54 Best de ai developer Jobs in St Albans (enero 2026)

Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

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Title: Sr Fullstack Developer Location: St Albans, UK Responsibilities: • Experience with Playwright for Front End or end-to-end testing, • Exposure to other testing tools or frameworks, • Understanding of accessibility (WCAG) and performance best practices, • Experience working in agile or product-driven teams, • Automation & Platforms: Design, implement, and maintain automated testing frameworks and scripts., • Test Strategy: Develop test plans covering functional, integration, and user acceptance testing., • Execution & Reporting: Perform tests, monitor progress, and provide timely feedback., • Continuous Improvement: Collaborate with engineering teams to enhance automation and deployment practices., • Compliance: Adhere to QA standards, governance, and mandatory training., • Generative AI & LLM Integration - Experience in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases, embeddings, and building AI-powered automation solutions that leverage natural language understanding. Skills: Strong knowledge of manual and automated testing methods. Experience with web, desktop and mobile application testing. Proficiency in automation tools (Selenium, Playwright, Java, Python etc). ISTQB Foundation (or equivalent). Ability to work in Agile/Scrum teams and coach others in automation practices. Closing Date: 08-Jan-2025

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Nipuna Solutions

Senior Software Engineer

Location: StAlbans, UK Responsibilities: Generative AI & LLM Integration - Experience in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases, embeddings, and building AI-powered automation solutions that leverage natural language understanding. API Development - Experience in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating disparate systems to create seamless automated workflows. Document Processing & OCR - Experience implementing intelligent document processing solutions using OCR technologies (Tesseract, Azure AI Document Intelligence, natural language processing for information extraction, document classification, and building end-to-end pipelines for automated document ingestion, processing, and data extraction with validation rules. Maintain web applications using Next.js and React. Implement and design responsive user interfaces using Tailwind CSS. Collaborate with Back End engineers to design, integrate, and test FastAPI. Develop and maintain Back End components in Python, ensuring robust unit testing practices using Gherkin language, Cucumber, and Playwright. Deploy and manage applications on AWS cloud infrastructure. Ensure the scalability, performance, and security of applications. Participate in Scrum ceremonies (daily stand-ups, sprint planning, retrospectives). Collaborate closely with designers, developers, and product managers to deliver features. Troubleshoot, debug, and optimize applications for maximum speed and scalability. Skills: react, nextjs, node, typescript, python, fastapi, java, springboot, Playwright, aws, docker, postgress rds, OpenAPI GPT models, Llama, RAG, vector databases Closing Date: 06-Jan-2025

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