At a Glance
- Tasks: Join our team to develop and deliver innovative Generative AI products and consultancy services.
- Company: Bayezian is a forward-thinking data science consultancy focused on Generative AI and Large Language Models.
- Benefits: Enjoy training, a competitive salary, private health insurance, and a wellbeing plan.
- Other info: Flexible work culture with opportunities for growth and collaboration in a supportive team.
- Why this job: Be part of a creative environment where your ideas can flourish and impact various industries.
- Qualifications: 1 year of experience, STEM degree, strong Python skills, and familiarity with LLM frameworks required.
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 1 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 in London employer: Bayezian
At Bayezian, we pride ourselves on being an innovative data science consultancy that not only delivers cutting-edge Generative AI solutions but also nurtures the creativity and growth of our employees. With a supportive work culture, opportunities for professional development through our Bayezian Incubator, and a focus on employee wellbeing, we offer a rewarding environment for those passionate about AI. Join us in our vibrant location where you can collaborate with talented professionals and make a meaningful impact across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Large Language Models. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your enthusiasm and knowledge.
✨Tip Number 2
Build a portfolio of projects that demonstrate your experience with LLM frameworks like LangChain or PydanticAI. Having tangible examples to discuss can set you apart from other candidates and show your practical skills.
✨Tip Number 3
Network with professionals in the AI field, especially those working in life sciences. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the industry, which could give you an edge in your application.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS or Azure. Be ready to explain how you've used these tools in past projects, as this is a key requirement for the role and will demonstrate your readiness to contribute from day one.
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, LLM frameworks, and any relevant projects. Emphasise your work with GitHub and cloud platforms like AWS or Azure, as these are key requirements for the role.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for Generative AI and how your background aligns with Bayezian's mission. Mention specific projects or experiences that demonstrate your skills and entrepreneurial spirit.
Showcase Relevant Projects:If you have completed projects using LLMs or related technologies, be sure to include them in your application. Provide links or descriptions that showcase your ability to deliver results in the AI space.
Highlight Soft Skills:Bayezian values flexible communication and teamwork. In your application, mention instances where you've successfully communicated complex ideas to non-technical team members or collaborated on projects under pressure.
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.
