Senior AI Engineer

Keyloop; Reading; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm in the UK is seeking a Senior AI Engineer to advance their AI capabilities. You will design and build Generative AI applications and collaborate on machine learning projects. Ideal candidates have solid experience in AI and machine learning practices, with a strong background in Python and cloud infrastructure. This role offers significant growth opportunities within an inclusive team environment.

Benefits

Competitive salary

Inclusive work environment

Career development opportunities

Qualifications

• Proven experience developing and deploying GenAI solutions.
• Strong Python skills and practical knowledge of LLM tooling.
• Experience with traditional ML workflows and deployment.

Responsibilities

• Design, prototype and build GenAI applications.
• Collaborate on the development and monitoring of ML models.
• Apply statistical techniques for business decision-making.

Skills

GenAI solutions

Python

MLOps

Statistical methods

Cloud-native infrastructure

Tools

AWS

LangChain

Transformers

Job description

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.

We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.

We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?

We are hiring a Senior AI Engineer to join our growing AI Centre of Excellence. This is a hands-on technical role that spans Generative AI (GenAI), traditional Machine Learning (ML), and early-stage Data Science. You’ll play a critical part in delivering high-impact AI solutions, establishing best practices, and supporting the development of our AI capabilities across the business.You will work across the full AI lifecycle - from prototype to production - and contribute to platform development, MLOps/LLMOps infrastructure, and applied data science. This is a greenfield opportunity to have direct impact on the direction of AI within Keyloop.

Key Responsibilities:

GenAI Development:

• Design, prototype and build GenAI applications (e.g. co-pilots, retrieval-augmented generation, automation agents)
• Implement prompt engineering patterns, fine-tuning workflows and LLM evaluation techniques
• Stay up to date with advancements in foundation models and integration methods
  
  
  

Machine Learning Engineering

• Collaborate on the development, deployment and monitoring of ML models
• Contribute to experimentation design, data pipelines and MLOps frameworks
• Write production-grade code and support infrastructure for scalable model delivery
  
  
  

Applied Data Science

• Apply statistical techniques and modelling to support business decision-making
• Develop metrics, A/B test frameworks and causal inference pipelines
• Support product teams with analytical insights and model-based features
  
  
  

Engineering Practice:

• Participate in architecture reviews, code reviews and technical design discussions
• Contribute to reusable tools, components, and platform capabilities
• Mentor junior engineers or data scientists where relevant
  
  
  

Required Qualifications:

• Proven experience developing and deploying GenAI solutions (LLMs, RAG, agents)
• Strong Python skills and practical knowledge of LLM tooling (LangChain, Transformers, etc.)
• Experience with traditional ML workflows, from feature engineering to deployment
• Exposure to MLOps/LLMOps practices (e.g. CI/CD for ML, monitoring, model registry)
• Familiarity with statistical methods and experimentation (A/B tests, uplift modelling)
• Working knowledge of cloud-native infrastructure (AWS preferred)
• Ability to write clean, production-grade code and collaborate with engineers and product managers
  
  
  

Preferred Qualifications:

• Experience with AWS AI services (e.g. Bedrock, SageMaker, Lambda, Step Functions)
• Familiarity with low-code/no-code GenAI platforms
• Exposure to platform engineering, API development or DevOps for ML/AI systems
• Interest in ethical AI, fairness, and governance practices
  
  
  

This is a greenfield opportunity to build a technically excellent AI capability from the ground up. You’ll lead the creation of GenAI, ML and DS practices at enterprise scale while contributing hands-on and shaping the future of data-driven products. Your work will directly influence strategic priorities and enable innovation across our software portfolio.

Why join us?

We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way.

An inclusive environment to thrive

We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.

Be rewarded for your efforts

We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.

Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials.

We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply.