Machine Learning Research Engineer – NLP / LLM

NLP PEOPLE
Cambridge
3 weeks ago
Create job alert
Machine Learning Research Engineer – NLP / LLM

An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry‑leading, machine‑learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever‑advancing technical landscape. On a daily basis you will be working on the very cutting‑edge of machine‑learning including prototyping, building and implementing new approaches to AI problems.


Location: Cambridge – 3 days in office / 2 days remote


Salary: Highly competitve salary + comprehensive benefits


Requirements for Machine Learning Research Engineer

  • You will have a Ph.D from a world‑leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP)
  • Experience weighted more towards classic machine learning than AI Engineering
  • Strong knowledge in LLMs, NLP and Machine Learning / AI
  • Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level
  • Published papers
  • Good understanding of software engineering concepts
  • Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit‑Learn
  • Data Science experience including working with large data sets

Responsibilities for Machine Learning Research Engineer

  • Join a team responsible for investigating the latest research in machine learning algorithms – largely within the NLP field along with some computer vision
  • Make suggestions based on the feasibility of research to help shape future projects and products
  • Prototyping research concepts
  • Determining output quality, efficiency, and feasibility compared with other techniques

What this offers

  • Working for an industry‑leading software company who have a fantastic track record of successfully hiring and training graduates
  • Highly interesting work researching the next phases of cutting‑edge, machine‑learning software
  • A good remuneration and benefits package

Applications

If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up‑to‑date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job‑board, full details for contact are available on our website).


Company:

RedTech Recruitment


RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Tagged as: Academia, Natural Language Processing, Neural Networks, NLP, Speech Processing, United Kingdom



#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Research Engineer - NLP / LLM

Machine Learning Research Engineer - NLP / LLM

Machine Learning Research Engineer - NLP / LLM

Machine Learning Research Engineer – NLP / LLM

Machine Learning Research Engineer - NLP / LLM

Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

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.

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.