1334 jobs found

Senior ICT Engineer Location: Belfast Job Type: Full-time Salary: £c45,000 per annum REED Technology are delighted to partner with a fantastic organisation who are seeking a Senior ICT Engineer to join their dynamic team. This role involves providing day-to-day support for our ICT Services Infrastructure and assisting our customers as directed by the Line Manager. The successful candidate will be responsible for a wide range of technical tasks, from design and implementation to customer support and training. Responsibilities: Design, implement, configure, and support company ICT Infrastructure & Applications. Provide customer-facing ICT solutions design and sales support. Manage technical support desk operations for company Server/Desktop/Laptop infrastructure. Oversee patching server and client side, implementation of company antivirus policy, backups, and desktop management policies for both Atlas and its customers. Install, maintain, and support deployed solutions, including internal training. Serve as the technical lead on ICT services product portfolio. Support other Engineers and contribute to the long-term development and expansion of the ICT Team. Ensure that customers receive the correct products to meet their specific requirements and understand the benefits through effective training and support. Plan and organise travel and accommodation for site visits in accordance with company procedures. Complete documentation and reporting for the installation, configuration, and commissioning of solutions. Ensure complete customer satisfaction in all aspects of work carried out. Participate in a 24-hour call-out rota and provide office-based technical support as required. Skills: Proven experience in ICT infrastructure design, implementation, and support. Strong customer service orientation and experience in a customer-facing role. Ability to manage multiple projects and tasks effectively. Excellent interpersonal and presentation skills. Familiarity with ISO9001:2015 and ISO27001:2022 standards. Full clean current motor vehicle driving license Essential criteria Degree or equivalent in an ICT or related area and current Microsoft 365 and VMware accreditations. VMware, Microsoft Server, Microsoft Exchange, Intune, Entra & SharePoint Minimum of 5 years proven experience of internal and customer facing field service, installation, configuration and maintenance of VMware, VMware clusters and Microsoft server based solutions, Microsoft Office365 & Migrations. Proven ability of solution design and customer facing technical sales support and solution design. Proven ability of incident management and fault diagnostic. Demonstrable ability to successfully receive technical training subsequently Evidence of ability to investigate issues, analyse and present options for achieving resolution. Desirable Deployment experience of Microsoft and VMware based solutions Experience with VSAN, VEEAM, Microsoft Hyper-V, SAN's Current VMware, Microsoft & VEEAM accreditations. Benefits: Competitive salary and benefits package. Opportunities for professional growth and development. Supportive team environment. Participation in comprehensive training and development programs. To apply for the Senior ICT Engineer position, please submit your CV and a cover letter detailing your relevant experience and why you are interested in this role.

Job title: Account Manager Location: Leicestershire / Nottingham (Office-Based) Salary: 50,000 - 55,000 DOE Job type: Full time Benefits: Discretionary Bonus Car Allowance Phone Laptop Opportunity to manage and grow a flagship account with significant revenue potential Our client is looking for a confident and commercially minded Account Manager to take ownership of a high-value, fast-growing key account currently generating 6 million in revenue, with a clear objective to scale this to 10 million. You will be the central point of contact for a demanding, fast-paced client, requiring both strategic thinking and strong interpersonal skills. You'll need to be equally comfortable discussing technical feasibility and manufacturing processes. The Role Manage and grow a high-value, high-demand client account Build strong, personable relationships while maintaining commercial focus Act as the bridge between design, technical development, and manufacturing teams Confidently advise clients on feasibility, offering alternative solutions where required Drive account growth from 6M to 10M through strategic development and opportunity identification Work closely with internal teams to ensure seamless delivery from concept through to production What We're Looking For Proven experience in a commercial or account management role Strong understanding of the full product lifecycle: design, technical development, and manufacturing Confidence to challenge clients constructively and suggest viable alternatives Ability to thrive in a fast-paced, demanding environment Excellent communication skills with a natural ability to build relationships A balance of professionalism and personality-credible, but approachable

Technical Author - Technical Publications (Hydroelectric Power Generation) North Wales (Hybrid / Mostly Remote with occasional Site Visits) Salary: Up to £65,000 basic (DOE) 12-month contract (strong likelihood of extension to end of 2028) Outsource UK are recruiting for an experienced Technical Lead (Technical Publications) to join an exciting new technical documentation project supporting two recently refurbished hydroelectric power stations in North Wales. This is an excellent opportunity for an experienced technical publications professional with a strong engineering background to lead the creation and revision of Maintenance Instructions (MIs), ensuring all deliverables align with customer specifications, quality standards and project KPIs. The role will be mostly home-based, with regular visits to customer site in North Wales. You will work closely with the Project Manager, technical authoring and illustration teams, as well as the customer's engineering and project teams. Key Responsibilities Act as the operational and day-to-day technical expert and key point of contact for the project team Identify the need for new and revised Maintenance Instructions (MIs) Scope, define and structure tasks ready for production by technical authoring teams Author and review Maintenance Instructions in line with customer CMS requirements Support the Project Manager in managing a team of technical authors and illustrators Resolve technical queries and liaise with key customer stakeholders Monitor deliverables to ensure quality standards and KPIs are achieved Review project schedules and support delivery against key milestones Develop and implement improved processes, training and production methods Support development strategies to ensure continuity of capability across the project lifecycle Skills & Experience Required Essential: Proven experience creating and compiling Maintenance Instructions (MIs) in a related field (ideally power generation) Engineering background (academic and/or practical) Experience leading teams in a technical publications environment Strong experience working with structured data and Content Management Systems (CMS) Excellent written and verbal communication skills, with strong English language capability Strong stakeholder management and conflict resolution skills Proactive, adaptable and resourceful approach Apply Now If you're an experienced Technical Publications Lead with strong MI authoring expertise and are looking for a long-term opportunity in the power generation sector, apply today through Outsource UK. Inclusion Statement: Outsource UK is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. You'll receive fair consideration for your application regardless of your race, religion or belief, gender, gender identity or expression, sex, sexual orientation, disability, marriage and civil partnership, pregnancy and maternity, or age. We're proud Corporate Members of the Hidden Disabilities Sunflower. If you need any adjustments at any stage - from application to interview or in your new role - please let us know. We're here to support you every step of the way. We believe diversity of thought and background makes us stronger, and we welcome applications from people of all backgrounds and life experiences.

Mechanical Design Engineer Permanent role Based in Ampthill Offering circa 50,000 Do you have experience using CREO? Do you have experience using Windchill? Do you want to work with an industry-leading company? If your answers are yes to these, then this could be the role for you! As the Mechanical Design Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry! Due to the nature of what you will be working on, you will be required to obtain high level MOD security clearance. You will be involved in: Use requirements specifications and a design brief to develop innovative yet robust design solutions Use CREO Parametric CAD to produce both concept and detail designs Produce supporting calculations and analysis to justify design decisions Work with SMEs, Users, and Design Authorities to develop concept design solutions Work with CAD engineers to enable the production of drawings and design data pack Create and present Design Review data packs to Senior Engineers and Governors Assist with the production of prototypes and confirm designs with manufacturing/purchasing teams Perform physical testing and design proving activities on engineering prototypes Ensure components and assemblies adhere to applicable, industry, and business standards Your skillset may include: Experience of working within the Defence, Aerospace, or Space domain Experience in the design and development of mechanical sub-systems and components Experience in the design and specification of electrical interfaces for sub-systems and components Understanding of current materials, treatments, and finishing technology for use in Defence, Aerospace, and Space products Working knowledge of CREO CAD software and experience using the tool to produce complex parametric designs Able to use Windchill PDM system Knowledge of complex mechanism design and principles Ability to perform basic structural and kinematic calculations If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Mechanical Design Engineer Permanent role Based in Ampthill Offering circa 50,000 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.

Configuration Engineer Yeovil 12-Month Contract Paying up to 25.84p/h (Inside IR35) Key Responsibilities Drive the achievement of configuration deliverables (configuration management plans and other configuration documentation) Manage and monitor change requests and change collectors driving the timely progression from point of initiation through to operational implementation Deliver timely Configuration Management reports & management information, including configuration status reports, KPIs and trackers in line with a defined frequency Act as the company point of contact at internal and external customer meetings Provide configuration technical support to functional areas, to control the modification state of the product and its support equipment Essential Skills & Experience Knowledge of, or experience in, configuration management principles and processes Ability to prioritise and deliver your own workload Good interpersonal, facilitation and problem-solving skills Good communication skills - Verbal, Written, Electronic High concern for detail and quality High degree of IT literacy (Excel, Power BI) Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Our client, a large Aerospace and Defence supplier is looking for a Project Manager to join them on a contract basis at their site in Yeovil. Due to the nature of the role, applicants must be willing to undergo basic security checks ahead of starting. Contract running until May 2027. 35.11 p/h Umbrella, inside IR35. Fully onsite in Yeovil. The Project Manager is responsible for leading and managing the project team with responsibility and authority from the Programme Manager or Sponsor on a day to day basis. Delivering the project to schedule, cost and quality. Interfacing between the project and functional business areas to achieve the overall Project deliverables. Demonstrate good communication and encouragement across functional business areas, for change. Effective co-ordination of the project and the inter dependencies into the overall Programme or as an independent small project, including resolution or mitigation of any risks and issues arising during the project. Supported by the Programme Management office. Ensuring all activities are carried out in accordance with policies, and processes. Ensuring delivery of contract life cycle relevant to accountable project. Managing and production of the required deliverables proactively monitoring its progress, resolving issues and initiating appropriate corrective action to achieve quality and schedule within budget. Planning, designing and monitoring the project, preparing any project plans as required. Identifying and obtaining support and advice required for the management, planning and control of the project. Managing the projects budget on behalf of the company, monitoring expenditure and costs against delivered and realised benefits as the project progresses. Manage Authorisations in line with level of accountability. Manage Profitability in line with level of accountability. Identify, capture and manage risks to the project, including the development of contingency plan, in accordance with policy and process. Liaison with the programme management (if part of a programme) and related projects to ensure alignment and integration. Engagement with IPTs, Customers and vendors in line with level of accountability. Applying change control and configuration management processes. Liaise with project assurance representatives to assure the overall direction and integrity of the project. Conduct project reviews and highlighting actions / recommendations to appropriate business area, ensuring good communication links. Managing project administration. Reporting the progress of the programme at regular intervals to the appropriate level of management both internally and to the customer. Chair Internal Configuration Change Boards (CCB) and Configuration Implementation Boards (CIB) as required, supported by Configuration Management. TECHNICAL SKILLS Ability to develop and maintain an agreed project plan and detailed stage plans Ability to direct, manage and motivate the project team. Ability to make decisions with limited facts. Project management approach to the specific requirements of the project, including good knowledge of techniques for planning, monitoring and controlling projects Understand and apply business case and risk management processes.

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 skills A 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 : 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 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.

Operations Manager £80,000 per annum Permanent opportunity in Wrexham. Hours: M-F working office hours. Additional benefits: Company car Company bonus (performance related) Medical insurance Enhanced pension Healthcare cash plan Critical illness insurance Overview We are partnering with a forward-thinking organisation operating within a heavy industrial environment to support the appointment of an Operations Manager. Reporting directly to the Managing Director, the successful candidate will play a pivotal role in aligning maintenance, production, and wider business functions-driving safe, efficient, and reliable operations across the site. This is a hands-on leadership position that blends day-to-day operational control with long-term strategic development and team growth. Key Responsibilities: Lead safe, efficient, and reliable site operations, aligning maintenance and production Oversee asset performance and implement proactive, data-driven maintenance strategies Drive continuous improvement to enhance reliability, productivity, and reduce downtime Manage production delivery to meet output, quality, and safety standards Optimise use of labour, materials, and resources to control costs Monitor performance metrics and implement improvements Provide strong leadership, coaching, and development for teams Ensure clear communication across all stakeholders, especially in high-pressure situations Manage budgets and allocate resources effectively Contribute to strategic planning and long-term operational improvements Act as a steady, dependable presence within the leadership team Operations Manager requirements: Practical, structured leader with strong technical expertise and sound judgement Confident decision-maker in fast-paced, operational environments Able to translate strategy into clear, repeatable actions Strong communicator across all levels of the business Uses data and systems to drive performance and improvements Passionate about developing people and building effective teams Focused on sustainable, long-term solutions Experience & Background Proven experience in maintenance, reliability, or operations within industrial/manufacturing settings Strong hands-on technical knowledge and credibility Track record of improving maintenance systems and processes Confident in 24/7 or continuous operations (with on call as required) Flexible, collaborative leadership style suited to team-based environments What's on Offer A genuine opportunity to influence and improve operational performance. Autonomy to build and refine systems, processes, and standards. A supportive leadership team that values clarity, consistency, and long-term thinking. A culture focused on quality, sustainability, and doing things the right way. Friendly Note : If this job is not for you but you are looking for a new opportunity, please contact us for a confidential discussion on your career. To Apply Travail Employment Group is operating as an Employment Agency. Once you click to apply for this job, your application will be immediately received by Travail Employment Group. If your application is successful, a consultant will be in contact with you within the next 7 days. All candidates registering with Travail Employment Group will need to provide proof of identity, and evidence of any experience, training and qualifications our client considers necessary for this position. CWOIND01

Sales Operations Manager - Diving Equipment Location: Huddersfield Salary: 33,000 - 37,000 Depending on Experience + Bonus Structure Hours: Full Time 37.5 Hours per Week; Monday - Friday 9am - 5pm Stafflex are working with a specialist diving equipment supplier who are seeking a commercially driven and operationally strong Sales Operations Manager to lead the retail and distribution activities. This is a hands-on role, overseeing daily operations, inventory control, order fulfilment and supplier coordination, while actively driving sales performance and revenue growth. You will be responsible for the full customer journey from first enquiry through to after-sales support and service. The role also includes responsibility for overseeing dry suit repairs, ensuring high technical standards, efficient turnaround times and clear communication with customers. Being involved in a smaller operation, you will coach, support and manage performance to deliver excellent customer service and meeting sales targets. This position would suit a proactive supervisor or manager with strong organisational skills and you must have a genuine interest or background in diving equipment and technical products. Key Responsibilities Supervise day to day retail and warehouse operations Oversee order fulfilment, shipping, receiving and inventory accuracy Monitor stock levels and coordinate replenishment with suppliers Improve operational workflows to increase accuracy, efficiency and reduce costs Track KPIS including inventory turnover, order accuracy and fulfilment times Drive sales to meet or exceed revenue targets Active selling and customer engagement Develop and implement sales strategies, promotions and up selling initiatives Monitor key sales metrics including conversion rate, ATV and margin Identify opportunities for cross selling Support B2B sales with dive centres, instructors and clubs Manage purchase orders and supplier relationships Analyse sales trends to forecast demand and optimise stock Coordinate product launches and new equipment introductions Ensure excellent customer service across retail and online channels Handle returns and warranty claims Build relationships with local dive communities and instructors Generate sales leads and identify partnership opportunities Ensure compliance with regulation around compressed gas cylinders and service standards Maintain H&S standards within retail and warehouse environments Key Requirements Knowledge of diving equipment, dry suits and accessories 3+ Years' experience in sales strategy and execution 3+ Years' experience in operations or supervisory roles Proven track record of meeting or exceeding sales targets Experience with stock management systems ERP/MRP Customer relationship management skills Strong commercial awareness including margins and profitability Full UK Driving license If you're mad about diving and have proven experience within a senior sales/operation function, this is a great rare opportunity to shape and grow a specialist business. Performance truly drives opportunity as the company grows, so do your rewards. Please apply now!

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 skills A 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 : 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 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 skills A 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 : 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 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 skills A 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 : 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 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 skills A 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 : 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 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.

Xpertex Xpertex, part of the larger Exponential-e Group, are an information and data cyber security company that have been providing high-security services and solutions to the public and private sector since 2006. With over 15 years' experience Xpertex is a leader in cyber security, solving complex security problems across Government, Industry and Commerce. Through our experience, knowledge and expertise we have developed trusted relationships with high profile clients; giving them the best solutions that deliver high security Networks, enhanced Cyber Security and quality Information Assurance. People are the cornerstone of everything we do and Xpertex offers fantastic career opportunities for those motivated to become experts in their field. If you are a passionate individual and enjoy the challenge of a fun, fast-paced work environment connect with us today. Job Description Overall purpose of the job: The role provides direct DevOps support and business consulting to Xpertex customers, based 5 days a week on customer site. The role sits within a DevOps Managed Service team offering IT Development, IT Security, IT Operations as well as assurance to Xpertex's customer systems. The post-holder will be skilled and experienced professional operating at the SFIA band specified The post-holder will be an active contributor to the development of the lines of service to which it relates for the reporting period Key responsibilities for this job: Functional, Technical, support and optimisation of the technical systems within the Managed Service Technical Consultancy on multiple customer engagements at customer sites and remote support Development, Test & Release and Support of customer products Management of all planned outages and deployments of new services, software or capabilities - this includes upgrades, major changes and periods of special interest Engage with business development stakeholders to support growth in the relevant line-of-service. Provide subject-matter-expertise in 2nd and 3rd Line support in response to queries received by peers and colleagues or managers Producing project artefacts, technical designs and support documentation that is reviewed, managed and stored appropriately in line with best practice, e.g. Prince2, TOGAF, ISO, AGILE etc. Attendance at Daily Scrum or checkpoint meetings - including any associated documentation, managing incidents, escalations or upcoming upgrades Providing progress updates to relevant stakeholders including identification of risks and issues. Researching market approaches To hold active security clearance Knowledge and experience required: This role will require you to hold an active high level of DV security clearance prior to starting the role Experience working in DevOps related engagements or related field Knowledge of information technology practices and products to provide objective and credible opinions and guidance Experience of Linux/RHEL v6x, 7x and 8x JavaScript, SQL, Java, Python and Unix coding Scripting knowledge AGILE JIRA Communicate with impact and empathy and adapt style to suit the situation OpenText Service Manager and/or ServiceNow report creation knowledge Ability to provide written reports to a high standard with the appropriate caveats and guidance (internal and external facing material) AWS infrastructure support and migration experience Desirable knowledge and experience: AWS accreditation Knowledge of COTS products (including but not limited to; Elasticsearch, NiFi, Rabbit, Kafka, MongoDB, Hadoop, Ansible, Git and Kubernetes) Development of dashboards for monitoring and alerting through Grafana, Splunk, Prometheus and OpenText Om and Ops Bridge On prem to cloud application migration Full, current UK Driving license and provision of vehicle for business purposes Our People Our people are what makes Exponential-e Group the company it is today. This year's employee survey highlighted that 81% of employees who took the survey, would recommend a friend to work for our organisation. Learning and development are fundamental parts of daily life at Exponential-e. From their first day at the company, everyone is provided ample opportunities to develop their skills and broaden their horizons, with our own L&D team running a range of bespoke courses, based on the latest innovations and challenges across the digital landscape. Exponential-e Group is committed to providing equal opportunities in employment and treating all employees with respect and dignity. The company respects and values the diversity of its staff, striving to maintain an environment where there is opportunity for everyone to feel valued, their talents to be utilised and for both personal and organisational aspirations to be met. Every employee plays a vital role in helping to create an inclusive working environment by understanding and harnessing difference in a positive way.

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 skills A 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 : 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 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 skills A 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 : 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 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 skills A 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 : 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 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.

Asset Manager (Aviation / Landing Gear)I'm currently recruiting on behalf of my client, a well-established organisation within the aviation MRO sector, who are looking to appoint an experienced Asset Manager to join their growing team.This is a commercially focused role, ideal for someone with a strong background in aviation asset management, technical sales, or engineering, who thrives on identifying opportunities and driving revenue growth.The RoleThe primary focus of this position is to drive commercial success by identifying, pursuing, and securing new revenue opportunities through asset trading and tailored solution projects.You'll act as a key link between Sales, Procurement, and Fulfilment teams, providing market intelligence and ensuring visibility of global landing gear asset availability. You'll also play a central role in optimising the asset pool to maximise availability, minimise costs, and improve return on investment while supporting MRO customer requirements.Key ResponsibilitiesBuild strong relationships with internal fulfilment teams and stakeholders to monitor and support asset pool activitiesManage and optimise asset lease contracts and overall asset portfolioDevelop and maintain relationships with suppliers, airlines, and trading partnersNegotiate and execute contracts for asset purchases, leases, exchanges, and salesLead and manage asset solution projects to align supply with demandCoordinate asset documentation checks to ensure compliance and suitabilityCollaborate closely with procurement to align on pipeline, transactions, and requirementsProduce regular financial and performance reports on asset typesMaintain strong market awareness and share insights across the businessMonitor KPIs and maintain full operational and financial oversight of assigned productsDrive continuous improvement and ensure compliance with aviation regulations and internal processesManage and grow a portfolio of customer and supplier accounts through proactive networkingAbout YouDegree/Qualification (or equivalent experience) in Asset Management, Aviation Management, Aircraft Engineering, or similarProven experience within the aviation sector (asset management, engineering, or technical sales)Strong commercial awareness, ideally within an MRO environmentConfident negotiator with experience managing contracts and supplier/customer relationshipsHighly organised with excellent project management skillsStrong communication skills (written and verbal)Entrepreneurial mindset with a proactive, opportunity-driven approachAbility to work independently and manage multiple prioritiesStrong networking and relationship-building capabilitiesDesirable:Existing network within the aviation MRO sectorKnowledge of aviation contract law or legislationExperience with SAP ERP systemsAdditional languagesWhat's on OfferHybrid working model (After probation)Opportunity to work in a dynamic, commercially driven environmentInternational travel to meet clients, suppliers, and attend industry eventsThe chance to play a key role in driving business growth and strategyAdditional InformationApplicants must have the right to live and work in the UK without restrictionOccasional overtime may be required based on business needsMandatory training will be providedSalary from £38,000 per annumFlexi time day shift Travel perks If you feel you are suitable please apply now or contact Callum Withey at Shorterm group for more information.