Senior Machine Learning Engineer

Viridien; Crawley; Hybrid; GBP 90,000 - 135,000; Full time

Benefits offered by this job

Hybrid working with two days at home

Company pension

Wellbeing app – Unmind

Flexible benefits platform

Cycle purchase scheme

Holiday leave 22 days +

Job summary

Viridien is seeking a Senior Machine Learning Engineer to own the end-to-end ML lifecycle from data ingestion to deployment. You will develop, tune, and evaluate LLMs and agentic workflows across real-world digital and Earth data applications.

The role emphasizes data infrastructure, model orchestration, and collaboration with production and software teams to bring AI solutions into products. Hybrid work is offered and a strong ML leadership mindset is valued.

Qualifications

• Master’s or Ph.D in a technical field.
• Strong programming skills in Python and at least one other language.
• Advanced understanding of LLM/VLM architectures and fine-tuning.
• Experience building data pipelines and large-scale model workflows.
• Proven DL framework experience (TensorFlow/PyTorch) and deployment know-how.
• Experience with enterprise ML projects and cross-functional teams.

Responsibilities

• Develop and deploy domain-specific LLM/NLP models.
• Build evaluation and benchmarking pipelines for models.
• Design multi-model agentic workflows and tool usage for production.
• Collaborate on data pipelines for ingestion, labeling and versioning.
• Provide technical leadership and mentor junior engineers.

Skills

Python

Data pipelines

LLM/NLP

RLHF

Pytorch

TensorFlow

C++

Java

Education

Master's or PhD

Tools

Cursor

Windsurf

Trae

Gemini CLI

Claude Code

Codex

Job description

Viridien ( www.viridiengroup.com ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Job SummaryWe’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.About the TeamYou’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact.Key ResponsibilitiesLLM/NLP Model DevelopmentDeploy 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 InfrastructureCollaborate 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 & OrchestrationOrchestrate 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 systemsLeadershipProvide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and innovation.Qualifications:Required: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 / PythonAdvanced understanding of LLM and VLM architecture, post-training methods (fine-tuning, RL), and evaluation pipelinesExperience in data and system engineering for large-scale model workflowsProven 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 plusPassion and aptitude for programming and technologyEnthusiasm for analytical and problem-solving challengesStrong enterprise project experience with Machine Learning and AIAbility 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 usCompetitive salary commensurate with experienceHighly attractive bonus schemeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programHybrid working with two days at home, flexible workingCompany pension with generous employer contributionWellbeing Unmind app – puts you in control of your mental healthA flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and moreCycle purchase schemeFlexible Private Medical & Dental care programmesBank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!Relaxed dress code policyOur Hiring ProcessAt 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.