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Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU
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Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU
# Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models (LLMs) | RAG Remote (UK & EU)
About the Role
As a Senior ML Engineer, you’ll lead technical AI infrastructure from experimentation to production, driving measurable impact for global customers. This is an exclusive opportunity to join an early-stage engineering team at a forward-thinking startup focused on large language models (LLMs) and AI agents.
In this role, you’ll take ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, collaborating with leadership and product teams to translate cutting-edge research into scalable, high-impact solutions. Unlike typical ML roles, your success will hinge on real-world product outcomes, agent performance improvements, and innovation—rather than just academic metrics.
Ideal for hands-on ML engineers who have experience in scaling production ML systems, think like product builders, and want to pioneer LLMs and AI in production.
Key Responsibilities
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Build Production-Grade Evaluation Systems Design and implement frameworks that measure performance, track improvements, and ensure consistent value delivery.
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Drive Experimentation-to-Production Pipelines Own the entire ML lifecycle—from prototype to robust, scalable production—without sacrificing reliability.
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Enable Cross-Team ML Integration Bridge the gap between technical teams and product managers to embed ML into customer-facing applications.
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Optimise AI Agent Performance Continuously improve systems through experimentation, prompt engineering, and architectural enhancements.
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Scale ML Infrastructure Develop foundational systems, monitoring tools, and MLOps pipelines to support rapid growth.
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Partner with Leadership Work closely with senior stakeholders while operating with high autonomy.
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Mentor Through Excellence Provide mentorship to junior ML engineers, fostering best practices and equipping the team for success.
Requirements
We’re looking for senior-level expertise with:
- 5+ years building and scaling production ML systems
- A strong foundation in classical and deep learning, especially neural networks before specialising in LLMs and transformers
- Product-driven mindset—proven track record of integrating ML systems into real-world products
- Multi-company experience: startups and/or scale-ups
- Technical versatility: Exceptional Python skills, adaptability across frameworks, and hands-on experience with tools such as LangChain or ML workflow orchestration
- Self-directed leadership: Ability to operate autonomously while aligning with executive goals
- Cross-functional collaboration skills, particularly translating technical capabilities into business value
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Nice-to-Haves (Not Essential but Valuable)
- Experience with AI agents, LLMs, or generative AI solutions
- Domain knowledge in cybersecurity or related fields
- Prior work at ML-first companies
- Deep expertise in modern MLOps and cloud-focused ML infrastructure
- A track record of optimising model performance and cost efficiency
Why Join Us?
- Address Real-World Challenges – Apply ML to high-impact industry problems
- Technical Leadership – Shape scalable infrastructure and industry-leading systems
- Expert Collaboration – Work alongside seasoned engineers from top-tier tech companies and scale-ups
- Build the AI-Native Future – Establish best practices in a rapidly evolving field
- Growth Opportunities – Pathways for leadership, technical deep dives, or high-impact individual contributor roles
- Breakthrough Work – Operate at the intersection of generative AI and practical applications
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