AI Architect - NLP, Chatbot, LLMs - TechBio

Richard Wheeler Associates
Didcot
2 months ago
Applications closed

Related Jobs

View all jobs

AI Platform Engineer (DevOps / MLOps Focus)

Principal, AI Data Science

Data Engineer (Automation)

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Senior Data Engineer

AI Architect - NLP, Chatbot, LLMs - TechBioAI Architect - NLP, Chatbot, LLMs - TechBio

1 week ago Be among the first 25 applicants

AI Architect - Chatbot, NLP, LLMs, Python, SQL, TechBio scaleup

Oxfordshire - hybrid working

A one-off opportunity for a senior level AI engineer to join a seriously innovative TechBio scaleup (~30 people) developing novel cancer biologics.

We're seeking an AI Engineer to lead development of a conversational AI platform for structural biology and bioinformatics. This platform will democratize access to complex protein structure analysis through natural language interactions, integrating with existing databases and computational pipelines.

The AI Engineer will have core expertise in AI, LLMs, NLP frameworks - together with a software focus (Python, APIs, SQL, cloud) including proven experience of delivering products to clients.

A flavour of the role:

Platform Development

  • Design and implement LLM-powered conversational interfaces for bioinformatics workflows
  • Build function-calling systems that integrate Claude/OpenAI models with structural biology tools
  • Develop context-aware chat systems that maintain conversation history across sessions
  • Create modular, scalable architectures for bioinformatics data processing

Bioinformatics Integration

  • Integrate with protein structure databases (PDB, AlphaFold, custom TCR structures)
  • Build APIs connecting LLMs to molecular visualization tools (PyMOL, ChimeraX, NGLView)
  • Develop specialized functions for TCR-peptide-HLA interface analysis
  • Create automated workflows for immune repertoire data processing

Data Infrastructure

  • Design PostgreSQL schemas for storing structural and sequence data

User Experience

  • Create intuitive chat interfaces using Streamlit or similar frameworks
  • Develop specialized prompting strategies for bioinformatics use cases

Required Technical Skills:

AI/ML Core

  • 3+ years hands-on experience (predominantly industry gained) with LLMs (GPT, BERT, T5, Claude) and NLP frameworks
  • Proficiency in prompt engineering, fine-tuning, and function-calling architectures
  • Experience with Hugging Face, OpenAI APIs, and transformer libraries
  • Understanding of model customization for domain-specific tasks
  • Experience with RAG systems
  • Knowledge of optimization techniques for reducing LLM latency and computational costs

Software Engineering & Architecture

  • Experience with web frameworks (Streamlit, FastAPI, or Flask) and frontend technologies
  • Database design and optimization (PostgreSQL preferred) for large protein datasets
  • API development and integration, especially for interfacing LLMs with external systems
  • Microservices architecture and containerization (Docker, Kubernetes)
  • Version control, CI/CD pipelines, and automated testing practices
  • Understanding of software design patterns for scalable, maintainable LLM applications
  • Experience with cloud computing platforms (AWS, GCP, Azure) and big data technologies
  • Familiarity with DevOps practices and deployment of ML applications

Bioinformatics & domain knowledge is strongly advantageous, though is NOT a pre-requisite.

In addition to a competitive salary, share options, private health, you will enjoy access to state-of-the-art computational resources and cutting-edge biological datasets; latest bioinformatics software, LLM frameworks, and protein modelling tools; the opportunity to work with novel therapeutic targets and protein engineering challenges.

This is an urgent requirement. Immediate availability or availability to start inside 4 weeks preferred.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionDesign, Art/Creative, and Information Technology
  • IndustriesStaffing and Recruiting

Referrals increase your chances of interviewing at Richard Wheeler Associates by 2x

Sign in to set job alerts for “Architect” roles.

Oxford, England, United Kingdom 2 weeks ago

Bicester, England, United Kingdom 2 months ago

Abingdon-On-Thames, England, United Kingdom 5 days ago

Reading, England, United Kingdom 1 week ago

Reading, England, United Kingdom 2 weeks ago

Reading, England, United Kingdom 3 weeks ago

Abingdon-On-Thames, England, United Kingdom 5 days ago

Register your interest for opportunities within Landscape Planning

Abingdon-On-Thames, England, United Kingdom 2 weeks ago

Reading, England, United Kingdom 8 hours ago

Abingdon-On-Thames, England, United Kingdom 5 days ago

Reading, England, United Kingdom 3 weeks ago

Aylesbury, England, United Kingdom 2 days ago

Senior Director/Director - Built Heritage

Abingdon-On-Thames, England, United Kingdom 3 days ago

Basingstoke, England, United Kingdom 6 hours ago

Marlow, England, United Kingdom 2 weeks ago

Basingstoke, England, United Kingdom 1 day ago

Oxfordshire, England, United Kingdom 1 day ago

Reading, England, United Kingdom 1 week ago

Oxford, England, United Kingdom 2 months ago

Newbury, England, United Kingdom 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.