National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Researcher

RedTech Recruitment
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Researcher

Machine Learning Researcher / Deep Learning / World Leader

Machine Learning Researcher

Machine Learning Researcher...

Machine Learning Researcher (Urgent)...

Machine Learning Researcher

Machine Learning Research Engineer


A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape.

Location:Cambridge – remote initially, but office due to return in coming months


Salary:Up to £100,000 depending on experience


Requirements for Machine Learning Research Engineer

  • A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in 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
  • Ability to code in Python
  • Experience working with large data sets (desirable)


Responsibilities for Machine Learning Research Engineer

  • Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP and Computer Vision fields
  • 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 Customer Success Manager 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).


Keywords:Python/ Deep Learning / Machine Learning / NLP / Natural Language Processing / Computer Vision / Research / Post-Doc / Ph.D. / DPhil / Computer Science / Mathematics / Physics / Engineering/ Text Analytics / Speech processing / Software Engineer / Research / Researching / Journals / AI / Artificial Intelligence / Machine Vision / Neural Networks / Developer / Algorithm

********************************************************************************

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.

National AI Awards 2025

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 Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.