Company Overview

Engineius is the leading vehicle movement service in the United Kingdom. Founded in 2018, our mission is to simplify vehicle logistics through innovative technology, providing seamless booking and management of vehicle movements for a diverse range of clients across fleet sectors. We are committed to delivering exceptional service with a focus on efficiency and customer satisfaction.

About the position As an Analytics Engineer, you will work across projects and functions, helping to solve advanced questions and steer the business to data-based decision making through technical insights.

This role will be fast-paced and needs a self-starter who can manage their own workload and shift priorities day to day. With the pace of change in AI, were not just managing datawere unlocking whats next. This role isnt just about stability; its about possibility.

Key responsibilities ? Responsible for efficiently and securely ingesting data into Amazon Redshift, ensuring the data is correctly formatted, transformed, and loaded into the data warehouse. This includes developing and maintaining data pipelines and ETL processes to facilitate the timely and accurate transfer of data into Redshift.

? Create, design, and develop data models and views in AWS Redshift that can be analysed effectively in Redshift and Power BI.

? Set up, configure, administer, and troubleshoot in AWS Redshift.

? Conduct UAT of new data pipelines, validating and analysing results to ensure data integrity and usability.

? Monitor daily loads and support the Dev Ops/Data Analysts on any issues, failures and resolving with system owners.

? Support business users in their understanding of data available, produce ERDs, data dictionaries, document known issues and contribute to resolving them.

? Explore and integrate AI tools and automation across the business.

? Experiment, prototype, and help define how AI and intelligent automation can give us a serious edge and add value across all aspects of our business.

? Develop a set of principles for the business on data governance, warehouse optimisation and GDPR

? Stay on top of trends and best practices in data software, be willing to learn and implement the latest technology in the industry.

Skills and experience we are looking for ? In-depth knowledge of SQL.

? Proficiency in data warehousing (AWS Redshift or similar) and data modelling, involving the design and enhancement of data structures to ensure optimal performance and scalability

You will be tenacious and committed to producing results with the ability to persevere with a challenge to see through the end.

For more information, please apply to be considered.

TPBN1_UKTJ

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.

About the job.

As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability. These roles are central to building sustainable in-house expertise that supports the design, development, and delivery of digital solutions across the transport network.

A key focus of this campaign is creating new opportunities. As a result, we are recruiting a Principal Machine Learning Engineer to play a leading role in shaping the future of digital services across National Highways.

Our Digital Lab designs and manages innovative data products and services in-house, while building external partnerships and increasing adoption of our digital assets to improve customer journeys, support the Strategic Road Network, and enable emerging technologies such as connected and autonomous vehicles.

As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine learning strategies that maximise adoption and unlock value from our £69 billion data assets. You will ensure solutions are commercially sustainable, technically robust, and designed around user needs and experience.

This is a hybrid role based at any National Highways office location, with an expectation to attend the office for two days per week, including weekly travel to collaborate with the team

• Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data-driven decision making across the business.
• Own service performance and continuous improvement, ensuring robust IT Service Management, regulatory compliance, model risk management, ethical AI standards, and ongoing enhancements to user experience, efficiency, scalability, and cost of operation.
• Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading-edge techniques to enable rapid, scalable, and cost-effective delivery of machine learning services.
• Build and lead senior stakeholder relationships across directorates, working with Directors and business leaders to manage service performance, prioritise demand, shape delivery backlogs, and influence future digital strategy both internally and externally.
• Provide effective operational leadership of the team, ensuring adherence to governance and compliance frameworks including budget management, forecasting, business planning, delivery controls, data governance, audit, communications, and people policies.

About you.

• Strong stakeholder management and influencing skills, with the ability to build credible relationships at senior levels, navigate complex environments, and secure positive outcomes across multiple priorities.
• Proven experience leading data innovation and systems integration, including developing and improving AI/ML products, platforms, or digital services that deliver measurable user and business value.
• Strategic mindset with the ability to turn insight into action, using evidence, data, and organisational priorities to shape plans, inform decisions, and drive successful outcomes.
• Excellent understanding of governance and risk management, with experience applying controls and standards across areas such as model risk, data governance, security, audit, and responsible or ethical AI.
• Commercial and operational leadership experience, including managing budgets, supplier performance, financial governance, and delivering cost-effective services or large-scale programmes that achieve value for money.

About us.

Here at National Highways, we manage and improve England’s motorways and major A roads, helping our customers have safer, smoother and more reliable journeys. Our priorities are safety, customers and delivery, and at the core of this, are our values of passion, integrity, safety, teamwork and ownership.

The Digital Services Directorate is helping to reshape the way National Highways operates by delivering digital, data, and technology services across all areas, from frontline to back office, in a modern and efficient manner. Our vision is to develop integrated information and technology that empowers our colleagues and provides real-time information to our customers, as well as integrating with intelligent vehicle and transport systems as they evolve, to enhance journey safety and reliability.

External candidates will be offered a starting salary at the lower end of the pay scale, while current employees will be appointed in accordance with our established pay policy.

We are committed to creating a diverse environment and welcome applicants from all backgrounds.

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 £30,000-£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 £30,000–£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

About the job.

As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability. These roles are central to building sustainable in-house expertise that supports the design, development, and delivery of digital solutions across the transport network.

A key focus of this campaign is creating new opportunities. As a result, we are recruiting a Principal Machine Learning Engineer to play a leading role in shaping the future of digital services across National Highways.

Our Digital Lab designs and manages innovative data products and services in-house, while building external partnerships and increasing adoption of our digital assets to improve customer journeys, support the Strategic Road Network, and enable emerging technologies such as connected and autonomous vehicles.

As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine learning strategies that maximise adoption and unlock value from our £69 billion data assets. You will ensure solutions are commercially sustainable, technically robust, and designed around user needs and experience.

This is a hybrid role based at any National Highways office location, with an expectation to attend the office for two days per week, including weekly travel to collaborate with the team

Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data-driven decision making across the business.

Own service performance and continuous improvement, ensuring robust IT Service Management, regulatory compliance, model risk management, ethical AI standards, and ongoing enhancements to user experience, efficiency, scalability, and cost of operation.

Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading-edge techniques to enable rapid, scalable, and cost-effective delivery of machine learning services.

Build and lead senior stakeholder relationships across directorates, working with Directors and business leaders to manage service performance, prioritise demand, shape delivery backlogs, and influence future digital strategy both internally and externally.

Provide effective operational leadership of the team, ensuring adherence to governance and compliance frameworks including budget management, forecasting, business planning, delivery controls, data governance, audit, communications, and people policies.

About you.

Strong stakeholder management and influencing skills, with the ability to build credible relationships at senior levels, navigate complex environments, and secure positive outcomes across multiple priorities.

Proven experience leading data innovation and systems integration, including developing and improving AI/ML products, platforms, or digital services that deliver measurable user and business value.

Strategic mindset with the ability to turn insight into action, using evidence, data, and organisational priorities to shape plans, inform decisions, and drive successful outcomes.

Excellent understanding of governance and risk management, with experience applying controls and standards across areas such as model risk, data governance, security, audit, and responsible or ethical AI.

Commercial and operational leadership experience, including managing budgets, supplier performance, financial governance, and delivering cost-effective services or large-scale programmes that achieve value for money.

About us.

Here at National Highways, we manage and improve England’s motorways and major A roads, helping our customers have safer, smoother and more reliable journeys. Our priorities are safety, customers and delivery, and at the core of this, are our values of passion, integrity, safety, teamwork and ownership.

The Digital Services Directorate is helping to reshape the way National Highways operates by delivering digital, data, and technology services across all areas, from frontline to back office, in a modern and efficient manner. Our vision is to develop integrated information and technology that empowers our colleagues and provides real-time information to our customers, as well as integrating with intelligent vehicle and transport systems as they evolve, to enhance journey safety and reliability.

External candidates will be offered a starting salary at the lower end of the pay scale, while current employees will be appointed in accordance with our established pay policy.

We are committed to creating a diverse environment and welcome applicants from all backgrounds.

TPBN1_UKTJ

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 success Step 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. 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. If you are not offered a role at the end of the training we will refund 100% of your course fees. 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. ‘Please note that this is a training course and fees apply

Birmingham City Centre Hybrid (WFH Monday & Friday) Competitive salary (DOE)

The Opportunity:

A market-leading organisation is looking for a .NET Developer to join their growing tech team in Birmingham.

This role goes beyond traditional development — you’ll be building core systems alongside AI-driven and agent-based solutions that are actively shaping how the business operates.

We’re specifically looking for someone who has hands-on experience building and deploying AI-powered or agentic workflows in real environments — not just experimenting but delivering.

What you’ll be doing:

• Building and enhancing core business applications, APIs, and integrations
• Developing scalable, modern .NET solutions
• Designing and implementing agentic AI workflows within business systems
• Integrating LLMs (e.g. Azure OpenAI) into production applications
• Creating automations and intelligent processes that drive efficiency
• Writing clean, maintainable, production-grade code
• Collaborating on architecture and technical decision-making
• Ensuring systems (including AI components) are reliable, auditable, and secure

AI & Agentic Focus (Core to the Role)

This role requires proven experience working with AI in production, including:

• Building agent-style or multi-step AI workflows
• Using LLMs (Azure OpenAI / OpenAI) in real applications
• Implementing prompt engineering in production environments
• Working with RAG, embeddings, or vector-based search
• Designing systems with human-in-the-loop controls and governance
• Understanding of AI reliability, evaluation, and auditability

This is a must-have — we’re looking for engineers already delivering in this space

What We’re Looking For:

Core Skills

• Strong experience with C# / .NET / .NET Core
• ASP.NET Core, Web APIs, Azure Functions
• Experience building robust, scalable, enterprise-grade systems
• Strong SQL Server / T-SQL knowledge
• Experience with APIs, integrations, and distributed systems
• Strong engineering fundamentals and coding best practices

AI Experience

• Proven experience delivering AI/LLM-powered features in production
• Hands-on experience building agentic or workflow-based AI solutions
• Experience integrating AI into real business systems
• Strong understanding of safe, governed AI implementation

Nice to have

• Azure services (App Services, Logic Apps, etc.)
• Microservices architecture
• Power Platform (Power Automate / Power Apps)
• Copilot Studio or Semantic Kernel exposure
• Front-end experience (Blazor / JavaScript)
• Agile / CI/CD environments

Why Apply?

• Work on cutting-edge AI and agentic systems in production
• Be part of a genuine transformation programme
• High ownership, high impact role
• Collaborative, forward-thinking engineering team
• Hybrid working with central Birmingham office

Apply Now

If you’re a .NET Developer with real-world AI and agentic experience and want to build solutions that genuinely impact a business — apply today with your latest CV.

Your new role"We are seeking an AI Data & Systems Architect to strengthen our data foundations during the implementation of a new ERP system and shape, develop, and deliver our future AI capability.The initial focus of this role will be on building strong data governance, improving data quality, and ensuring the business is ready to maximise value from the new ERP platform. From there, the role will define and prioritise AI and analytics opportunities, develop robust business cases, and lead the delivery of AI tools and solutions with support from third-party partners where required."What you’ll need to succeed

• Strong experience in data governance, data architecture, ERP transformation, AI/data strategy, or solution delivery roles.
• Experience improving data quality and governance in complex business environments.
• Experience supporting ERP implementation or transformation, ideally with exposure to ERP platforms.
• Strong understanding of data controls, master data, and cross-functional business processes.
• Advanced capability in Python or R for data analysis, automation, modelling, or AI tool development.

What you need to do nowIf you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Senior Data Engineer

Up to £100,000 + BenefitsRemote - UKThis is a great opportunity to join a high-growth organisation where you can take ownership of end-to-end data engineering projects and play a key role in shaping a modern, scalable data platform.THE COMPANY:This a next-generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.THE ROLE:You will take ownership of the full data engineering lifecycle.Key responsibilities include:

• Owning end-to-end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production-grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home-office setup. HOW TO APPLY:Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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.

Ruby Developer Ruby Developer

Up to £75,000 + benefitsRemote (UK)This is a great opportunity to join a high-growth startup where you can take ownership of product development using modern, AI-assisted engineering workflows.THE COMPANY:This business is in the buy-and-sell marketplace for construction materials. Engineering productivity is a core differentiator with the majority of the codebase written using AI agents, the team operates at start up speed, with a lean, high-impact engineering function.THE ROLE:They are hiring a Ruby Developer to take ownership of building and shaping features using agentic coding workflows, applying strong Ruby fundamentals while leveraging AI tools for speed and quality.Key responsibilities include:

• Building and maintaining product features using Ruby (Rails)
• Working day-to-day with AI coding agents (e.g. Codex, Claude)
• Collaborating closely with a small engineering team
• Contributing to a rapidly scaling platform in a growing marketplace business

YOUR SKILLS AND EXPERIENCE:You will bring strong capability in:

• Ruby development
• Ruby on Rails fundamentals and backend development
• Writing, reviewing and improving production-quality code

THE BENEFITS:You will receive a salary of £75,000, depending on experience, along with the opportunity to work in a fast-growing, VC-backed startup that is already a market leader.HOW TO APPLY:Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Hybrid working - 3 days per week onsite

Salary up to £65,000 per annum

A leading Birmingham-based client is seeking a Python Developer to design, build, and deploy applications using Python frameworks and LLM APIs. The position focuses on developing scalable, secure AI services in Azure’s public cloud and involves hands-on work throughout the development lifecycle, including API design, data access, AI integration, and cloud deployment.

Key skills and responsibilities:

• Design, develop, and maintain AI-driven applications and services utilising Python.
• Build and manage RESTful APIs with FastAPI.
• Integrate and oversee Large Language Models via OpenAI API or Claude (Anthropic) API.
• Implement robust data access layers using SQLAlchemy.
• Enhance performance and scalability by leveraging Redis for caching, session management, and task coordination.
• Develop analytical dashboards and streamlined user interfaces with Dash.
• Deploy, configure, and support applications on Azure App Services (Public Cloud).
• Ensure all solutions adhere to security, performance, and reliability standards.
• Collaborate effectively with product owners, data engineers, and stakeholders to translate business requirements into solutions.
• Produce clean, maintainable, and thoroughly documented code while supporting technical best practices.

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Interested?! Send your up-to-date CV to Emma Siwicki at Harvey Nash for review

Software Developer - SC cleared Permanent | Hybrid (willing to travel to Newcastle) | Python | AI | BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team thats focused on growth, both yours, our clients, and the sectors we support. Youll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, youll be part of our Specialist Talent team. That means youll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. Youll get the variety and challenge of consultancy work, with the stability and support of a permanent role. Youre not a contractor - youre a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today's digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you're new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications, all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI. Step Three Now that you're qualified for an entry-level AI or data position paying up to £35,000 per year, our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - no matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now' to begin your new career!

Birmingham | Hybrid £55,000 – £65,000 + excellent benefits We are partnering with an established, customer-focused business based in Birmingham that continues to invest significantly in its data and technology capabilities. They are seeking to appoint a Senior Data Engineer to play a pivotal role in developing their Azure data estate and to drive the next phase of their platform modernisation journey. This is an excellent opportunity for a hands-on engineer who thrives on ownership, influencing technical direction, and collaborating closely with the wider business to deliver impactful data solutions. The role offers a genuine blend of technical delivery, platform enhancement, and leadership exposure What's the job? You will be responsible for leading the design, development and optimisation of scalable data solutions within a modern Microsoft Azure environment. A key focus of the role will be enhancing data integration, modelling, and accessibility to support reporting and operational decision-making, while facilitating the ongoing migration from legacy systems to Azure. You will collaborate closely with internal Business Intelligence and technology teams, helping to establish best practises across data engineering and platform performance. Key Responsibilities Lead the design and optimisation of data pipelines and ETL/ELT workflows Develop scalable solutions across Azure Synapse, Data Factory, and Data Lake Support the ongoing evolution of the wider Azure data platform Enhance data models and reporting layers that underpin downstream BI solutions Collaborate with stakeholders across operations, finance, and technology teams Define and promote best practises around data quality, security, and governance Support cloud migration and platform modernisation initiatives Drive continuous improvement in performance, automation, and reliability Provide technical leadership and guidance across engineering projects Person Specification We welcome applications from strong engineers with solid experience across the Microsoft data stack, particularly: Azure Synapse Azure Data Factory Azure Data Lake SQL ETL/ELT pipeline development Power BI data modelling and reporting integration Experience with SSIS, SSRS, or legacy SQL environments (desirable) Most importantly, we seek someone who combines strong technical expertise with a commercial mindset and a collaborative approach. You are not expected to meet every requirement. Strong Azure data engineering experience remains the key priority. Why This Opportunity Is Worth Exploring Greater ownership and influence A modern Azure cloud environment A visible, impactful role within the business Long-term career progression opportunities A balanced blend of hands-on technical work and leadership exposure

Your new role
“We are seeking an AI Data & Systems Architect to strengthen our data foundations during the implementation of a new ERP system and shape, develop, and deliver our future AI capability.
The initial focus of this role will be on building strong data governance, improving data quality, and ensuring the business is ready to maximise value from the new ERP platform. From there, the role will define and prioritise AI and analytics opportunities, develop robust business cases, and lead the delivery of AI tools and solutions with support from third-party partners where required.”
What you’ll need to succeed

• Strong experience in data governance, data architecture, ERP transformation, AI/data strategy, or solution delivery roles.
• Experience improving data quality and governance in complex business environments.
• Experience supporting ERP implementation or transformation, ideally with exposure to ERP platforms.
• Strong understanding of data controls, master data, and cross-functional business processes.
• Advanced capability in Python or R for data analysis, automation, modelling, or AI tool development.

What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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Company Details:

Join a fast-growing, award-winning software company that delivers end-to-end cloud solutions for practices and businesses. Youll work with innovative tools, a collaborative culture and meaningful career progression

Role Overview:

My client is a fast-growing, award-winning software company that delivers end-to-end cloud solutions for practices and businesses. They are looking for an API Engineer to join the team, where you’ll be building API infrastructure that enables their product, third party integrations, their users and AI services to interact with their established product portfolio.

Key Responsibilities:

• Design and implement RESTful APIs that expose product capabilities to AI services and third-party integrations
• Build production-grade APIs using C# .NET, SQL, and Azure services
• Implement authentication and authorization using OAuth and modern security patterns
• Write clean, maintainable, well-tested code with comprehensive documentation
• Implement logging, monitoring, and error handling for production APIs
• Optimize API performance and query efficiency
• Work with AI platform teams to understand requirements and consumption patterns
• Collaborate with product engineering teams to expose functionality through consistent APIs
• Learn from senior engineers and contribute to architectural discussions

Qualifications:

• Software engineering experience with focus on backend development and APIs
• Strong C# .NET skills for building APIs and services
• Solid SQL knowledge including database querying, basic optimization, and working with relational databases
• Experience building RESTful APIs for web or mobile applications
• Understanding of API design principles including REST conventions, HTTP methods, status codes, and error handling
• Familiarity with authentication using OAuth, JWT, or API keys.

This is a full-time, permanent role, with a flexible hybrid working arrangement: minimum 2 days in the Warwick office and 3 days from home.

Our client offers a competitive salary, excellent benefits, and strong opportunities for career progression.

Apply online to be considered.

Set engineering standards. Shape how automation is delivered across managed services as anAI & Automation Architect!

Were looking for an AI & Automation Architect to sit at the heart of technical delivery within Intercitys Managed Services environment. This is a senior, high-impact individual contributor role for someone who combines strong hands-on capability with clear architectural judgement and delivery discipline.

Youll lead how automation and intelligent solutions are designed, built, and operated across the organisation. Working closely with engineering teams, service leaders, and the Business Systems Transformation Director, youll ensure solutions are scalable, secure, supportable, and deliver real operational impact.

This is a role for someone who enjoys ownership, influence, and building things properly.

About the role

As our AI & Automation Architect, youll be the technical authority for automation and intelligent platform solutions across Intercity. Youll define standards, guide delivery teams, and stay close enough to the work to test and validate decisions through real solutions.

The role blends architecture, engineering governance, and practical problem-solving. Youll shape SDLCs, challenge weak assumptions, unblock complex issues, and ensure low-code, no-code, and professional development all meet the same engineering bar.

There is no direct people management. Your impact comes through credibility, clarity, and technical leadership.

Key Responsibilitiesas an AI & Automation Architect:

• Act as the lead architect for automation and intelligent solutions across platforms such as Dynamics 365 CRM, Power Platform, HALO PSA, NinjaOne, and OpManager.
• Design end-to-end architectures that are secure, scalable, supportable, and aligned to MSP service models.
• Stay hands-on by building proofs of concept and reference solutions to validate architectural decisions.
• Define and govern software development lifecycle standards, including design, source control, CI/CD, testing, security, release, and operational handover.
• Carry out technical design reviews and code reviews to raise consistency and engineering quality.
• Act as an escalation point for complex automation and integration challenges, engaging directly with code where required.
• Identify operational inefficiencies and service gaps, resolving them through automation-first approaches.
• Lead shift-left initiatives that reduce manual effort, improve resilience, and enhance customer experience.
• Develop and support a citizen developer framework, enabling low-code delivery without compromising engineering discipline.
• Define and enforce clear policies for data handling, platform interoperability, and responsible use of intelligent tooling.
• Govern integration patterns using REST APIs, webhooks, and event-driven approaches.
• Provide constructive technical challenge to teams and stakeholders, calling out constraints that do not stand up to scrutiny.

Technical experience

• Significant experience designing and delivering automation solutions in an MSP or complex service environment.
• Strong hands-on capability with Microsoft Power Platform, including Power Automate, Power Apps, and Dataverse.
• Automation and scripting experience using PowerShell and or Python.
• Experience working with C#, REST APIs, webhooks, and modern integration patterns.
• Proven ability to define and embed SDLC best practice across mixed professional and citizen development teams.
• Solid understanding of ITIL-aligned service delivery, applying Lean and Agile pragmatically.
• Experience working across multiple service towers while maintaining architectural consistency.

Personal qualities

• Confident challenging assumptions and technical blockers constructively.
• Clear and practical when explaining complex concepts to non-technical audiences.
• Analytical, curious, and focused on outcomes.
• Collaborative, approachable, and thoughtful

What success looks like

• Automation solutions are delivered faster, with higher quality and lower operational risk.
• Engineering standards and SDLC discipline are applied consistently across platforms.
• Manual effort and incident volumes reduce in measurable, visible ways.
• Intelligent tooling is embedded responsibly, securely, and in a way that supports service outcomes.

What we offer

• 38 days holiday (including bank holidays)
• Annual pay reviews.
• Holiday buy scheme.
• All-company bonus.
• Death in service cover.
• Employee assistance programme.
• Company pension.
• Active social calendar.
• A strong focus on developing our people.

About The Company

Intercity Technology provides reliable and secure technologies in communications, cloud, and managed services, with a big difference Intercity is a technology solutions partner that isnt all about tech. Its about a great bunch of people combining their passion, expertise, and dedication to deliver extraordinary results for businesses.
Our vision is to be the best technology partner to work for and with we are really proud of our achievements so far:

• Customer Net Promoter Score of +92
• Gold Award Investors in People Accreditation
• Employer of the Year 2025 - British Business Excellence Award
• Gold Eco Vadis rating - Among the Top 3% of Companies for Sustainability Performance

We select candidates with the right skills, experience, and values to join us and selection is based on a fair and equal process. Were proud to be committed to equal opportunities and welcome all applications. As a specialist in secure technology solutions, all successful candidates will be subject to pre-employment checks, so we can ensure compliance with our ISO27001 (Information Security) and Cyber Essentials Plus certifications. We are committed to using any personal information you may give us in a secure and proper manner, for more information please see our privacy policy on our website.