Job Location: London, United Kingdom
Job Category: Artificial Intelligence / Machine Learning
Experience: Entry Level to Senior Level
Employment Type: Full-Time / Permanent / Contract
Salary: Competitive – Based on skills and experience
Company: Cybotrix Technologies
Job Overview
Cybotrix Technologies is hiring and supporting recruitment for AI Engineer jobs in London across entry-level, mid-level and senior-level opportunities. We are looking for professionals with strong interests or experience in artificial intelligence, machine learning, Generative AI, natural language processing, deep learning and intelligent application development.
These opportunities are suitable for candidates ranging from recent graduates with strong AI/ML foundations to experienced engineers capable of designing and deploying production-grade AI systems.
Key Responsibilities
Depending on experience and the specific position, responsibilities may include:
- Design, develop and maintain AI and machine learning solutions.
- Build, train, test and optimise machine learning models.
- Develop Generative AI and Large Language Model (LLM) applications.
- Work with structured and unstructured datasets for model development.
- Develop solutions using NLP, deep learning and predictive modelling techniques.
- Integrate AI models with applications, APIs and cloud platforms.
- Evaluate model accuracy, performance, scalability and reliability.
- Build data pipelines required for AI and ML workflows.
- Deploy and monitor models in production environments.
- Work with data scientists, software engineers, product teams and business stakeholders.
- Research emerging AI technologies and identify practical applications.
- Maintain technical documentation for models, APIs and AI systems.
Technical Skills
Candidates may have experience with some of the following technologies:
Programming: Python, SQL, Java or related languages
Machine Learning: Scikit-learn, XGBoost, LightGBM
Deep Learning: TensorFlow, PyTorch, Keras
Generative AI: LLMs, RAG, prompt engineering, embeddings, vector databases
NLP: Transformers, text classification, information extraction, conversational AI
Data: Pandas, NumPy, data preprocessing and feature engineering
Cloud: AWS, Microsoft Azure or Google Cloud Platform
Deployment: Docker, Kubernetes, REST APIs, CI/CD
MLOps: Model deployment, monitoring, versioning and automation
The exact technology requirements will vary depending on the employer and project.
Entry-Level AI Engineer Roles
Entry-level opportunities are suitable for graduates, freshers and junior professionals with knowledge of Python, statistics, machine learning fundamentals and data structures.
Candidates with academic projects, internships, certifications, GitHub projects or practical experience building AI/ML applications are encouraged to apply.
Typical roles may include Junior AI Engineer, Graduate AI Engineer, Junior Machine Learning Engineer, AI Developer and ML Associate.
Mid-Level AI Engineer Roles
Mid-level positions generally require practical experience developing and deploying machine learning or AI applications.
Candidates should be comfortable working independently on model development, API integration, data pipelines, cloud environments and production deployment.
Relevant roles may include AI Engineer, Machine Learning Engineer, Generative AI Engineer, NLP Engineer and Applied AI Engineer.
Senior-Level AI Engineer Roles
Senior opportunities are aimed at experienced professionals who can design scalable AI architectures, lead technical initiatives and solve complex AI engineering challenges.
Senior candidates may work on LLM architecture, enterprise AI platforms, MLOps, model optimisation, AI governance and large-scale production systems.
Typical opportunities include Senior AI Engineer, Lead AI Engineer, Senior Machine Learning Engineer, AI Technical Lead and AI Solutions Architect.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Engineering or a related discipline.
- Strong understanding of AI and machine learning concepts.
- Programming knowledge, particularly Python, is highly desirable.
- Knowledge of algorithms, statistics and data processing.
- Practical experience with relevant AI frameworks and libraries.
- Strong analytical and problem-solving abilities.
- Good communication and collaboration skills.
Equivalent practical experience may also be considered depending on the position.
AI Career Opportunities in London
London offers opportunities for AI professionals across technology companies, fintech, banking, healthcare, consulting, e-commerce, cybersecurity, telecommunications and enterprise software.
Cybotrix Technologies connects suitable candidates with AI Engineer job opportunities in London based on their technical skills, experience and career goals.
Whether you are beginning your AI career or looking for a senior engineering opportunity, explore roles that match your expertise in machine learning, Generative AI, NLP, deep learning and intelligent software development.
Apply for AI Engineer Jobs in London
Candidates interested in AI Engineer jobs in London can submit their latest CV with details of technical skills, project experience and availability.
Cybotrix Technologies welcomes applications from entry-level, mid-level and senior AI professionals seeking relevant opportunities in London and across the UK.