Job description
Project overview
£625 per day | Outside IR35 | 3-6 Month Contract
The Opportunity
An exciting opportunity has arisen for a Senior AI/ML Engineer to join a highly innovative team operating within a large global organisation. Working in a startup-style environment, you'll play a critical role in shaping and delivering the next generation of Generative AI products.
This team is focused on building AI-powered MVPs, validating product-market fit, and creating scalable solutions that can be adopted across a broader enterprise landscape. They're looking for an experienced engineer who can bring technical leadership, engineering discipline, and a pragmatic approach to turning ambitious AI concepts into reliable, production-ready solutions.
The Role
This is a hands-on contract position where you'll provide technical oversight and help establish best practices across AI engineering, MLOps, deployment, and productionisation.
You'll be expected to quickly assess existing approaches, improve technical foundations, and help ensure the team is building solutions that are secure, scalable, and maintainable.
Key Responsibilities
Technology Stack
Essential Experience
AI & Machine Learning Expertise
Desirable Experience
Candidate Profile
We're looking for a practical, delivery-focused engineer who is comfortable operating in ambiguous and fast-moving environments.
You'll likely have:
This role would suit someone who enjoys bringing structure and clarity to complex technical challenges and helping teams deliver high-quality AI products.
Team Structure
You will work alongside:
This is a senior individual contributor role with significant technical influence but no direct line management responsibilities.
Why Apply?
Package
Contract Length: 3-6 Months
- Review and validate AI solution architectures and engineering approaches.
- Bring engineering rigour and governance to AI product development.
- Establish coding standards, testing practices, and development workflows.
- Productionise machine learning and Generative AI solutions.
- Develop and maintain ML pipelines and deployment frameworks.
- Implement monitoring, logging, observability, and model performance tracking.
- Conduct LLM security assessments, including prompt injection testing and mitigation.
- Collaborate closely with Data Scientists, Engineers, Product stakeholders, and external partners.
- Support the team in moving from experimentation to robust, scalable delivery.
- Provide hands-on technical guidance while remaining actively involved in development.
- Expert-level Python development
- Azure cloud platform
- Databricks
- MLflow
- Containerised environments (Docker or similar)
- Machine learning pipeline development
- CI/CD and deployment automation
- Software engineering best practices and automated testing
- Jupyter Notebooks
- Generative AI applications
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector databases
- NLP and content generation platforms
- Prompt engineering
- AI application architecture
- Model monitoring and governance
- LLM security and evaluation
- Startup or scale-up environments
- Conversational AI and chatbot development
- Healthcare, life sciences, or regulated industry experience
- Responsible AI and AI governance initiatives
- Product-focused AI engineering
- A strong software engineering background combined with modern AI/ML expertise.
- Experience building and deploying AI products in production environments.
- A systems-thinking approach to architecture and technical decision-making.
- Strong stakeholder communication and collaboration skills.
- The confidence to challenge assumptions and improve technical direction.
- A product-oriented mindset, understanding how technology delivers business value.
- A passion for creating scalable, maintainable AI solutions rather than simply building prototypes.
- Product Manager
- Data Scientists
- Python Engineers
- AI Engineers
- Solution Architect
- Front-End Developers
- External Delivery Partners
- Join a high-impact Generative AI programme.
- Work on cutting-edge AI products and platforms.
- Influence technical architecture and engineering standards.
- Enjoy startup-style autonomy with enterprise-scale backing.
- Make a visible impact from day one.
- Collaborate with a highly skilled multidisciplinary team.
Project details
£625 per day
IR35 Status: Outside IR35
Hybrid
Start Date: ASAP
Key Skills
Python | Azure | Databricks | MLflow | Generative AI | LLMs | NLP | RAG | Vector Databases | MLOps | Docker | Prompt Engineering | AI Engineering | Machine Learning
Short Overview
Senior AI/ML Engineer required to build and productionise cutting-edge Generative AI solutions using Python, Azure, Databricks and modern LLM technologies.
- Start: flexible
- Duration: 6 Month Contract
- Remote: hybrid
- Location: London
- Rate: 69-78 EUR/h
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