ML & AI Engineer
City of London / £400 - £500 day
INFO
£400 - £500
LOCATION
City of London
Contract
Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps
About the Role
We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend systems that make our AI products possible. If you thrive in lean, collaborative teams and want your work to have a direct, tangible impact, this is the place for you.
What You'll Do
Architect and implement scalable backend systems powering ML models and LLMs in production.
Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration.
Develop solutions for big data storage and processing, ensuring data quality, security, and efficiency.
Integrate and optimize both classical ML models and LLMs for real-world use cases.
Research and experiment with state-of-the-art algorithms, tools, and frameworks - bringing fresh ideas from prototype to production.
Collaborate closely with a cross-functional team of data scientists, engineers, and product stakeholders.
Write clean, maintainable, well-tested code and help set engineering best practices.
Diagnose and resolve complex technical challenges in big data and ML systems.
About You
You're fluent in Python and experienced with leading ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face).
You have a solid background in MLOps: experiment tracking, CI/CD for ML, model versioning, deployment, and monitoring.
You've built scalable backend systems and APIs (RESTful/GraphQL), with solid experience in microservices and databases (SQL/NoSQL).
You know your way around big data tools (Spark, Dask) and orchestration (Airflow, DBT).
You understand NLP and have experience working with Large Language Models.
You're cloud-savvy (AWS, GCP, or Azure) and comfortable with containerization (Docker, Kubernetes).
You have strong problem-solving and communication skills and enjoy working on open-ended technical challenges.
Bonus points if you've fine-tuned LLMs, worked with real-time data streaming, or contributed to open-source ML projects.
Why You'll Love It Here
Direct influence on impactful products and cutting-edge ML/AI systems.
Work with a tight-knit, collaborative team where your ideas matter.
Opportunity to grow fast alongside a growing company.

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Experience with internal tooling, operations tech, supply chain, procurement, or logistics platforms
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4 “Not-sick” days & 2 volunteering days
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£300 personal L&D budget
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YuLife wellness support + Oddbox discounts
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Lead the development of the data and analysis strategy for the Commercial department.
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Solid understanding of revenue analysis and management principles.
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Strong leadership experience, with a proven track record in managing and developing a team.
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Technical proficiency in tools such as Tableau, PowerBI, and SQL.
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Stage 1: 45-minute initial screen with senior leadership.
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Stage 2: A practical task summarizing a piece of price sensitivity research and presenting findings to the board in a 6-slide presentation.
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