or deploying models, to showcase your skills.
✨Communicate Complex Ideas Simply
Since you'll be working with non-technical team members, practice explaining complex concepts in a straightforward manner. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Highlight Your Project Management Skills
Discuss your experience managing projects using GitHub and how you adhere to best practices. This will show your organisational skills and ability to work collaboratively within a team, which is crucial for the role.