A sector leading manufacturing company who have ambitious expansion plans, have a new vacancy for a Depuy Financial Controller to join the team. Offering a defined career development opportunity, candidates are sought with a good background in financial accounting with experience working in a fast-paced environment. The Role Oversee daily accounting operations, including accounts payable, accounts receivable and general ledger. Prepare monthly management accounts. Prepare quarterly VAT returns. Monitor cash flow. Ensure compliance with statutory requirements and internal policies. Lead audits (internal and external) and liaise with auditors. Develop and improve financial processes, systems and controls. Supervise and mentor finance team members. The Person Professional qualification such as ACA, ACCA, or CIMA. Proven experience in a senior finance role. Previous experience working in manufacturing, production or engineering. Strong knowledge of financial reporting standards and regulations. Excellent analytical and problem-solving skills. Proficiency in accounting software and Microsoft Excel. Strong leadership and communication skills.
May 20, 2026
Full time
A sector leading manufacturing company who have ambitious expansion plans, have a new vacancy for a Depuy Financial Controller to join the team. Offering a defined career development opportunity, candidates are sought with a good background in financial accounting with experience working in a fast-paced environment. The Role Oversee daily accounting operations, including accounts payable, accounts receivable and general ledger. Prepare monthly management accounts. Prepare quarterly VAT returns. Monitor cash flow. Ensure compliance with statutory requirements and internal policies. Lead audits (internal and external) and liaise with auditors. Develop and improve financial processes, systems and controls. Supervise and mentor finance team members. The Person Professional qualification such as ACA, ACCA, or CIMA. Proven experience in a senior finance role. Previous experience working in manufacturing, production or engineering. Strong knowledge of financial reporting standards and regulations. Excellent analytical and problem-solving skills. Proficiency in accounting software and Microsoft Excel. Strong leadership and communication skills.
An excellent opportunity has arisen for an Accounts Assistant to join a well-established and growing business based in Westbury. This role would suit an experienced Transactional Finance professional looking for a varied, hands-on position within a supportive team environment, where you can take ownership of key processes and continue developing your skills. The business is a long-standing, specialist engineering and manufacturing group that forms part of a larger international organisation. With decades of industry experience and a reputation for quality and innovation, the company operates across multiple sectors and continues to invest in its people, systems, and growth. The Westbury site is a close-knit team, offering a collaborative and stable working environment. Reporting to the Group Financial Controller, the Accounts Assistant will play a key role in supporting the day-to-day finance function across multiple group entities. This is a broad and varied position, combining core transactional duties with exposure to month-end processes and wider finance responsibilities. Responsibilities Maintain and manage the purchase ledger, sales ledger, and general ledger Process supplier invoices, payments, and credit notes accurately Reconcile supplier statements and resolve discrepancies Post customer receipts and assist with credit control activities Perform regular bank reconciliations, including multi-currency accounts Prepare and post journals, accruals, and prepayments Support month-end and year-end close processes Process staff expenses and ad-hoc payments Assist with reporting and provide support to the wider finance team as required Provide occasional support to payroll and administrative processes Why apply? This is a fantastic opportunity to join a stable, well-established business where you'll be part of a small, supportive finance team and gain exposure to a wide range of accounting responsibilities. The role offers: Annual bonus scheme Study support and professional development 25 days holiday + bank holidays + birthday leave Pension scheme Health and wellbeing support Early finish every Friday The business is keen to find someone who wants to grow with the company and become a valued, long-term member of the team.
May 20, 2026
Full time
An excellent opportunity has arisen for an Accounts Assistant to join a well-established and growing business based in Westbury. This role would suit an experienced Transactional Finance professional looking for a varied, hands-on position within a supportive team environment, where you can take ownership of key processes and continue developing your skills. The business is a long-standing, specialist engineering and manufacturing group that forms part of a larger international organisation. With decades of industry experience and a reputation for quality and innovation, the company operates across multiple sectors and continues to invest in its people, systems, and growth. The Westbury site is a close-knit team, offering a collaborative and stable working environment. Reporting to the Group Financial Controller, the Accounts Assistant will play a key role in supporting the day-to-day finance function across multiple group entities. This is a broad and varied position, combining core transactional duties with exposure to month-end processes and wider finance responsibilities. Responsibilities Maintain and manage the purchase ledger, sales ledger, and general ledger Process supplier invoices, payments, and credit notes accurately Reconcile supplier statements and resolve discrepancies Post customer receipts and assist with credit control activities Perform regular bank reconciliations, including multi-currency accounts Prepare and post journals, accruals, and prepayments Support month-end and year-end close processes Process staff expenses and ad-hoc payments Assist with reporting and provide support to the wider finance team as required Provide occasional support to payroll and administrative processes Why apply? This is a fantastic opportunity to join a stable, well-established business where you'll be part of a small, supportive finance team and gain exposure to a wide range of accounting responsibilities. The role offers: Annual bonus scheme Study support and professional development 25 days holiday + bank holidays + birthday leave Pension scheme Health and wellbeing support Early finish every Friday The business is keen to find someone who wants to grow with the company and become a valued, long-term member of the team.
Branta Recruitment Ltd
Newcastle Upon Tyne, Tyne And Wear
Branta Recruitment are recruiting for an Internal Recruiter to join a facilities management company in Newcastle upon Tyne. This is a strategic role designed to industrialize the hiring process, reduce agency dependency, and work as a professional peer to hiring managers. We are looking for an individual who can build a predictable, scalable hiring engine to support an expanding project pipeline. Job priorities: Quality of Candidate: Prioritizing the "right" people to ensure long-term retention and performance. Reduce Hiring Manager Burden: Taking full ownership of the recruitment lifecycle so leadership can focus on operations. Volume & Speed: Meeting headcount demands for technical and site-based roles efficiently. Cost Control: Managing the supply chain and reducing overall cost-per-hire. Key Responsibilities Sourcing & Technical Pipeline Building Proactively source high-demand technical roles, including M&E Engineers, Supervisors, and Project Managers. Utilize Boolean searches and talent mapping to find "always-needed" talent. Build warm pipelines to shift from reactive advertising to proactive hiring. Process Management & Standardisation Define business needs through structured intake meetings with managers. Produce standardised, high-quality Job Descriptions and interview packs. Build a repeatable recruiting process from briefing through to onboarding. Stakeholder Partnership & Strategic Input Work as a true partner to hiring managers, providing market insights and salary benchmarking. Confidently "push back" on unrealistic expectations to protect the quality of the hiring process. Coach managers on interviewing best practices and selection techniques. Supply Chain & Employer Branding Act as the gatekeeper for the Preferred Supplier List (PSL), managing agency engagement. Implement and manage Applicant Tracking Systems (ATS) to improve data visibility. Strengthen the employer brand via social presence and consistent candidate communication. The Package & KPIs Basic Salary: 40,000. Commission scheme, linked to specific performance metrics TBC KPIs: Your success will be measured on Number of Roles Filled, Time-to-Hire, and Candidate Retention. About You You are a recruiter who understands that cost and quality are driven by a well-defined process. You have the confidence to manage a wide scope of work, the ideas to build a hiring engine from scratch, and the professional maturity to work directly with senior managers to bring the right people into the business. Apply online or contact Astrid Camacho for a confidential conversation.
May 20, 2026
Full time
Branta Recruitment are recruiting for an Internal Recruiter to join a facilities management company in Newcastle upon Tyne. This is a strategic role designed to industrialize the hiring process, reduce agency dependency, and work as a professional peer to hiring managers. We are looking for an individual who can build a predictable, scalable hiring engine to support an expanding project pipeline. Job priorities: Quality of Candidate: Prioritizing the "right" people to ensure long-term retention and performance. Reduce Hiring Manager Burden: Taking full ownership of the recruitment lifecycle so leadership can focus on operations. Volume & Speed: Meeting headcount demands for technical and site-based roles efficiently. Cost Control: Managing the supply chain and reducing overall cost-per-hire. Key Responsibilities Sourcing & Technical Pipeline Building Proactively source high-demand technical roles, including M&E Engineers, Supervisors, and Project Managers. Utilize Boolean searches and talent mapping to find "always-needed" talent. Build warm pipelines to shift from reactive advertising to proactive hiring. Process Management & Standardisation Define business needs through structured intake meetings with managers. Produce standardised, high-quality Job Descriptions and interview packs. Build a repeatable recruiting process from briefing through to onboarding. Stakeholder Partnership & Strategic Input Work as a true partner to hiring managers, providing market insights and salary benchmarking. Confidently "push back" on unrealistic expectations to protect the quality of the hiring process. Coach managers on interviewing best practices and selection techniques. Supply Chain & Employer Branding Act as the gatekeeper for the Preferred Supplier List (PSL), managing agency engagement. Implement and manage Applicant Tracking Systems (ATS) to improve data visibility. Strengthen the employer brand via social presence and consistent candidate communication. The Package & KPIs Basic Salary: 40,000. Commission scheme, linked to specific performance metrics TBC KPIs: Your success will be measured on Number of Roles Filled, Time-to-Hire, and Candidate Retention. About You You are a recruiter who understands that cost and quality are driven by a well-defined process. You have the confidence to manage a wide scope of work, the ideas to build a hiring engine from scratch, and the professional maturity to work directly with senior managers to bring the right people into the business. Apply online or contact Astrid Camacho for a confidential conversation.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Financial Controller Bridgwater - 1 day hybrid per week Competitive salary depending on experience Are you ready to take the reins of finance in a fast growing manufacturing business? hawk3 talent solutions are looking for a hands on Financial Controller who thrives on numbers, strategy, and operational insight to help shape the next chapter of our client's growth story. This is not a passive accounts role. You will be at the heart of the business, working closely with senior leadership across Operations, Sales, Procurement, and Production to drive financial visibility, operational efficiency, and scalable growth. Why this role is exciting: Real impact: Influence commercial decision making and directly shape the long term profitability of a scaling business. Operational variety: Combine hands on finance with operational insight in a technically complex manufacturing environment. Leadership & progression: Mentor and develop the finance team, with clear progression potential towards Finance Director in line with business growth. Key Responsibilities: Produce accurate monthly management accounts, forecasts, and cashflow projections. Maintain tight control of P&L, balance sheet, and working capital. Analyse production efficiencies, labour recovery, inventory, and supplier spend. Drive departmental budgeting and provide real-time commercial analysis. Support ERP/MRP integration and ensure AS9100 financial compliance. Lead and mentor finance team members, developing scalable reporting systems. What you bring: Proven Financial Controller or Senior Finance Manager experience, ideally in manufacturing or engineering. Strong commercial, analytical, and operational finance skills. Advanced budgeting, forecasting, and cashflow management expertise. Experience with ERP/MRP systems and a keen eye for process improvement. Professional qualifications (CIMA, ACCA, ACA) preferred but not essential. What's in it for you: Salary up to £75K depending on experience, reflecting the strategic impact of the role. Clear career progression to Finance Director as the business grows. Opportunity to shape financial systems and decision making in a fast growing, innovative environment. 20 days holiday + BH + 3/5 days over Christmas shutdown This is your chance to join a business where finance is at the core of growth, and your insight will make a tangible difference. If you thrive in a hands on, operationally connected finance role, this is the perfect opportunity to step up. Closing date 30th June 2026
May 20, 2026
Full time
Financial Controller Bridgwater - 1 day hybrid per week Competitive salary depending on experience Are you ready to take the reins of finance in a fast growing manufacturing business? hawk3 talent solutions are looking for a hands on Financial Controller who thrives on numbers, strategy, and operational insight to help shape the next chapter of our client's growth story. This is not a passive accounts role. You will be at the heart of the business, working closely with senior leadership across Operations, Sales, Procurement, and Production to drive financial visibility, operational efficiency, and scalable growth. Why this role is exciting: Real impact: Influence commercial decision making and directly shape the long term profitability of a scaling business. Operational variety: Combine hands on finance with operational insight in a technically complex manufacturing environment. Leadership & progression: Mentor and develop the finance team, with clear progression potential towards Finance Director in line with business growth. Key Responsibilities: Produce accurate monthly management accounts, forecasts, and cashflow projections. Maintain tight control of P&L, balance sheet, and working capital. Analyse production efficiencies, labour recovery, inventory, and supplier spend. Drive departmental budgeting and provide real-time commercial analysis. Support ERP/MRP integration and ensure AS9100 financial compliance. Lead and mentor finance team members, developing scalable reporting systems. What you bring: Proven Financial Controller or Senior Finance Manager experience, ideally in manufacturing or engineering. Strong commercial, analytical, and operational finance skills. Advanced budgeting, forecasting, and cashflow management expertise. Experience with ERP/MRP systems and a keen eye for process improvement. Professional qualifications (CIMA, ACCA, ACA) preferred but not essential. What's in it for you: Salary up to £75K depending on experience, reflecting the strategic impact of the role. Clear career progression to Finance Director as the business grows. Opportunity to shape financial systems and decision making in a fast growing, innovative environment. 20 days holiday + BH + 3/5 days over Christmas shutdown This is your chance to join a business where finance is at the core of growth, and your insight will make a tangible difference. If you thrive in a hands on, operationally connected finance role, this is the perfect opportunity to step up. Closing date 30th June 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Principal Civil Engineer Location: Fareham, Hampshire Hours: Monday to Friday, Flexible Opportunity with Core Hours Required Salary: Competitive Holiday: 32 days including bank holidays, Increasing with length of service. Sector: Civil Engineering Our client is a well-established, multi-disciplinary consultancy specialising in transport planning, travel planning, and civil and structural engineering services. The business has grown steadily in recent years and now operates across the UK, supporting both public and private sector clients on a wide range of development and infrastructure projects. They are known for delivering practical, high-quality solutions from early feasibility through to detailed design and project delivery, with a strong emphasis on collaboration and client-focused outcomes. With an experienced and technically strong team, the company provides end-to-end support, combining commercial awareness with in-depth knowledge of current legislation and industry standards. Our client places a strong emphasis on communication, long-term relationships, and continuous improvement, underpinned by their core values of customer focus, openness, results, and excellence. They have built a solid reputation for delivering reliable and innovative engineering solutions that enable successful development across a diverse portfolio of projects nationwide. Position Duties Lead and manage civil engineering projects across drainage, highways, and external works from planning through to construction Oversee and coordinate design teams, including mentoring, appraising, and developing junior staff Plan, allocate, and control resources to ensure efficient project delivery and team performance Produce and review engineering designs, reports, and drawings in line with relevant standards and regulations Collaborate with clients, local authorities, developers, architects, and sub-consultants Manage project budgets, costs, and fee proposals while maintaining commercial awareness Ensure compliance with quality management systems, best practice, and continuous improvement processes Identify and manage design risks, ensuring health, safety, and sustainability are embedded in all projects Attend client meetings and site visits, maintaining strong professional relationships and communication Support business development through client engagement, marketing input, and promotion of the company's services Position Requirements Chartered Engineer (CEng) or Incorporated Engineer (IEng) working towards CEng with the Institution of Civil Engineers A degree or HND in Civil Engineering Background in collaborating with local authorities, developers, and architects on the civil engineering aspects of various schemes Consultancy experience is essential for this position Project management experience in civil engineering, covering schemes that integrate drainage, external works, and highways elements Experience with the design of on- and off-site highway features, in accordance with relevant standards and guidance (e.g. Design Manual for Roads and Bridges, Manual for Streets) Previous experience in delivering drainage designs, highway layouts, and S278/S38 schemes Skilled in the use of AutoCAD and Site 3D, or equivalent 3D design software A thorough understanding of Sewers for Adoption, building regulations, and the SuDS Manual Experience in line management, including conducting appraisals, identifying training requirements, and supporting the performance of junior team members Position Remuneration 5-hour workdays with flexible working hours, with a core hour requirement allowing for lifestyle and work life balance 24 days annual leave, increasing with length of service plus 8 bank holidays Day off on your birthday if it falls on a working day One community or charity day a year to allow you to support the person projects you love Salary sacrifice scheme with the opportunity to purchase or sell annual leave days. Christmas shut down Quarterly and yearly bonus schemes, offering the potential to earn more Private healthcare upon completion of probation period Bike to work scheme Streamline Search is a technical recruitment agency based in Chichester, West Sussex operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application.
May 20, 2026
Full time
Principal Civil Engineer Location: Fareham, Hampshire Hours: Monday to Friday, Flexible Opportunity with Core Hours Required Salary: Competitive Holiday: 32 days including bank holidays, Increasing with length of service. Sector: Civil Engineering Our client is a well-established, multi-disciplinary consultancy specialising in transport planning, travel planning, and civil and structural engineering services. The business has grown steadily in recent years and now operates across the UK, supporting both public and private sector clients on a wide range of development and infrastructure projects. They are known for delivering practical, high-quality solutions from early feasibility through to detailed design and project delivery, with a strong emphasis on collaboration and client-focused outcomes. With an experienced and technically strong team, the company provides end-to-end support, combining commercial awareness with in-depth knowledge of current legislation and industry standards. Our client places a strong emphasis on communication, long-term relationships, and continuous improvement, underpinned by their core values of customer focus, openness, results, and excellence. They have built a solid reputation for delivering reliable and innovative engineering solutions that enable successful development across a diverse portfolio of projects nationwide. Position Duties Lead and manage civil engineering projects across drainage, highways, and external works from planning through to construction Oversee and coordinate design teams, including mentoring, appraising, and developing junior staff Plan, allocate, and control resources to ensure efficient project delivery and team performance Produce and review engineering designs, reports, and drawings in line with relevant standards and regulations Collaborate with clients, local authorities, developers, architects, and sub-consultants Manage project budgets, costs, and fee proposals while maintaining commercial awareness Ensure compliance with quality management systems, best practice, and continuous improvement processes Identify and manage design risks, ensuring health, safety, and sustainability are embedded in all projects Attend client meetings and site visits, maintaining strong professional relationships and communication Support business development through client engagement, marketing input, and promotion of the company's services Position Requirements Chartered Engineer (CEng) or Incorporated Engineer (IEng) working towards CEng with the Institution of Civil Engineers A degree or HND in Civil Engineering Background in collaborating with local authorities, developers, and architects on the civil engineering aspects of various schemes Consultancy experience is essential for this position Project management experience in civil engineering, covering schemes that integrate drainage, external works, and highways elements Experience with the design of on- and off-site highway features, in accordance with relevant standards and guidance (e.g. Design Manual for Roads and Bridges, Manual for Streets) Previous experience in delivering drainage designs, highway layouts, and S278/S38 schemes Skilled in the use of AutoCAD and Site 3D, or equivalent 3D design software A thorough understanding of Sewers for Adoption, building regulations, and the SuDS Manual Experience in line management, including conducting appraisals, identifying training requirements, and supporting the performance of junior team members Position Remuneration 5-hour workdays with flexible working hours, with a core hour requirement allowing for lifestyle and work life balance 24 days annual leave, increasing with length of service plus 8 bank holidays Day off on your birthday if it falls on a working day One community or charity day a year to allow you to support the person projects you love Salary sacrifice scheme with the opportunity to purchase or sell annual leave days. Christmas shut down Quarterly and yearly bonus schemes, offering the potential to earn more Private healthcare upon completion of probation period Bike to work scheme Streamline Search is a technical recruitment agency based in Chichester, West Sussex operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Hiring! Security Cloud Engineer Role Title: Security Cloud Engineer Location: Manchester Hybrid: 3 days in office and 2 WRH Duration: Initial 3 months Rate: £400 - £430 Engagement: Inside IR35 Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional)
May 20, 2026
Contractor
Hiring! Security Cloud Engineer Role Title: Security Cloud Engineer Location: Manchester Hybrid: 3 days in office and 2 WRH Duration: Initial 3 months Rate: £400 - £430 Engagement: Inside IR35 Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional)
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Role: CYBER SECURITY - SENIOR ENTERPRISE SECURITY ARCHITECT Location: London Contract Inside IR35 Role overview: We are seeking a seasoned, strategic, and hands-on Senior Enterprise Security Architect to lead the foundational implementation of the Centre for Internet Security (CIS) Critical Security Controls (CSC) across our entire enterprise. You will be the primary architect responsible for transitioning our security posture from current state to a robust, CIS-aligned framework, ensuring that security is deeply integrated into our infrastructure, cloud environments, and business operations. Your responsibilities: Strategic Framework Alignment: Lead the end-to-end design and roadmap for implementing CIS Controls (v8 or latest) from the ground up, mapping current technical controls to the CIS framework. Infrastructure & Cloud Security Architecture: Define and enforce secure architecture patterns for on-premises, hybrid, and multi-cloud (AWS/Azure/GCP) environments, ensuring compliance with CIS Benchmarks. Policy & Governance: Develop and document enterprise-wide security policies, standards, and procedures derived from CIS implementation groups (IG1, IG2, IG3) to ensure scalable security. Technical Implementation Oversight: Collaborate closely with DevOps, Network Engineering, and IT Operations teams to automate security configurations (eg, automated patching, hardening, configuration management). Asset Management & Visibility: Design robust solutions for automated hardware and software asset inventory-a critical prerequisite for effective CIS implementation. Vulnerability & Risk Management: Establish and mature enterprise vulnerability management processes to ensure continuous identification and remediation of risks as prioritized by the CIS framework. Stakeholder Engagement: Act as the primary subject matter expert, effectively communicating security requirements, project milestones, and risk posture to executive leadership and technical staff alike. Your Profile Experience: 10+ years in Cybersecurity, with at least 5 years in a senior architecture or lead security role. Framework Expertise: Deep, hands-on experience implementing CIS Critical Security Controls in large-scale enterprise environments. Cloud Fluency: Demonstrated architectural design experience in secure cloud migrations and cloud-native security practices. Automation: Strong belief in and experience with "Security as Code" principles; proficiency in Scripting (Python, PowerShell) or Infrastructure as Code (Terraform, Ansible) to automate hardening. Hardening Standards: Expert-level knowledge of CIS Benchmarks for operating systems (Linux/Windows), cloud platforms, and network devices. Communication: Proven ability to bridge the gap between technical teams and business stakeholders, articulating security risks in plain language. Senior Stakeholder Management - Proficient and experience in communication at executive levels within the organisation, reports, PowerPoint and presentation Preferred Technical Proficiency Requirements Cloud & Infrastructure: Cloud Security: Expert knowledge of AWS (Control Tower, SCPs), Azure (Blueprints, Policy), and GCP (Organization Policy Service). Infrastructure as Code (IaC): Advanced proficiency in Terraform, Ansible, or Bicep to enforce security configurations at scale (GitOps approach). Identity & Access Management (IAM): Deep understanding of Zero Trust Architecture (ZTA), RBAC/ABAC models, and integration with Enterprise IAM (Okta, Entra ID, Ping). Operating System Hardening: Hands-on experience applying CIS Benchmarks to Linux (RHEL, Ubuntu, Alpine) and Windows Server environments using automated configuration management. Security Operations & Tooling: Vulnerability Management: Experience with enterprise tools like Tenable.io, Qualys, or Rapid7 to map findings directly to CIS Control 7. EDR/XDR Integration: Expert-level deployment of tools (eg, CrowdStrike, SentinelOne) to achieve full visibility across endpoints (CIS Control 6). SIEM/SOAR: Experience designing log aggregation and automated response playbooks in platforms like Splunk, Microsoft Sentinel, or Google Chronicle to satisfy monitoring requirements (CIS Control 8). Asset Management: Implementation of automated discovery tools (eg, CMDB Lansweeper) to maintain a dynamic inventory of hardware and software (CIS Controls 1 & 2). Network & Endpoint Security: Micro-segmentation: Expertise in network design (NSX, Illumio, or Cloud-native security groups) to enforce granular traffic control (CIS Control 12). Encryption: Implementation of Data-at-Rest and Data-in-Transit standards (TLS 1.3, AES-256, HSMs, and Key Management Systems). Professional Certifications A successful candidate will ideally hold a mix of architectural-level and domain-specific certifications. Category Recommended Certifications Architectural CISSP-ISSAP (Information Systems Security Architecture Professional), TOGAF (The Open Group Architecture Framework) Cloud-Specific AWS Certified Security - Specialty , Microsoft Certified: Cybersecurity Architect Expert , Google Professional Cloud Security Engineer General Security CISSP (Certified Information Systems Security Professional), CISM (Certified Information Security Manager) Familiarity with integrating CIS controls alongside other regulatory frameworks (NIST CSF, ISO 27001, SOC2, or HIPAA). Technical/Auditor GSEC (GIAC Security Essentials), GCIH (GIAC Certified Incident Handler), CISA (Certified Information Systems Auditor) Program Management Experience leading large-scale cross-functional security transformation programs Strategic Impact: The Implementation Mindset The ideal candidate will move beyond simple checklist compliance. They must understand how to: Prioritize via CIS Implementation Groups (IGs): Pragmatically apply IG1 (Essential Cyber Hygiene), IG2 (Advanced), and IG3 (Expert) based on the organization's specific risk profile. Measure Efficacy: Define KPIs for each control (eg, "Percentage of endpoints with auto-patching enabled") to report progress to the Board. Automation First: Ensure that every security control, where possible, is deployed via automated pipelines rather than manual "click-ops," ensuring consistency across thousands of asset
May 20, 2026
Contractor
Role: CYBER SECURITY - SENIOR ENTERPRISE SECURITY ARCHITECT Location: London Contract Inside IR35 Role overview: We are seeking a seasoned, strategic, and hands-on Senior Enterprise Security Architect to lead the foundational implementation of the Centre for Internet Security (CIS) Critical Security Controls (CSC) across our entire enterprise. You will be the primary architect responsible for transitioning our security posture from current state to a robust, CIS-aligned framework, ensuring that security is deeply integrated into our infrastructure, cloud environments, and business operations. Your responsibilities: Strategic Framework Alignment: Lead the end-to-end design and roadmap for implementing CIS Controls (v8 or latest) from the ground up, mapping current technical controls to the CIS framework. Infrastructure & Cloud Security Architecture: Define and enforce secure architecture patterns for on-premises, hybrid, and multi-cloud (AWS/Azure/GCP) environments, ensuring compliance with CIS Benchmarks. Policy & Governance: Develop and document enterprise-wide security policies, standards, and procedures derived from CIS implementation groups (IG1, IG2, IG3) to ensure scalable security. Technical Implementation Oversight: Collaborate closely with DevOps, Network Engineering, and IT Operations teams to automate security configurations (eg, automated patching, hardening, configuration management). Asset Management & Visibility: Design robust solutions for automated hardware and software asset inventory-a critical prerequisite for effective CIS implementation. Vulnerability & Risk Management: Establish and mature enterprise vulnerability management processes to ensure continuous identification and remediation of risks as prioritized by the CIS framework. Stakeholder Engagement: Act as the primary subject matter expert, effectively communicating security requirements, project milestones, and risk posture to executive leadership and technical staff alike. Your Profile Experience: 10+ years in Cybersecurity, with at least 5 years in a senior architecture or lead security role. Framework Expertise: Deep, hands-on experience implementing CIS Critical Security Controls in large-scale enterprise environments. Cloud Fluency: Demonstrated architectural design experience in secure cloud migrations and cloud-native security practices. Automation: Strong belief in and experience with "Security as Code" principles; proficiency in Scripting (Python, PowerShell) or Infrastructure as Code (Terraform, Ansible) to automate hardening. Hardening Standards: Expert-level knowledge of CIS Benchmarks for operating systems (Linux/Windows), cloud platforms, and network devices. Communication: Proven ability to bridge the gap between technical teams and business stakeholders, articulating security risks in plain language. Senior Stakeholder Management - Proficient and experience in communication at executive levels within the organisation, reports, PowerPoint and presentation Preferred Technical Proficiency Requirements Cloud & Infrastructure: Cloud Security: Expert knowledge of AWS (Control Tower, SCPs), Azure (Blueprints, Policy), and GCP (Organization Policy Service). Infrastructure as Code (IaC): Advanced proficiency in Terraform, Ansible, or Bicep to enforce security configurations at scale (GitOps approach). Identity & Access Management (IAM): Deep understanding of Zero Trust Architecture (ZTA), RBAC/ABAC models, and integration with Enterprise IAM (Okta, Entra ID, Ping). Operating System Hardening: Hands-on experience applying CIS Benchmarks to Linux (RHEL, Ubuntu, Alpine) and Windows Server environments using automated configuration management. Security Operations & Tooling: Vulnerability Management: Experience with enterprise tools like Tenable.io, Qualys, or Rapid7 to map findings directly to CIS Control 7. EDR/XDR Integration: Expert-level deployment of tools (eg, CrowdStrike, SentinelOne) to achieve full visibility across endpoints (CIS Control 6). SIEM/SOAR: Experience designing log aggregation and automated response playbooks in platforms like Splunk, Microsoft Sentinel, or Google Chronicle to satisfy monitoring requirements (CIS Control 8). Asset Management: Implementation of automated discovery tools (eg, CMDB Lansweeper) to maintain a dynamic inventory of hardware and software (CIS Controls 1 & 2). Network & Endpoint Security: Micro-segmentation: Expertise in network design (NSX, Illumio, or Cloud-native security groups) to enforce granular traffic control (CIS Control 12). Encryption: Implementation of Data-at-Rest and Data-in-Transit standards (TLS 1.3, AES-256, HSMs, and Key Management Systems). Professional Certifications A successful candidate will ideally hold a mix of architectural-level and domain-specific certifications. Category Recommended Certifications Architectural CISSP-ISSAP (Information Systems Security Architecture Professional), TOGAF (The Open Group Architecture Framework) Cloud-Specific AWS Certified Security - Specialty , Microsoft Certified: Cybersecurity Architect Expert , Google Professional Cloud Security Engineer General Security CISSP (Certified Information Systems Security Professional), CISM (Certified Information Security Manager) Familiarity with integrating CIS controls alongside other regulatory frameworks (NIST CSF, ISO 27001, SOC2, or HIPAA). Technical/Auditor GSEC (GIAC Security Essentials), GCIH (GIAC Certified Incident Handler), CISA (Certified Information Systems Auditor) Program Management Experience leading large-scale cross-functional security transformation programs Strategic Impact: The Implementation Mindset The ideal candidate will move beyond simple checklist compliance. They must understand how to: Prioritize via CIS Implementation Groups (IGs): Pragmatically apply IG1 (Essential Cyber Hygiene), IG2 (Advanced), and IG3 (Expert) based on the organization's specific risk profile. Measure Efficacy: Define KPIs for each control (eg, "Percentage of endpoints with auto-patching enabled") to report progress to the Board. Automation First: Ensure that every security control, where possible, is deployed via automated pipelines rather than manual "click-ops," ensuring consistency across thousands of asset
Role Title: Cloud Security Engineer Start Date: ASAP End Date: 31st August 2026 (Extensions Available) Rate: £460p/d via Umbrella Location: Knutsford (3 Days per Week Onsite) Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional) If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
May 20, 2026
Contractor
Role Title: Cloud Security Engineer Start Date: ASAP End Date: 31st August 2026 (Extensions Available) Rate: £460p/d via Umbrella Location: Knutsford (3 Days per Week Onsite) Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional) If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Role information: Production Engineer Salary up to 40,000 DOE Merthyr Tydfil South Wales Starting October 2026 Why join Marshall Land Systems in this role: The Production Engineer is responsible for developing a continuous improvement culture by supporting the implementation of lean techniques. Advising on systems, facility layouts and capital equipment to enhance the production and assembly process. Support new capital expenditure requirements, methods and commissioning as required. Working as part of a multidisciplinary production team, the Production Engineer ensures all work is carried out to the highest professional and technical standards while maintaining a strong focus on safety and continuous improvement. Your responsibilities in this role include: Support Project Management Plans (PMP) and Systems Engineering Management Plans (SEMP) by advising on production approaches Review product concepts and detailed designs, recommending process simplifications to reduce cost, complexity, and lead time Perform production engineering drawing checks for new and revised parts Develop standard processes that enable efficient, cost-effective production and assembly Identify requirements for jigs, fixtures, and tooling; support their development and alignment with assembly approaches via Statements of Work (SoW) Determine preferred Conditions of Supply (CoS) for parts and components Review proposed process changes against Process Failure Modes and Effects Analyses (PFMEA) Communicate process changes to Operations and support implementation Conduct or support root cause analyses for product quality issues, implementing corrective actions where necessary Evaluate and implement new technologies to improve production efficiency, reduce costs, and enhance quality Apply if you have most of the following: Experience in manufacturing, assembly, or vehicle build environments Experience interpreting technical drawings and engineering documentation Experience in a regulated or quality-controlled manufacturing environment (desirable) Technical Skills/education: Strong IT skills, including Microsoft Word and Excel Ability to engage and collaborate with stakeholders at all levels Excellent communication skills and proactive, dynamic attitude Broad knowledge of composite materials and manufacturing processes Experience in aerospace component manufacturing and AS9100-accredited assembly processes Demonstrable experience in a similar production engineering role Technical qualification relevant to production, engineering, or manufacturing (desirable) Experience with process improvement or lean manufacturing initiatives (desirable) The benefits of this role include: Opportunity to influence and optimise production processes across the facility Exposure to end-to-end production and assembly operations Involvement in continuous improvement and lean initiatives Development opportunities into senior production engineering or operations leadership roles Collaboration across multiple technical and operational functions Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
May 20, 2026
Full time
Role information: Production Engineer Salary up to 40,000 DOE Merthyr Tydfil South Wales Starting October 2026 Why join Marshall Land Systems in this role: The Production Engineer is responsible for developing a continuous improvement culture by supporting the implementation of lean techniques. Advising on systems, facility layouts and capital equipment to enhance the production and assembly process. Support new capital expenditure requirements, methods and commissioning as required. Working as part of a multidisciplinary production team, the Production Engineer ensures all work is carried out to the highest professional and technical standards while maintaining a strong focus on safety and continuous improvement. Your responsibilities in this role include: Support Project Management Plans (PMP) and Systems Engineering Management Plans (SEMP) by advising on production approaches Review product concepts and detailed designs, recommending process simplifications to reduce cost, complexity, and lead time Perform production engineering drawing checks for new and revised parts Develop standard processes that enable efficient, cost-effective production and assembly Identify requirements for jigs, fixtures, and tooling; support their development and alignment with assembly approaches via Statements of Work (SoW) Determine preferred Conditions of Supply (CoS) for parts and components Review proposed process changes against Process Failure Modes and Effects Analyses (PFMEA) Communicate process changes to Operations and support implementation Conduct or support root cause analyses for product quality issues, implementing corrective actions where necessary Evaluate and implement new technologies to improve production efficiency, reduce costs, and enhance quality Apply if you have most of the following: Experience in manufacturing, assembly, or vehicle build environments Experience interpreting technical drawings and engineering documentation Experience in a regulated or quality-controlled manufacturing environment (desirable) Technical Skills/education: Strong IT skills, including Microsoft Word and Excel Ability to engage and collaborate with stakeholders at all levels Excellent communication skills and proactive, dynamic attitude Broad knowledge of composite materials and manufacturing processes Experience in aerospace component manufacturing and AS9100-accredited assembly processes Demonstrable experience in a similar production engineering role Technical qualification relevant to production, engineering, or manufacturing (desirable) Experience with process improvement or lean manufacturing initiatives (desirable) The benefits of this role include: Opportunity to influence and optimise production processes across the facility Exposure to end-to-end production and assembly operations Involvement in continuous improvement and lean initiatives Development opportunities into senior production engineering or operations leadership roles Collaboration across multiple technical and operational functions Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
Job Title: Hardware Team Leader Location: Rochester - Onsite Salary: Circa £60,000 per annum Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. Job Description: As a Hardware Team Leader , you will lead a team of highly skilled and experienced hardware engineers responsible for the support to our production programs within products such as Helmet Mounted & Head-Up Displays, Mission Computers, Flight Controls , Active Inceptors and other associated safety critical technology. Core duties: You will be providing managerial and technical leadership of an electronics design team You will be involved in work package management ; cost, schedule, risk and opportunities You will be ensuring the engineering team is supporting the production program demand You will be providing technical governance and ensuring adherence to company processes You will be leading cost and performance trade-offs Essential Skills: You will be able to demonstrate high performance and achievement in leadership and management of engineering teams through a full product development lifecycle You will have proven experience / knowledge of cost and planning management tools/ optimising solutions and minimising impacts from dependencies/ product design and work package control You will have experience of design and identifying improvements to working practices and team skill development. Alongside root cause and target areas of improvement , focusing on failure reduction and MDBF It is desirable you will have experience of the Safety Critical Systems , requirements management tools, such as DOORS or work-package management tools, such as MSP, JIRA The Hardware Team: You will be working as part of a multidisciplinary team to formulate and optimise innovative hardware engineering solutions, for products such as Helmet Mounted & Head-Up Displays, Mission Computers, Flight Controls, Active Inceptors, and other associated safety-critical technology. This role will provide you with the opportunity to work with innovating cutting-edge projects as a member of a very experienced diverse team, with the view to progressing your career in this industry. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 1st June 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
May 20, 2026
Full time
Job Title: Hardware Team Leader Location: Rochester - Onsite Salary: Circa £60,000 per annum Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. Job Description: As a Hardware Team Leader , you will lead a team of highly skilled and experienced hardware engineers responsible for the support to our production programs within products such as Helmet Mounted & Head-Up Displays, Mission Computers, Flight Controls , Active Inceptors and other associated safety critical technology. Core duties: You will be providing managerial and technical leadership of an electronics design team You will be involved in work package management ; cost, schedule, risk and opportunities You will be ensuring the engineering team is supporting the production program demand You will be providing technical governance and ensuring adherence to company processes You will be leading cost and performance trade-offs Essential Skills: You will be able to demonstrate high performance and achievement in leadership and management of engineering teams through a full product development lifecycle You will have proven experience / knowledge of cost and planning management tools/ optimising solutions and minimising impacts from dependencies/ product design and work package control You will have experience of design and identifying improvements to working practices and team skill development. Alongside root cause and target areas of improvement , focusing on failure reduction and MDBF It is desirable you will have experience of the Safety Critical Systems , requirements management tools, such as DOORS or work-package management tools, such as MSP, JIRA The Hardware Team: You will be working as part of a multidisciplinary team to formulate and optimise innovative hardware engineering solutions, for products such as Helmet Mounted & Head-Up Displays, Mission Computers, Flight Controls, Active Inceptors, and other associated safety-critical technology. This role will provide you with the opportunity to work with innovating cutting-edge projects as a member of a very experienced diverse team, with the view to progressing your career in this industry. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 1st June 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
May 20, 2026
Full time
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
May 20, 2026
Full time
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
