Senior Machine Learning Engineer in Oxford

Senior Machine Learning Engineer in Oxford

Oxford Full-Time 72000 - 88000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Develop and deploy cutting-edge AI models to solve complex challenges.
  • Company: Join Viridien, a leader in advanced technology and Earth data solutions.
  • Benefits: Competitive salary, flexible working, generous leave, and wellness support.
  • Other info: Enjoy a relaxed dress code and a culture of continuous learning.
  • Why this job: Make a real impact with AI while working in a dynamic, innovative team.
  • Qualifications: Master’s or Ph.D. in a technical field and strong programming skills required.

The predicted salary is between 72000 - 88000 £ per year.

Viridien 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.

We’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.

You’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 Responsibilities

  • LLM/NLP Model 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:

  • 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 / 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.

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 is 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.

Location: Crawley, United Kingdom
Type: Full time

Senior Machine Learning Engineer in Oxford employer: CGG

At Viridien, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. Located in a vibrant area, our team enjoys a healthy work-life balance, competitive benefits, and the chance to work on cutting-edge network technologies that make a real impact globally.

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Contact Details:

CGG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Machine Learning Engineer in Oxford

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CGG or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CGG.

✨Tap into Online Developer Communities

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✨Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Senior Machine Learning Engineer in Oxford

Machine Learning
Large Language Models (LLMs)
Natural Language Processing (NLP)
Data Engineering
Programming in C/C++/R/Java/Python
Deep Learning Frameworks (TensorFlow/PyTorch)
Reinforcement Learning

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CGG.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CGG and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at CGG

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CGG uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.