333 AI Engineer jobs in the United Kingdom

We are seeking a technically versatile contractor with a strong background in applied physics, data collection, and AI/ML modelling to join our team. In this role, you will bridge the gap between physical systems and data-driven models, playing a crucial role in our product testing environment.

• Design, run, and refine experiments to capture data under various test conditions.
• Structure, record, and manage datasets for machine learning training and validation.
• Analyse experimental results to extract insights and provide feedback to improve product/system performance.
• Transition an existing mechanical/physics-based model into a thermodynamic framework.
• Tune and optimise models to accurately represent real-world outcomes.
• Build and refine AI/ML models using PyTorch.
• Perform simulation and modelling work using Matlab.

• Strong grounding in thermodynamics and applied physics/engineering.
• Hands-on experience with PyTorch for machine learning.
• Proficiency in Matlab for analysis and simulation.
• Proven track record of systematic experiment design and data analysis.
• Practical mindset with the ability to work directly with hardware and real-world testing environments.
• Strong analytical and problem-solving skills.

• Previous work in food tech, IoT, or robotics.
• Familiarity with embedded systems or sensor integration.
• Exposure to fast-paced R&D or startup environments.

We're looking for an experienced AI Consultant / Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems.

If you're passionate about AI, thrive in fast-moving environments, and love building innovative solutions from scratch, this could be the perfect role for you.

• Building and refining LLM-based agents, including retrieval-augmented generation and data retrieval systems.

• Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases.

• Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results.

• Staying ahead of open-source AI trends and integrating the best tools into the tech stack.

• Prototyping, testing, and refining AI applications to improve accuracy and performance.

• Writing clean, modular Python code and performing rapid data processing and feature engineering.

• Identifying and prioritising opportunities for AI implementation based on business needs and feedback.

• Translating complex technical concepts into clear, accessible explanations for stakeholders.

Essential:

• Strong experience with Gen AI, NLP, and machine learning.

• Proven ability to create, train, and fine-tune LLMs/SLMs.

• Skills in prompt engineering and RAG (retrieval-augmented generation).

• Solid background in Python, Java, and database technologies (SQL/NoSQL).

• Experience in crawling/web scraping and API development.

• Experience with on-premise AI development (local LLMs, model deployment, open-source frameworks).

Desirable:

• Strong knowledge of data structures, algorithms, and solution architecture.

• Broad understanding of machine learning algorithms and principles.

• Salary: 60,000 - 70,000 DOE

• 25 days' annual leave +

Job Title: AI Engineer

Job Description:
We are looking for an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems.

Key Responsibilities:

• Design, build, and deploy AI/ML models for real-world business use cases.

• Work with NLP, computer vision, and generative AI frameworks where applicable.

• Develop data pipelines and integrate models into production systems.

• Collaborate with data scientists, engineers, and product teams to define AI solutions.

• Ensure scalability, performance, and ethical AI practices.

Required Skills & Experience:

• Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks.

• Solid understanding of machine learning, deep learning, NLP, or computer vision.

• Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP).

• Strong problem-solving, algorithmic, and analytical skills.

• Knowledge of big data tools (Spark, Hadoop) is a plus.

My Financial Services client is seeking to recruit a AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week.

As a Back-End AI Engineer, you will design and deploy secure, scalable AI services that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the

We are urgently looking for an AI Engineer to join our Device Intelligence team. The ideal candidate will have proven experience in Data science Background, leveraging both traditional AI and Generative AI techniques along with applications using React, JavaScript, and Python

Job Description:

• Data science expert to preprocess, analyse, and model data, leveraging both traditional AI and Generative AI techniques.
li>Develop and deploy AI-driven applications using React, JavaScript, and Python, ensuring scalability and production readiness.
• Design and optimize end-to-end AI pipelines, from data engineering to model training and deployment.
• Stay updated on emerging AI technologies and integrate them with existing AI/ML frameworks for innovative solutions.
• Collaborate with cross-functional teams to architect and build AI-powered full-stack applications, ensuring efficiency, security, and usability.

Job Title: AI Engineer

Job Description:
We are looking for an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems.

Key Responsibilities:

• Design, build, and deploy AI/ML models for real-world business use cases.

• Work with NLP, computer vision, and generative AI frameworks where applicable.

• Develop data pipelines and integrate models into production systems.

• Collaborate with data scientists, engineers, and product teams to define AI solutions.

• Ensure scalability, performance, and ethical AI practices.

Required Skills & Experience:

• Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks.

• Solid understanding of machine learning, deep learning, NLP, or computer vision.

• Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP).

• Strong problem-solving, algorithmic, and analytical skills.

• Knowledge of big data tools (Spark, Hadoop) is a plus.

We are seeking a technically versatile contractor with a strong background in applied physics, data collection, and AI/ML modelling to join our team. In this role, you will bridge the gap between physical systems and data-driven models, playing a crucial role in our product testing environment.

• Design, run, and refine experiments to capture data under various test conditions.
• Structure, record, and manage datasets for machine learning training and validation.
• Analyse experimental results to extract insights and provide feedback to improve product/system performance.
• Transition an existing mechanical/physics-based model into a thermodynamic framework.
• Tune and optimise models to accurately represent real-world outcomes.
• Build and refine AI/ML models using PyTorch.
• Perform simulation and modelling work using Matlab.

• Strong grounding in thermodynamics and applied physics/engineering.
• Hands-on experience with PyTorch for machine learning.
• Proficiency in Matlab for analysis and simulation.
• Proven track record of systematic experiment design and data analysis.
• Practical mindset with the ability to work directly with hardware and real-world testing environments.
• Strong analytical and problem-solving skills.

• Previous work in food tech, IoT, or robotics.
• Familiarity with embedded systems or sensor integration.
• Exposure to fast-paced R&D or startup environments.

We're looking for an experienced AI Consultant / Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems.

If you're passionate about AI, thrive in fast-moving environments, and love building innovative solutions from scratch, this could be the perfect role for you.

• Building and refining LLM-based agents, including retrieval-augmented generation and data retrieval systems.

• Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases.

• Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results.

• Staying ahead of open-source AI trends and integrating the best tools into the tech stack.

• Prototyping, testing, and refining AI applications to improve accuracy and performance.

• Writing clean, modular Python code and performing rapid data processing and feature engineering.

• Identifying and prioritising opportunities for AI implementation based on business needs and feedback.

• Translating complex technical concepts into clear, accessible explanations for stakeholders.

Essential:

• Strong experience with Gen AI, NLP, and machine learning.

• Proven ability to create, train, and fine-tune LLMs/SLMs.

• Skills in prompt engineering and RAG (retrieval-augmented generation).

• Solid background in Python, Java, and database technologies (SQL/NoSQL).

• Experience in crawling/web scraping and API development.

• Experience with on-premise AI development (local LLMs, model deployment, open-source frameworks).

Desirable:

• Strong knowledge of data structures, algorithms, and solution architecture.

• Broad understanding of machine learning algorithms and principles.

• Salary: 60,000 - 70,000 DOE

• 25 days' annual leave +

My Financial Services client is seeking to recruit a AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week.

As a Back-End AI Engineer, you will design and deploy secure, scalable AI services that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the