Senior Generative AI Engineer

ZipRecruiter; Oxford; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative deep tech start-up is on the lookout for a Generative AI Engineer to join their dynamic team. This role offers the chance to work on cutting-edge AI developments, focusing on Generative AI and LLMs. With a strong emphasis on collaboration, you will contribute to the design and deployment of advanced AI algorithms, ensuring they meet the demands of a fast-paced environment. The company values flexibility and offers generous benefits, including a share option scheme. If you're passionate about AI and ready to shape the future of technology, this opportunity is perfect for you.

Benefits

Generous share option scheme

Highly flexible work hours

Opportunity for rapid career progression

Shape the direction of a fast-moving start-up

Qualifications

• 5+ years experience with Generative AI and LLMs in production.
• Strong background in NLP techniques and machine learning pipelines.

Responsibilities

• Develop novel AI algorithms for core products.
• Deploy AI products into offline environments.

Skills

Generative AI

LLMs

Natural Language Processing (NLP)

Python

Machine Learning Pipelines

Data Engineering Best Practices

Agile Development

Business Development

Education

BS in Computer Science

MS in Computer Science

Ph.D. in Computer Science

Tools

Docker

AWS/Cloud

Git

Job description

Job Description

About the Opportunity

We’re a UK-based deep tech start-up seeking a Generative AI Engineer to join our enthusiastic and rapidly growing team. You will have 5+ years industry experience working with Generative AI on a wide range of challenges in a fast-moving environment. The position will involve applying your skills to our two exciting, commercially focused, core AI developments.

The role will involve developing, combining and scaling natural model systems, data enhancement, collaboration with the wider AI team, and keeping ahead of the latest trends in Generative AI and ML. The ideal candidate will have a number of years’ experience with LLMs, utilising them as part of a natural model system (ideally both in and before production). Alongside this, the candidate will have a good understanding of current literature around LLMs.

The Rewards

• Initial salary: £neg., depending on experience & personal attributes
• Opportunity for rapid career progression
• An opportunity to shape the direction of a fast-moving start-up
• Generous share option scheme
• Highly flexible work hours
• Hybrid working option

Key Responsibilities

• Develop novel, accurate AI algorithms for Oxford Dynamic’s core AI products
• Work with the team to deploy novel AI products into offline environments

Minimum Qualifications & Experience

• Willing to be SC cleared
• Strong understanding of the theory of generative AI systems e.g., LLMs, RAG, Graph networks
• Strong experience deploying LLMs for searching pipelines
• Up to date with current LLM and NLP research
• Experience designing, developing and deploying production machine learning pipelines
• Strong background in NLP techniques
• BS, MS or Ph.D. degree in Computer Science or related quantitative field
• Strong presentation skills
• Python for machine learning development
• Full-stack development, enhancement, and maintenance
• GIT workflow & control
• Docker for system deployment
• AWS/Cloud experience

Qualifications & Experience

• SC Clearance
• A portfolio of previous work (industry, Bachelors, semester, Masters, doctoral thesis, ...) in AI/robotics (Github repository) or published papers in relevant AI/robotics journals/conferences
• Experience with Git workflow within a production team
• Experience with Agile product development
• Experience of working in a start-up
• Best practices in data engineering
• Familiarity with MLOps
• Experience with building Restful services
• Experience presenting in front of project stakeholders
• Keen business development interest

Start date: Immediate

Contract Type: Permanent

Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of gender, religion, or if you're parenting the next innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

If you're interested in this role, please email your CV and we’ll be in touch.

We look forward to hearing from you.

NO RECRUITMENT AGENCIES PLEASE!