Development
Deploy and fine tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.
Data Infrastructure
Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labelling. Ensure robust, reproducible data loops to power iterative development.
AI Workflow Design & Orchestration
Orchestrate multiple models to deliver SOTA results. Partner with Production team, Software Engineers to bring AI solutions into real-world products. Architect and orchestrate multi-model agentic workflows (function calling, tool usage, RAG, and code interpreters) and integrate them into production systems.
Leadership
Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and
innovation.
Qualifications
- Master's or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
- Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
- Advanced understanding of LLM and VLM architecture, post-training methods (fine-tuning, RL), and evaluation pipelines
- Experience in data and system engineering for large-scale model workflows
- Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
- Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)
- Experience in applying, fine-tune, optimize and deploy LLMs to industrial-level real user case is a plus
- Passion and aptitude for programming and technology
- Enthusiasm for analytical and problem-solving challenges
- Strong enterprise project experience with Machine Learning and AI
- Ability to define and manage project deadlines and
balance workloads across a wide variety of projects. - Effective communication skills to keep all stakeholders regularly informed on progress.
- Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.
Why work with us
- Competitive salary commensurate with experience
- Highly attractive bonus scheme
- Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program
- Hybrid working with two days at home, flexible working
- Company pension with generous employer contribution
- Wellbeing Unmind app - puts you in control of your mental health
- A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and more
- Cycle purchase scheme
- Flexible Private Medical & Dental care programmes
- Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!
- Relaxed dress code policy
Our Hiring Process
At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
Summary
Location: Crawley, United Kingdom
Type: Full time
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Senior Machine Learning Engineer in Oxford employer: Viridien
Viridien is an exceptional employer that prioritises innovation and employee development within a collaborative work culture. As a Network Engineer at our UK HPC Hub, you will benefit from ongoing training opportunities, a supportive team environment, and the chance to work on cutting-edge technology that enhances global network infrastructure. Join us to make a meaningful impact while enjoying a rewarding career in a dynamic and forward-thinking company.
