Machine Learning Engineer / ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data Optimize model performance through advanced techniques including hyperparameter tuning,...
mthree
Old Bailey
Machine Learning Engineer - London
Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The...
Michael Page
City of London
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 Engineer
Machine Learning Engineer We are working in partnership with a leading technology organisation to recruit an experienced Machine Learning Engineer. The successful candidate will design, train, and optimise high-performance machine learning models, build and manage datasets for real-world sensing systems, and clearly communicate technical work to stakeholders. Based in North Somerset, you'll be part of a collaborative and forward-thinking environment...
Job Description Machine Learning Engineer/Senior Machine Learning EngineerLocation: Manchester - Hybrid working two days per week on siteSalary: negotiable based on experienceRef: J13039This is an exciting opportunity to join a major organisation that is undergoing a large scale transformation within its Pricing and Analytics function. Significant investment is being made in technology, tooling and people development, creating a genuine chance...
Datatech Analytics
Manchester
Machine Learning Engineer
Job Description ML Engineer Location: Chester (Hybrid - 2x week in office)Salary: £70,000 - £80,000About the RoleI'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment.What You’ll Be...
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.
Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world.
That makes it a natural home for many neurodivergent people.
If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists.
This guide is written for neurodivergent ML job seekers in the UK. We’ll explore:
What neurodiversity means in a machine learning context
How ADHD, autism & dyslexia strengths map to ML roles
Practical workplace adjustments you can ask for under UK law
How to talk about neurodivergence in applications & interviews
By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.
As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before.
Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations.
Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.
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