Trabajos train engineer en Reino Unido

Job Description Escalator Technician Jobs in London at Stannah - Join Our Team! Step into a role where your technical expertise truly makes an impact. We’re looking for an experience Escalator Technician who thrives on solving complex engineering challenges and shaping the future of field service excellence. In the Escalator Technician role, you’ll bring senior-level technical and product expertise to the installation, maintenance, refurbishment, and repair of escalators and associated equipment. Your deep knowledge will guide detailed technical assessments, fault diagnosis, and the delivery of effective, timely resolutions. You’ll also produce clear process documentation and cost reporting to support operational decision‑making. You’ll work closely with the Branch Manager and Field Service Managers to mentor, train, and develop a high‑performing team of Field Engineers, sharing your expertise to build capability, confidence, and consistency across the team. Your contribution will play a key part in achieving our Business Objectives, Initiatives, and Targets across all areas of service delivery. You’ll champion best practice, safety, and continuous improvement to ensure we exceed customer expectations every time. This job covers key stations around Greater London and the M25 corridor. Working hours: 4 on 4 off 19:00 - 07:00 Escalator Technician Responsibilities : * Carry out escalator maintenance, inspections, surveys, and technical fault resolution, ensuring all work meets safety and quality standards. * Monitor site safety, compliance, and performance of engineers and subcontractors, completing risk assessments and required documentation. * Manage technical queries, materials procurement, and client liaison to support smooth project delivery. * Provide reporting and support across the business, including progress updates, incident reports, commissioning assistance, and cross‑area engineering support. * Maintain high standards of professionalism, including vehicle care, PPE use, van stock management, and participation in the out‑of‑hours call‑out rota. Please see full job description here: ___ Qualifications Escalator Technician Requirements: * Must be qualified to a minimum NVQ level 4. * Proven experience in the maintenance and minor repair on a range of electrical, mechanical or electronic equipment, in the customer’s environment. * Experience of computer or PDA use is essential, as you will be required to use a mobile comms unit to log all calls and access customer and equipment information. Additional Information If you have a comprehensive Escalator engineering background, including an NVQ 4 in Escalator Engineering or equivalent – we want to hear from you! If you are looking for a Escalator Engineer Job London, click the "Apply Now" button to send your CV or contact us for further information. Benefits Include: • Market Aligned Salary, paid on a monthly basis, • Profit Share Bonus Scheme, paid to all employees every quarter. Based on Group Company profits, • 20 days holiday, • Holiday scheme to buy extra days’ annual leave, • Pension Scheme. Matched contribution/salary sacrifice, • SimplyHealth Cash Plan. Allows you to claim towards health costs. For example, dental, optical, physiotherapy, chiropody treatments and more, • Life Assurance Scheme, • Long Service award scheme, with holiday benefit, • Company Benefits Discount Rewards Scheme. Includes shop discounts, hotel discounts, days out, and more, • Employee Assistance Programme. A workplace initiative to support and enhance well-being, • Company Van #LDS Stannah Group is an equal opportunities employer. We welcome and encourage applications from candidates of all backgrounds, identities, and abilities. We are a Disability Confident Committed Employer. We treat all our job applicants fairly and with respect. Our employees are the heart of our business. We take great care to create a working environment where everyone feels valued. Join our team and be a part of our diverse and inclusive community! We reserve the right to close this vacancy early if we receive high numbers of applications for the role. Appropriate right to work must be held by applicants. Sponsorship is not available. PandoLogic. Category:Installation & Maintenance, Keywords:Field Service Manager, Location:Ilford, ENG-IG2 6PY

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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. Please note this is a training course and fees apply

Field Service Engineer (Pumps/Mechanical) £50,000 - £60,000 + Door-Door pay + Overtime + Company Van + Fuel Card + Training + Progression city of LondonAre you Field Service Engineer with a background working on Pumps or similar looking to join an expanding business in a new role that will provide you with door-door pay, training to develop your skillset where desired, and the opportunity to boost your income with access to regular overtime? On offer is the opportunity to join a market-leading company that offer pump and drainage maintenance solutions, as they expand their team to meet the growing needs of the business and take on exciting new contracts in the commercial and residential sectors.In this field based role you will cover a local patch carrying out a mixture of planned and reactive maintenance on pumps, for commercial and residential clients. You will be provided training in areas that require upskilling and have the chance to train in other areas of the business.This role would suit someone with a background servicing Pumps or similar looking to join a growing company that will provide the opportunity to upskill and the chance to boost your income with access to regular overtime.The Role • Installing, Servicing and maintaining pumps, • Planned and reactive maintenance, • Background in pumps Pump Engineer, Field service engineer, Drainage, Booster sets, Control panels, Installation Engineer, Electrical, Mechanical, Motors, Control Panels, Pump Technician, drainage Technician, Enfield, Ilford, Croydon, Watford, Wembley, Twickenham, Dartford, Kent, Gravesend, Crawley, Luton, London, Pump Engineer If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered remuneration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy, and Disclaimers, which can be found on our website.

Auto Electrician Dartford£32,000 - £35,000 (OTE £70,000+) + Company Vehicle + Fuel Card + Door To Door Paid + Plenty of Overtime + Family Feel Company + Holiday + Pension + Sick Pay Progression to Senior Engineer + Immediate Start Currently stagnant where you are? This is a great opportunity to train and develop with a company that offers a fantastic training program.This role is perfect if you are an Auto Electrician looking to work across a variety of vehicles, including cars, lorries, and HGVs, with the chance to earn over £70,000 a year through overtime. Join a specialist vehicle security and electrical systems company where you'll feel valued and supported while developing your skills and career.This well-established company has built a strong reputation across the South East for providing high-quality installations and repairs on vehicle electrical systems, including alarms, tracking systems, and bespoke electrical setups. As an Auto Electrician, you'll enjoy job variety, a supportive team environment, and the chance to progress to Senior Engineer level. With plenty of work and overtime available, you can take control of your earnings.Your Role As An Auto Electrician Will Include: • Diagnosing, Repairing, and Installing Electrical Systems on cars, lorries, and HGVs, • Wiring Work fault finding, fitting, and repairing vehicle electrical systems, • Installing Alarms, Trackers, and Other Specialist Vehicle Systems As An Auto Electrician, You Will Have: • Auto Electrical Experience, Cars, Lorries, HGVs, or Plant, • Electrical Wiring Knowledge, fault finding & installation Auto Electrician, Vehicle Electrician, Automotive Electrical Technician, Car Electrician, Auto Electrical Technician, Vehicle Wiring Specialist, Automotive Wiring Technician, Car Electrical Systems Technician, Automotive Electronics Technician, Vehicle Electrical Technician, Auto Diagnostics Technician, Automotive Electrical Installer, Car Electronics Specialist, Vehicle Electrical Maintenance Technician, Auto Electrical Repair Technician, Automotive Electrical Engineer

Pump Engineer £50,000 - £60,000 + Overtime + Company Van + Fuel Card + Training + ProgressionIllford, LondonDo you have a background working on pumps or similar, looking for a brand new position covering a local patch with a rapidly expanding company that will upskill you by providing you with in-house training, external qualifications and access to a generous overtime structure?On offer is the opportunity to join a market-leading company that offer pump and drainage maintenance solutions, as they expand their team to meet the growing needs of the business and take on exciting new contracts in the commercial and residential sectors.In this field based role you will cover a local patch carrying out a mixture of planned and reactive maintenance on pumps, for commercial and residential clients. You will be provided training in areas that require upskilling and have the chance to train in other areas of the business.This role would suit someone with a background servicing Pumps or similar looking to join a growing company that will provide the opportunity to upskill and the chance to boost your income with access to regular overtime.The Role • Installing, Servicing and maintaining pumps, • Planned and reactive maintenance, • Background servicing pumps Pump Engineer, Field service engineer, Drainage, Booster sets, Control panels, Installation Engineer, Electrical, Mechanical, Motors, Control Panels, Pump Technician, drainage Technician, Enfield, Ilford, Croydon, Watford, Wembley, Twickenham, Dartford, Kent, Gravesend, Crawley, Luton,

Trainee Network Engineer – No Experience Needed Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Network Engineer Job Programme is designed to help you move into a high-demand network engineering role, even if you have no prior experience. Train online at your own pace and land your network engineering 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-£50,000. Why Network Engineering Every business relies on secure, reliable networks to operate. From corporate offices to cloud-based environments, network engineers are essential to keeping systems connected, secure, and running efficiently. This demand translates into strong salaries and long-term job security across industries worldwide. How It Works Step 1: CompTIA A+ Start with the fundamentals of IT systems, hardware, operating systems, and troubleshooting. This stage builds the core technical knowledge required to work in IT environments. Step 2: CompTIA Network+ Develop the skills needed to configure, manage, and secure wired and wireless networks. You’ll cover networking concepts, infrastructure, troubleshooting, and security aligned with industry expectations. Step 3: Practical Network Experience You will apply your knowledge through live labs that reflect workplace environments, giving you the practical experience needed to move into a network-focused role. Step 4 – Job Placement Once qualified, our recruitment team works with you directly to prepare applications, set up interviews, and secure your first role in network engineering. What You Get • 100% online, self-paced training, • CompTIA A+ and Network+ certifications, • Live labs for practical experience, • 1-on-1 tutor and recruitment support, • Job guarantee – get a job or your money back, • Starting salary of £28,000–£50,000 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. “I expected it to be harder to get into network engineering. Three weeks after I finished the training, I was starting my first role.”– Priya S., Network Technician, Leicester Ready to Start? If you want to build technical skills and move into a network-focused role, this programme is designed to get you there. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Lead Fire Engineer Looking for an experienced Fire Alarm Systems Engineer with excellent knowledge of systems in blocks of flats. This role is to support systems in large residential blocks across the SE London area. In addition to undertaking Service Calls, PPM's, and reactive maintenance visits, you will train, mentor and act as a technical escalation point for more junior Fire Alarm Field Service Engineers. Package is £42- £45000 + business use company van with all travel, parking costs etc met. This is a Full time PAYE permanent position with paid holiday, pension, and plenty of overtime opportunity if desired. Applicants for this role must have worked in a similar Fire Alarm Servicing position and hold a full manual driver’s licence. As this role is focused on supporting systems installed in buildings around the SE post code area; applicants should be located within a reasonable drive: BR / SE / DA post codes, North Kent, or local towns like Croydon.

Security Systems Engineer (CCTV, Access Control & Intruder Alarms) - Croydon - £36,000- £44,000 Basic Salary Per Annum Security Systems Engineer (CCTV, Access Control & Intruder Alarms) Package Overview: • £36,000 - £44,000 Basic Salary + Overtime (Negotiable depending on experience), • Full-Time, Permanent, • Monday to Friday Hours Our Client are currently looking for a Security Engineer to join their highly valued team on a Full-Time, Permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Security Systems Engineer (CCTV, Access Control & Intruder Alarms) Role and Responsibilities: • Installation, Service, Repair, Fault-finding & Maintenance of IP CCTV, Access Control & Intruder Alarm Systems, • Field based role, covering a number of sites, • Working on a range of brands of manufacturer, • Take responsibility for the overall quality of the work delivered, • Carry out effective communication with customers at all times, • Ensure tasks are completed efficiently, • A full UK driving licence or equivalent (Essential), • A drive and enthusiasm to grab hold of opportunities, • Ideally you will have at least 3 years’ experience working within the Security Industry (Not essential), • Considering applicants with all or single discipline providing you are willing to train, • Knowledge of a range of manufacturers, • Desirable qualifications include: IPAF, CSCS/ ECS, FIA and/or City & Guilds, • Competitive basic salary of up to £44,000 per annum (Negotiable depending on experience), • Company vehicle & fuel card, • Plenty of overtime available if wanted, • Opportunity to earn more money via the on-call rota, • Annual leave provided, • Pension scheme, • On-going training opportunities Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful.

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized organisation in the technology industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. • Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection., • Build and maintain training and inference pipelines using PyTorch, and related ML frameworks, • Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows., • Run structured experiments, evaluate model performance, and iterate based on measurable results, • Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring., • Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability, • Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools., • Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources., • Evaluate and integrate large language models into production systems where they add clear value. Machine Learning Engineer - London A successful Machine Learning Engineer should have: • Strong foundation in machine learning, deep learning, and optimisation, • Hands-on experience training, evaluating, and deploying ML models in real-world systems, • Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem, • Experience with audio or speech models and frameworks., • Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar)., • Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred), • Practical experience designing agentic AI systems and integrating models with external services, • Comfortable owning the full ML lifecycle, from data preparation to production deployment Machine Learning Engineer - London • Competitive salary ranging from £80,000 to £100,000 per annum., • Comprehensive benefits package to support your well-being., • Opportunity to work in a leading organisation within the insurance industry., • Collaborative and innovative work environment in London.

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

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.

Fire and Security Engineer - East London - £32,000- £45,000 Per Annum Fire and Security Engineer Package Overview: • £32,000 - £45,000 Basic Salary + Overtime (Negotiable depending on experience), • Full-Time, Permanent, • Monday to Friday Hours Our Client are currently looking for a Fire and Security Engineer to join their highly valued team on a full-time, permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Fire and Security Engineer Role and Responsibilities: • Installation, Service, Repair, Fault-finding & Maintenance of Fire Alarms, Intruder Alarms, CCTV & Access Control Systems, • Field based role, covering a number of sites, • Working on a range of brands of manufacturer, • Take responsibility for the overall quality of the work delivered, • Carry out effective communication with customers at all times, • Ensure tasks are completed efficiently, • A full UK driving licence or equivalent (Essential), • A drive and enthusiasm to grab hold of opportunities, • Ideally you will have at least 3 years’ experience working within the Fire and Security Sector, • Considering applicants with all or single discipline providing you are willing to train, • Knowledge of a range of manufacturers, • Desirable qualifications include: IPAF, CSCS/ ECS, FIA and/or City & Guilds, • Competitive basic salary of up to £45,000 per annum (Negotiable depending on experience), • Company vehicle & fuel card, • Plenty of overtime available if wanted, • Opportunity to earn more money via the on-call rota, • Annual leave provided, • Pension scheme, • On-going training opportunities Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful.

Fire Alarm Engineer - London- Basic Salary £28,000 - £45,000 Per Annum Fire Alarm Engineer - Package Overview: • Basic Salary: £28,000 - £45,000 (negotiable based on experience), • Opportunities for increased earnings, • Company vehicle, fuel card, pension scheme, mobile phone & laptop, • Full-time, permanent role, • Monday to Friday, 40 hours per week, • Excellent training and career progression opportunities, • Area covered - London and home counties, • Field based role covering a number of sites A fantastic opportunity has arisen within a well-established and highly regarded company in the fire safety and security sector. This growing organisation is recognised for its expertise in designing, installing, and maintaining high-quality fire alarm systems for clients across a variety of sectors, including commercial, residential, and industrial. As part of a collaborative team, you will play a key role in delivering exceptional service, with your work carefully planned and allocated according to your strengths and location. You will receive full training and ongoing support to ensure your success and professional development. Fire Alarm Engineer - Role and Responsibilities: • Install, service and maintain fire alarm systems to industry standards and client specifications., • Conduct regular inspections and preventative maintenance to ensure systems remain fully operational and compliant with regulations., • Fault diagnosis and repair of fire alarm systems, ensuring fast and effective resolution of issues., • Upgrade and modify systems to meet client needs and comply with current standards., • Ensure compliance with British Standards, health and safety regulations, and company procedures., • Provide exceptional customer service by liaising with clients, addressing queries, and delivering expert advice., • Maintain accurate documentation including service reports, maintenance logs, and installation certificates., • Collaborate with other engineers and trades to ensure efficient project delivery., • Strong technical knowledge of fire alarm systems and associated equipment., • Proven experience in the installation, service, and maintenance of fire alarm systems., • Excellent fault-finding skills with a proactive approach to problem-solving., • Familiarity with industry standards and fire safety regulations., • Ability to interpret technical drawings and system specifications., • Strong organisational and time-management skills., • A methodical, detail-oriented approach to work., • Commitment to health and safety practices in all tasks., • Full UK driving licence or equivalent., • Excellent training and development opportunities, • Plenty of opportunities to increase your earnings, • Excellent work life balance, • Supportive work environment, • Carefully planned out work schedules Get Staff acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Please note: If you have not been contacted within 7 days, your application for this position has been unsuccessful. Industry Key Words: Installation Engineer, IP, Integrated Security Systems, Maintenance Engineer, Service Engineer, Repair Engineer, Fire and Security Engineer, Security Engineer, Fire Engineer, Fire Alarm Servicing, Fire Alarm Maintenance, Risk Assessment, Fire Extinguisher Servicing, Fire Stopping, Passive Fire, Fire Protection, Fire Prevention, Life Safety, Commissioning, Fire Alarm, Security Systems Engineer, Fire Extinguisher, Emergency Lighting, Nurse Call Systems, Security Systems, CCTV, Close Circuit Television, Automatic Number Plate Recognition, ANPR, Access Control, Door Entry, Life Safety, Health and Safety, Intruder Alarm, Hikvision, Dahua, Qvis, Galaxy, Texecom, Scantronic, Paxton, PAC, Net2, Wisenet, Morley, Advanced, Kentec, C-tec, Gent, Hojicki, HiFire, Pelco, Menvier, Concept Pro, Haes, Fermax, Videx, ACT, Avigilon, Lenel C-Cure, Notifier, Site Survey, Security System Design, Electrical Engineer, IP Networking, PPM, Preventative maintenance, BAFE, FIA, ECS Card, System Upgrades, Commercial, Residential, Industrial, Site Surveys, Control Panels, System

Service Desk Engineer (2nd Line) London (North London) Hybrid (3 days onsite, 2 days remote) | Occasional client travel Are you an experienced IT support professional ready to take the next step in your career? Do you enjoy solving complex technical issues while delivering outstanding customer service, both remotely and face-to-face? We’re looking for a skilled Service Desk Engineer (2nd Line) to join our dynamic Service Delivery Team. About the Role As a 2nd Line Service Desk Engineer, you will be at the forefront of delivering high-quality technical support to our clients. You’ll handle escalated incidents, proactive monitoring alerts, and on-site visits, while helping to mentor and develop the 1st Line team. Key Responsibilities • Respond promptly to technical support requests via phone, email, and ticketing system, • Diagnose and resolve 2nd line and escalated tickets, as well as NOC monitoring alerts, within agreed resolution times, • Provide face-to-face technical support through pre-scheduled client site visits, • Accurately classify, prioritise, and document tickets with detailed notes throughout their lifecycle, • Keep clients and their IT teams regularly updated on ticket progress, • Identify recurring issues and contribute to permanent solutions, • Create and maintain technical documentation and knowledge base articles, • Deliver excellent customer service and a positive support experience at all times, • Manage your own ticket queue, triage effectively, and escalate where necessary, • Liaise with third-party vendors and partners to resolve complex issues, • Support, mentor, train, and develop the 1st Line Service Desk Analysts, • Stay up to date with the latest technologies and cyber security developments, and share knowledge with the team, • Achieve relevant Microsoft and technical certificationsWhat We’re Looking For, • Excellent customer service, telephone, and client-facing skills, • Minimum 2 years’ experience providing IT support across multiple technologies (MSP experience is highly desirable), • Proven experience attending client sites and delivering face-to-face support, • Strong troubleshooting and support experience in the following technologies:, • Windows Server (on-premise and Azure), • Active Directory (on-premise and Azure), Group Policy, Office 365, and SharePoint, • Microsoft Exchange, • Virtualisation technologies (Windows Virtual Desktop, Hyper-V, Virtual Machine Manager, vSphere), • Backup and Disaster Recovery solutions, • Cyber-security tools and concepts (EDR, MFA, AV, incident response), • Networking (TCP/IP, DNS, DHCP, LAN, WAN, Wireless, Switches, Routers), • Windows OS, macOS, and Microsoft Office, • Mobile device configuration and support, • Ability to configure, administer, and support both Windows and macOS devices, • Solid understanding of the cyber threat landscape and security best practices, • Proactive mindset with the ability to anticipate and prevent issues, • Excellent verbal and written communication skills – able to explain complex technical matters clearly to users of all levels, • A genuine passion for learning new technologies, demonstrated through certifications or personal projects, • Strong team player who is also highly self-motivated, • Calm and professional approach when dealing with difficult or demanding situations, • Full UK driving licenceWhat We Offer, • Hybrid working (3 days onsite, 2 days remote), • Varied and interesting workload across multiple client environments, • Opportunities to develop your technical skills and gain certifications

Fuel your future with AO and earn up to £2,000 in performance bonuses plus a £2,000 welcome bonus when you join our team. We’re all about balance — enjoy a shift pattern that fits your lifestyle, giving you the freedom to work in a way that works for you. As one of our Gas Engineers, you’ll keep full control of your Gas Safe card, while enjoying a reliable income you can count on. • Salary: £39,000 - £42,000 per annum, • Shift Pattern: 4 on 4 off / 6am- 6pm Here’s what you can expect to be doing as a Gas Installations Engineer: As a Gas Engineer at AO, you’ll team up with one of our drivers to visit customers’ homes and install gas appliances and electrical products. No repairs—just safe, high-quality installs and brilliant customer service, every time. A Few Things About You: Essential • Full UK manual driving licence with no more than 6 points, • CCN1 & CKR1, • To be over the age of 21 for insurance purposes As a Gas Installations Engineer, you will gain: • A 4 on 4 off shift pattern and 24 days holiday, you will work less than half a year., • On-call support from our technical team and Installation Managers, • Fantastic training facilities with ongoing learning opportunities, • Healthcare Cashback Scheme, • Competitive pension Scheme Click 'Apply' now to join our family and find out more about the Gas Installations Engineer role.

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. No experience? No problem - we'll give you all the training you need to succeed!If you enjoy fixing things, love working with your hands, and want a job where every day is different, this could be the perfect fit for you. About the Role As a Trainee Field Service Engineer, you'll be out on the road, visiting customers' homes to diagnose and repair household appliances. You'll be the friendly face of Hotpoint, helping people get their appliances back up and running.What you'll be doing: • Driving your own Hotpoint van to customer appointments, • Diagnosing and repairing appliances like tumble dryers, electrical cookers, washing machines, • Providing top-notch customer service, • Managing your tools and spare parts stock We'll fully support you from day one with a blend of classroom learning, hands-on experience, and on-the-job training: • Welcome Induction (2 days) - Meet your team, collect your equipment, and learn key safety info, • Shadowing - Join an experienced engineer on the road to see the job in action, • Phase 1 Training (2 weeks) - Technical training at our specialist centre in Peterborough, • On-the-Job Learning (6 - 9 months) - Build your skills with real customers We're looking for people who are: • Passionate about customer service, • Interested in electrics, mechanics, or hands-on problem-solving, • Hold a full UK manual driving licence, • Physically fit - able to move and lift appliances, • Eligible to work in the UK, • Pay: £29,367 - £30,512 per year (daily rate equivalent via umbrella company), • Bonuses: Commission + overtime opportunities, • Vehicle: Fully equipped company van + fuel card, • Time Off: 20 days holiday + bank holidays increasing to 25 days once permanent, • Learn from the best with industry-leading training, • Join a globally respected brand trusted by millions, • Enjoy a secure career path with opportunities to grow This is more than just a job - it's the start of a long-term career where you'll learn new skills, meet great people, and be proud of what you do. Hit Apply and take the first step to becoming a fully qualified Field Service Engineer with Hotpoint. For further information please contact the academy team!

Mechanical Plant Engineer London £ + Discretionary Bonus + Pension + Private Healthcare + Cycle to Work Scheme + Electric Car Scheme + Career Progression Are you a mechanical plant engineer ready to boost your career while earning top pay for your skills? Do you want to work on large-scale, low-carbon energy projects with clear progression, excellent benefits, and the chance to take real ownership? We are looking for an experienced Mechanical Plant Engineer with at least 2 years' experience on commercial mechanical plant. This role is ideal for someone confident with service, breakdowns, and fault finding, who enjoys keeping critical systems running and developing their career in a fast-growing business. In this role, you will focus on service and breakdown work across energy centres, restoring heating, completing planned maintenance, and supporting critical infrastructure as part of a 1 in 4 on-call rota. You'll also have opportunities to develop technical skills and mentor junior engineers. The Role * Service, fault-find, and repair commercial plant (pumps, boilers, heat exchangers, actuators). * Respond to reactive breakdowns and restore heating. * Complete Planned Preventative Maintenance (PPM) to ensure reliability. * Diagnose faults and implement long-term solutions. * Participate in a 1 in 4 on-call rota. * Support and train junior engineers. The Person * 2+ years' experience on mechanical or commercial plant. * NVQ Level 3 in Gas/Plumbing or equivalent. * Strong fault-finding and problem-solving skills. * Confident communicator across teams and sites. * Willingness to travel UK-wide and cover callouts. * Basic electrical competency and able to read P&IDs/schematics. BH: 271777 To apply, click Apply Now or contact Maleek Randley at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Robert Half Technology are assisting a market leading financial services to recruit a AI Enablement Engineer on an initial 6-12 month contract basis. London based - hybrid working This role is primarily to provide AI integration support and guidance to a team of around 25 investment, operations and support personnel. We are in the early stages of this process so the role will be well positioned to help guide how the integration looks. The second function of the role is providing support, when needed, to the Python and SQL based reporting suite used by the operations team. Role • The AI Enablement Engineer will lead the AI integration project, focusing on data security and controls appropriate for the needs of the different teams within the business, • Train staff to use AI tools both efficiently and securely, • Work with our outsourced IT provider to ensure that we stay up to date with developments in AI security and integration, • Docker, Postgres, REST APIs, SFTP, Websockets, • OOP + Asynchronous Design Patterns, • PowerQuery/DAX/M, • Industry standard libraries used in software development within finance (pandas, numpy, scipy etc), • MS Graph, • Experience with the following technologies is nice to have:, • NodeJS, • Grafana, • VBA, • OpenAI API The AI Enablement Engineer will have experience with the following: • Data processing and transformation, • Report maintenance/production, • Management of automated processes, • Use/management of virtual machines, • Investigation of reporting breaks/inconsistencies with an eye for detail, • The ability to quickly adopt and use the stack of previous developers, • Experience with migrations is a nice to have, • Market leading financial services organisation, • Global presence with offices in London The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Industrial Door Engineer - London - Up to £22.00 Per Hour + Overtime Industrial Door Engineer Package Overview: • £16.00 - £22.00 per hour + Overtime (Negotiable depending on experience), • Full-Time, Permanent, • Monday to Friday Hours Our Client are currently looking for an Industrial Door Engineer to join their highly valued team on a full-time, permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Industrial Door Engineer Role and Responsibilities: • Installation, Service, Repair, Fault-finding & Maintenance of Industrial Doors such as; Roller Shutters, Sectional Doors, High Speed Doors, Loading Bay Equipment, Dock Levellers, Manual Doors, Fire Doors & More, • Field based role, covering a number of sites, • Working on a range of brands of manufacturer, • Take responsibility for the overall quality of the work delivered, • Carry out effective communication with customers at all times, • Ensure tasks are completed efficiently, • A Full UK Driving Licence or equivalent (Essential), • Ideally you will have at least 3 years’ experience working within the Industrial Door Industry (Not essential), • Considering applicants with all or single discipline providing you are willing to train, • Knowledge of a range of manufacturers, • Desirable qualifications include: IPAF, CSCS/ ECS, SPA Passport, PASMA and/or City & Guilds, • Competitive hourly rate of up to £22.00 per hour (Negotiable depending on experience), • Company vehicle & fuel card, • Plenty of overtime available if wanted, • Opportunity to earn more money via the on-call rota, • Annual leave provided, • Pension scheme, • On-going training opportunities Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful.

Trainee Water Treatment Engineer/Pipe Fitter (Field Based) Croydon £30,000 - £40,000 per annum + Full Training + Company Vehicle + Fuel Card + Pension + Bonus Are you a skilled Pipe Fitter looking to take the next step in your career? Do you want the opportunity to train and grow into a fully qualified Water Treatment Engineer while working in a hands-on, field-based role across the South of England? Do you want to join a supportive and forward-thinking team where you can learn on the job, develop technical expertise, and build a long-term career in a growing and respected company? On offer is the chance to join a trusted provider of water treatment solutions. The company is committed to developing its people, offering full training, a collaborative working culture, and a clear path to progression. You'll gain practical experience working on a wide range of water treatment systems, while being fully supported every step of the way. In this role, you will start by applying your pipe fitting skills to assist with installation, servicing, and maintenance of water treatment systems. Over time, you will receive structured training to become a qualified Water Treatment Engineer, working on water softeners, reverse osmosis systems, ultraviolet disinfection units, and filtration equipment. This role is ideal for a motivated Pipe Fitter with some field experience who is eager to learn and develop into a water treatment specialist. Full UK driving licence and the right to work in the UK are essential. No previous water treatment experience is required - full training will be provided. The Role • Supporting installation, servicing, and maintenance of water treatment systems, • Learning to operate and maintain systems including water softeners, reverse osmosis, and filtration units, • Completing accurate service records and site visit reports, • Experienced Pipe Fitter or skilled in related mechanical / plumbing work, • Motivated to learn and develop into a Water Treatment Engineer, • Confident working independently and on customer sites, • Strong problem-solving and practical skills, • Physically fit and flexible for field-based work Key Words: Pipe Fitter, Pipe, Fitter, Water Treatment, Treatment, Water, Croydon, Bromley, Sutton, Engineer, Plumber, Field-Based, Installation, Service, Repair If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Trainee Coding Programme – No Experience Needed Future-proof your career in Coding – starting today. Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Coding Job Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. Train online at your own pace and land your coding 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-£50,000. Step 1 - HTML and CSS Online Training The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials, • CSS Essentials Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 - Online Training The second step includes a selection of more advanced courses to get you up to speed. • React-js Step 3 - Build a Portfolio Website Project Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Connect2Hackney, the internal talent team for the London Borough of Hackney, are looking for a high-level Senior Cyber Security Engineer to join our team during a pivotal phase of our security evolution. With the strategic deployment of our new outsourced Security Operations Center (SOC) from NCC Group, we need a technical expert to bridge the gap between our raw security data and actionable intelligence. You will be the technical lead responsible for managing, integrating, and optimising our SOC capabilities while mentoring and training our existing team to elevate their technical skill sets. Key Responsibilities • Endpoint Strategy: Lead the deployment, policy configuration, and maintenance of our CrowdStrike Falcon platform., • SIEM Mastery: Collaborate with our SOC partner to architect and optimise Splunk dashboards, alerts, and data models., • Incident Response: Act as the technical escalation point for high-priority incidents, utilizing EDR and SIEM tools for rapid containment., • Automation & Hunting: Develop SOAR workflows to improve response times and proactively hunt for undetected malicious activity. We are seeking a candidate who brings at least 5+ years of experience in a dedicated Cyber Security Engineering or SOC Tier 3 role. Technical Requirements: • CrowdStrike Expertise: Deep hands-on experience with Falcon Prevent, Insight, and Discover., • Splunk Power User: Proficiency in writing complex Search Processing Language (SPL) and managing Splunk Enterprise Security (ES)., • Technical Breadth: Strong understanding of network protocols, cloud security (AWS/Azure), and the MITRE ATT&CK framework., • Additional Skills: Experience with Vulnerability Assessment (VA) tools, Penetration Testing, and Web Application Testing is a significant bonus.Desired Qualifications:, • Mandatory: Splunk Certified Cybersecurity Defense Engineer., • CrowdStrike: Ideally 2 or more certifications from CCFA, CCFR, or CCSE., • General: Advanced certifications such as CISSP, GCIH, GCIA, or CCSP are highly valued. Why Join LBH? This is a critical role that goes beyond daily operations; you will be instrumental in maturing our SOC service and ensuring our investment in NCC Group, Splunk, and CrowdStrike is fully realised. If you are a technical expert capable of turning raw data into defense, we want to hear from you. Commercial Services Trading Ltd is acting as an Employment Business in relation to this vacancy.

Security Engineer (CCTV, Access Control and Intruder Alarms) - London- Basic Salary £28,000 - £47,000 Per Annum Security Engineer (CCTV, Access Control and Intruder Alarms) - Package Overview: • £28,000 - £47,000 (negotiable based on experience), • Opportunities to increase earnings, • Company vehicle, fuel card, pension scheme, mobile phone, and laptop, • Full-time, permanent position, • Monday to Friday (40 hours per week), • Excellent training and career progression opportunities, • Area covered - London and home counties, • Field based role covering a number of sites, • The work is strategically allocated based on each engineer’s location and strengths An excellent opportunity has become available within a well-established, growing company in the security industry. This highly regarded organisation is known for its expertise in designing, installing, and maintaining security systems including CCTV, access control & intruder alarms for commercial, residential and industrial clients. You will join a team of skilled professionals, with your work carefully planned and allocated to ensure high standards and efficiency. The company offers full training and ongoing support, helping you to develop your career and skills in a supportive environment. Security Engineer (CCTV, Access Control and Intruder Alarms) - Role and Responsibilities: • Install and maintain security systems, including CCTV, access control, intruder alarms, and other related systems., • Conduct regular servicing and testing of security systems to ensure their operational effectiveness and compliance with regulations., • Fault diagnosis and repair, ensuring systems are fully operational and meet client requirements., • Perform system upgrades and modifications to meet changing client needs and updated industry standards., • Ensure all work complies with British Standards, health and safety regulations, and company procedures., • Provide excellent customer service, liaising with clients to address concerns and provide professional advice., • Maintain accurate records, including service reports, installation logs, and maintenance documentation., • Collaborate with other engineers and teams to ensure smooth and efficient project delivery., • Strong technical knowledge of security systems, including CCTV, access control & intruder alarms., • Proven experience in the installation, maintenance, and servicing of security systems., • Excellent fault-finding and problem-solving abilities., • Ability to interpret technical drawings and system specifications., • Familiarity with British Standards and security industry regulations., • Strong organisational and time-management skills., • Methodical, detail-oriented approach to work., • A commitment to health and safety practices in all tasks., • Full UK driving licence or equivalent., • Experience with various manufacturers and systems., • Excellent training and development opportunities, • Plenty of opportunities to increase your earnings, • Excellent work life balance, • Supportive work environment, • Carefully planned out work schedules Get Staff acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Please note: If you have not been contacted within 7 days, your application for this position has been unsuccessful. Industry Keywords: Security Systems Engineer, CCTV, Access Control, Intruder Alarms, Fire Alarm Systems, Installation Engineer, Service Engineer, Security Systems, Security System Design, Fault Diagnosis, Preventative Maintenance, System Upgrades, IP Networking, PPM, Health and Safety, British Standards, Site Surveys, Commercial Security, Residential Security, IP, Integrated Security Systems, Maintenance Engineer, Service Engineer, Repair Engineer, Fire and Security Engineer, Security Engineer, Commissioning, Fire Alarm, Security Systems Engineer, Fire Extinguisher, Emergency Lighting, Nurse Call Systems, Close Circuit Television, Automatic Number Plate Recognition, ANPR, Access Control, Door Entry, Life Safety, Health and Safety, Intruder Alarm, Hikvision, Dahua, Qvis, Galaxy, Texecom, Scantronic, Paxton, PAC, Net2, Wisenet, Morley, Advanced, Kentec, C-tec, Gent, Hojicki, HiFire, Pelco, Menvier, Concept Pro, Haes, Fermax, Videx, ACT, Avigilon, Lenel C-Cure, Notifier, Electrical Engineer, BAFE, FIA, ECS Card, Site Surveys, Control Panels, System Commissioning.

Trainee Network & Security Engineer – No Experience Needed Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Network & Security Engineer Job Programme is designed to help you move into a high-demand network engineering role, even if you have no prior experience. Train online at your own pace and land your network engineering 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-£50,000. Why Network Engineering Every business relies on secure, reliable networks to operate. From corporate offices to cloud-based environments, network engineers are essential to keeping systems connected, secure, and running efficiently. This demand translates into strong salaries and long-term job security across industries worldwide. How It Works Step 1: CompTIA A+ Start with the fundamentals of IT systems, hardware, operating systems, and troubleshooting. This stage builds the core technical knowledge required to work in IT environments. Step 2: CompTIA Network+ Develop the skills needed to configure, manage, and secure wired and wireless networks. You’ll cover networking concepts, infrastructure, troubleshooting, and security aligned with industry expectations. Step 3: Practical Network Experience You will apply your knowledge through live labs that reflect workplace environments, giving you the practical experience needed to move into a network-focused role. Step 4 – Job Placement Once qualified, our recruitment team works with you directly to prepare applications, set up interviews, and secure your first role in network engineering. What You Get • 100% online, self-paced training, • CompTIA A+ and Network+ certifications, • Live labs for practical experience, • 1-on-1 tutor and recruitment support, • Job guarantee – get a job or your money back, • Starting salary of £28,000–£50,000 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. “I expected it to be harder to get into network engineering. Three weeks after I finished the training, I was starting my first role.”– Priya S., Network Technician, Leicester Ready to Start? If you want to build technical skills and move into a network-focused role, this programme is designed to get you there. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Robert Half Technology are assisting a market leading financial services to recruit a Python Developer on an initial 12 month FTC basis. London based - hybrid working This role is primarily to provide AI integration support and guidance to a team of around 25 investment, operations and support personnel. We are in the early stages of this process so the role will be well positioned to help guide how the integration looks. The second function of the role is providing support, when needed, to the Python and SQL based reporting suite used by the operations team. Role • The Python Developer will lead the AI integration project, focusing on data security and controls appropriate for the needs of the different teams within the business, • Train staff to use AI tools both efficiently and securely, • Work with our outsourced IT provider to ensure that we stay up to date with developments in AI security and integration, • Docker, Postgres, REST APIs, SFTP, Websockets, • OOP + Asynchronous Design Patterns, • PowerQuery/DAX/M, • Industry standard libraries used in software development within finance (pandas, numpy, scipy etc), • MS Graph, • Experience with the following technologies is nice to have:, • NodeJS, • Grafana, • VBA, • OpenAI API The Python Developer will have experience with the following: • Data processing and transformation, • Report maintenance/production, • Management of automated processes, • Use/management of virtual machines, • Investigation of reporting breaks/inconsistencies with an eye for detail, • The ability to quickly adopt and use the stack of previous developers, • Experience with migrations is a nice to have, • Market leading financial services organisation, • Initial 12 month FTC, • Global presence with offices in London The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

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: Machine Learning Engineer (Mid-Level) Salary: £70,000 Location: London Employment Type: Full-Time The Company Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms. With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation. The Role The company is seeking a Mid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications, • Work with large datasets to build predictive and analytical models, • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure, • Implement automated model training, validation, and monitoring processes, • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data pipelines and feature engineering processes, • Optimise data workflows to support model development and experimentation, • Contribute to the development of robust ML infrastructure and tooling Collaboration and Product Integration • Work closely with product, engineering, and analytics teams to integrate ML models into applications, • Translate business requirements into machine learning solutions, • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required, • Identify opportunities to improve algorithms, data pipelines, and system performance, • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python, • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience working with SQL and large datasets, • Familiarity with data pipelines, feature engineering, and model optimisation, • Understanding of MLOps practices, model deployment, and monitoring, • Experience working with cloud platforms such as AWS, GCP, or Azure, • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development, • Experience deploying machine learning models into production environments, • Background working with large-scale data systems or data platforms, • Degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline What the Company Offers • Competitive salary of £70,000, • Opportunity to work on real-world machine learning systems and advanced AI solutions, • Collaborative engineering culture with strong technical mentorship, • Exposure to large datasets and cutting-edge ML technologies, • Clear career progression within a growing data and AI team, • Modern office environment in London This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.

Junior – Mid Software Engineer Shoreditch | Well-funded startup This one’s for the engineers who know they’re capable of more than their current role is letting them show. We’re working with a small, well-funded startup in Shoreditch who are building something genuinely interesting and are now looking for a junior – mid level Software Engineer to join the team. You don’t need Ruby on Rails or Postgres experience coming in, they will train you. You do need strong fundamentals, curiosity, and the motivation to get better quickly. The setup • You’ll join the engineering team and sit between two highly technical co-founders / very experienced engineers, • You’ll write code every day and actually see the impact of what you build, • You’ll get real ownership early, with the support to grow into an exceptional engineer This will suit someone who: • Has 1–3 years’ experience in a commercial software environment, • Likely has a strong academic background (CompSci or similar), • Started out in a graduate or junior role at a larger company, • Has learnt solid engineering fundamentals but feels a bit… removed from the outcome, • Now wants pace, responsibility, and learning by doing, not just tickets in a backlog Why move? If you’re currently: • Writing plenty of code but not seeing the bigger picture, • One of many engineers with limited influence 📍 Office-based in Shoreditch 💡 Early-stage, well-funded, genuinely supportive team If this sounds like you (or close enough), drop us a message or apply via LinkedIn. We’re Motive Group – we work with startups and scale-ups and spend a lot of time helping engineers make smart moves, not rushed ones.

Technical Support Engineer – Rolling Stock East London Salary - £44k + 30% shift allowance A leading rail provider is looking for a Technical Support Engineer to support rail rolling stock operations, ensuring trains remain safe, reliable, and in service. What you’ll do • Provide on-site and remote support, including off-depot incident response, • Diagnose and resolve train faults and in-service failures, • Analyse diagnostic data and deliver advanced fault-finding, • Produce clear technical reports and update CMMS records, • Proactively reduce failures through preventative interventions, • Support, mentor, and collaborate with maintenance teams, • Conduct audits, trend analysis, and performance reviews What you’ll need • Engineering qualification (Apprenticeship, NVQ, BTEC or equivalent), • Experience in rail / rolling stock, • Strong fault-finding and analytical skills, • Good IT skills and experience with maintenance systems, • Full UK driving licence

Senior Software Engineer | £70k–£95k | Python • FastAPI • AWS • EKS 🚀 Looking for a product-led engineering role in a recently profitable, high-growth scale-up? This isn't just about maintenance; it’s about building high-scale, cloud-native microservices and tackling a massive upcoming greenfield build. 🛠️ 💰 The Package: £70,000–£95,000 + Stock Options + Bonus 📍 Location: 1 day per week in London 🌍 Perks: Remote working, £1k annual flexible benefit, 30 days "work from abroad" p/a 🛠 Tech Stack: Python, FastAPI, gRPC, GraphQL, AWS (EKS), Microservices The Mission 🎯 This scale-up is transforming the insurance landscape through real-time data and telematics. By leveraging smart technology, they reward safe driving behavior with fairer, tailored premiums. Led by a new VP of Engineering, they are fostering a world-class engineering culture focused on autonomy, technical excellence, and high-volume, public-facing applications. What You’ll Do 💻 • Scale the Core: Build and maintain high-scale, cloud-native microservices using Python and FastAPI., • Greenfield Innovation: Play a key role in a long-term strategic product build from the ground up., • Domain Variety: Work in small, rotating product squads, giving you exposure to multiple technical domains and complex scaling challenges., • Modern DevOps: Operate within a sophisticated AWS environment utilizing EKS, gRPC, and GraphQL. What You Need ✅ • Technical Versatility: Deep experience in Backend Engineering. While the stack is Python-based, they value great engineers from various backend engineering backgrounds who are happy to cross-train., • Scale Mindset: Experience with microservices architecture and high-volume, public-facing apps., • Product Focus: A desire to work in "product-led" squads where you influence the what and the why., • Seniority: You bring a passion for clean code and architectural best practices. Interested in joining a profitable scale-up with a top-tier engineering pedigree? Let’s chat. 📩 Senior Software Engineer | £70k–£95k | Python • FastAPI • AWS • EKS 🚀

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

About Us: Here at c2c we take pride in being an award-winning train operator running services between Fenchurch Street and Shoeburyness, serving 26 stations in East London and South Essex. Our customers never stand still and neither do we. We anticipate, innovate and flex around our customer’s needs and it takes a great team to do this. We are looking for a dedicated and versatile individual to join our team as a Project Engineer. It is an exciting time to join c2c as we move into a new era of railway reform, aligning with Great British Railways (GBR) and the Department for Transport (DfT) to deliver a simpler, more connected and passenger-focused railway. Key Accountabilities: We are looking for a Project Engineer to be responsible for all engineering and technical disciplines that projects involve. You will schedule, plan, forecast, resource and manage all the technical activities aiming at assuring project accuracy and quality from conception to completion. These are really interesting, challenging and excellent development opportunities for the right individual. Key duties include: • Safety, cost, programme and quality requirements are met in the delivery of c2c maintenance/renewal projects across the Civils, Buildings and M&E Portfolio, • Identification of competent suppliers, issuing RFQs and evaluation of supplier price returns for safety, quality and cost value, • Compliance with c2c's financial governance procedures, • Work with Asset Manager and Project Manager to ensure scope definition and Technical Queries are managed to provide maximum whole life value, • Ensure contractor makes timely and adequate access requests, (track access, AMS 2.6) - review WPPs and site management documentation, • Liaise with c2c station management teams to ensure impact to stations operations are minimised during delivery of works, • Undertake site inspections / audits on track safety, quality and efficiency of site work (including out of hours and attendance during possessions), • Track and forecast contractor costs - report on under / overspend, • Ensure quality paperwork is compiled by contactor; review Entry into Service and Handback documentation, H&S Files and O&M Manuals in conjunction with Asset Managers and Project Engineer, • Ensure timely upload of information onto c2c's shared drives. Manage commercial close out. Experience, Knowledge & Qualifications Required: • Proven working experience as a Project Engineer, • Excellent knowledge of design and visualisations software such as AutoCAD, • Advanced MS Office skills, • Familiarity with rules, regulations, best practices and performance standards, • Ability to work with multiple discipline projects, • Project management and supervision skills, • Decision making ability and leadership skills, • Outstanding communication and negotiation skills, • Current engineer license, • Time management and organisation skills, • BS degree in Engineering or relevant field, • PTS AC (Sentinel Sponsorship to be provided by employer, i.e. not c2c), • Site Management Safety Training Scheme (SMSTS), • Knowledge of Network Rail standard's particularly 02009, 003, and 004, • Experience of using Microsoft Software and Google Suite Software., • Knowledge of c2c and Network Rail operations and geography.

Founding Engineer Wellbeing Intelligence · Healf The builder. The one who is genuinely obsessed with what comes next. Not the technology stack. Not the architecture pattern. The thing underneath: the systems instinct, the zero-to-one appetite, the compulsion to build things that actually scale. You might be a staff engineer at a growth-stage company. You might be a principal at a larger tech firm who’s been quietly architecting the product others will inherit. There are engineers who built the first versions of Spotify’s recommendation engine, Monzo’s core banking layer, and Deliveroo’s dispatch system, products that now feel inevitable, who started exactly where you are now: staring at a blank canvas with a hard problem and no playbook. We don’t care about the title. We care about whether you have the technical depth to design a system from first principles, the product intuition to build for real users, and the conviction to make decisions with long-term consequences when no one is looking over your shoulder. Healf is Europe's fastest-growing health platform. £100M+ revenue run-rate. 700k+ customers. A high-retention, high-margin marketplace. Strong brand and distribution. We curate the world's best wellbeing products across EAT, MOVE, MIND, and SLEEP. That's the first chapter. The next chapter is harder and more interesting. Today, wellbeing decisions are primitive. Customers guess. They follow influencers. They try products and hope. We are building the system that changes that. A personalised wellbeing intelligence engine that understands behavioural patterns, captures longitudinal health data, and builds smart AI agents that help customers solve their wellbeing needs. A closed feedback loop. A decision engine, not just a marketplace. If we get this right, we don't just sell products. We become the operating system for how the world lives well. This is a 0→1 opportunity to build a net-new business line that could drive up to £250M in annual revenue in the next three years. You will build it from scratch. Why this role is Healf At Healf, we think engineering judgment is one of the most important forms of capital allocation in the company. Every architectural decision made in the next twelve months determines what is possible in the next five years. Every hire you make changes what the platform can become. That is why we do not see this as a conventional engineering leadership role. Engineering leadership is the functional label. Defining what a next-generation wellbeing intelligence platform looks like is the real job. We are not laying down tracks. We are deciding where the train goes. Somewhere right now there is a principal engineer at a Series B health-tech company who has spent three years making the right calls quietly. Who designed the system that works. Who has said no to things that looked fast but would have cost the company two years of rework. That person probably has never heard of Healf. They wouldn't click on a LinkedIn InMail. But if someone who understood what they actually cared about reached them with the right story at the right moment, they would listen. There is also a founding engineer at a well-known consumer tech company who is twelve months past the point where the work became maintenance. Who built the thing, watched it scale, and is now ready to build the next thing. They are not looking. But they are ready. These are the people we want. And this is the role those people will take. What you’ll own → The architecture. You will design the full wellbeing intelligence stack from first principles. Backend, data, ML systems. Infrastructure capable of learning from live user interaction. The choices you make in the next six months will define what's possible in year three. You will own those choices. → The build vs buy decisions. Every platform team reaches these inflection points. You will own them with authority and with the context to make them well. → The engineering principles. Not a style guide. The actual principles that govern how your team thinks about quality, velocity, and long-term consequences. You will define what good looks like here. → The technical strategy. You will partner directly with the CTO. This is not advisory. You will have real authority over the direction of the intelligence layer and the product platform it powers. → The team. You will grow and mentor the engineers who build alongside you. Every person you bring in raises the floor. You will build the nucleus that scales wellbeing intelligence. → The product feedback loop. You will work cross-functionally with Product and Design to ship. You will build via continuous experimentation. You will be close to real users and real outcomes. What you'll deliver in the first 12 months → A production-grade intelligence layer powering personalised decisioning for hundreds of thousands of customers → A scalable data architecture designed for international growth from the start → A high-talent engineering nucleus built around your judgment → Clear product differentiation driven by intelligence, not curation alone → A platform that others in health tech study and try to replicate Why you’re Healf You have built something from zero. Not joined after product-market fit. Not inherited a working system. You architected something from the beginning and watched it scale to meaningful usage. You know what that feels like in both directions — the early ambiguity and the later scale. You have made platform-level decisions with long-term consequences. And you have lived with them long enough to know which ones you got right. You have built or integrated ML and data-driven systems in production. Not in notebooks. Not as experiments. Shipped, live, used. You have influenced technical direction beyond your immediate team. Not through authority. Through judgment that others trusted. You have operated in a high engineering bar environment where architectural thinking was respected and expected. You are not looking for the next job. You are looking for the thing worth building next. The reality This is hard. It requires speed and precision. It requires building for scale without overbuilding. It requires making good decisions in conditions of genuine ambiguity, with real consequences, and without the luxury of consensus. You will sometimes be wrong. What matters is that your judgment compounds over time and your errors get smaller as the system gets bigger. If you want to spend the next two years building something foundational that others will be building on for a decade, this is that opportunity. Show us → A system you architected from zero. What were the first principles you started from? What did you get right early that saved you later? What did you get wrong, and how did it shape the next decision? → A build vs buy decision with real stakes. What did you choose, why, and what happened? → A moment where you saw how something would break six months before it did. What did you do with that knowledge? → An engineer you hired or developed who became better than you expected. What did you see in them that the CV didn't show? → Evidence that you can work at the intersection of engineering and product. Not just clean systems. Systems that serve real users. The deal Competitive base. Meaningful equity. Direct access to leadership from day one. We ask a great deal of the people who work here. Full ownership. Genuine commitment. Everything you have, for this chapter. In return, we will give you the same: the resources to build properly, a team worth leading, and the creative authority to do work that defines your career. We have built the fastest-growing health company in Europe with a team small enough that every person in it shapes the outcome. That is still true today. The next person we hire will change the trajectory of the platform. If the most important work of your career is ahead of you, this is the place to do it.

Telecoms Engineer (Rail) – Contract Roles - 9 Contractors Required 📍 East London | ⏱ 40 hours per week | 💷 £50/hour + Overtime | 📅 Ongoing Contract We are currently seeking an experienced Telecoms Engineer to support ongoing rail infrastructure works in East London. This is a long-term contract opportunity offering consistent hours and competitive rates, with overtime available. 🔧 Key Requirements • Valid IRSE Maintainer and Fault Finder licence, • PTS certification (any restrictions must be declared in advance) with DC lines competency, • Full UK manual driving licence 🛠 Technical Experience (Minimum 3 required) Candidates must have strong experience in at least three of the following systems: • Tunnel Telephone Systems, • Networking (switches, routers, firewalls), • Telecoms cabling, • SCADA systems, • Legacy FTN systems, • GSM-R, • PAVA / PCDVA systems, • VIDs / THIDs, • Signalling control systems, • Train describers, • SSI interlocking, • ARF / ARS, • Telecoms UPS and DC rectifiers ⭐ Desirable • Background in telecommunications engineering within rail environments, • Ability to work independently and as part of a wider project team, • Strong fault-finding and maintenance capability 💼 What’s on Offer • £50 per hour, • Overtime opportunities, • 40-hour work week, • Long-term, ongoing contract, • Work on critical rail infrastructure projects If you meet the above criteria and are available for an immediate or upcoming start, we’d like to hear from you. 👉 Apply now or get in touch for more information.