Location | Newcastle upon TyneDiscipline: | Football OperationsJob type: | PermanentJob ref: | 008102Expiry date: | 05 Feb 2026 23:59 Machine Learning Engineer (ML Engineer) Newcastle United Permanent Newcastle Upon Tyne Competitive Salary We are the heartbeat of the city. Come and be a part of a long and proud history where we strive to be the best in everything...
Newcastle United Football Club
Newcastle Upon Tyne
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...
RedTech Recruitment Ltd
Horseheath
Machine Learning Research Engineer - NLP / LLM
Machine Learning Research Engineer - NLP / LLMIf you want to know about the requirements for this role, read on for all the relevant information.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...
RedTech Recruitment
Farnham
Machine Learning Quant - Start Up
Machine Learning Quant - Start UpWant to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.£150,000 GBP+ performance bonus + internal fund investmentOnsite WORKINGLocation: Central London, Greater London - United Kingdom Type: PermanentMy client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by...
ANSON MCCADE
London
Machine Learning Engineer
MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model...
Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords.
This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.
Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals.
Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused.
In most cases, the issue is not the talent market — it is the job advert itself.
Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning.
This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.
Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level.
Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas:
Linear algebra essentials (vectors, matrices, projections, PCA intuition)
Probability & statistics (uncertainty, metrics, sampling, base rates)
Calculus essentials (derivatives, chain rule, gradients, backprop intuition)
Basic optimisation (loss functions, gradient descent, regularisation, tuning)
If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews.
This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.
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