How to Find Jobs in AI and Machine Learning with Visa Sponsorship in the UK in 2025/2026

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries across the UK, from finance and healthcare to technology, energy, retail, and public services. As organisations increasingly adopt AI-driven solutions, the demand for skilled AI and ML professionals continues to grow into 2025 and 2026.
For international candidates, this presents strong opportunities to secure visa-sponsored jobs in AI and Machine Learning. With the right technical skills, experience, and job search strategy, working in the UK’s fast-growing AI sector is highly achievable.
This guide explains the UK AI and ML job market, key career paths, required skills, visa options, top employers offering sponsorship, and practical steps to help you succeed.
The UK AI and Machine Learning Job Market (2025/2026)
The UK is one of Europe’s leading hubs for AI research, innovation, and commercial application. London remains the primary centre, with growing AI ecosystems in Cambridge, Oxford, Manchester, Edinburgh, Bristol, and Birmingham.
Demand for AI and ML professionals is driven by:
- Increased adoption of AI in business operations
- Growth of data-driven decision-making
- Investment in healthtech, fintech, and deep tech
- Automation and intelligent systems across industries
- Government support for AI innovation and research
Key Market Trends
- Applied AI & Commercialisation: Strong demand for professionals who can deploy models into production.
- Generative AI: Rapid growth in roles involving large language models and AI-driven content systems.
- AI in Healthcare & Life Sciences: Machine learning used for diagnostics, drug discovery, and clinical analytics.
- Responsible & Ethical AI: Increased focus on model governance, explainability, and bias mitigation.
- Cloud-Based AI: Experience with AWS, Azure, or Google Cloud AI platforms is increasingly important.
Salary Range
- Junior / Graduate AI or ML Roles: £35,000–£45,000
- Mid-Level ML Engineer / AI Engineer: £50,000–£70,000
- Senior AI Scientist / ML Lead: £75,000–£100,000+
Visa-sponsored roles typically need to meet the Skilled Worker Visa salary threshold, generally above £41,700, unless a new entrant discount applies. Many employers hire AI and ML engineers under the SOC 2134, and the going rate for this SOC is £54,700. On UK Visa Jobs, we review salaries for each job against the going rates to ensure that roles are eligible, allowing candidates to apply for roles that can sponsor.
Key Career Paths in AI and Machine Learning
Machine Learning Engineer
Designs, trains, and deploys ML models into production systems, often working closely with software engineers and data teams.
AI Engineer
Builds AI-powered systems and applications, integrating models into scalable platforms and products.
Data Scientist (ML-Focused)
Applies statistical modelling, machine learning, and data analysis to extract insights and develop predictive solutions.
Research Scientist / Applied Scientist
Works on advanced algorithms, experimentation, and research-driven AI development, often in R&D teams.
Computer Vision Engineer
Develops systems for image and video analysis, facial recognition, and object detection.
NLP Engineer
Builds language-based models for chatbots, search, summarisation, and large language model applications.
Day-to-Day Responsibilities
Depending on the role, typical responsibilities include:
- Designing and training machine learning models
- Cleaning and preparing large datasets
- Building and testing AI pipelines
- Deploying models into production environments
- Monitoring model performance and accuracy
- Experimenting with algorithms and feature engineering
- Collaborating with software engineers and product teams
- Writing technical documentation and reports
- Ensuring ethical and responsible AI practices
Skills and Qualifications Needed
Technical Skills
- Python (essential)
- Machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Data processing libraries (Pandas, NumPy)
- SQL and data querying
- Model deployment and MLOps
- Cloud platforms (AWS, Azure, Google Cloud)
- Understanding of algorithms, statistics, and optimisation
Qualifications
- Degree in computer science, AI, machine learning, mathematics, engineering, or related field
- Master’s or PhD beneficial for research-focused roles
- Online certifications or AI bootcamps can strengthen applications
- Strong portfolio of projects, GitHub repositories, or published research
Soft Skills
- Problem-solving and analytical thinking
- Communication of complex ideas
- Collaboration across technical and non-technical teams
- Curiosity and continuous learning
Top Companies Offering Visa Sponsorship for AI and ML Roles
1. Google DeepMind
Based in London, DeepMind is a global leader in AI research and applied machine learning. The company sponsors international talent across research, engineering, and applied AI roles.
Apply for visa-sponsored roles at Google DeepMind.
2. Amazon (AWS)
Amazon hires AI and ML professionals across AWS, retail, logistics, and digital services. The company has a strong track record of sponsoring international candidates for technical roles.
Apply for visa-sponsored AI and ML roles at Amazon.
3. Microsoft UK
Microsoft employs AI engineers and researchers across cloud services, enterprise solutions, and applied AI teams. Visa sponsorship is commonly available for skilled professionals.
Apply for visa-sponsored roles at Microsoft UK.
4. AstraZeneca
AstraZeneca applies AI and machine learning to drug discovery, clinical trials, and healthcare analytics. The company sponsors international AI professionals for data science and ML roles.
Apply for visa-sponsored AI roles at AstraZeneca.
5. ARM
ARM is a UK-based technology company specialising in semiconductor design and AI-enabled computing. The company recruits ML engineers and AI researchers and sponsors skilled international talent.
Apply for visa-sponsored roles at ARM.
You can also explore AI and ML jobs with sponsorship through UK Visa Jobs and Workbeyond, which specialise in roles open to international candidates.
Visa Options for AI and ML Professionals
1. Skilled Worker Visa
- Requires a job offer from a licensed sponsor
- Minimum salary typically £41,700
- Most common route for AI and ML professionals
- Can lead to permanent residency
Learn more about the Skilled Worker Visa here.
2. Graduate Visa
- For international graduates from UK universities
- Two years of work without sponsorship
- Ideal for gaining experience before switching to Skilled Worker status
Learn more about the Graduate Visa here.
3. Scale-Up Visa
- For fast-growing tech companies hiring skilled AI professionals
Learn more about the Scale-up Visa here.
4. Global Talent Visa
- Suitable for highly accomplished AI and ML professionals with strong research or industry recognition
- Many AI and ML engineers will also be eligible for this visa
Learn more about this visa here.
Job Application Strategy
If You Are a Student
- Build AI and ML projects outside coursework
- Participate in hackathons and Kaggle competitions
- Seek internships in data science or AI teams
You can apply for an internship that can lead to a visa-sponsored full-time job offer here. However, the approach can vary if you are based outside the UK. You can learn more about how to approach a job search depending on your location in our learning hub.
If You Are a Recent Graduate
- Use the Graduate Visa if eligible
- Apply for junior ML engineer or data scientist roles
- Emphasise project experience and internships
You can apply for visa-sponsored graduate roles here. However, the approach can vary if you are based outside the UK. You can learn more about how to approach a job search depending on your location in our learning hub.
If You Have Experience
- Target mid-level and senior AI roles with sponsorship history
- Highlight production-level ML systems and business impact
- Showcase cloud and MLOps experience
You can apply for visa-sponsored roles for candidates with work experience here.
Steps to Improve Your Chances
- Maintain a strong GitHub portfolio
- Demonstrate real-world ML deployment experience
- Focus on end-to-end ML workflows, not just modelling
- Tailor your CV to UK standards
- Network with UK AI professionals and recruiters
- Apply early and consistently
Interview Preparation Tips
- Expect coding and ML theory questions
- Prepare to explain model choices and trade-offs
- Be ready for system design and ML pipeline questions
- Practice explaining complex concepts clearly
- Use STAR method for behavioural interviews
If you do not know where to start, you can also join our live webinars on CV writing and interviews or explore the learning hub.
Resources at UK Visa Jobs
At UK Visa Jobs, we help international finance professionals by offering:
- Curated Job Listings: Visa-sponsored roles in finance and business management.
- Webinars: How to write a UK-standard CV and prepare for finance interviews.
- Career Support: Guidance on applying for corporate finance and treasury roles in the UK.
Explore the UK Visa Jobs resources page for more articles and advice. If you would like more curated and tailored support, explore the UK Visa Jobs learning hub.
Summary
AI and Machine Learning roles in the UK offer excellent long-term career opportunities for international professionals in 2025/2026. With strong technical skills, practical experience, and a clear visa strategy, securing a visa-sponsored AI or ML job is achievable. Focus on building applied experience, targeting sponsoring employers, and preparing thoroughly for interviews.
Start your UK AI and Machine Learning job search today with UK Visa Jobs.