Trainee AI Engineer – 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? ITOL Recruit's AI Traineeship 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. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. 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. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our 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, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – 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? ITOL Recruit's AI Traineeship 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. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. 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. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our 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, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Join us as a Transcription Specialist and contribute to improving AI-driven speech recognition. You will review audio files, transcribe spoken content accurately, and refine transcripts to ensure high-quality data that supports the development of advanced language models.

Project Benefits

• Flexible hours – Work on your own schedule
• Remote – Work from anywhere
• Fair pay globally – Always above minimum wage in your market
• Scalable earnings – The more you work, the more you earn

Task Summary (What to Expect)

• Review and modify machine-generated audio segmentation and transcriptions
• Ensure all transcriptions meet quality standards for AI speech-recognition development
• Follow detailed project guidelines as an AI Specialist
• Work flexibly and comfortably while contributing top-quality data

Contributor Requirements

• Proficient in Welsh (spoken and written)
• Good listening and attention to detail
• Reliable internet connection
• Laptop or desktop (no mobile devices)

This is a long-term opportunity where you can continue working on available tasks over time. The more tasks you complete, the more you earn, allowing you to increase your earnings based on your availability and productivity.

Payments

You will be paid at the agreed hourly rate (depending on your location), and all work must meet the required quality standards. You may complete as many tasks as your availability allows.

This is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen with instructions to create your account, complete setup requirements, and proceed with participation in the project.

If you’re passionate about precision, language, and AI innovation — we’d love to have you on the team

$19 - $19 an hour

Payments for the project will be based on the actual time spent.

#crowdgen

This opportunity is open for residents of most countries. However, due to local regulations, we are unable to offer this project for US residents living in California, Hawaii, New York, Massachusetts, New Jersey, or Nevada.

Investment Banking - UX and Data Integration Engineer - Snowflake, Databricks, Kafka, Python, SQL, ETL, Power BI, Contract

What will you be doing?

The ENS UX and Data Integration Engineer is responsible for integrating diverse data sources into enterprise analytics platforms and translating business and user requirements into scalable, well designed data solutions.
This role sits at the intersection of data engineering, platform integration, and user experience, ensuring that data powering AI and analytics use cases is structured, performant, and well understood by downstream consumers.
The role requires strong hands on experience with Snowflake and Databricks, as well as the ability to collaborate closely with developers, data owners, and UX stakeholders.

Key Responsibilities:

Partner with developers, data owners, and stakeholders to capture requirements and translate them into clear technical data integration solutions.
Integrate diverse internal and external data sources into Snowflake to support AI model inference and analytical workloads.
Build and support equivalent integrations and pipelines within Databricks for AI and advanced analytics use cases.
Design and implement Snowflake schemas optimized for specific analytical and AI riven use cases.
Design and implement Databricks schemas and data structures aligned to performance, scalability, and usability requirements.
Develop and maintain ETL/ELT pipelines using appropriate tooling and best practices.

Skills that will help you in the role:

Hands-on experience integrating data into Snowflake and Databricks in production environments.
Strong working knowledge of Kafka, Python, and SQL.
Experience building and maintaining data pipelines using modern ETL/ELT tools.
Familiarity with Git-based development workflows.
Experience with visualization or monitoring tools such as Power BI and Grafana.
Solid foundation in Big Data Engineering and Data Analytics principles.

Hybrid working - Glasgow based - Inside IR35

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Trainee AI Engineer – 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? ITOL Recruit's AI Traineeship 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. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. 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. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our 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, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Glasgow (Hybrid - 2 days per week in office)

Basic salary circa £80k

A well-established organisation is looking to bring in an AI Engineer to help scale its intelligent automation capability. This AI Engineer role is centred around building AI-led solutions that streamline processes, improve decision-making, and enhance the overall user experience.

Working as part of a wider technology function, the AI Engineer will design, build, and run automation solutions that combine generative AI, workflow tools, and system integrations. You’ll be involved across the full lifecycle - from shaping ideas and selecting the right approach, through to delivery, monitoring, and ongoing improvement.

The role suits an AI Engineer who enjoys hands-on engineering but also wants to influence standards, approaches, and the wider direction of AI adoption within a business.

AI Engineer - Key Requirements:

Proven experience building AI or automation solutions in a commercial setting

Strong knowledge of Microsoft AI and automation tooling (Copilot Studio, Power Platform, Azure OpenAI)

Experience designing workflows that combine AI with traditional automation approaches

Understanding of APIs, authentication, and enterprise system integration

Experience working with data securely and applying governance principles

Ability to design solutions that are scalable, maintainable, and observable

Strong communication skills and ability to work across teams

AI Engineer - Salary & Benefits:

Basic salary circa £80k

Discretionary bonus

Competitive pension scheme

25 days holiday (+ bank holidays)

Private medical cover

Life assurance and income protection

Share save scheme

Flexible benefits and learning opportunities

If you’re an AI Engineer looking to build meaningful solutions, work across a range of technologies, and help shape how AI is used within a large organisation, this role offers a strong blend of hands-on delivery and strategic input.

We are an equal opportunities employer and welcome applications from all suitably qualified candidates, regardless of race, sex, disability, religion/belief, sexual orientation, or age.

TPBN1_UKTJ

Senior Data Scientist AI & Intelligent Products

Location: Glasgow

Salary: Competitive

The Role

Data is our superpower not just for insight, but for building intelligent, scalable products.

We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies.

This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering. You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation.

You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions.

What You ll Be Doing

Today: Driving Commercial Impact with Data

• Lead end-to-end data science projects that deliver measurable business outcomes
• Work hands-on with data analysis, modelling, and experimentation
• Translate business challenges into analytical solutions and clear insights
• Partner with stakeholders across commercial, product, and engineering teams
• Embed data into decision-making across the organisation
• Mentor and support a small team of Data Scientists

Evolving the Role: Building AI-Powered Capabilities

• Design and develop AI-powered features such as assistants, copilots, and intelligent workflows
• Build and deploy Retrieval-Augmented Generation (RAG) pipelines
• Apply NLP techniques to structure and unlock value from unstructured text
• Develop semantic and hybrid search solutions (vector + keyword)
• Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications

Future State: Shaping Intelligent Products & Strategy

• Help define how AI becomes embedded in our core product offering
• Influence product strategy through data and AI capabilities
• Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration)
• Establish best practices for experimentation, evaluation, and model performance
• Elevate the organisation from analytics-led to decision intelligence and AI-driven automation

What We re Looking For

Core Data Science Expertise

• Strong experience as a Data Scientist in a SaaS or data-rich environment
• Proven track record of delivering commercially impactful solutions
• Expertise in experimentation, statistical analysis, and modelling
• Strong SQL and data manipulation skills
• Experience with Elastic / Elasticsearch and observability tooling

Engineering & AI Capability

• Strong Python skills and experience building data/ML pipelines
• Experience developing APIs or production-grade systems
• Hands-on exposure to LLMs and prompt engineering
• Understanding of RAG architectures and NLP pipelines
• Familiarity with search technologies (Elasticsearch, vector databases, or similar)

Collaboration & Influence

• Excellent stakeholder management and communication skills
• Ability to translate complex technical work into business value
• Comfortable working cross-functionally across product, engineering, and commercial teams

Leadership & Growth

• Experience mentoring or supporting junior team members

• Interest in shaping standards, tools, and ways of working

• Motivated by building both immediate impact and long-term capability

• Docker, Kubernetes, or scalable deployment environments

• Background in building AI-powered or search-driven products

Why Join Us?

• Immediate impact: Deliver high-value data science work from day one
• Future-facing: Help build real AI products not just models in notebooks
• Ownership: Shape both what we build and how we build it
• Growth: Evolve into a key leader in AI and data strategy
• Environment: Fast-moving, collaborative SME where data and AI are core to success

To Apply

If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

.NET Developer - Fastest Growing Social Media Firm - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is on a quest to transform how people discover, view and share content by combining the beauty and ease of print with the power of social media. Their key management team comprises of former top performers from Google, Apple, MSFT, NetFlix, Yahoo, Facebook, BBC Worldwide and Sony. Having raised over £300 million from well respected investors they have recently opened new offices in the UK and are on the lookout for the very best .NET Developer. .NET Developer applicants should be experienced in: .NET, .NET Core, C# and Azure SQL. You should have a strong grasp of object orientated (OO) development principles. Our client can provide you with industry recognized training in: .NET 10.0, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Bootstrap and MongoDB. Our client has a flat organization, which means that they believe great ideas can come from anywhere and anyone. From the beginning they've been uncompromising in creating a culture that inspires great work and values the health and balanced lives of their staff. If you are as excited as they are about building the first social magazine and transforming the social media experience, then apply without delay! Location: Manchester, UK / Remote Working Salary: £40,000 - £50,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETRECNOIRUKREC NC/NET/137

ENS UX & Data Integration Engineer

Location - Glasgow (Hybrid / 3 days onsite, non-negotiable) Duration - 12-month contract

Day rate - circa £450 PAYE

We are seeking a skilled ENS UX & Data Integration Engineer to join a high-performing enterprise technology team. This role sits at the intersection of data engineering, platform integration, and user experience-supporting advanced analytics and AI-driven solutions.

Key Responsibilities

• Integrate diverse data sources into enterprise platforms such as Snowflake and Databricks
• Design scalable, high-performance data models for analytics and AI use cases
• Build and maintain robust ETL/ELT pipelines using modern tooling
• Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions
• Support AI/ML inference pipelines and data workflows
• Produce clear documentation covering data flows, schemas, and integration patterns
• Monitor and optimise data performance, resolving issues as needed

Required Skills & Experience

• Strong hands-on experience with Snowflake and Databricks in production environments
• Proficiency in Python and SQL
• Experience with Kafka and modern data pipeline frameworks
• Solid understanding of data modelling, big data, and analytics principles
• Familiarity with Git-based development workflows
• Experience with Power BI, Grafana, or similar tools
• Strong communication skills and ability to work across cross-functional teams

This is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement.

If this seems like a good fit, please apply today!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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.

Senior AI Engineer | Reading, Hybrid | £75,000 £100,000 + bonus + exceptional benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice has scaled rapidly through strategic acquisition and a strong delivery pipeline across commercial, central government and defence clients. You'll be designing, building and shipping enterprise GenAI systems in Python. What you'll be doing Designing and building production LLM and GenAI solutions in Python from prototype through architecture to deployment. Implementing advanced RAG pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate and Chroma, and tuning embedding models for enterprise data. Building agentic systems using frameworks like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen tool use, function calling, multi-step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. Productionising solutions with FastAPI, async Python, Pydantic, Docker and Kubernetes , deployed into Azure-native infrastructure . Partnering with data engineers, solution architects and advisory consultants on end-to-end AI programmes. Engaging directly with senior client stakeholders to shape solution direction. What you'll bring Proven Python engineering background clean, tested, production-ready code. Hands-on experience building and deploying LLM / GenAI solutions in production not just POCs or notebooks. Strong working knowledge of RAG patterns, agentic frameworks, vector databases and embedding models . Familiarity with prompt engineering, LLM evaluation and guardrail design (hallucination mitigation, prompt injection defence, content safety). Experience with cloud-native deployment Azure preferred, with Docker, Kubernetes and CI/CD. Solid grasp of LLMOps versioning, tracing, monitoring, cost management and responsible AI. Consultative, client-ready communication comfortable translating ambiguous business problems into AI solutions. Why this role stands out Join a fast-scaling AIpractice backed by two strategic acquisitions and a packed pipeline of enterprise GenAI delivery. Advisory-led, not body-shop you shape the solution, not just implement someone else's design. Work across commercial, central government and defence genuinely interesting problems, not just marketing chatbots. Top Employer award winner with an exceptional benefits package, strong development pathways, and a culture that consistently ranks among the best in UK tech consulting. Real ownership, real impact, and a clear runway into senior technical leadership. In return you will get Competitive compensation package with strong base salary and bonus opportunities Generous and growing annual leave, including loyalty days and birthday leave (up to 29 days total) Comprehensive health support, including private medical insurance and 24/7 wellbeing assistance Family-first policies with enhanced maternity, adoption, and paternity leave Flexible, trust-based working environment designed to support worklife balance Ongoing investment in people through training, coaching, wellbeing support, and lifestyle perks This role is designed for an AI Engineer who wants to build real systems at scale, with accountability inside a consultancy that's genuinely shipping GenAI at the enterprise level. Apply now through Bright Purple to learn more. Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry. TPBN1\_UKTJ

About Chapter One

Chapter One is a dynamic, growing charity with a vision of a world in which all children have the literacy skills needed to thrive. Our mission is to close the reading gap by providing children with one-to-one support at the time they need it most. We work in thirteen areas/regions of the UK and will support over 4,000 children in 2026-27.

Our unique Online Reading Volunteer programme pairs struggling five to seven-year old (P2-4) readers with reading support volunteers who are working professionals. The volunteer ask is very focused: readers commit 30 minutes a week to read with a child using a bespoke digital platform for an entire academic year. The results are transformative, boosting children’s reading confidence and ability.

From a school perspective, online reading volunteers provide direct, meaningful literacy support for up to 10 pupils per class. The programme is particularly suitable for communities where it might be challenging to find parents and other volunteers who can commit to physically visiting schools to boost reading. For more information please visit our website and watch this short video!

About the Role

Chapter One is seeking a Scotland Programme Manager who is an excellent communicator and is able both to motivate and support schools and teachers to implement our online reading volunteers programme, and also to ensure that the programme’s impact and benefit to disadvantaged communities is maximised throughout the academic year.

The post is ideal for someone looking for part-time, flexible, term-time only work from a home base and who is able to travel frequently in and around Edinburgh and Glasgow. The postholder will be joining a team of established Programme Managers who work in different parts of the UK and will need to have some flexibility to work some additional hours during busy autumn weeks, and conversely to work fewer hours during quieter periods of the year.

Key Responsibilities:

• Effectively explain Chapter One’s online reading volunteer programme and its benefits to school leaders and teachers.
• Install, setup and maintain Chapter One equipment in participating classrooms. This will include technical configuration/troubleshooting of mobile internet hotspots with IT team support.
• Organise and conduct initial teacher training and follow-up.
• Ensure a smooth initial launch of Chapter One’s programme in every classroom.
• Fully understand the operation of the Chapter One platform and database and effectively communicate this to others as needed.
• Liaise with colleagues performing technical and volunteer support roles.
• Through regular visits to/contact with schools, provide on-going embedded professional learning and support to teachers throughout the year as needed.
• Proactively monitor classroom adherence/fidelity to the Chapter One model, including systematic review of data reports and volunteer feedback, taking proactive action to resolve problems that arise.
• Analyse and manipulate data (largely in Google sheets) to produce reports and identify trends.
• Create regular data summaries for all participating classrooms.
• Lead annual review meetings for senior leadership at participating schools.
• Support programme monitoring, evaluation and research as required.
• Coordinate in person and virtual school ‘visits’ of volunteer teams to classrooms where necessary. This may include opportunities for Chapter One children to visit the office of the volunteers.
• Liaison with corporate partners as required.
• Weekly communication and status updates with Senior Programme Manager(s) and wider team.
• As a new school year approaches, secure commitments from returning schools and help find and target new schools to join Chapter One’s programme.

We are looking for applicants with the following essential qualities:

• Highly motivated individual with excellent interpersonal and organisational skills.
• Proven track record of working at a senior level in education, project management or a related field.
• Proven strength in both written and verbal communication.
• Highly IT literate, with excellent computer skills, able to troubleshoot software and technical hardware issues, adept with Google suite and Microsoft Teams.
• Ability to manipulate and analyse data to draw useful conclusions to improve programme delivery.
• Proven ability to work independently.
• Self-starter and quick learner.
• Ability to adapt and embrace a changing environment.
• Ability to drive and access to a car for work purposes.

Ideally, applicants will also have the following desirable qualities:

• Two years of teaching/education experience with primary age children.
• University degree.

How to Apply

Please send your CV (maximum 2 A4 sides) and a covering letter via Charity Jobs. Your covering letter (maximum 1 side of A4) should:

1. Explain your relevant experience and why you’re interested in this role at this point in your career.

2. Share your ability to be resilient when things are not going the way you thought, including clear examples of past experiences.

3. Explain how our organisational mission is in line with your values.

Applications that fail to meet these criteria will automatically be discounted. We understand that you may use AI to help craft your application, but do remember that we will be looking for individuals who write a letter that stands out. We want you to have every opportunity to shine and to show us your talents - please let us know if there is anything we can do to make sure the assessment process works for you.

Chapter One is an Equal Opportunity Employer. We value and celebrate diversity in backgrounds and experience and are deliberate about the kind of teams we are building. Literacy is a universal concern, and we need people from all backgrounds to maximise our innovation, creativity and impact. We especially welcome applications from persons who have experienced disadvantage and/or from those who are of Black, Asian and Minority Ethnic communities who are currently underrepresented in the organisation.

Chapter One is committed to safeguarding children and young people. All postholders are subject to satisfactory references and a PVG check. Copies of our Safeguarding Policy and Safer Recruitment Policy are available on request.

N.B. Shortlisting and phone screening are likely to take place week commencing Monday 18th May. For successful candidates, interviews are likely to begin week commencing Monday 1st June.

ENS UX & Data Integration Engineer

Location - Glasgow (Hybrid / 3 days onsite, non-negotiable)
Duration - 12-month contract

Day rate - circa £450 PAYE

We are seeking a skilled ENS UX & Data Integration Engineer to join a high-performing enterprise technology team. This role sits at the intersection of data engineering, platform integration, and user experience-supporting advanced analytics and AI-driven solutions.

Key Responsibilities

• Integrate diverse data sources into enterprise platforms such as Snowflake and Databricks
• Design scalable, high-performance data models for analytics and AI use cases
• Build and maintain robust ETL/ELT pipelines using modern tooling
• Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions
• Support AI/ML inference pipelines and data workflows
• Produce clear documentation covering data flows, schemas, and integration patterns
• Monitor and optimise data performance, resolving issues as needed

Required Skills & Experience

• Strong hands-on experience with Snowflake and Databricks in production environments
• Proficiency in Python and SQL
• Experience with Kafka and modern data pipeline frameworks
• Solid understanding of data modelling, big data, and analytics principles
• Familiarity with Git-based development workflows
• Experience with Power BI, Grafana, or similar tools
• Strong communication skills and ability to work across cross-functional teams

This is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement.

If this seems like a good fit, please apply today!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

I am recruiting for a Dev Support Engineer to be based full time on site in Glasgow. The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. You will provide Tier 1-2 developer support for approved AI development tools (Claude Code, GitHub Copilot CLI, Cloud Agent, and Q3/Q4 tools such as Codex, Grok Critique, Gemini Code Assist). You will also have experience of supporting large-scale user onboarding, enablement, and access provisioning across thousands of developers. You will have hands-on experience using AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or comparable) in a professional software development environment. A working knowledge of modern developer workflows: Git, CI/CD, IDEs (VS Code / JetBrains), terminal/shell is essential. You must have strong troubleshooting and incident-triage skills; comfortable working across operating systems (macOS, Windows, Linux). Experience supporting a global developer population and working within a ticketing/ITSM platform (ServiceNow, Jira Service Management, or similar). Please apply ASAP to find out more.

Job Title: Cloud Engineer - GCP, Python, Terraform Location: Glasgow Experience: 8-10 years Role Summary We are looking for a skilled Cloud Engineer with deep experience in Google Cloud Platform (GCP), Python, and Terraform to support a large-scale Google Cloud enablement initiative. This role will focus on building secure, scalable, and automated cloud foundations, enabling Vertex AI services, provisioning delivery environments, and implementing the target-state operating model across people, process, and technology. The ideal candidate will be responsible for engineering reusable cloud infrastructure, automating platform provisioning, embedding governance and controls, and enabling high-quality, production-ready GCP services for enterprise AI/ML workloads. Key Responsibilities Design, build, and automate GCP infrastructure using Terraform and Python. Provision and manage cloud environments required for the program, including Production. Develop reusable infrastructure modules, templates, and engineering patterns for scalable GCP adoption. Implement cloud services and platform capabilities required to enable Vertex AI APIs and enterprise AI/ML workloads. Build automation for provisioning, configuration validation, compliance checks, operational workflows, and platform integrations. Collaborate with architecture, security, network, IAM, and platform teams to deliver compliant and production-ready cloud solutions. Translate control-plane and operating model requirements into deployable engineering assets and standards. Support environment setup, service onboarding, policy alignment, and release readiness for GCP workloads. Ensure solutions meet security, compliance, governance, and resiliency requirements, especially for regulated and HCD-sensitive workloads. Contribute to CI/CD pipelines, infrastructure lifecycle management, version control, and release automation. Document platform designs, engineering standards, implementation patterns, and operational procedures. Mentor team members and provide technical leadership on cloud engineering best practices. Required Skills and Qualifications Strong hands-on experience with Google Cloud Platform (GCP). Deep experience with Terraform for infrastructure as code, module development, and environment provisioning. Strong Python development/scripting experience for automation and tooling. Experience building and managing cloud infrastructure in enterprise environments. Familiarity with core GCP services such as networking, compute, IAM, storage, monitoring, and security services. Experience with CI/CD pipelines, Git-based workflows, and automated deployment practices. Understanding of cloud governance, policy enforcement, secure design, and operational controls. Experience designing scalable, maintainable, and reusable cloud engineering solutions. Strong troubleshooting, collaboration, and technical documentation skills. Preferred Qualifications Experience with Vertex AI, AI/ML platform enablement, or API-based model integration. Exposure to enterprise cloud control planes or multi-cloud platform engineering. Familiarity with IAM, networking, security, and policy-as-code concepts. Experience in regulated environments such as banking or financial services. Knowledge of SRE, observability, and production support considerations for cloud platforms. Experience driving platform standardization and engineering operating models.Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Glasgow (Hybrid - 2 days per week in office)

Basic salary circa £80k

A well-established organisation is looking to bring in an AI Engineer to help scale its intelligent automation capability. This AI Engineer role is centred around building AI-led solutions that streamline processes, improve decision-making, and enhance the overall user experience.

Working as part of a wider technology function, the AI Engineer will design, build, and run automation solutions that combine generative AI, workflow tools, and system integrations. You’ll be involved across the full life cycle - from shaping ideas and selecting the right approach, through to delivery, monitoring, and ongoing improvement.

The role suits an AI Engineer who enjoys hands-on engineering but also wants to influence standards, approaches, and the wider direction of AI adoption within a business.

AI Engineer - Key Requirements:

• Proven experience building AI or automation solutions in a commercial setting
• Strong knowledge of Microsoft AI and automation tooling (Copilot Studio, Power Platform, Azure OpenAI)
• Experience designing workflows that combine AI with traditional automation approaches
• Understanding of APIs, authentication, and enterprise system integration
• Experience working with data securely and applying governance principles
• Ability to design solutions that are scalable, maintainable, and observable
• Strong communication skills and ability to work across teams

AI Engineer - Salary & Benefits:

• Basic salary circa £80k
• Discretionary bonus
• Competitive pension scheme
• 25 days holiday (+ bank holidays)
• Private medical cover
• Life assurance and income protection
• Share save scheme
• Flexible benefits and learning opportunities

If you’re an AI Engineer looking to build meaningful solutions, work across a range of technologies, and help shape how AI is used within a large organisation, this role offers a strong blend of hands-on delivery and strategic input.

We are an equal opportunities employer and welcome applications from all suitably qualified candidates, regardless of race, sex, disability, religion/belief, sexual orientation, or age.