Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Generative AI Engineer

Oxford Dynamics
Oxford
9 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

AI Engineer / Data Scientist

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

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. Ideally, you’ll have 3+ 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 focussed, core AI developments.

The role will involve developing, combining and scaling natural language 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 language model system (ideally both in and before production). Alongside this the candidate will have 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 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 experience deploying LLM’s 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

 

Preferred 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 race, gender, religion, sexual orientation, age, disability, or if you're parenting the next generation of 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!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.