AI Engineer Jobs in London For International Candidates 2026

Smart AI engineers from all over the world are being asked to work in London! Some of the best AI startups, study centers, financial firms, and global tech giants are based in London, which has a thriving AI and machine learning ecosystem.

AI Engineer Jobs in London For International Candidates, A lot of companies in the UK are looking to hire AI engineers and will sponsor visas for qualified foreign applicants through the Skilled Worker Visa program. Depending on experience, technical knowledge, and the size of the company, salaries can range from £45,000 to £120,000 or more per year. They usually come with success bonuses, stock options, and benefits packages.

Details of AI Engineer Job in London:

• Job Title: AI Engineer Jobs in London For International Candidates
• Primary Location: London, United Kingdom
• Additional Locations: Cambridge, Oxford, Manchester, Edinburgh, Bristol
• Employment Type: Full-Time, Permanent
• Work Options: Hybrid or Fully Remote (company-dependent)
• Salary Range: £45,000–£120,000+ per year
  • Based on experience, technical expertise, and employer size
  • Includes performance bonuses, equity options, and benefits packages
• Country: United Kingdom

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Hiring Companies

We collaborate with highly reputable companies offering full-time opportunities for international AI talent:

• DeepMind (Alphabet)
• Babylon Health
• Microsoft Research Cambridge & London AI Hub
• Faculty AI
• Tractable AI
• Revolut
• Onfido
• Seldon
• Graphcore
• ThoughtMachine
• Palantir Technologies
• Ocado Technology
• BBC R&D London
• ZOE
• Accenture AI Labs UK
• Startups and fintechs in Shoreditch and Canary Wharf

About the Job:

As an AI Engineer, your job is to plan, create, and use AI solutions that change how businesses work. You will work with big data sets, make predictive models, and set up real-time machine learning systems in fields like banking, healthcare, retail, cybersecurity, and self-driving cars.

London is a great place to move up in your job, whether you’re good at NLP, deep learning, computer vision, or reinforcement learning.

Key Responsibilities:

• Create, train, and use deep learning and machine learning models
• Try your hand at NLP, computer vision, or time series prediction.
• Create AI tools that can be expanded for real-time use
• Use experimental data to improve the model’s performance.
• Work together with software engineers, product managers, and data scientists
• Do preparation and data analysis
• Cloud systems (AWS, Azure, GCP) should have AI solutions built in.
• Keep up with the newest AI trends and study.
• Set up CI/CD processes for deploying models
• Make sure that all AI advances follow ethical rules.

Required Skills:

• Knowledge of Python and AI/ML tools like TensorFlow, PyTorch, and Scikit-learn
• Know-how in NLP, machine vision, or recommendation systems
• A deep knowledge of data structures, algorithms, and statistical modeling
• Being able to work with big numbers
• Knowing how to use MLOps, cloud platforms, and containerization tools
• Understanding of APIs and putting ML models to use in real life
• Knowing how to use Jupyter, Git, and other tools for working together
• Good expert writing and communication skills

Desirable Experience:

• PhD or Master’s in Computer Science, AI, Machine Learning, Data Science, or related field
• Published papers in AI conferences (NeurIPS, CVPR, ICML)
• Contributions to open-source AI projects
• Experience with AutoML, federated learning, or Explainable AI
• Work in robotics, smart healthcare, fintech, or autonomous vehicles

Check Also: Multi-skilled Shift Engineer Jobs in London with Visa

Required Application Documents:

• Updated CV/Resume
• Statement of interest or cover letter
• Portfolio, GitHub profile, or published research
• Academic transcripts or certificates
• Valid passport
• English proficiency test (IELTS for UKVI, if required)

Popular AI Domains in London

• Natural Language Processing (NLP)
• Conversational AI & Chatbots
• Computer Vision
• Predictive Analytics
• Deep Learning & Neural Networks
• AI in Healthcare & Bioinformatics
• Fintech & Fraud Detection
• AI in Cybersecurity
• Robotics & Autonomous Systems

Legal Path to Work in UK:

Skilled Worker Visa (Tier 2):

• If needed, an IELTS prep course
• Sponsorship from a legal company in the UK
• Offer of a skilled job that qualifies
• A minimum pay level is needed.
• Length: up to 5 years, renewed
• This process leads to Indefinite Leave to Remain (ILR) and then British citizenship.
• Dependents (spouse and kids) are included.

Application Process:

Prepare Required Documents:

• Updated resume or CV
• Letter of interest or statement of interest
• If you have one, your portfolio, GitHub profile, or written work
• Certificates or papers from school
• Need a passport
• Take an English test, like the IELTS for UKVI if needed.

Search & Shortlist Companies:

• In London, Cambridge, Oxford, Manchester, Edinburgh, and Bristol, you can look at job openings at AI companies, tech giants, and research institutions.
• Pay attention to companies that will support your Skilled Worker Visa.

Submit Application:

• You can apply directly through the company’s jobs page or through a recruitment partner.
• Send job applications via email to specific addresses, such as ai.jobs@techaiglobal.co.uk.

Screening & Interviews:

• CVs and files are looked over by recruiters.
• Take part in coding tests, technical assessments, or AI problem-solving tasks.
• Go to more than one round of interviews (both professional and HR).

Job Offer & Visa Sponsorship:

• Get a written job offer from a legal company in the UK.
• The employer pays for the skilled worker visa.

Visa Application & Approval:

• Submit your visa application with sponsorship documents.
• Await approval from UK Visas and Immigration (UKVI).

Relocation & Onboarding:

• Move to the UK (if you are a foreign applicant).
• Finish getting to know the company and start your new job as an AI Engineer.

Frequently Asked Questions: