3084 IT & Software Developer jobs in the UK
Requirements
Must:
- Solid understanding of artificial intelligence concepts, agentic systems, and machine learning fundamentals.
- Experience building and integrating intelligent agents, conversational bots, or AI-powered web applications.
- Proficiency in Python for AI/model integration and rapid prototyping; familiarity with frameworks such as FastAPI, Flask, Django, or similar.
- Strong experience in front-end development (JavaScript, TypeScript, React, Angular, or Vue.js) for building interactive web applications and UIs.
- Knowledge of back-end development (Node.js, Python, Java, or C#) for robust API and service creation.
- Familiarity with data engineering concepts, data integration, and handling structured/unstructured datasets.
- Experience with vector databases and semantic search for agentic AI knowledge management.
- Proven ability to develop secure APIs and integrate solutions with enterprise platforms.
- Working knowledge of cloud computing platforms (Azure, AWS, GCP) and deploying web/AI applications in cloud environments.
- Awareness of DevOps/MLOps best practices for automated deployment, monitoring, and version control.
- Understanding of security, privacy, and compliance requirements for AI and web applications.
- Ability to collaborate effectively in cross-functional teams, translating business needs into technical solutions.
- Strong analytical, problem-solving, and organizational skills, with attention to detail.
- Capable of managing multiple projects, prioritizing tasks, and delivering results in a fast-paced environment.
- Typically 3-5 years of experience developing AI-driven applications, intelligent agents, or web solutions in enterprise environments.
- Proven hands-on expertise in agentic AI development, prompt engineering, and integrating AI models into web applications.
- Demonstrated experience in front-end and back-end software development and building scalable web platforms.
- Solid experience in API development and secure integration with enterprise systems.
- Experience supporting data integration, ingestion, and management for AI applications.
- Practical experience deploying and scaling applications in cloud environments (Azure, AWS, or GCP).
- Familiarity with DevOps/MLOps practices for development lifecycle management.
- Track record of delivering projects that align with business objectives and demonstrate measurable value.
Responsibilities
- Build, customize, and deploy agentic AI applications and solutions using platforms such as Azure AI Foundry, Power Platforms Copilot Studio, AWS Bedrock Agent Core, or Google Vertex.
- Develop web applications (front-end and back-end) to facilitate agent interactions, user experiences, and business workflows.
- Collaborate with AI Engineers, Data Engineers, and Automation Engineers to integrate AI models, data pipelines, and automation capabilities into applications.
- Implement effective prompt engineering and optimization strategies to enhance agent performance, reliability, and accuracy.
- Engage with internal stakeholders and clients to gather requirements, provide technical expertise, and deliver user-centric AI solutions.
- Design, develop, and maintain APIs for secure integration of AI-driven functionalities with enterprise systems (CRM, ERP, HRIS, finance, etc.).
- Support data ingestion, processing, and integration activities to ensure accurate, timely delivery of data for AI applications.
- Work with vector databases, semantic search, and knowledge management tools to enable intelligent agent capabilities.
- Deploy and manage AI solutions and web applications within cloud environments (Azure, AWS, GCP), ensuring scalability and performance.
- Apply DevOps and MLOps practices for efficient development, deployment, and lifecycle management of AI-enabled applications.
- Ensure all AI and software solutions adhere to security, privacy, and compliance requirements (GDPR, HIPAA, etc.).
- Identify and proactively mitigate risks related to AI deployments, including ethical considerations and bias.
- Provide clear documentation for technical designs, project plans, and operational procedures.
Description
We are a global Centre of Excellence seeking an AI Developer to join our collaborative, cross-functional team in London. This position offers a hybrid working model, requiring 2-3 days onsite. In this role, you will contribute to the design, development, and deployment of intelligent agentic AI solutions that drive measurable business impact. We provide an environment where innovative minds can thrive with competitive compensation, and the chance to work on high-value projects impacting both the organization and our clients.
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You can find Machine Learning Engineer salaries in the UK here.
How many Machine Learning Engineer jobs are in the UK?
Currently, there are 3084 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the UK a good place for Machine Learning Engineers?
The UK is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the UK?
The Scouts Association, Mas & Pas Limited, Digital Advanced Control, Patrick Snyder Mail Systems, Ctrl Alt, Accenture, Lloyds Banking Group among others, are currently hiring for ML, AI roles in the UK.
The company with most openings is Experis as they are hiring for 104 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Experis as they are hiring for 104 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.