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Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

Trainee AI Engineer – No Experience Needed. Train online at your own pace and land your first AI Engineer role in 1-3 months. Step 1 – AI Engineering Fundamentals.

At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. Job Description Trainee AI Engineer - No Experience Needed!/n/nReady to

Visa sponsorship and relocation support are provided.

A training provider in AI offers an AI Engineer Placement Programme designed for individuals with no prior experience.Participants will learn critical AI concepts over a structured course that spans 1-3 months.The program guarantees job placement upon completion or a money-back guarantee.Candidates

A technology retail company is seeking an Applied Machine Learning Engineer for a hybrid role in Wolverhampton.You will design and deploy machine learning models to enhance business efficiency and collaborate with cross-functional teams.Ideal candidates should possess strong AI/ML skills, be clear c

Ideal candidates will have a passion for technology and will learn essential skills in Python programming, data analysis, and machine learning.

AI Engineer Placement Programme- No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Placement Programme is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office. The AI Engineer will ideally have the following attributes:.

Train online at your own pace and land your first AI Engineer role in 1-3 months. Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Trainee AI Engineer – No Experience Needed.

Oversee code reviews and ensure delivery of high-quality maintainable software. Principal Software Engineer - AI & Innovation. Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technol

I seek a creative Software Engineer with a passion for AI and Machine Learning who has is a team player, and has the attitude to grow as a developer to support this client on their AI journey. Software Engineer AI and Data, Permanent. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, S

As a principal Engineer, AI & Architecture, youll design and bui. Were building the infrastructure that embeds regulated decision-making directly into workflows, making outcomes consistent, explainable, and defensible at scale.

An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed. We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology

Senior DevOps Engineer | UK Remote / Hybrid | AI SaaS | Azure | Kubernetes | Terraform | CI/CD | Speech Tech | Cloud Infrastructure | GitHub Actions | Python | Bash | C# | React. Senior DevOps Engineer | AI‑Driven SaaS | Azure | Tech Scale Up | Oxfordshire. We're looking for a Senior DevOps Engine

You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The tea

This role is aimed at an ambitious engineer who is looking to play a fundamental role in delivering AI product at a fast growing startup. As a Founding AI Simulation and Control Engineer, you will have direct responsibility for the development and deployment of Optimal's AI agents at the most advanc

Principal Software Engineer | Applied AI | Fully Remote. Principal Software Engineer | Applied AI | Fully Remote. You are an experienced, hands-on backend engineer with strong expertise in.

We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. Work c

This is a foundational engineering hire with a clear path to Head of Engineering as we scale. Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks. Help define engineering culture and processes as the team grows around you.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Indicium AI is trusted by the world's leading enterprises t

You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as

We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce. A strong understanding of AI-based developer tools, methods and par

AI Tech Scale-Up – Backed by Top-Tier Investors, Led by World-Class Engineers. A genuine interest in AI systems, automation, and applying engineering to real-world impact. Flat, engineering-led structure with autonomy and trust.

Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote. Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote. We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of.

As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring

They already have a brilliant product, but one of their core goals this year is to improve their platform's agentic capabilities & therefore are opening up a Senior AI Product Engineering position, to try to find an engineer who can build agents from scratch and has experience setting up agentic wor

We're hiring a Gen AI Engineer. Experience with agentic frameworks such as LangGraph, CrewAI or similar beyond basic LangChain usage. They're an AI company operating at the intersection of computer vision and large language models, building intelligent workflows for industries where work happens in

AI Solution Architects / Engineers. AI solution architecture across data, models, and cloud platforms. AI solutions that solve real business problems.

Conquer AI is hiring AI Engineers to join our UK team and build production-grade agentic AI systems inside some of the largest organisations in the world. Conquer AI designs and deploys agentic AI systems into enterprise organisations. We work directly with enterprise teams across FTSE 100, FTSE 250

Alongside daily engineering responsibilities, the Principal Cloud Engineer will shape technical best practices, drive continuous improvement, and mentor engineers, fostering a culture focused on growth, learning, and innovation that supports ROCK’s ambition to become an AWS Premier Partner. Stay c

Strong Python developer with solid engineering fundamentals. We run the latest open-source models on our own infrastructure, giving you the freedom to experiment, iterate and deploy at meaningful scale - without the usual cost and rate-limit constraints. We are now embedding AI across the entire bus

Founding AI Solutions Engineer (Post-Sales) (EMEA) - fast-growing AI infra start-up |. This is a really exciting opportunity to join a company at the forefront of AI, where you’ll play a key role in helping customers succeed and scale their AI initiatives. In this role, you’ll act as a trusted p

As an AI Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Northell partners closely with clients to tailor AI-driven solutions for their unique challenges. This is a full-time hybrid role for an AI Engineer, based in Greater London with opportunities to w

A London-based alternative data company is hiring an AI Engineer to help build production AI systems used internally and eventually within client-facing products. Are you ready to design agentic AI systems end-to-end in a small, high-ownership engineering team?. This role will focus on designing and

We’re working with a growing data & AI practice looking for someone to lead the next phase of their AI engineering capability. Hiring: AI Engineering Lead (UK, Hybrid). Leading and developing a high-performing AI engineering team.

Experience with deploying and scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker) Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipel

Protein Works is scaling fast across DTC, paid, and international channels.