Machine Learning Engineer/Researcher - 2026 Graduate Programme

Viridien
Crawley
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer/Researcher

Machine Learning Engineer/Researcher

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Viridien (www.viridiengroup.com) is an advanced technology company dedicated to creating sustainable, data‑driven solutions for natural resources, energy transition, and infrastructure challenges.


Role Overview

As a Graduate Engineer in the AI Lab, you will develop and enhance machine learning algorithms across projects such as document processing, satellite imagery analysis, and Large Language Models (LLM). You will collaborate closely with engineers and data scientists to deliver high‑impact solutions while maintaining a commitment to continuous learning.


Responsibilities

  • Design, prototype, and deploy ML algorithms for document and satellite imagery processing.
  • Develop and fine‑tune LLMs to address complex domain challenges.
  • Collaborate with cross‑functional teams to translate business problems into ML solutions.
  • Maintain code quality, performance, and documentation.
  • Participate in research activities and stay current on latest ML advances.

Qualifications

  • PhD or MSc in Computer Science, AI, Data Science, or related field.
  • Strong programming foundation in Python and object‑oriented design.
  • Experience in ML frameworks (PyTorch, TensorFlow) and CV or NLP pipelines.
  • Solid understanding of statistics, ML theory, and large‑scale model deployment.
  • Excellent problem‑solving and communication skills.

Key Skills and Experiences

  • Hands‑on experience in computer vision or natural language processing.
  • Proficiency in developing LLMs and understanding of transformer architectures.
  • Skilled in object‑oriented programming using Python.
  • Familiar with PyTorch or other ML frameworks.
  • Strong written and verbal communication abilities.

Benefits

  • Competitive salary commensurate with experience.
  • Highly attractive bonus scheme.
  • 22 days annual leave with future increases and flexible holiday options.
  • Company pension with generous employer contribution.
  • Wellbeing Unmind app for mental health support.
  • Flexible benefits platform and discount schemes (gym, restaurants, cinema).
  • Cycle purchase scheme and flexible medical & dental care.
  • Bank holiday swap program.
  • Relaxed dress code policy.

Learning and Development

Viridien promotes continuous learning through the Learning Hub, offering tailored training programs designed for technical, commercial, and personal growth.


Environment and Community

We actively support community engagement, volunteering, and environmental initiatives, focusing on sustainable solutions, energy saving, and waste reduction.


Hiring Process

We provide a respectful, inclusive, and transparent recruitment experience. Due to high application volume, individual feedback may not be available for all applicants. Qualified candidates will be contacted for interviews and provided with personalized feedback when progress is made.


Equal Employment Opportunity

We see things differently. Diversity fuels our innovation. We value the unique ways in which we differ and are committed to equal employment opportunities for all professionals.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.