Position Summary
We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.
As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.
Job Responsibilities
Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams
Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments
Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs
Lead technical planning and implementation of infrastructure improvements
Provide technical guidance on architecture decisions affecting scientific workflows
Manage and optimize WEKA storage systems and VSphere virtual environments
Support Linux-based scientific computing environments, leveraging managed services as appropriate
Implement and maintain monitoring solutions for complex computing environments
Participate in capacity planning and performance optimization initiatives
Drive infrastructure automation and continuous improvement
Manage relationships with vendors and technical partners
Vendor & Contract Management:
Manage third-party Linux support contract and contractor relationships
Define and monitor service level agreements
Ensure contractor compliance with company security policies
Review and approve contractor work
Manage vendor performance and escalations
Security & Compliance:
Act as primary point of contact for parent company security audits
Develop and maintain security compliance documentation
Coordinate and respond to penetration testing activities
Implement security recommendations and remediation plans
Ensure infrastructure meets corporate security standards
Participate in security incident response planning
Business Continuity:
Lead disaster recovery planning for scientific computing infrastructure
Coordinate and execute DR testing
Maintain DR documentation and procedures
Develop and maintain business continuity plans
Ensure RPO/RTO objectives are met
Financial Planning & Technical Debt:
Develop long-term capital planning for infrastructure
Manage infrastructure budget and forecasting for AskBio European locations
Identify and track technical debt
Create remediation plans for technical debt
Provide cost-benefit analysis for infrastructure investments
Manage infrastructure lifecycle planning
Develop business cases for infrastructure improvements
Key Competencies:
Technical:
Infrastructure architecture and design
Performance optimization
Problem-solving and troubleshooting
Security best practices
Technical documentation
Business & Management:
Contract negotiation and management
Budget planning and control
Risk management
Audit response and compliance
Strategic planning
Vendor management
Cost-benefit analysis
Interpersonal:
Strong communication skills
Stakeholder management
Team collaboration
Conflict resolution
Customer service orientation
Ability to bridge technical and scientific domains
Leadership:
Technical leadership
Project management
Mentoring and knowledge transfer
Change management
Strategic thinking
Impact Metrics: Success in this role will be measured by:
Infrastructure stability and performance improvements
Stakeholder satisfaction levels
Project delivery effectiveness
Technical problem resolution metrics
Team collaboration effectiveness
Innovation and process improvements
Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.
This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field
8+ years of experience in infrastructure engineering roles
Experience with high-performance computing environments
Proven experience supporting GPU-accelerated computing environments
Strong understanding of storage systems and networking
Experience with infrastructure monitoring and optimization tools
Demonstrated ability to work with scientific computing workflows
Experience managing vendor relationships and contracts
Knowledge of IT security and compliance requirements
Experience with disaster recovery planning and testing
Understanding of IT financial planning and budgeting
Experience with audit responses and compliance documentation
Strong experience with Linux administration and engineering
Extensive knowledge of virtualization technologies, particularly VSphere
Preferred Education, Experience and Skills
Experience with WEKA storage systems
Knowledge of AI/ML infrastructure requirements
Experience supporting bioinformatics workflows
Familiarity with container technologies (Docker, Kubernetes)
Experience with infrastructure automation tools
Understanding of scientific computing software and frameworks
Previous experience in biotech or pharmaceutical industries
Experience with cloud platforms (AWS, Azure)
ITIL certification
Security certifications (CISSP, CISM, or similar)
Experience with GxP compliance
Experience with pharmaceutical industry regulations
Previous experience managing technical debt in regulated environments
18/11/2025
Full time
Position Summary
We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.
As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.
Job Responsibilities
Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams
Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments
Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs
Lead technical planning and implementation of infrastructure improvements
Provide technical guidance on architecture decisions affecting scientific workflows
Manage and optimize WEKA storage systems and VSphere virtual environments
Support Linux-based scientific computing environments, leveraging managed services as appropriate
Implement and maintain monitoring solutions for complex computing environments
Participate in capacity planning and performance optimization initiatives
Drive infrastructure automation and continuous improvement
Manage relationships with vendors and technical partners
Vendor & Contract Management:
Manage third-party Linux support contract and contractor relationships
Define and monitor service level agreements
Ensure contractor compliance with company security policies
Review and approve contractor work
Manage vendor performance and escalations
Security & Compliance:
Act as primary point of contact for parent company security audits
Develop and maintain security compliance documentation
Coordinate and respond to penetration testing activities
Implement security recommendations and remediation plans
Ensure infrastructure meets corporate security standards
Participate in security incident response planning
Business Continuity:
Lead disaster recovery planning for scientific computing infrastructure
Coordinate and execute DR testing
Maintain DR documentation and procedures
Develop and maintain business continuity plans
Ensure RPO/RTO objectives are met
Financial Planning & Technical Debt:
Develop long-term capital planning for infrastructure
Manage infrastructure budget and forecasting for AskBio European locations
Identify and track technical debt
Create remediation plans for technical debt
Provide cost-benefit analysis for infrastructure investments
Manage infrastructure lifecycle planning
Develop business cases for infrastructure improvements
Key Competencies:
Technical:
Infrastructure architecture and design
Performance optimization
Problem-solving and troubleshooting
Security best practices
Technical documentation
Business & Management:
Contract negotiation and management
Budget planning and control
Risk management
Audit response and compliance
Strategic planning
Vendor management
Cost-benefit analysis
Interpersonal:
Strong communication skills
Stakeholder management
Team collaboration
Conflict resolution
Customer service orientation
Ability to bridge technical and scientific domains
Leadership:
Technical leadership
Project management
Mentoring and knowledge transfer
Change management
Strategic thinking
Impact Metrics: Success in this role will be measured by:
Infrastructure stability and performance improvements
Stakeholder satisfaction levels
Project delivery effectiveness
Technical problem resolution metrics
Team collaboration effectiveness
Innovation and process improvements
Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.
This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field
8+ years of experience in infrastructure engineering roles
Experience with high-performance computing environments
Proven experience supporting GPU-accelerated computing environments
Strong understanding of storage systems and networking
Experience with infrastructure monitoring and optimization tools
Demonstrated ability to work with scientific computing workflows
Experience managing vendor relationships and contracts
Knowledge of IT security and compliance requirements
Experience with disaster recovery planning and testing
Understanding of IT financial planning and budgeting
Experience with audit responses and compliance documentation
Strong experience with Linux administration and engineering
Extensive knowledge of virtualization technologies, particularly VSphere
Preferred Education, Experience and Skills
Experience with WEKA storage systems
Knowledge of AI/ML infrastructure requirements
Experience supporting bioinformatics workflows
Familiarity with container technologies (Docker, Kubernetes)
Experience with infrastructure automation tools
Understanding of scientific computing software and frameworks
Previous experience in biotech or pharmaceutical industries
Experience with cloud platforms (AWS, Azure)
ITIL certification
Security certifications (CISSP, CISM, or similar)
Experience with GxP compliance
Experience with pharmaceutical industry regulations
Previous experience managing technical debt in regulated environments
We’re looking for a Data Engineer to work across the Involved Group, the collective behind globally renowned dance and electronic music labels including Anjunabeats and Anjunadeep, spanning label services and distribution, music publishing, events promotion and artist management.
This is a key role within our Technology Department, responsible for developing and managing data pipelines, automating data collection processes, and creating analytics dashboards to provide actionable insights across the company, directly impacting strategy.
This role involves working closely with a variety of departments to understand their data needs, developing solutions that streamline data analysis and reporting processes. Reporting to the Head of Technology, our Data Engineer ensures that data analytics initiatives are strategically aligned, efficiently executed, and contribute to the company's overall objectives.
Location: Bermondsey, London
Working pattern: Part-time (3 days/week) – either in-person at our lively Bermondsey office, hybrid, or home-working.
____________________________
Who we are:
Based in Bermondsey, the Involved group of companies includes:
Involved Productions, home of globally renowned independent dance and electronic music labels Anjunabeats, Anjunadeep and Anjunachill, as well as our label and distribution services.
Involved Live, the touring and events company responsible for a portfolio of international events, festivals, and all-night-long showcases, creating unforgettable experiences for fans globally.
Involved Publishing, a progressive independent music publisher, representing cutting-edge producers, writers and artists from around the world.
Involved Management is a boutique artist management company that is responsible for steering the careers of Above & Beyond, Lane 8, Le Youth and Dusky.
We offer careers, not just jobs, and our team embrace the entrepreneurial spirit, independent mindset and respectful culture we have created, building community and connection through music.
____________________________
Our Data Engineer is responsible for:
Analytics Dashboard Creation: Developing and optimising Tableau dashboards that provide clear, actionable insights to various teams, including Streaming & Promotions, Label Directors, and Publishing.
Data Pipeline Development: Designing, building, and maintaining efficient and scalable data pipelines to automate the collection, transformation, and delivery of data to and from various sources, including DSPs, FUGA Analytics, Google Analytics, Chartmetric, Curve, etc.
Database Management: Developing and maintaining the company’s database structure, ensuring data accuracy, security, and accessibility for analytics purposes.
Teaching: Providing support and training to ensure teams are making effective use of analytics tools and dashboards.
Tailoring : Collaborating with different departments to understand their data needs, and working creatively to provide tailored analytics solutions.
Building: Supporting the Head of Technology in building and maintaining cross-platform automations.
Innovation and Research: Staying up to date with the latest trends and technologies in data engineering and analytics, exploring new tools and methodologies that can enhance our data capabilities.
This list is not exhaustive – we may ask you to go beyond your job description on occasion, and we hope the role will change and develop with you.
____________________________
About you:
The ideal candidate for this role will likely have:
a solid foundation in Python and JavaScript, ideally with proficiency in other programming languages.
experience designing and implementing ETL pipelines, specifically using Apache Airflow (Astronomer).
hands-on experience with ETL frameworks, particularly dbt (data build tool).
SQL and various database management system skills.
a good understanding of different database types, designs, and data modelling systems.
experience with cloud platforms like AWS and GCP, including services such as BigQuery, RDS, and Athena.
familiarity with Tableau and project management tools like monday.com and Notion.
knowledge of APIs from music Digital Service Providers (e.g., Spotify, Apple Music).
previous experience at a record label, music distributor, or music publisher.
an understanding of the music industry
excellent analytical, problem-solving, and communication skills.
a proactive approach to learning, excitement about problem-solving, approaching new projects with an open mind.
strong accuracy and attention to detail.
good written and verbal communication skills, the ability to explain complex ideas using non-technical language.
the ability to prioritise and manage their time independently.
____________________________
What we offer:
A competitive salary (£50-60k pro rata)
Participation in our Profit Share Scheme
20 days annual leave
A benefits package to support your wellbeing, including access to local gyms and fitness classes, and subscription to health apps including Calm, Headspace and Strava
A collection of enhanced family policies to support your family life
The opportunity to attend a variety of live events
Cycle to work scheme
Season ticket loans
A lively, collaborative office environment, and a flexible hybrid working policy
Paid time off to volunteer with our local charitable initiatives
Applications
Closing date for applications is 21 November 2025, although we may close applications earlier.
If you need more information before applying, email us at people@anjunabeats.com.
We are committed to inclusion, and encourage applications from anyone with relevant experience and skills. If you require any adjustments throughout the application process to meet your needs and help you perform at your best, please let us know.
28/10/2025
Part time
We’re looking for a Data Engineer to work across the Involved Group, the collective behind globally renowned dance and electronic music labels including Anjunabeats and Anjunadeep, spanning label services and distribution, music publishing, events promotion and artist management.
This is a key role within our Technology Department, responsible for developing and managing data pipelines, automating data collection processes, and creating analytics dashboards to provide actionable insights across the company, directly impacting strategy.
This role involves working closely with a variety of departments to understand their data needs, developing solutions that streamline data analysis and reporting processes. Reporting to the Head of Technology, our Data Engineer ensures that data analytics initiatives are strategically aligned, efficiently executed, and contribute to the company's overall objectives.
Location: Bermondsey, London
Working pattern: Part-time (3 days/week) – either in-person at our lively Bermondsey office, hybrid, or home-working.
____________________________
Who we are:
Based in Bermondsey, the Involved group of companies includes:
Involved Productions, home of globally renowned independent dance and electronic music labels Anjunabeats, Anjunadeep and Anjunachill, as well as our label and distribution services.
Involved Live, the touring and events company responsible for a portfolio of international events, festivals, and all-night-long showcases, creating unforgettable experiences for fans globally.
Involved Publishing, a progressive independent music publisher, representing cutting-edge producers, writers and artists from around the world.
Involved Management is a boutique artist management company that is responsible for steering the careers of Above & Beyond, Lane 8, Le Youth and Dusky.
We offer careers, not just jobs, and our team embrace the entrepreneurial spirit, independent mindset and respectful culture we have created, building community and connection through music.
____________________________
Our Data Engineer is responsible for:
Analytics Dashboard Creation: Developing and optimising Tableau dashboards that provide clear, actionable insights to various teams, including Streaming & Promotions, Label Directors, and Publishing.
Data Pipeline Development: Designing, building, and maintaining efficient and scalable data pipelines to automate the collection, transformation, and delivery of data to and from various sources, including DSPs, FUGA Analytics, Google Analytics, Chartmetric, Curve, etc.
Database Management: Developing and maintaining the company’s database structure, ensuring data accuracy, security, and accessibility for analytics purposes.
Teaching: Providing support and training to ensure teams are making effective use of analytics tools and dashboards.
Tailoring : Collaborating with different departments to understand their data needs, and working creatively to provide tailored analytics solutions.
Building: Supporting the Head of Technology in building and maintaining cross-platform automations.
Innovation and Research: Staying up to date with the latest trends and technologies in data engineering and analytics, exploring new tools and methodologies that can enhance our data capabilities.
This list is not exhaustive – we may ask you to go beyond your job description on occasion, and we hope the role will change and develop with you.
____________________________
About you:
The ideal candidate for this role will likely have:
a solid foundation in Python and JavaScript, ideally with proficiency in other programming languages.
experience designing and implementing ETL pipelines, specifically using Apache Airflow (Astronomer).
hands-on experience with ETL frameworks, particularly dbt (data build tool).
SQL and various database management system skills.
a good understanding of different database types, designs, and data modelling systems.
experience with cloud platforms like AWS and GCP, including services such as BigQuery, RDS, and Athena.
familiarity with Tableau and project management tools like monday.com and Notion.
knowledge of APIs from music Digital Service Providers (e.g., Spotify, Apple Music).
previous experience at a record label, music distributor, or music publisher.
an understanding of the music industry
excellent analytical, problem-solving, and communication skills.
a proactive approach to learning, excitement about problem-solving, approaching new projects with an open mind.
strong accuracy and attention to detail.
good written and verbal communication skills, the ability to explain complex ideas using non-technical language.
the ability to prioritise and manage their time independently.
____________________________
What we offer:
A competitive salary (£50-60k pro rata)
Participation in our Profit Share Scheme
20 days annual leave
A benefits package to support your wellbeing, including access to local gyms and fitness classes, and subscription to health apps including Calm, Headspace and Strava
A collection of enhanced family policies to support your family life
The opportunity to attend a variety of live events
Cycle to work scheme
Season ticket loans
A lively, collaborative office environment, and a flexible hybrid working policy
Paid time off to volunteer with our local charitable initiatives
Applications
Closing date for applications is 21 November 2025, although we may close applications earlier.
If you need more information before applying, email us at people@anjunabeats.com.
We are committed to inclusion, and encourage applications from anyone with relevant experience and skills. If you require any adjustments throughout the application process to meet your needs and help you perform at your best, please let us know.
Football Radar
For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves as a unique blend of start-up dynamism and established business security, combining the flexibility of the former with the stability of the latter.
About the Role
At Football Radar, we analyse and predict football matches. In the role of a Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure.
This role is based at our London office, at 1 Craven Hill, London, W2 3EN. You will have flexibility to work from home one day a week. Please note we are not considering remote candidates at the moment.
Role Requirements
We are looking for engineers with at least 2 years of experience in Scala. Given that the majority of our backend codebase is written in Scala, the ideal candidate will play a pivotal role in shaping the future of our backend infrastructure.
We are first and foremost a football company, and to have a big impact here, it will help if you have domain expertise – you will probably be a big football fan, and ideally someone who is comfortable with the mathematical and statistical approaches we are applying to the game. If you have any experience with sports betting or football analytics that is a bonus.
We’d love to hear from you if this sounds like you:
Well-versed in working with distributed systems in the cloud (our software runs in AWS, deployed via Docker and Kubernetes)
Willing to work across our tech stack: Scala, Python, C++, Typescript and PHP.
Experience with relational and document based databases.
Familiar with different testing methodologies.
Enjoys technical leadership and guiding product development, shaping the vision and implementation of backend platforms effectively.
Thrives on responsibility and ownership.
Pragmatic mindset.
Excellent communication, time management and organisational skills.
Benefits
We have a range of benefits available at Football Radar and continue to review these to ensure our colleagues are gaining everything they can from them.
Half yearly bonus opportunities based on company performance
33 days holiday (Including bank holidays)
Competitive contribution matched pensions
Health and well-being benefits:
Private Medical Insurance (including excess coverage)
Health Cash Plan via Bupa
Subsidised gym membership
Daily subsidised office meals
Learning and development budgets to invest in your personal growth Company and team led engagement activities throughout the year
Fortnightly five-a-side football game amongst colleagues
27/03/2025
Full time
Football Radar
For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves as a unique blend of start-up dynamism and established business security, combining the flexibility of the former with the stability of the latter.
About the Role
At Football Radar, we analyse and predict football matches. In the role of a Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure.
This role is based at our London office, at 1 Craven Hill, London, W2 3EN. You will have flexibility to work from home one day a week. Please note we are not considering remote candidates at the moment.
Role Requirements
We are looking for engineers with at least 2 years of experience in Scala. Given that the majority of our backend codebase is written in Scala, the ideal candidate will play a pivotal role in shaping the future of our backend infrastructure.
We are first and foremost a football company, and to have a big impact here, it will help if you have domain expertise – you will probably be a big football fan, and ideally someone who is comfortable with the mathematical and statistical approaches we are applying to the game. If you have any experience with sports betting or football analytics that is a bonus.
We’d love to hear from you if this sounds like you:
Well-versed in working with distributed systems in the cloud (our software runs in AWS, deployed via Docker and Kubernetes)
Willing to work across our tech stack: Scala, Python, C++, Typescript and PHP.
Experience with relational and document based databases.
Familiar with different testing methodologies.
Enjoys technical leadership and guiding product development, shaping the vision and implementation of backend platforms effectively.
Thrives on responsibility and ownership.
Pragmatic mindset.
Excellent communication, time management and organisational skills.
Benefits
We have a range of benefits available at Football Radar and continue to review these to ensure our colleagues are gaining everything they can from them.
Half yearly bonus opportunities based on company performance
33 days holiday (Including bank holidays)
Competitive contribution matched pensions
Health and well-being benefits:
Private Medical Insurance (including excess coverage)
Health Cash Plan via Bupa
Subsidised gym membership
Daily subsidised office meals
Learning and development budgets to invest in your personal growth Company and team led engagement activities throughout the year
Fortnightly five-a-side football game amongst colleagues
Why work with Inuvi
At Inuvi, our mission is to foster a work environment where innovation, collaboration, and personal growth are at the forefront. We believe in the power of diverse perspectives and strive to create a culture where every team member feels valued and empowered to contribute their unique ideas. Working with us means being part of a dynamic team that is passionate about making a positive impact on our customers and the industry.
Introducing Inuvi’s IT team
At Inuvi, our IT team is dedicated to ensuring the seamless operation and continuous improvement of our systems. The team is responsible for the support, deployment, automation, and maintenance of our infrastructure, ensuring its availability, performance, scalability, and security. Our IT professionals bring a wealth of experience from various backgrounds and work collaboratively with other departments to tackle complex challenges. With a strong focus on innovation and efficiency, the IT team plays a crucial role in driving Inuvi's success and delivering exceptional value to our customers.
What we are looking for
We are looking for an IT Infrastructure Analyst to be responsible for the support, deployment, automation and maintenance of our systems whilst ensuring their availability, performance scalability and security. You must have proven “hands on” experience in a similar role with a good understanding of IT Infrastructure both on premise and in the cloud; which includes a good understanding of DevOps engineering practices. As a small team our roles are broad which will enable your involvement in a range of technologies and projects and foster opportunities for your personal growth.
You must be able to demonstrate real world experience of IT infrastructure both on-premise and in the AWS cloud which includes:
Good working knowledge of on-premises server infrastructure including Hyper-V servers, storage arrays, switches and firewalls.
An excellent understanding of AWS, and a wealth of practical hands-on real-world experience using the core services (EC2, CloudWatch, IAM, RDS, S3 etc at a minimum)
An excellent understanding of networking principles and technologies (subnets, VLANs and routing)
A good understanding of development pipelines and the technologies used to implement them in AWS and/or Azure
Experience using Docker containers
Good working knowledge of Linux and Windows server administration and support
Experience with JIRA, Bitbucket/Git
Proficiency at scripting (especially PowerShell)
A good understanding of database technologies (MySQL in particular) and experience administering them
Strong interpersonal and communication skills with an ability to produce documentation to a high standard
Ability to troubleshoot in a logical manner with a pro-active approach, spot potential problems, escalate and react when necessary
Ability to deal competently with pressure and be able to prioritise workload
Effective collaboration with other members of the IT team and wider business
In return, we will ensure you have:
Very competitive salary with annual salary reviews
25 days holiday a year (plus bank holidays) for some well-deserved time off
Opportunity to purchase an additional holiday each year
Pension contributions of 5%
Annual wellbeing health check
Health Shield cash plan
Death in service benefit
Cycle to work scheme
What happens next
After receiving your application, our team will review it and inform you of the next steps. If you are selected for the next stage, we will schedule an introductory Teams call to provide more information about our company, learn more about you, and understand your expectations. This will be an opportunity for you to ask any questions you may have. Please choose a time when you can be in a quiet place without distractions.
Depending on the outcome of the call, the following stage will involve a face-to-face interview at our Wokingham office, which will also include practical technical questions.
We understand the effort required to apply for a new job and value your time. We look forward to reviewing your application.
This is an office-based role in Wokingham, Berkshire (RG41) and therefore candidates need to be located within a commutable distance to the office. We will not consider candidates who need to relocate to be nearer the office.
14/02/2025
Full time
Why work with Inuvi
At Inuvi, our mission is to foster a work environment where innovation, collaboration, and personal growth are at the forefront. We believe in the power of diverse perspectives and strive to create a culture where every team member feels valued and empowered to contribute their unique ideas. Working with us means being part of a dynamic team that is passionate about making a positive impact on our customers and the industry.
Introducing Inuvi’s IT team
At Inuvi, our IT team is dedicated to ensuring the seamless operation and continuous improvement of our systems. The team is responsible for the support, deployment, automation, and maintenance of our infrastructure, ensuring its availability, performance, scalability, and security. Our IT professionals bring a wealth of experience from various backgrounds and work collaboratively with other departments to tackle complex challenges. With a strong focus on innovation and efficiency, the IT team plays a crucial role in driving Inuvi's success and delivering exceptional value to our customers.
What we are looking for
We are looking for an IT Infrastructure Analyst to be responsible for the support, deployment, automation and maintenance of our systems whilst ensuring their availability, performance scalability and security. You must have proven “hands on” experience in a similar role with a good understanding of IT Infrastructure both on premise and in the cloud; which includes a good understanding of DevOps engineering practices. As a small team our roles are broad which will enable your involvement in a range of technologies and projects and foster opportunities for your personal growth.
You must be able to demonstrate real world experience of IT infrastructure both on-premise and in the AWS cloud which includes:
Good working knowledge of on-premises server infrastructure including Hyper-V servers, storage arrays, switches and firewalls.
An excellent understanding of AWS, and a wealth of practical hands-on real-world experience using the core services (EC2, CloudWatch, IAM, RDS, S3 etc at a minimum)
An excellent understanding of networking principles and technologies (subnets, VLANs and routing)
A good understanding of development pipelines and the technologies used to implement them in AWS and/or Azure
Experience using Docker containers
Good working knowledge of Linux and Windows server administration and support
Experience with JIRA, Bitbucket/Git
Proficiency at scripting (especially PowerShell)
A good understanding of database technologies (MySQL in particular) and experience administering them
Strong interpersonal and communication skills with an ability to produce documentation to a high standard
Ability to troubleshoot in a logical manner with a pro-active approach, spot potential problems, escalate and react when necessary
Ability to deal competently with pressure and be able to prioritise workload
Effective collaboration with other members of the IT team and wider business
In return, we will ensure you have:
Very competitive salary with annual salary reviews
25 days holiday a year (plus bank holidays) for some well-deserved time off
Opportunity to purchase an additional holiday each year
Pension contributions of 5%
Annual wellbeing health check
Health Shield cash plan
Death in service benefit
Cycle to work scheme
What happens next
After receiving your application, our team will review it and inform you of the next steps. If you are selected for the next stage, we will schedule an introductory Teams call to provide more information about our company, learn more about you, and understand your expectations. This will be an opportunity for you to ask any questions you may have. Please choose a time when you can be in a quiet place without distractions.
Depending on the outcome of the call, the following stage will involve a face-to-face interview at our Wokingham office, which will also include practical technical questions.
We understand the effort required to apply for a new job and value your time. We look forward to reviewing your application.
This is an office-based role in Wokingham, Berkshire (RG41) and therefore candidates need to be located within a commutable distance to the office. We will not consider candidates who need to relocate to be nearer the office.
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.
03/03/2026
Full time
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.
03/03/2026
Full time
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.
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
03/03/2026
Full time
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
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.
03/03/2026
Full time
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.
03/03/2026
Full time
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.
03/03/2026
Full time
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.
Site Reliability Engineer Bristol, Hybrid (3 days onsite, 2 from home) Up to £95K & Great Benefits Ready to take on high-impact engineering challenges that actually matter? Want to work on mission-critical systems used across the UK's most high-profile government organisations? This is your chance to join TwinStream -a team of elite engineers who built their careers cracking complex cross-domain problems, and then built a company to do it even better. We're growing fast. Demand for our services is skyrocketing. And now we're looking for a Site Reliability Engineer who's ready to step into a role with real ownership, real influence, and real opportunities to innovate. Why You'll Love This Role As our new SRE, you'll be right at the heart of our evolving cloud and on-prem platforms. This isn't a "keep the lights on" job-it's a role where you'll shape infrastructure strategy, partner closely with software and systems teams, and push performance, reliability, and automation to the next level. You'll help us evolve observability, enhance delivery pipelines, eliminate toil, drive reliability metrics, and make smart technical decisions that keep our systems robust as we scale. If you love solving gnarly problems, improving how things work, and innovating at speed-this is the role for you. Key Responsibilities of the Site Reliability Engineer: Collaborating with Software Engineers to improve subsystem reliability and performance Partnering with System Administrators to automate toil and cut down alert noise Taking observability to the next level-find issues before they hit the business Supporting development environments to boost speed and quality Researching & evaluating tools to guide key buy-vs-build decisions Deepening your expertise across multiple technical and business domains Expanding your knowledge of diverse tech stacks and platforms What You Bring Modern configuration management tools (Ansible, Chef or similar) Terraform Docker containers & orchestration (Kubernetes, OpenShift, Docker Swarm) CI/CD tooling (Jenkins or similar) Monitoring/metrics stack (InfluxDB, Prometheus, Grafana) MQ messaging (RabbitMQ or other AMQP solutions) SQL & relational databases Linux administration & shell scripting Network security fundamentals Cloud hosting (ideally AWS: EC2, RDS, S3, Lambda) Bonus points for: Experience with Java, Go, Python or similar Knowledge of cross-domain principles & tech Service management experience Hands-on observability implementation Proven ability to reduce downtime with smart reliability metrics Why You'll Love Working at TwinStream Competitive salary, £65k - £95k DOE 8% employer pension contribution Private medical healthcare (including dental & optical for the whole family) Flexible working culture Learning & development owned by YOU Electric vehicle salary-sacrifice scheme 28 days holiday + bank holidays Regular team events, plus Christmas & summer parties Life assurance & cycle-to-work scheme Security Clearance You'll need to be eligible for SC and/or DV clearance. Any offer will be subject to successful security screening. Ready to engineer impact? Apply now and shape the future of secure, high-performance cross-domain systems.
03/03/2026
Full time
Site Reliability Engineer Bristol, Hybrid (3 days onsite, 2 from home) Up to £95K & Great Benefits Ready to take on high-impact engineering challenges that actually matter? Want to work on mission-critical systems used across the UK's most high-profile government organisations? This is your chance to join TwinStream -a team of elite engineers who built their careers cracking complex cross-domain problems, and then built a company to do it even better. We're growing fast. Demand for our services is skyrocketing. And now we're looking for a Site Reliability Engineer who's ready to step into a role with real ownership, real influence, and real opportunities to innovate. Why You'll Love This Role As our new SRE, you'll be right at the heart of our evolving cloud and on-prem platforms. This isn't a "keep the lights on" job-it's a role where you'll shape infrastructure strategy, partner closely with software and systems teams, and push performance, reliability, and automation to the next level. You'll help us evolve observability, enhance delivery pipelines, eliminate toil, drive reliability metrics, and make smart technical decisions that keep our systems robust as we scale. If you love solving gnarly problems, improving how things work, and innovating at speed-this is the role for you. Key Responsibilities of the Site Reliability Engineer: Collaborating with Software Engineers to improve subsystem reliability and performance Partnering with System Administrators to automate toil and cut down alert noise Taking observability to the next level-find issues before they hit the business Supporting development environments to boost speed and quality Researching & evaluating tools to guide key buy-vs-build decisions Deepening your expertise across multiple technical and business domains Expanding your knowledge of diverse tech stacks and platforms What You Bring Modern configuration management tools (Ansible, Chef or similar) Terraform Docker containers & orchestration (Kubernetes, OpenShift, Docker Swarm) CI/CD tooling (Jenkins or similar) Monitoring/metrics stack (InfluxDB, Prometheus, Grafana) MQ messaging (RabbitMQ or other AMQP solutions) SQL & relational databases Linux administration & shell scripting Network security fundamentals Cloud hosting (ideally AWS: EC2, RDS, S3, Lambda) Bonus points for: Experience with Java, Go, Python or similar Knowledge of cross-domain principles & tech Service management experience Hands-on observability implementation Proven ability to reduce downtime with smart reliability metrics Why You'll Love Working at TwinStream Competitive salary, £65k - £95k DOE 8% employer pension contribution Private medical healthcare (including dental & optical for the whole family) Flexible working culture Learning & development owned by YOU Electric vehicle salary-sacrifice scheme 28 days holiday + bank holidays Regular team events, plus Christmas & summer parties Life assurance & cycle-to-work scheme Security Clearance You'll need to be eligible for SC and/or DV clearance. Any offer will be subject to successful security screening. Ready to engineer impact? Apply now and shape the future of secure, high-performance cross-domain systems.
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.
03/03/2026
Full time
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.
Up to £35,000 plus excellent bonus and benefits Hybrid working available (after probation) A fantastic opportunity has arisen for a Computer Science graduate to join a fast-growing FinTech company transforming the payments space! Due to exciting business growth, we are looking for a proactive individual with strong technical fundamentals to help our clients integrate and maintain our SaaS payment solutions. Candidates will ideally have API knowledge and experience in provisioning and onboarding payment products . This is an ideal first or second career step into the intersection of software development and financial technology. Key Responsibilities of the Computer Science Graduate to include: Provisioning & Onboarding: Own the end-to-end setup of customer environments, including merchant IDs, payment products, and mapping requirements. API Support: Assist clients with REST/SOAP API integrations, authentication (OAuth), and troubleshooting using Postman and sandbox environments. Technical Troubleshooting: Diagnose and resolve application issues using log analysis tools (e.g., Splunk) and API forensic data. Customer Interaction: Provide clear, professional guidance to technical and non-technical stakeholders. Ticket Management: Log, track, and resolve support cases within SLA timelines using JIRA or similar platforms. Collaboration: Work closely with engineering and product teams to escalate and resolve complex issues. Documentation: Maintain accurate onboarding records and contribute to the internal knowledge base. Requirements for the successful Computer Science Graduate : A degree in Computer Science, Software Engineering, or a related technical discipline. Minimum 1 year in technical or application support, ideally in SaaS, fintech, or payments (this can include high-quality internships or placement years). Experience with provisioning systems and onboarding technical/payment products. Familiarity with cloud platforms (AWS, Azure, or GCP) and API security best practices (OAuth, SSL/TLS). Hands-on experience with Postman, Splunk, and ticketing systems. Understanding of REST/SOAP APIs, JSON/XML, and troubleshooting techniques. Strong communication and organisational skills. Knowledge of payment systems or card processing is a plus. What's on offer for you: Flexible hybrid working (after probation). Private medical care. Structured onboarding and training program. Clear career progression opportunities into senior technical or management roles. Opportunities for growth in a supportive, fast-growing company. This vacancy is being advertised by Montpellier Resourcing Associates Limited. The services advertised by Montpellier Associates Resourcing Limited are those of an Employment Agency
03/03/2026
Full time
Up to £35,000 plus excellent bonus and benefits Hybrid working available (after probation) A fantastic opportunity has arisen for a Computer Science graduate to join a fast-growing FinTech company transforming the payments space! Due to exciting business growth, we are looking for a proactive individual with strong technical fundamentals to help our clients integrate and maintain our SaaS payment solutions. Candidates will ideally have API knowledge and experience in provisioning and onboarding payment products . This is an ideal first or second career step into the intersection of software development and financial technology. Key Responsibilities of the Computer Science Graduate to include: Provisioning & Onboarding: Own the end-to-end setup of customer environments, including merchant IDs, payment products, and mapping requirements. API Support: Assist clients with REST/SOAP API integrations, authentication (OAuth), and troubleshooting using Postman and sandbox environments. Technical Troubleshooting: Diagnose and resolve application issues using log analysis tools (e.g., Splunk) and API forensic data. Customer Interaction: Provide clear, professional guidance to technical and non-technical stakeholders. Ticket Management: Log, track, and resolve support cases within SLA timelines using JIRA or similar platforms. Collaboration: Work closely with engineering and product teams to escalate and resolve complex issues. Documentation: Maintain accurate onboarding records and contribute to the internal knowledge base. Requirements for the successful Computer Science Graduate : A degree in Computer Science, Software Engineering, or a related technical discipline. Minimum 1 year in technical or application support, ideally in SaaS, fintech, or payments (this can include high-quality internships or placement years). Experience with provisioning systems and onboarding technical/payment products. Familiarity with cloud platforms (AWS, Azure, or GCP) and API security best practices (OAuth, SSL/TLS). Hands-on experience with Postman, Splunk, and ticketing systems. Understanding of REST/SOAP APIs, JSON/XML, and troubleshooting techniques. Strong communication and organisational skills. Knowledge of payment systems or card processing is a plus. What's on offer for you: Flexible hybrid working (after probation). Private medical care. Structured onboarding and training program. Clear career progression opportunities into senior technical or management roles. Opportunities for growth in a supportive, fast-growing company. This vacancy is being advertised by Montpellier Resourcing Associates Limited. The services advertised by Montpellier Associates Resourcing Limited are those of an Employment Agency
Windows Site Reliability Engineer £110K Hybrid London Overview: A leading global investment bank is seeking a skilled Windows Site Reliability Engineer to join their London-based Technology team. This is a senior-level leadership role focused on driving platform reliability, automation strategy, and infrastructure modernisation across mission-critical banking systems. This is an excellent opportunity to join an investment banking powerhouse. Role and Responsibilities: Lead Platform Engineering and SRE strategy across the organisation Build scalable, self-service, and resilient infrastructure platforms Drive Infrastructure as Code and CI/CD adoption, automating manual tasks Define SLOs and optimise system performance, latency, and scalability Lead root cause analysis and remediate technical debt Partner with development teams to improve testing, releases, and deployments Shape cloud and hybrid migration strategies Ensure regulatory, audit, and security compliance Act as senior escalation point for high-severity incidents Identify cost and efficiency improvements; deputise for senior leadership Skills and Experience: Deep expertise in Microsoft Windows Server internals Advanced knowledge of Active Directory, DNS, DHCP, LDAP, and Kerberos Extensive experience tuning low-latency, enterprise-scale systems Strong background in SRE, DevOps, CI/CD, and Infrastructure as Code principles Advanced scripting and development capability (PowerShell, Python, C#) Clustering, high-availability, replication, and disaster recovery expertise Experience with Git, Terraform, Ansible, Jenkins, and TeamCity Strong understanding of security hardening (CIS) within regulated environments Deep knowledge of performance monitoring, system internals, and optimisation techniques Experience working within financial services or other regulated industries Desirable: Kubernetes and Docker orchestration Major cloud platforms (Azure, AWS, GCP) Nutanix HCI and VMware ESX Enterprise databases (SQL Server, Oracle, Sybase ASE, MongoDB, Snowflake) Enterprise monitoring tools (Splunk, Netcool) Package Circa £110,000 + Excellent Package London / Hybrid x3 days onsite Flexible working considered Windows Site Reliability Engineer £110K Hybrid London
03/03/2026
Full time
Windows Site Reliability Engineer £110K Hybrid London Overview: A leading global investment bank is seeking a skilled Windows Site Reliability Engineer to join their London-based Technology team. This is a senior-level leadership role focused on driving platform reliability, automation strategy, and infrastructure modernisation across mission-critical banking systems. This is an excellent opportunity to join an investment banking powerhouse. Role and Responsibilities: Lead Platform Engineering and SRE strategy across the organisation Build scalable, self-service, and resilient infrastructure platforms Drive Infrastructure as Code and CI/CD adoption, automating manual tasks Define SLOs and optimise system performance, latency, and scalability Lead root cause analysis and remediate technical debt Partner with development teams to improve testing, releases, and deployments Shape cloud and hybrid migration strategies Ensure regulatory, audit, and security compliance Act as senior escalation point for high-severity incidents Identify cost and efficiency improvements; deputise for senior leadership Skills and Experience: Deep expertise in Microsoft Windows Server internals Advanced knowledge of Active Directory, DNS, DHCP, LDAP, and Kerberos Extensive experience tuning low-latency, enterprise-scale systems Strong background in SRE, DevOps, CI/CD, and Infrastructure as Code principles Advanced scripting and development capability (PowerShell, Python, C#) Clustering, high-availability, replication, and disaster recovery expertise Experience with Git, Terraform, Ansible, Jenkins, and TeamCity Strong understanding of security hardening (CIS) within regulated environments Deep knowledge of performance monitoring, system internals, and optimisation techniques Experience working within financial services or other regulated industries Desirable: Kubernetes and Docker orchestration Major cloud platforms (Azure, AWS, GCP) Nutanix HCI and VMware ESX Enterprise databases (SQL Server, Oracle, Sybase ASE, MongoDB, Snowflake) Enterprise monitoring tools (Splunk, Netcool) Package Circa £110,000 + Excellent Package London / Hybrid x3 days onsite Flexible working considered Windows Site Reliability Engineer £110K Hybrid London
Job Title: Enterprise Data Architect Location: Remote (UK-based) with occasional travel to London Basic Salary: Up to £140,000 Summary: We are partnering with a leading global consultancy who are looking to hire an experienced Enterprise Data Architect to drive data strategy and architecture across complex client environments. This is a senior, hands-on role focused on designing enterprise-scale data platforms in multi-cloud environments (AWS, Azure, GCP), supporting large transformation programmes across multiple industries. Responsibilities: Lead enterprise data architecture design across AWS, Azure, and GCP environments. Define target and transition architectures, standards, and reference models. Own data governance, metadata management, lineage, and master data strategies. Design data platforms including data lakes, lakehouse, and streaming architectures. Collaborate with engineering, security, and platform teams to ensure architectural alignment. Skills: Proven delivery of enterprise-scale, multi-cloud data platforms. Strong expertise across AWS, Azure, and GCP data services. Deep knowledge of data modelling (conceptual, logical, physical) and domain-driven design. Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse or similar platforms. Strong understanding of data governance, security, GDPR, and regulatory frameworks. Certifications - TOGAF / SAFe / Agile Why Join: Fully remote role with flexible working and occasional London travel. Work on high-impact enterprise transformation programmes. Exposure to cutting-edge cloud, data, and AI technologies. Clear career progression within a leading consultancy.
03/03/2026
Full time
Job Title: Enterprise Data Architect Location: Remote (UK-based) with occasional travel to London Basic Salary: Up to £140,000 Summary: We are partnering with a leading global consultancy who are looking to hire an experienced Enterprise Data Architect to drive data strategy and architecture across complex client environments. This is a senior, hands-on role focused on designing enterprise-scale data platforms in multi-cloud environments (AWS, Azure, GCP), supporting large transformation programmes across multiple industries. Responsibilities: Lead enterprise data architecture design across AWS, Azure, and GCP environments. Define target and transition architectures, standards, and reference models. Own data governance, metadata management, lineage, and master data strategies. Design data platforms including data lakes, lakehouse, and streaming architectures. Collaborate with engineering, security, and platform teams to ensure architectural alignment. Skills: Proven delivery of enterprise-scale, multi-cloud data platforms. Strong expertise across AWS, Azure, and GCP data services. Deep knowledge of data modelling (conceptual, logical, physical) and domain-driven design. Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse or similar platforms. Strong understanding of data governance, security, GDPR, and regulatory frameworks. Certifications - TOGAF / SAFe / Agile Why Join: Fully remote role with flexible working and occasional London travel. Work on high-impact enterprise transformation programmes. Exposure to cutting-edge cloud, data, and AI technologies. Clear career progression within a leading consultancy.
Cloud Engineering ManagerEpsom, Surrey Financial Services Hybrid Working £70k - £80k + Benefits I am recruiting for a Cloud Engineering Manager on behalf of my financial services client based in Epsom, Surrey. As a Cloud Engineering Manager you will work in team 5 and will have x3 direct reports.As a Cloud Engineering Manager you will be an experienced hands on engineer with strong Azure design skills, along with AZ-104, AZ-305 certifications. Cloud Engineering Manager Responsibilities: Deployment and configuration of cloud services Ongoing configuration and maintenance of Azure cloud services Produce configuration design documentation (LLD) for proposed solutions Azure tenancy administration Implementation of cloud security infrastructure and defined security policy Migration of legacy systems to Azure cloud platform SQL Database Infrastructure administration on-prem and cloud deployments Azure capacity planning and Disaster Recovery Storage lifecycle management including blob, files SharePoint and OneDrive Backup strategy alignment, monitoring, escalation, resolution and MI In conjunction with the Service Desk, ensure CMDB artifacts are maintained and accurate and all resources are included. Providing support to the Service Desk for Infrastructure incidents and escalations Support Solution Architecture Team Develop and maintain operating and costing MI for management Deployment and maintenance of infrastructure monitoring tools into security and operational monitoring platforms Maintain Infrastructure diagrams In conjunction with the change manager ensure changes and maintenance windows are effectively enacted Maintain transitional legacy physical and virtual infrastructure assets (Server & Networking) Team management via work allocation, regular meetings, conduct performance reviews measuring performance against agreed objectives and mentoring team members. Establish & maintain policy and procedural documentation Cloud Engineering Manager Key Skills & Experience: Previous experience working in a regulated environment Excellent communication skills Pro-active, detail focused, can-do attitude Excellent problem-solving skills Low level Azure cloud design & solutioning People management and development Cloud networking and desire to develop skill set Cloud monitoring tools Platform security, DLP & MFA Good hands-on experience of Microsoft technology and terminology Working knowledge of AWS VDI platforms (e.g. Azure Virtual Desktop, VMware ESX and Horizon VDI Platforms) Veeam Experience (Backup & Replication, Back up for Azure, Backup for Microsoft 365 & Data Cloud Vault) Azure Administration experience & certifications Azure ASR and Disaster recovery testing Azure Networking & Firewalls. Microsoft 365 Enterprise including Exchange Online and SharePoint Online Windows Server deployment and maintenance (Windows Server Administration certification) Cloud Engineering Manager Desirable Skills: Infrastructure-as-code technologies (Terraform, Arm, Azure DevOps) Cloud security infrastructure and defined policy SQL Server Administration Pluralsight skills/sandbox environment Services advertised by Gold Group are those of an Agency and/or an Employment Business.We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
03/03/2026
Full time
Cloud Engineering ManagerEpsom, Surrey Financial Services Hybrid Working £70k - £80k + Benefits I am recruiting for a Cloud Engineering Manager on behalf of my financial services client based in Epsom, Surrey. As a Cloud Engineering Manager you will work in team 5 and will have x3 direct reports.As a Cloud Engineering Manager you will be an experienced hands on engineer with strong Azure design skills, along with AZ-104, AZ-305 certifications. Cloud Engineering Manager Responsibilities: Deployment and configuration of cloud services Ongoing configuration and maintenance of Azure cloud services Produce configuration design documentation (LLD) for proposed solutions Azure tenancy administration Implementation of cloud security infrastructure and defined security policy Migration of legacy systems to Azure cloud platform SQL Database Infrastructure administration on-prem and cloud deployments Azure capacity planning and Disaster Recovery Storage lifecycle management including blob, files SharePoint and OneDrive Backup strategy alignment, monitoring, escalation, resolution and MI In conjunction with the Service Desk, ensure CMDB artifacts are maintained and accurate and all resources are included. Providing support to the Service Desk for Infrastructure incidents and escalations Support Solution Architecture Team Develop and maintain operating and costing MI for management Deployment and maintenance of infrastructure monitoring tools into security and operational monitoring platforms Maintain Infrastructure diagrams In conjunction with the change manager ensure changes and maintenance windows are effectively enacted Maintain transitional legacy physical and virtual infrastructure assets (Server & Networking) Team management via work allocation, regular meetings, conduct performance reviews measuring performance against agreed objectives and mentoring team members. Establish & maintain policy and procedural documentation Cloud Engineering Manager Key Skills & Experience: Previous experience working in a regulated environment Excellent communication skills Pro-active, detail focused, can-do attitude Excellent problem-solving skills Low level Azure cloud design & solutioning People management and development Cloud networking and desire to develop skill set Cloud monitoring tools Platform security, DLP & MFA Good hands-on experience of Microsoft technology and terminology Working knowledge of AWS VDI platforms (e.g. Azure Virtual Desktop, VMware ESX and Horizon VDI Platforms) Veeam Experience (Backup & Replication, Back up for Azure, Backup for Microsoft 365 & Data Cloud Vault) Azure Administration experience & certifications Azure ASR and Disaster recovery testing Azure Networking & Firewalls. Microsoft 365 Enterprise including Exchange Online and SharePoint Online Windows Server deployment and maintenance (Windows Server Administration certification) Cloud Engineering Manager Desirable Skills: Infrastructure-as-code technologies (Terraform, Arm, Azure DevOps) Cloud security infrastructure and defined policy SQL Server Administration Pluralsight skills/sandbox environment Services advertised by Gold Group are those of an Agency and/or an Employment Business.We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit 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.
03/03/2026
Full time
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.
03/03/2026
Full time
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.
Job Title: DevOps Engineer Location: Remote, UK Salary: Circa £47,000 per annum, depending on skills and experience Job Type: Full Time, Permanent Working Hours: 37.5 hours per week to cover core business hours (9-5, Mon-Fri) Working for Affinity: We understand the importance of flexibility, wellness, performance and satisfaction - indeed it is part of our culture We offer opportunities to take unpaid leave and will give you one extra day's holiday for every year you've worked with us, for up to 8 years We know working from home introduces opportunities for you to do more domestic chores during the day, e.g. picking up the children from school, taking pets to the vet, etc. We don't mind this at all, as long as we are aware of what you are doing and the work gets done! About the Role: We are looking for someone who is passionate about technology and who is always looking for opportunities to improve the services we provide for clients, in areas such as efficiency, cost effectiveness, security and reliability. You'll be pivotal in knowledge sharing internally within the business, assisting others in their assigned projects and, where necessary, supporting more junior members of Affinity to help them learn and improve. The right DevOps engineer will have the opportunity to help grow and shape this emerging function within the team, creating a long-term career path for themselves within Affinity, with an opportunity to progress upwards. What will your typical day look like? You will be working on projects, such as the Cabinet Office WordPress support contract, to keep our clients' systems up-to-date, available, resilient, secure, performing well and cost effective. Working to improve the efficiency of our infrastructure related processes At times you'll need to work together with clients' own internal teams and with any external infrastructure teams that Affinity may partner with. Putting together infrastructure design documents at the start of projects, with a view to getting these signed off by the client and then acting as the basis for infrastructure build. Building infrastructure on new projects through the use of Terraform, AWS CloudFormation, etc. This will also include continuous integration processes, server provisioning, etc. Imparting knowledge and experience to other Affinity team members, both verbally and also captured in tools such as Jira Confluence, where we would like to build up a repository of DevOps how-tos, best practices, etc. Opportunity to work as a team lead where other Affinity team members are involved in DevOps. Providing AWS and Azure thought leadership and mentoring in both advisory and delivery contexts. Supporting out-of-hours rotas to provide support coverage for contracts in place with Affinity. About you: General requirements: Willingness to provide on-call rota coverage of emergency support (24/7/365) Ability to work flexible hours from time to time, for specific projects or tasks UK based and resident in UK for last 3 years (given some client-driven security clearance requirements) The role is fully remote, though visits to clients and to our office in Cornwall will occasionally be required Technical must-haves: Commercial experience of AWS, including services such as Amazon VPC, Amazon RDS, Amazon ElastiCache, Amazon EC2, Amazon ECS/EKS, Amazon EFS, AWS IAM, Amazon CloudFront, Amazon S3, AWS CodePipeline, Amazon GuardDuty, AWS Security Hub, AWS Cost Explorer, etc. Commercial experience of Azure, including services such as Azure Networking, Azure Cache (Redis and Memcached), App Services (running WordPress and .NET applications), Front Doors (CDN), API Services, storage services (blob storage, file storage, etc.), Azure Database services, Azure Cost Management, etc. Terraform and/or CloudFormation scripting Linux, Apache/Nginx Continuous integration/deployment (CI/CD) experience including GitHub Actions Familiarity with the AWS/Azure Well-Architected Framework and NCSC Cloud Security Principles Security experience, including the resolution of issues found during penetration testing Docker experience Technical nice-to-haves: System/server admin experience Drupal, WordPress or Magento experience PHP and Composer Microsoft technologies, including .NET, Windows Server, IIS, Active Directory, MSSQL, etc. AWS certifications (AWS Certified Solutions Architect - Professional, DevOps Engineer - Professional, speciality certifications, e.g., Database, Security, etc.) Microsoft certifications, including Azure Fundamentals, Azure Administrator Associate, Azure DevOps Engineer Expert, Azure Security Engineer Associate, etc. Load testing experience, including jMeter, Gatling, K6, etc. Other HashiCorp tools, e.g., Packer, Vault, Vagrant, Consul, etc. Provisioning tools, e.g., Puppet, Ansible, Chef, etc. AWS Control Tower and/or Landing Zone Experience with Google Cloud Platform Experience with Azure Resource Manager (ARM) Templates Please click the APPLY button to submit your CV for this role. Candidates with the experience or relevant job titles of; Software Developer, Software Engineer, Infrastructure Engineer, AWS, Infrastructure Engineer, AWS Systems Developer, Azure Software Development may also be considered for this role.
03/03/2026
Full time
Job Title: DevOps Engineer Location: Remote, UK Salary: Circa £47,000 per annum, depending on skills and experience Job Type: Full Time, Permanent Working Hours: 37.5 hours per week to cover core business hours (9-5, Mon-Fri) Working for Affinity: We understand the importance of flexibility, wellness, performance and satisfaction - indeed it is part of our culture We offer opportunities to take unpaid leave and will give you one extra day's holiday for every year you've worked with us, for up to 8 years We know working from home introduces opportunities for you to do more domestic chores during the day, e.g. picking up the children from school, taking pets to the vet, etc. We don't mind this at all, as long as we are aware of what you are doing and the work gets done! About the Role: We are looking for someone who is passionate about technology and who is always looking for opportunities to improve the services we provide for clients, in areas such as efficiency, cost effectiveness, security and reliability. You'll be pivotal in knowledge sharing internally within the business, assisting others in their assigned projects and, where necessary, supporting more junior members of Affinity to help them learn and improve. The right DevOps engineer will have the opportunity to help grow and shape this emerging function within the team, creating a long-term career path for themselves within Affinity, with an opportunity to progress upwards. What will your typical day look like? You will be working on projects, such as the Cabinet Office WordPress support contract, to keep our clients' systems up-to-date, available, resilient, secure, performing well and cost effective. Working to improve the efficiency of our infrastructure related processes At times you'll need to work together with clients' own internal teams and with any external infrastructure teams that Affinity may partner with. Putting together infrastructure design documents at the start of projects, with a view to getting these signed off by the client and then acting as the basis for infrastructure build. Building infrastructure on new projects through the use of Terraform, AWS CloudFormation, etc. This will also include continuous integration processes, server provisioning, etc. Imparting knowledge and experience to other Affinity team members, both verbally and also captured in tools such as Jira Confluence, where we would like to build up a repository of DevOps how-tos, best practices, etc. Opportunity to work as a team lead where other Affinity team members are involved in DevOps. Providing AWS and Azure thought leadership and mentoring in both advisory and delivery contexts. Supporting out-of-hours rotas to provide support coverage for contracts in place with Affinity. About you: General requirements: Willingness to provide on-call rota coverage of emergency support (24/7/365) Ability to work flexible hours from time to time, for specific projects or tasks UK based and resident in UK for last 3 years (given some client-driven security clearance requirements) The role is fully remote, though visits to clients and to our office in Cornwall will occasionally be required Technical must-haves: Commercial experience of AWS, including services such as Amazon VPC, Amazon RDS, Amazon ElastiCache, Amazon EC2, Amazon ECS/EKS, Amazon EFS, AWS IAM, Amazon CloudFront, Amazon S3, AWS CodePipeline, Amazon GuardDuty, AWS Security Hub, AWS Cost Explorer, etc. Commercial experience of Azure, including services such as Azure Networking, Azure Cache (Redis and Memcached), App Services (running WordPress and .NET applications), Front Doors (CDN), API Services, storage services (blob storage, file storage, etc.), Azure Database services, Azure Cost Management, etc. Terraform and/or CloudFormation scripting Linux, Apache/Nginx Continuous integration/deployment (CI/CD) experience including GitHub Actions Familiarity with the AWS/Azure Well-Architected Framework and NCSC Cloud Security Principles Security experience, including the resolution of issues found during penetration testing Docker experience Technical nice-to-haves: System/server admin experience Drupal, WordPress or Magento experience PHP and Composer Microsoft technologies, including .NET, Windows Server, IIS, Active Directory, MSSQL, etc. AWS certifications (AWS Certified Solutions Architect - Professional, DevOps Engineer - Professional, speciality certifications, e.g., Database, Security, etc.) Microsoft certifications, including Azure Fundamentals, Azure Administrator Associate, Azure DevOps Engineer Expert, Azure Security Engineer Associate, etc. Load testing experience, including jMeter, Gatling, K6, etc. Other HashiCorp tools, e.g., Packer, Vault, Vagrant, Consul, etc. Provisioning tools, e.g., Puppet, Ansible, Chef, etc. AWS Control Tower and/or Landing Zone Experience with Google Cloud Platform Experience with Azure Resource Manager (ARM) Templates Please click the APPLY button to submit your CV for this role. Candidates with the experience or relevant job titles of; Software Developer, Software Engineer, Infrastructure Engineer, AWS, Infrastructure Engineer, AWS Systems Developer, Azure Software Development may also be considered for this role.
Technical Team Lead IT Infrastructure (3rd Line & Infrastructure Projects) / Bedford / £37,000 to £45,000 per annum + Benefits Join one of the UK's fastest-growing Managed Service Providers and take your IT career to the next level! If you're a sharp-thinking problem solver who loves variety, teamwork, and delivering great work, this is the role for you. What You'll Be Doing: As the Technical Team Lead, you will hold a dual-focus position. You will act as the senior technical authority and project lead for our infrastructure environments while managing a small team of engineers. This is a hands-on role where you will design and implement a range of IT change projects for clients in your region. You and your team will develop and maintain relationships that our clients put trust in to deliver the solutions that their organisations need, while providing expertise-in-depth to the Service Team who escalate faults to you for resolution. Key Responsibilities of the Technical Team Lead IT Infrastructure Role: Team Leadership: Lead, mentor, and develop a small team of engineers. You will manage resource allocation, conduct 1-2-1s, and foster a culture of technical excellence. 3rd Line Escalation: Act as the final point of escalation for complex infrastructure issues involving Windows Server, Virtualisation, Networking, and Cloud Project Engineering: Lead the end-to-end delivery of infrastructure projects (e.g., server migrations, cloud transitions, security hardening, and site decommissions). Technical Account Management: Build strong relationships with internal or external clients ensuring their technical roadmap aligns with business goals and that infrastructure is "fit for purpose." Continuous Improvement: Identify bottlenecks in current systems and propose/implement automated or modernized solutions Experience & Qualifications: Minimum 3-5 years in a senior technical role, ideally within an MSP or a multi-site internal environment. Previous experience managing or leading a small technical team. Demonstrable experience delivering 3rd line IT projects on time and within budget. Must be able to commute to our Bedford office and travel to client sites as needed. Ideally holding recognisable vendor qualifications Infrastructure: Expert knowledge of Windows Server (2019 onward), Active Directory/GPO, and Entra/Microsoft 365/Exchange Online. Virtualisation: Advanced experience with VMware vSphere or Microsoft Hyper-V. Cloud: Proven experience in Azure or AWS (migrations, environment builds, and security). Networking: Strong understanding of wired networking, experience with firewalls (Sophos/Fortinet/Cisco), and VPNs. Wireless Networking: Experience with planning, deployment and surveying of wireless networks in commercial, education and/or healthcare settings with vendors like Meraki/Aruba/Ruckus Backup & DR: Management of enterprise-level backup solutions (Veeam, Redstor, etc.). What's in It for You? £37,000-£45,000 based on experience 22 days annual leave A friendly, collaborative office culture Real variety - every day is different Opportunities for professional development High-quality tools and an environment that values good engineering Avoid the city centre traffic! Be part of a team where your ideas and input genuinely matter Why entrust IT? We're an ambitious, growing MSP with a passion for doing IT right. You'll be part of a talented team that cares about quality, collaboration, and creating solutions that genuinely help our customers succeed. This is the place for you if you want: Real influence Interesting technical challenges Supportive colleagues Space to grow your career Ready to Join Us? Apply Now for this exciting new Technical Team Lead IT Infrastructure position for immediate consideration.
03/03/2026
Full time
Technical Team Lead IT Infrastructure (3rd Line & Infrastructure Projects) / Bedford / £37,000 to £45,000 per annum + Benefits Join one of the UK's fastest-growing Managed Service Providers and take your IT career to the next level! If you're a sharp-thinking problem solver who loves variety, teamwork, and delivering great work, this is the role for you. What You'll Be Doing: As the Technical Team Lead, you will hold a dual-focus position. You will act as the senior technical authority and project lead for our infrastructure environments while managing a small team of engineers. This is a hands-on role where you will design and implement a range of IT change projects for clients in your region. You and your team will develop and maintain relationships that our clients put trust in to deliver the solutions that their organisations need, while providing expertise-in-depth to the Service Team who escalate faults to you for resolution. Key Responsibilities of the Technical Team Lead IT Infrastructure Role: Team Leadership: Lead, mentor, and develop a small team of engineers. You will manage resource allocation, conduct 1-2-1s, and foster a culture of technical excellence. 3rd Line Escalation: Act as the final point of escalation for complex infrastructure issues involving Windows Server, Virtualisation, Networking, and Cloud Project Engineering: Lead the end-to-end delivery of infrastructure projects (e.g., server migrations, cloud transitions, security hardening, and site decommissions). Technical Account Management: Build strong relationships with internal or external clients ensuring their technical roadmap aligns with business goals and that infrastructure is "fit for purpose." Continuous Improvement: Identify bottlenecks in current systems and propose/implement automated or modernized solutions Experience & Qualifications: Minimum 3-5 years in a senior technical role, ideally within an MSP or a multi-site internal environment. Previous experience managing or leading a small technical team. Demonstrable experience delivering 3rd line IT projects on time and within budget. Must be able to commute to our Bedford office and travel to client sites as needed. Ideally holding recognisable vendor qualifications Infrastructure: Expert knowledge of Windows Server (2019 onward), Active Directory/GPO, and Entra/Microsoft 365/Exchange Online. Virtualisation: Advanced experience with VMware vSphere or Microsoft Hyper-V. Cloud: Proven experience in Azure or AWS (migrations, environment builds, and security). Networking: Strong understanding of wired networking, experience with firewalls (Sophos/Fortinet/Cisco), and VPNs. Wireless Networking: Experience with planning, deployment and surveying of wireless networks in commercial, education and/or healthcare settings with vendors like Meraki/Aruba/Ruckus Backup & DR: Management of enterprise-level backup solutions (Veeam, Redstor, etc.). What's in It for You? £37,000-£45,000 based on experience 22 days annual leave A friendly, collaborative office culture Real variety - every day is different Opportunities for professional development High-quality tools and an environment that values good engineering Avoid the city centre traffic! Be part of a team where your ideas and input genuinely matter Why entrust IT? We're an ambitious, growing MSP with a passion for doing IT right. You'll be part of a talented team that cares about quality, collaboration, and creating solutions that genuinely help our customers succeed. This is the place for you if you want: Real influence Interesting technical challenges Supportive colleagues Space to grow your career Ready to Join Us? Apply Now for this exciting new Technical Team Lead IT Infrastructure position for immediate consideration.