Physical Security (Operational Tech) Systems Engineer - Remote (occasional travel to site) - £70,000 + benefits The UK's leading trade and logistics company is seeking a skilled Security Operations Technical Systems Engineer to lead the development, enhancement, and optimisation of CCTV, Electronic Access Control (EACS), and Operational Technology systems across multiple sites, delivering secure, resilient, and industry-leading solutions aligned with business and security objectives. The successful candidate will bring a strong background in fault-finding, installation, and commissioning, along with deep technical expertise to ensure high-quality, reliable physical security operations across a multi-site environment. Key Responsibilities Oversee daily OT operations and incidents, ensuring systems remain secure, reliable, and fully supported. Conduct system checks, audits, and performance reporting across CCTV, access control, and OT platforms. Manage firmware and software updates, ensuring compliance and system integrity. Support new project delivery from design to commissioning and handover. Collaborate with cybersecurity and network teams to maintain secure, standardised deployments. Identify risks, manage vulnerabilities, and drive continuous improvement across all security systems. Key Requirements Proven experience managing enterprise-level CCTV, EACS, and OT systems in a multi-site environment. Expertise in CCTV, EACS and OT systems architecture (on prem and cloud) Strong technical knowledge of system architecture, networking, and security best practice. Skilled in incident management, data reporting (API/SQL), and process optimisation. Experienced in system audits, configuration, and integration with AD/JML processes. Excellent communication and stakeholder management skills. Knowledge of cybersecurity frameworks and OT risk management. This is an exciting permanent role for a talented Security Operations System Engineer to join the UK's largest trade and logistics company. Salary: £70,000 + Benefits Location: Home based (with occasional travel to site)
Mar 18, 2026
Full time
Physical Security (Operational Tech) Systems Engineer - Remote (occasional travel to site) - £70,000 + benefits The UK's leading trade and logistics company is seeking a skilled Security Operations Technical Systems Engineer to lead the development, enhancement, and optimisation of CCTV, Electronic Access Control (EACS), and Operational Technology systems across multiple sites, delivering secure, resilient, and industry-leading solutions aligned with business and security objectives. The successful candidate will bring a strong background in fault-finding, installation, and commissioning, along with deep technical expertise to ensure high-quality, reliable physical security operations across a multi-site environment. Key Responsibilities Oversee daily OT operations and incidents, ensuring systems remain secure, reliable, and fully supported. Conduct system checks, audits, and performance reporting across CCTV, access control, and OT platforms. Manage firmware and software updates, ensuring compliance and system integrity. Support new project delivery from design to commissioning and handover. Collaborate with cybersecurity and network teams to maintain secure, standardised deployments. Identify risks, manage vulnerabilities, and drive continuous improvement across all security systems. Key Requirements Proven experience managing enterprise-level CCTV, EACS, and OT systems in a multi-site environment. Expertise in CCTV, EACS and OT systems architecture (on prem and cloud) Strong technical knowledge of system architecture, networking, and security best practice. Skilled in incident management, data reporting (API/SQL), and process optimisation. Experienced in system audits, configuration, and integration with AD/JML processes. Excellent communication and stakeholder management skills. Knowledge of cybersecurity frameworks and OT risk management. This is an exciting permanent role for a talented Security Operations System Engineer to join the UK's largest trade and logistics company. Salary: £70,000 + Benefits Location: Home based (with occasional travel to site)
Senior Manhattan Active WM Consultant Location: Islip/Kettering (Hybrid, 3 - 4 days per week and International travel later in 2026) Duration: Initial 12 Months Day Rate: Competitive Inside IR35 A major global retailer is seeking a Senior Manhattan Active Warehouse Management (MAWM) Consultant to play a key role in a large-scale logistics transformation programme. This is a hands-on, delivery-focused contract supporting the design, configuration, integration, and deployment of Manhattan Active WM across a multi-site, high-volume distribution network. The role requires deep Manhattan Active expertise, strong operational understanding of warehouse environments, and proven experience stabilising complex WMS go-lives in automated distribution centres. What You'll Be Doing Supporting the end-to-end design, configuration, and deployment of Manhattan Active WM across multiple distribution centres. Configuring MAWM using Configuration Director , including advanced operational configuration and process optimisation. Leading and supporting integration design, build, and testing between MAWM, ERP host systems, and Warehouse Control Systems (WCS). Participating in SIT, UAT, and operational readiness phases to ensure robust solution delivery. Providing on-site and remote support during go-live and hypercare, rapidly diagnosing and resolving issues impacting throughput, inventory synchronisation, or operational flow. Required Experience Extensive hands-on experience delivering multiple Manhattan Active WM deployments in large retail or fashion distribution environments. Proven track record stabilising live warehouse operations during rapid WMS go-lives, including resolving messaging, integration, and inventory synchronisation issues. Advanced configuration expertise within MAWM using Configuration Director . Strong experience with Manhattan ProActive , Manhattan ActiveGo , and Manhattan Active Labour Management (MALM) . Demonstrable experience designing and supporting integrations between MAWM, host systems, and WCS in highly automated environments. Experience working within cloud-native Manhattan Active architecture, including microservices and API-driven integrations. Desirable Experience Exposure to Manhattan Active Transport Management (MATM) . Experience delivering large-scale, multi-site WMS transformation programmes. Background supporting automation-heavy warehouse environments within global retail supply chains. Who You Are You bring deep technical expertise in Manhattan Active WM combined with a strong operational understanding of warehouse processes. You're comfortable working with warehouse teams, automation engineers, and senior programme leadership in a fast-moving, high-pressure environment. You thrive in complex distribution settings and can balance technical precision with operational practicality. Summary This is a senior-level role for a Manhattan Active specialist with proven experience delivering and stabilising MAWM within complex, automated distribution networks. You'll be instrumental in ensuring successful deployment, integration, and operational readiness across a major supply chain transformation programme.
Mar 18, 2026
Contractor
Senior Manhattan Active WM Consultant Location: Islip/Kettering (Hybrid, 3 - 4 days per week and International travel later in 2026) Duration: Initial 12 Months Day Rate: Competitive Inside IR35 A major global retailer is seeking a Senior Manhattan Active Warehouse Management (MAWM) Consultant to play a key role in a large-scale logistics transformation programme. This is a hands-on, delivery-focused contract supporting the design, configuration, integration, and deployment of Manhattan Active WM across a multi-site, high-volume distribution network. The role requires deep Manhattan Active expertise, strong operational understanding of warehouse environments, and proven experience stabilising complex WMS go-lives in automated distribution centres. What You'll Be Doing Supporting the end-to-end design, configuration, and deployment of Manhattan Active WM across multiple distribution centres. Configuring MAWM using Configuration Director , including advanced operational configuration and process optimisation. Leading and supporting integration design, build, and testing between MAWM, ERP host systems, and Warehouse Control Systems (WCS). Participating in SIT, UAT, and operational readiness phases to ensure robust solution delivery. Providing on-site and remote support during go-live and hypercare, rapidly diagnosing and resolving issues impacting throughput, inventory synchronisation, or operational flow. Required Experience Extensive hands-on experience delivering multiple Manhattan Active WM deployments in large retail or fashion distribution environments. Proven track record stabilising live warehouse operations during rapid WMS go-lives, including resolving messaging, integration, and inventory synchronisation issues. Advanced configuration expertise within MAWM using Configuration Director . Strong experience with Manhattan ProActive , Manhattan ActiveGo , and Manhattan Active Labour Management (MALM) . Demonstrable experience designing and supporting integrations between MAWM, host systems, and WCS in highly automated environments. Experience working within cloud-native Manhattan Active architecture, including microservices and API-driven integrations. Desirable Experience Exposure to Manhattan Active Transport Management (MATM) . Experience delivering large-scale, multi-site WMS transformation programmes. Background supporting automation-heavy warehouse environments within global retail supply chains. Who You Are You bring deep technical expertise in Manhattan Active WM combined with a strong operational understanding of warehouse processes. You're comfortable working with warehouse teams, automation engineers, and senior programme leadership in a fast-moving, high-pressure environment. You thrive in complex distribution settings and can balance technical precision with operational practicality. Summary This is a senior-level role for a Manhattan Active specialist with proven experience delivering and stabilising MAWM within complex, automated distribution networks. You'll be instrumental in ensuring successful deployment, integration, and operational readiness across a major supply chain transformation programme.
SailPoint Technical Consultant - SC and NPPV3 clearance Location: Hybrid London/South East Duration: 6 to 12 months Rate: £525 to £675 per day inside IR35 An opportunity for a SailPoint specialist to support identity modernisation across secure public safety environments. Key responsibilities Design and configuration of SailPoint IdentityIQ or IdentityNow solutions Integration with enterprise directories, HR systems and access governance tooling Support onboarding of applications into identity life cycle processes Provide SME support to security architecture and programme leadership Troubleshoot complex identity and access issues within regulated environments Required experience Proven SailPoint technical implementation background Current SC and NPPV3 clearance essential Strong IAM architecture awareness Experience working with policing or law enforcement technology landscapes beneficial Ability to operate autonomously in complex stakeholder environments
Mar 18, 2026
Contractor
SailPoint Technical Consultant - SC and NPPV3 clearance Location: Hybrid London/South East Duration: 6 to 12 months Rate: £525 to £675 per day inside IR35 An opportunity for a SailPoint specialist to support identity modernisation across secure public safety environments. Key responsibilities Design and configuration of SailPoint IdentityIQ or IdentityNow solutions Integration with enterprise directories, HR systems and access governance tooling Support onboarding of applications into identity life cycle processes Provide SME support to security architecture and programme leadership Troubleshoot complex identity and access issues within regulated environments Required experience Proven SailPoint technical implementation background Current SC and NPPV3 clearance essential Strong IAM architecture awareness Experience working with policing or law enforcement technology landscapes beneficial Ability to operate autonomously in complex stakeholder environments
Oracle Fusion Solutions Architect HR focus, senior leadership engagement Location: Hybrid UK Duration: 6 months initial Rate: £650 to £825 per day inside IR35 We are looking for a senior Oracle Fusion Solutions Architect with deep HR domain expertise to lead solution strategy and technical problem solving at executive programme level. Key responsibilities Own end-to-end solution architecture across Oracle Fusion HCM Act as senior escalation point for complex functional and technical challenges Provide architectural leadership to delivery teams and suppliers Engage senior leadership stakeholders to shape roadmap and transformation approach Ensure integration patterns and data strategy align with enterprise architecture Required experience Extensive Oracle Fusion HCM architecture delivery background Proven ability operating at SLT/programme board level Strong functional and technical hybrid capability Experience leading large scale HR transformation programmes Integration, data migration and environment strategy expertise
Mar 18, 2026
Contractor
Oracle Fusion Solutions Architect HR focus, senior leadership engagement Location: Hybrid UK Duration: 6 months initial Rate: £650 to £825 per day inside IR35 We are looking for a senior Oracle Fusion Solutions Architect with deep HR domain expertise to lead solution strategy and technical problem solving at executive programme level. Key responsibilities Own end-to-end solution architecture across Oracle Fusion HCM Act as senior escalation point for complex functional and technical challenges Provide architectural leadership to delivery teams and suppliers Engage senior leadership stakeholders to shape roadmap and transformation approach Ensure integration patterns and data strategy align with enterprise architecture Required experience Extensive Oracle Fusion HCM architecture delivery background Proven ability operating at SLT/programme board level Strong functional and technical hybrid capability Experience leading large scale HR transformation programmes Integration, data migration and environment strategy expertise
Our Mission At Vertical Aerospace, we are pioneering the way for electric aviation. The Valo, our eVTOL (electric, vertical, take-off and landing), 'zero emissions' aircraft will set a new safety standard for how we will navigate the sky. We won't realise our mission following the same legacy processes and traditions our predecessors followed, instead, we want to 'redefine' aerospace best practices. We are growing quickly from a prototype business to a scaling SME, and the next few years will be critical to our success and delivering on our ambitious goals. Valo is targeting airliner-level safety certification in 2028 ahead of entering service with our airline and operator customers. What to expect We are seeking an exceptional engineer to join our Flight Deck Avionics team and support the design, development, integration, and certification of avionics systems for our eVTOL aircraft, Valo. This is an exciting opportunity to work on a clean-sheet aircraft programme, contributing to the development of flight deck systems including displays, avionics computing, sensors, data networks, and pilot interfaces. You will work closely with experienced systems engineers, pilots and multidisciplinary teams to help deliver certifiable, safety-critical avionics systems. The ideal candidate is technically strong, highly motivated, and eager to develop expertise in systems engineering and flight deck avionics within a fast-paced aerospace environment. What you'll do Avionics System Development Support the development of flight deck avionics system architectures. Assist in defining system functions, interfaces, and requirements. Own the preparation and delivery of avionics system documentation. Contribute to avionics trade studies and technology evaluations. Requirements & Modelling Capture and manage system requirements within the company's requirements management tools. Develop and agree use cases to validate system behaviour and requirements Support development of system models to define architecture and interfaces. Maintain traceability between high-level aircraft requirements and avionics system specifications. Integration & Testing Support integration of avionics hardware and software in lab environments. Assist in developing test procedures and verification plans. Participate in bench testing, rig testing, and aircraft integration activities. Support troubleshooting and resolution of integration issues. What you'll bring Bachelor's or master's degree in aerospace engineering, mechanical engineering, systems, or a related field. Additional training in systems engineering or human factors is a plus. 1-2 years of relevant industry experience. Excellent analytical and problem-solving skills. Confident communicator with the ability to clearly explain technical topics and work effectively with engineers, pilots, suppliers, and cross-functional teams. Proficiency in systems engineering tools and methodologies. Familiarity with ARP4761, ARP4754 and DO-160. Experience with Product Lifecycle Management systems. Experience with system modelling applications. Experience with requirements management tools. What can you expect from us? We're on a mission. Where others see limits, we see opportunity, and we work at pace. Working at Vertical isn't your average role but for those seeking a challenge, a flexible, supportive organisation and an incredible team; working here is an opportunity to do the best work of your career. Our approach promotes ingenuity and courage, while our environment builds success through diligence in safety and being open in the way we work. The only way we're going to assure the next chapter of aviation history is by working as a team, relentlessly, towards our goal. Our benefits Our people matter - we're not going anywhere without them. Which is why our company benefits go beyond the essentials. 26 days holiday, plus bank holiday 5 extra days per year to buy (or sell) 5 extra days holiday when you get married or enter a civil partnership Additional 4% of your salary to spend on extra benefits Award-winning digital health and wellbeing service Company performance based bonus - rewarding company and individual performance Company Share Scheme - open to every Vertical employee Company Pension Scheme - 5% and we match it Breakfast on us, every day We may just be the hardest job you've ever had, but we're confident it will be the most rewarding. Join the team today and help us shape the future of Advanced Air Mobility. Disclaimer Statement We encourage you to apply even if you may not have all the experience listed in the advert. We recognise that talent comes in various forms and we are committed to providing opportunities that create an environment of growth, diversity, and inclusion for everyone. As part of our desire to review and make our processes fair, we may ask you questions related to these aspects during the application process. For more information on how we will use your data, see our Legal section.
Mar 18, 2026
Full time
Our Mission At Vertical Aerospace, we are pioneering the way for electric aviation. The Valo, our eVTOL (electric, vertical, take-off and landing), 'zero emissions' aircraft will set a new safety standard for how we will navigate the sky. We won't realise our mission following the same legacy processes and traditions our predecessors followed, instead, we want to 'redefine' aerospace best practices. We are growing quickly from a prototype business to a scaling SME, and the next few years will be critical to our success and delivering on our ambitious goals. Valo is targeting airliner-level safety certification in 2028 ahead of entering service with our airline and operator customers. What to expect We are seeking an exceptional engineer to join our Flight Deck Avionics team and support the design, development, integration, and certification of avionics systems for our eVTOL aircraft, Valo. This is an exciting opportunity to work on a clean-sheet aircraft programme, contributing to the development of flight deck systems including displays, avionics computing, sensors, data networks, and pilot interfaces. You will work closely with experienced systems engineers, pilots and multidisciplinary teams to help deliver certifiable, safety-critical avionics systems. The ideal candidate is technically strong, highly motivated, and eager to develop expertise in systems engineering and flight deck avionics within a fast-paced aerospace environment. What you'll do Avionics System Development Support the development of flight deck avionics system architectures. Assist in defining system functions, interfaces, and requirements. Own the preparation and delivery of avionics system documentation. Contribute to avionics trade studies and technology evaluations. Requirements & Modelling Capture and manage system requirements within the company's requirements management tools. Develop and agree use cases to validate system behaviour and requirements Support development of system models to define architecture and interfaces. Maintain traceability between high-level aircraft requirements and avionics system specifications. Integration & Testing Support integration of avionics hardware and software in lab environments. Assist in developing test procedures and verification plans. Participate in bench testing, rig testing, and aircraft integration activities. Support troubleshooting and resolution of integration issues. What you'll bring Bachelor's or master's degree in aerospace engineering, mechanical engineering, systems, or a related field. Additional training in systems engineering or human factors is a plus. 1-2 years of relevant industry experience. Excellent analytical and problem-solving skills. Confident communicator with the ability to clearly explain technical topics and work effectively with engineers, pilots, suppliers, and cross-functional teams. Proficiency in systems engineering tools and methodologies. Familiarity with ARP4761, ARP4754 and DO-160. Experience with Product Lifecycle Management systems. Experience with system modelling applications. Experience with requirements management tools. What can you expect from us? We're on a mission. Where others see limits, we see opportunity, and we work at pace. Working at Vertical isn't your average role but for those seeking a challenge, a flexible, supportive organisation and an incredible team; working here is an opportunity to do the best work of your career. Our approach promotes ingenuity and courage, while our environment builds success through diligence in safety and being open in the way we work. The only way we're going to assure the next chapter of aviation history is by working as a team, relentlessly, towards our goal. Our benefits Our people matter - we're not going anywhere without them. Which is why our company benefits go beyond the essentials. 26 days holiday, plus bank holiday 5 extra days per year to buy (or sell) 5 extra days holiday when you get married or enter a civil partnership Additional 4% of your salary to spend on extra benefits Award-winning digital health and wellbeing service Company performance based bonus - rewarding company and individual performance Company Share Scheme - open to every Vertical employee Company Pension Scheme - 5% and we match it Breakfast on us, every day We may just be the hardest job you've ever had, but we're confident it will be the most rewarding. Join the team today and help us shape the future of Advanced Air Mobility. Disclaimer Statement We encourage you to apply even if you may not have all the experience listed in the advert. We recognise that talent comes in various forms and we are committed to providing opportunities that create an environment of growth, diversity, and inclusion for everyone. As part of our desire to review and make our processes fair, we may ask you questions related to these aspects during the application process. For more information on how we will use your data, see our Legal section.
Senior DevOps Pre-Sales Solutions Engineer Solutions Engineer UNITED KINGDOM Senior DevOps Pre-Sales Solutions Engineer - London (Hybrid - 3 days per week in the office) - UNITED KINGDOM Are you a high-impact DevOps Pre-Sales professional who thrives at the intersection of deep technical expertise and enterprise sales? Do you already operate in a customer-facing DevOps pre-sales role - leading technical wins, running proof-of-concepts, and shaping complex DevSecOps conversations at enterprise level? If yes, this could be your next major career move. About the Company: Our client is a leading global software platform transforming how modern organisations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwide - including many of the world's largest organisations - their platform plays a mission-critical role in securing and accelerating software delivery from code to production. This is not a small-scale vendor role. This is software supply chain at global enterprise level. Strict Requirement - Who This Role Is For This opportunity is ONLY open to professionals who: Are currently working in a DevOps Pre-Sales / Solutions Engineering role Have a strong hands-on DevOps technical background Have personally led technical evaluations, POCs and technical wins Are comfortable operating in complex enterprise sales cycles This is not : A pure DevOps engineer role A post-sales Customer Success role A generic Solutions Architect role A role for someone trying to "move into pre-sales" You must already be operating successfully in DevOps-focused technical pre-sales. The Role As Senior Solutions Engineer, you will act as a trusted technical advisor to strategic enterprise customers . You will own the technical strategy from first conversation through to successful proof-of-value and technical close. You will: Partner with enterprise customers to design secure software supply chain architectures Deliver compelling deep-dive technical presentations and live demonstrations Lead and own end-to-end proof-of-concept engagements Drive the technical win in complex enterprise sales cycles Design and size solutions based on customer environments Deliver technical enablement to customers and partners Represent the company at industry events Provide structured customer insight back to Product & Engineering This is high-visibility, high-impact, and highly strategic. What You Must Bring Experience: 5+ years in Solutions Engineering / DevOps Pre-Sales / Technical Sales Demonstrated success owning technical wins in enterprise environments Minimum 2.5-year average tenure per employer DevOps Technical Depth (essential): CI/CD pipeline architecture and integrations Git-based platforms (GitHub, GitLab, Bitbucket) DevSecOps tooling and security integrations SCA, SAST, SBOM management Container security Strong understanding of modern cloud and distributed systems Highly desirable: Background in software development Exposure to MLOps You must be equally credible in front of: Heads of DevOps Platform Engineering teams Security leaders C-level technical stakeholders Why This Role Stands Out Global enterprise exposure Complex, intellectually challenging sales cycles Cutting-edge DevSecOps and software supply chain technology High-calibre peer group Strong career progression potential This is a role for professionals who enjoy being the most technically credible person in the room - while also influencing major commercial decisions. If you are an experienced DevOps Pre-Sales Solutions Engineer ready to step into a more strategic, enterprise-focused environment, I'd be very interested in speaking with you IND123
Mar 18, 2026
Full time
Senior DevOps Pre-Sales Solutions Engineer Solutions Engineer UNITED KINGDOM Senior DevOps Pre-Sales Solutions Engineer - London (Hybrid - 3 days per week in the office) - UNITED KINGDOM Are you a high-impact DevOps Pre-Sales professional who thrives at the intersection of deep technical expertise and enterprise sales? Do you already operate in a customer-facing DevOps pre-sales role - leading technical wins, running proof-of-concepts, and shaping complex DevSecOps conversations at enterprise level? If yes, this could be your next major career move. About the Company: Our client is a leading global software platform transforming how modern organisations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwide - including many of the world's largest organisations - their platform plays a mission-critical role in securing and accelerating software delivery from code to production. This is not a small-scale vendor role. This is software supply chain at global enterprise level. Strict Requirement - Who This Role Is For This opportunity is ONLY open to professionals who: Are currently working in a DevOps Pre-Sales / Solutions Engineering role Have a strong hands-on DevOps technical background Have personally led technical evaluations, POCs and technical wins Are comfortable operating in complex enterprise sales cycles This is not : A pure DevOps engineer role A post-sales Customer Success role A generic Solutions Architect role A role for someone trying to "move into pre-sales" You must already be operating successfully in DevOps-focused technical pre-sales. The Role As Senior Solutions Engineer, you will act as a trusted technical advisor to strategic enterprise customers . You will own the technical strategy from first conversation through to successful proof-of-value and technical close. You will: Partner with enterprise customers to design secure software supply chain architectures Deliver compelling deep-dive technical presentations and live demonstrations Lead and own end-to-end proof-of-concept engagements Drive the technical win in complex enterprise sales cycles Design and size solutions based on customer environments Deliver technical enablement to customers and partners Represent the company at industry events Provide structured customer insight back to Product & Engineering This is high-visibility, high-impact, and highly strategic. What You Must Bring Experience: 5+ years in Solutions Engineering / DevOps Pre-Sales / Technical Sales Demonstrated success owning technical wins in enterprise environments Minimum 2.5-year average tenure per employer DevOps Technical Depth (essential): CI/CD pipeline architecture and integrations Git-based platforms (GitHub, GitLab, Bitbucket) DevSecOps tooling and security integrations SCA, SAST, SBOM management Container security Strong understanding of modern cloud and distributed systems Highly desirable: Background in software development Exposure to MLOps You must be equally credible in front of: Heads of DevOps Platform Engineering teams Security leaders C-level technical stakeholders Why This Role Stands Out Global enterprise exposure Complex, intellectually challenging sales cycles Cutting-edge DevSecOps and software supply chain technology High-calibre peer group Strong career progression potential This is a role for professionals who enjoy being the most technically credible person in the room - while also influencing major commercial decisions. If you are an experienced DevOps Pre-Sales Solutions Engineer ready to step into a more strategic, enterprise-focused environment, I'd be very interested in speaking with you IND123
TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you're working in our four global Home Offices, Distribution Centers or Retail Stores-TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you'll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family-a Fortune 100 company and the world's leading off-price retailer. Job Description: Senior Engineer - Supply Chain What you'll discover Inclusive culture and career growth opportunities Global IT Organization which collaborates across U.S., Canada, Europe and Australia, click here to learn more Challenging, collaborative, and team-based environment What you'll do The Global Supply Chain - Retail Distribution Team is responsible for managingvarious Warehouse Management solutions within TJX IT. The organization delivers capabilities that enrich the customer experience and provide business value. We seek a motivated, talentedSenior Engineerwith good understanding of WMS and Labor Management As a Senior Engineer in Retail Warehouse Management Systems, you will be instrumental in all technical aspects of managing and configuring the Manhattan WMS/LMS to complement our warehouse operations. The role would also entail designing solutions that integrate Manhattan WMS with external systems triage technical issues (within Manhattan WMS logs to tracing upstream and downstream systems to identify issues, facilitate meetings with cross functional teams to resolve issues, provide input in Manhattan extension designs to ensure they are scalable. What you'll need The Global Supply Chain - Retail Distribution Team thrives on strong relationships with our business partners and works diligently to address their needs, which supports TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team you will be constantly challenged to stretch and think outside the box. You will be working with product teams, architecture and business partners to strategically plan and deliver the product features by connecting the technical and business worlds. You will need to break down complex problems into steps that drive product development while keeping product quality and security as the priority. You will be responsible for most architecture, design and technical decisions within the assigned scope. Minimum Qualifications Bachelor's Degree or equivalent Engineering skillset 3-5 years of development experiencewith medium to large bespoke developed software solutions Agilepractitioner- Scrum/Kanban/SAFeenvironment Hands-on experience with Warehouse management operations and Configuration of COTS product Knowledge of Labor Management, Engineering standards Ability to work in distributed teams and develop multi-level relationships. Ability to lead and develop medium to large scale features/capabilities working with the product/platform/infrastructure/security teams. Responsible for achieving operational excellence as part of delivering feature. Excellent communication skills, ability to influence those around you Ability to understand the work environment and competing priorities in conjunction with developing/meeting project goals Shows a positive, open-minded and can-do attitude Strong engineering mindset, preferably with full stack experience Preferred Qualifications Knowledge of and experience with on-premise (Manhattan WMS/LMS 2018 On Prem) or cloud-based (Manhattan Active WMS/LMS) packaged software solutions and custom development. Ability to work in distributed teams and develop multi-level relationships. Personal drive for contributing to inclusion & diversity initiatives. Preferred Technical Skills: Integration Configuration: Setting up listeners, batch jobs, and message formats. Network and Printer Setup: Configuring networks and printers. Performance Testing: Designing and executing performance tests. Configuration Management: Managing and migrating configuration profiles. Defect Analysis: Analyzing and triaging defects. Extension Development: Developing and understanding extensions. Warehouse Management System (WMS): Configuring various WMS components (company details, user roles, system codes, etc.). Task Management: Configuring tasks and task paths. Putaway and Allocation: Configuring putaway types, zones, and allocation rules. Replenishment and Picking: Setting up replenishment triggers and picking parameters. Inventory Management: Managing inventory and cycle counts. System Integration: Integrating WMS with other systems and automation. SQL Skills: Writing and optimizing SQL queries. Purge and Archive: Managing data archiving and purging processes. Security and Access Control: Defining roles, permissions, and user provisioning. Dashboard Creation: Creating and managing dashboards. Printer Troubleshooting: Setting up and troubleshooting printers. Technical Configuration: Setting up servers, alerts, and monitoring. Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long-term disability; paid holidays/vacation /sick/bereavement/parental leave; EAP; incentive programs for management; auto/home insurance discounts; tuition reimbursement; scholarship program; adoption/surrogacy assistance; smoking cessation; child care/cell phone discounts; pet/legal insurance; credit union; referral bonuses. All benefits are subject to applicable plan or program terms (including eligibility terms) and may change from time to time. Contact your TJX representative for more information. In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: 770 Cochituate Rd Location: USA Home Office Framingham MA 770 Cochituate Rd This position has a starting salary range of $91,200.00 to $(phone number removed) per year. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This position is eligible for an annual incentive.
Mar 18, 2026
Full time
TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you're working in our four global Home Offices, Distribution Centers or Retail Stores-TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you'll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family-a Fortune 100 company and the world's leading off-price retailer. Job Description: Senior Engineer - Supply Chain What you'll discover Inclusive culture and career growth opportunities Global IT Organization which collaborates across U.S., Canada, Europe and Australia, click here to learn more Challenging, collaborative, and team-based environment What you'll do The Global Supply Chain - Retail Distribution Team is responsible for managingvarious Warehouse Management solutions within TJX IT. The organization delivers capabilities that enrich the customer experience and provide business value. We seek a motivated, talentedSenior Engineerwith good understanding of WMS and Labor Management As a Senior Engineer in Retail Warehouse Management Systems, you will be instrumental in all technical aspects of managing and configuring the Manhattan WMS/LMS to complement our warehouse operations. The role would also entail designing solutions that integrate Manhattan WMS with external systems triage technical issues (within Manhattan WMS logs to tracing upstream and downstream systems to identify issues, facilitate meetings with cross functional teams to resolve issues, provide input in Manhattan extension designs to ensure they are scalable. What you'll need The Global Supply Chain - Retail Distribution Team thrives on strong relationships with our business partners and works diligently to address their needs, which supports TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team you will be constantly challenged to stretch and think outside the box. You will be working with product teams, architecture and business partners to strategically plan and deliver the product features by connecting the technical and business worlds. You will need to break down complex problems into steps that drive product development while keeping product quality and security as the priority. You will be responsible for most architecture, design and technical decisions within the assigned scope. Minimum Qualifications Bachelor's Degree or equivalent Engineering skillset 3-5 years of development experiencewith medium to large bespoke developed software solutions Agilepractitioner- Scrum/Kanban/SAFeenvironment Hands-on experience with Warehouse management operations and Configuration of COTS product Knowledge of Labor Management, Engineering standards Ability to work in distributed teams and develop multi-level relationships. Ability to lead and develop medium to large scale features/capabilities working with the product/platform/infrastructure/security teams. Responsible for achieving operational excellence as part of delivering feature. Excellent communication skills, ability to influence those around you Ability to understand the work environment and competing priorities in conjunction with developing/meeting project goals Shows a positive, open-minded and can-do attitude Strong engineering mindset, preferably with full stack experience Preferred Qualifications Knowledge of and experience with on-premise (Manhattan WMS/LMS 2018 On Prem) or cloud-based (Manhattan Active WMS/LMS) packaged software solutions and custom development. Ability to work in distributed teams and develop multi-level relationships. Personal drive for contributing to inclusion & diversity initiatives. Preferred Technical Skills: Integration Configuration: Setting up listeners, batch jobs, and message formats. Network and Printer Setup: Configuring networks and printers. Performance Testing: Designing and executing performance tests. Configuration Management: Managing and migrating configuration profiles. Defect Analysis: Analyzing and triaging defects. Extension Development: Developing and understanding extensions. Warehouse Management System (WMS): Configuring various WMS components (company details, user roles, system codes, etc.). Task Management: Configuring tasks and task paths. Putaway and Allocation: Configuring putaway types, zones, and allocation rules. Replenishment and Picking: Setting up replenishment triggers and picking parameters. Inventory Management: Managing inventory and cycle counts. System Integration: Integrating WMS with other systems and automation. SQL Skills: Writing and optimizing SQL queries. Purge and Archive: Managing data archiving and purging processes. Security and Access Control: Defining roles, permissions, and user provisioning. Dashboard Creation: Creating and managing dashboards. Printer Troubleshooting: Setting up and troubleshooting printers. Technical Configuration: Setting up servers, alerts, and monitoring. Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long-term disability; paid holidays/vacation /sick/bereavement/parental leave; EAP; incentive programs for management; auto/home insurance discounts; tuition reimbursement; scholarship program; adoption/surrogacy assistance; smoking cessation; child care/cell phone discounts; pet/legal insurance; credit union; referral bonuses. All benefits are subject to applicable plan or program terms (including eligibility terms) and may change from time to time. Contact your TJX representative for more information. In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: 770 Cochituate Rd Location: USA Home Office Framingham MA 770 Cochituate Rd This position has a starting salary range of $91,200.00 to $(phone number removed) per year. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This position is eligible for an annual incentive.
AWS Devops Engineer My Government financial client is looking for an experienced AWS DevOps Engineer to join its technical AWS Devops team on a permanent basis. This role requires a candidate with around 10 years of AWS Devops experience so is not entry level. The role is based out of either London, Leeds or Edinburgh and offers hybrid working with 2 days a week on site. You must also either have current valid SC Security Clearance or meet the criteria to be able to achieve SC Clearance Status tion This role is ideal for someone with strong technical troubleshooting skills, a proactive mindset, and the ability to balance stability with continuous improvement. It is to work on a cloud transformation project Technical DevOps Skills Required AWS Services ( Route53, S3, EC2, ECS, ECR, VPC, IAM, Lambda, DynamoDB, Cloudfront) AWS Services (TGW, RDS etc.) Cloud formation & Terraform Jenkins & GIT (Gitflow) - Github Pkgs, Nexus, ECR Scripting (Shell/Python/Groovy) Build Tool : Maven, NPM RHEL (Linux System Administration) Monitoring Tools (Cloud watch, Data Dog) AWS Platform (Control Tower, Organization, Security Services) VPC (All Networking including R53) and Apigee and Cloudflare Chef , Ansible and Redhat IDM Docker (Dockerfile, docker-compose, docker-cli) Github Administration, Github Actions (Workflows), AWS Code Build Github Advance Security (SAST, DAST) Awareness about AWS Sec Tools and KMS management Key Duties Github Administration, Github Actions (Workflows), AWS Code BuildSolution Delivery Design, deliver, and support secure and scalable AWS infrastructure using services like EC2, S3, ECS, and FARGATE Security & Compliance Integrate SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) tools into CI/CD pipelines to enforce secure development practices Infrastructure Automation Automate infrastructure provisioning using CloudFormation, Terraform, or CDK Configuration Management Use tools like Chef and Ansible for automated server configuration, patching, and environment standardization CI/CD Integration Build and manage CI/CD pipelines with Jenkins, GitHub Actions, or AWS Code Pipeline Linux Systems &Troubleshooting Perform administrative and troubleshooting tasks on Linux-based systems, including log analysis and performance tuning. Lead technical triage and root cause analysis for infrastructure-related issues Containerization & Orchestration Develop and deploy applications using Docker and AWS FARGATE Monitoring & Optimization Use CloudWatch, CloudTrail, and third-party tools like Datadog for performance and cost efficiency Networking & Governance Configure AWS networking (VPCs, TGWs), enforce governance via AWS Config and tagging policies Documentation & Collaboration Maintain architecture diagrams, SOPs, and collaborate across engineering and product team So don't delay an apply today as we are looking for the right candidate to start ASAP. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Mar 18, 2026
Full time
AWS Devops Engineer My Government financial client is looking for an experienced AWS DevOps Engineer to join its technical AWS Devops team on a permanent basis. This role requires a candidate with around 10 years of AWS Devops experience so is not entry level. The role is based out of either London, Leeds or Edinburgh and offers hybrid working with 2 days a week on site. You must also either have current valid SC Security Clearance or meet the criteria to be able to achieve SC Clearance Status tion This role is ideal for someone with strong technical troubleshooting skills, a proactive mindset, and the ability to balance stability with continuous improvement. It is to work on a cloud transformation project Technical DevOps Skills Required AWS Services ( Route53, S3, EC2, ECS, ECR, VPC, IAM, Lambda, DynamoDB, Cloudfront) AWS Services (TGW, RDS etc.) Cloud formation & Terraform Jenkins & GIT (Gitflow) - Github Pkgs, Nexus, ECR Scripting (Shell/Python/Groovy) Build Tool : Maven, NPM RHEL (Linux System Administration) Monitoring Tools (Cloud watch, Data Dog) AWS Platform (Control Tower, Organization, Security Services) VPC (All Networking including R53) and Apigee and Cloudflare Chef , Ansible and Redhat IDM Docker (Dockerfile, docker-compose, docker-cli) Github Administration, Github Actions (Workflows), AWS Code Build Github Advance Security (SAST, DAST) Awareness about AWS Sec Tools and KMS management Key Duties Github Administration, Github Actions (Workflows), AWS Code BuildSolution Delivery Design, deliver, and support secure and scalable AWS infrastructure using services like EC2, S3, ECS, and FARGATE Security & Compliance Integrate SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) tools into CI/CD pipelines to enforce secure development practices Infrastructure Automation Automate infrastructure provisioning using CloudFormation, Terraform, or CDK Configuration Management Use tools like Chef and Ansible for automated server configuration, patching, and environment standardization CI/CD Integration Build and manage CI/CD pipelines with Jenkins, GitHub Actions, or AWS Code Pipeline Linux Systems &Troubleshooting Perform administrative and troubleshooting tasks on Linux-based systems, including log analysis and performance tuning. Lead technical triage and root cause analysis for infrastructure-related issues Containerization & Orchestration Develop and deploy applications using Docker and AWS FARGATE Monitoring & Optimization Use CloudWatch, CloudTrail, and third-party tools like Datadog for performance and cost efficiency Networking & Governance Configure AWS networking (VPCs, TGWs), enforce governance via AWS Config and tagging policies Documentation & Collaboration Maintain architecture diagrams, SOPs, and collaborate across engineering and product team So don't delay an apply today as we are looking for the right candidate to start ASAP. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Overview We are seeking a highly skilled CRM Administrator on behalf of a client based in Halesfield. The successful candidate will be responsible for managing and optimising our Customer Relationship Management systems, ensuring seamless integration with various platforms and maintaining system security and performance. The ideal applicant will possess extensive experience in system administration, solution architecture, and a broad range of IT skills, including database management. Hours of work are Monday - Friday, 9am-5pm. Responsibilities Administering and updating our company systems and CRM Checking daily new and outstanding tasks. Calling customers to see if further information is required. Reviewing sales emails to identify next stage of quotation Check Order documentation. Answering telephones Liaising with sales to sort out the enquiries to a final quotation required standard. Filing and emailing Requirements Sales B to C experience preferred. Good computer skills and previous experience of working with a CRM system. Ability to verbally communicate quickly and effectively with prospective customers. A positive, polite, friendly and approachable attitude. Fantastic communication skills. Eye for detail Excellent time keeping. You will need to be able to work alone and as part of a team. Temp to perm for the right candidate.
Mar 18, 2026
Full time
Overview We are seeking a highly skilled CRM Administrator on behalf of a client based in Halesfield. The successful candidate will be responsible for managing and optimising our Customer Relationship Management systems, ensuring seamless integration with various platforms and maintaining system security and performance. The ideal applicant will possess extensive experience in system administration, solution architecture, and a broad range of IT skills, including database management. Hours of work are Monday - Friday, 9am-5pm. Responsibilities Administering and updating our company systems and CRM Checking daily new and outstanding tasks. Calling customers to see if further information is required. Reviewing sales emails to identify next stage of quotation Check Order documentation. Answering telephones Liaising with sales to sort out the enquiries to a final quotation required standard. Filing and emailing Requirements Sales B to C experience preferred. Good computer skills and previous experience of working with a CRM system. Ability to verbally communicate quickly and effectively with prospective customers. A positive, polite, friendly and approachable attitude. Fantastic communication skills. Eye for detail Excellent time keeping. You will need to be able to work alone and as part of a team. Temp to perm for the right candidate.
Job Title: CyberArk Architect Location: London - 2 days per week Salary/Rate: Up to £600 per day inside IR35 Start Date: 20/04/2026 Job Type: Contract - 6 months Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled CyberArk Architect to join their team for a six-month contract. Working on an Identity & Access Management (IAM) as part of an IT Controls Remediation programme delivering Privileged Access Management (PAM) with CyberArk and Identity Governance & Administration (IGA) with Saviynt. Further Integration with Workday (HR) as the authoritative source of identity and ServiceNow for access request workflows and operational processes. The CyberArk PAM Architect will define and deliver the end-to-end architecture for a major Privileged Access Management implementation. This includes design of the CyberArk CorePAS platform, onboarding strategy for privileged accounts, vaulting, session control, credential rotation, JIT access, and integration with enterprise systems including AD, Entra ID, ServiceNow, and infrastructure/security tooling. The role will be responsible for ensuring strong security foundations, scalable platform design, privileged account discovery, and embedding operational processes aligned to enterprise security controls. Job Responsibilities/Objectives Own the overall CyberArk architectural blueprint, covering: Vault environment, PSM (Privileged Session Manager), CPM (Credential Provider Manager), Conjur or Alero (if applicable), EPM (Endpoint Privilege Management), JIT access and least privilege models Produce architectural artefacts: HLD, LLD, data flow diagrams, platform topology. Define privileged account onboarding strategy and classification model. Develop vaulting and credential rotation standards. Create session monitoring and audit strategies. Architect PAM operational model (day-to-day vault admin, break-glass, emergency access). Integrate CyberArk with:AD/Entra ID for authentication and group-based access, Windows/Linux/UNIX Servers, Databases, network devices, cloud platforms, ServiceNow for privileged access request workflows, SIEM/SOAR for alerting and monitoring Define API integrations for application credential management. Ensure PAM design aligns to:Zero Trust, NIST 800-53/800-63, CIS Controls, Internal SOX/ISO27001 requirements Implement controls for least privilege, JIT elevation, and removal of standing privileges. Act as the technical authority for PAM engineering teams. Validate configurations, policies, platform hardening, and onboarding plans. Define reusable design patterns for application onboarding. Required Skills/Experience The ideal candidate will have the following: IAM/PAM roles with strong experience as a CyberArk Architect. Hands-on experience designing and implementing: CyberArk Vault, PSM/PSMP, CPM and PVWA Strong understanding of privileged account classification, credential rotation, session monitoring, and JIT models. Experience onboarding:Windows/Linux Servers, Databases, Network devices, Cloud services (AWS/Azure) Experience integrating CyberArk with ServiceNow, SIEM, SSO, and enterprise directories. Desirable Skills/Experience Although not essential, the following skills are desired by the client: CyberArk CDE/CPE/CIM certifications (highly desirable). Experience in highly regulated environments (Banking/Insurance/Energy). Knowledge of DevOps secrets management and modern cloud PAM patterns. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Mar 18, 2026
Contractor
Job Title: CyberArk Architect Location: London - 2 days per week Salary/Rate: Up to £600 per day inside IR35 Start Date: 20/04/2026 Job Type: Contract - 6 months Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled CyberArk Architect to join their team for a six-month contract. Working on an Identity & Access Management (IAM) as part of an IT Controls Remediation programme delivering Privileged Access Management (PAM) with CyberArk and Identity Governance & Administration (IGA) with Saviynt. Further Integration with Workday (HR) as the authoritative source of identity and ServiceNow for access request workflows and operational processes. The CyberArk PAM Architect will define and deliver the end-to-end architecture for a major Privileged Access Management implementation. This includes design of the CyberArk CorePAS platform, onboarding strategy for privileged accounts, vaulting, session control, credential rotation, JIT access, and integration with enterprise systems including AD, Entra ID, ServiceNow, and infrastructure/security tooling. The role will be responsible for ensuring strong security foundations, scalable platform design, privileged account discovery, and embedding operational processes aligned to enterprise security controls. Job Responsibilities/Objectives Own the overall CyberArk architectural blueprint, covering: Vault environment, PSM (Privileged Session Manager), CPM (Credential Provider Manager), Conjur or Alero (if applicable), EPM (Endpoint Privilege Management), JIT access and least privilege models Produce architectural artefacts: HLD, LLD, data flow diagrams, platform topology. Define privileged account onboarding strategy and classification model. Develop vaulting and credential rotation standards. Create session monitoring and audit strategies. Architect PAM operational model (day-to-day vault admin, break-glass, emergency access). Integrate CyberArk with:AD/Entra ID for authentication and group-based access, Windows/Linux/UNIX Servers, Databases, network devices, cloud platforms, ServiceNow for privileged access request workflows, SIEM/SOAR for alerting and monitoring Define API integrations for application credential management. Ensure PAM design aligns to:Zero Trust, NIST 800-53/800-63, CIS Controls, Internal SOX/ISO27001 requirements Implement controls for least privilege, JIT elevation, and removal of standing privileges. Act as the technical authority for PAM engineering teams. Validate configurations, policies, platform hardening, and onboarding plans. Define reusable design patterns for application onboarding. Required Skills/Experience The ideal candidate will have the following: IAM/PAM roles with strong experience as a CyberArk Architect. Hands-on experience designing and implementing: CyberArk Vault, PSM/PSMP, CPM and PVWA Strong understanding of privileged account classification, credential rotation, session monitoring, and JIT models. Experience onboarding:Windows/Linux Servers, Databases, Network devices, Cloud services (AWS/Azure) Experience integrating CyberArk with ServiceNow, SIEM, SSO, and enterprise directories. Desirable Skills/Experience Although not essential, the following skills are desired by the client: CyberArk CDE/CPE/CIM certifications (highly desirable). Experience in highly regulated environments (Banking/Insurance/Energy). Knowledge of DevOps secrets management and modern cloud PAM patterns. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Title: Power Platform Developer Location: Hull, UK (Hybrid / Office) Salary: £26,660 - £32,000 per annum Job type: Full-time, Permanent Reality Solutions is a leading regional IT Solutions Provider and Sage Accredited Business Partner based in Hull. We are looking for a Power Platform Developer (Junior to Mid-Level) to join our team and support the delivery of business-critical applications built on Microsoft Power Platform. About the role You will work on both new and existing projects, including model-driven and canvas applications, integrations with Dataverse, and reporting solutions. This role is suitable for someone with solid foundational experience who is ready to take ownership of features and grow into greater responsibility. Key Responsibilities: Design and develop Canvas and Model-Driven Power Apps Build and maintain solutions using Dataverse Develop and optimise Power Automate flows Support solution architecture and core framework implementation Create and maintain reporting forms and data capture processes Contribute to UX improvements, particularly for mobile users Participate in testing, debugging, and performance optimisation Document solutions and support handover where required Work closely with project leads and stakeholders to refine requirements About you We are looking for a candidate with a strong problem-solving mindset and clean, maintainable development practices. You should have a willingness to take ownership of workstreams, clear communication skills, and the ability to work in a fast-paced project environment. Required Skills & Experience: 1-4 years' experience working with Microsoft Power Platform Practical experience building Canvas Apps Experience with Model-Driven Apps Good understanding of Dataverse data modelling Experience building Power Automate workflows Familiarity with security roles and environment management Understanding of solution deployment and ALM concepts Comfortable working independently on defined tasks Desirable Skills: Experience with embedded Canvas apps within Model-Driven apps Power Platform admin experience Integration experience (REST APIs, Azure Functions, SharePoint, etc.) Experience building reports (Power BI or in-app reporting) Exposure to Power Apps Component Framework (PCF) Experience supporting mobile-first applications Programming experience in VB/C# .NET & JavaScript What we offer Varied work across multiple business systems Opportunity to modernise legacy applications Exposure to full development lifecycle Supportive team environment with room to grow Healthy balanced work-life environment Please click the APPLY button to send your CV and covering letter for this role. Candidates with the relevant experience and job titles of; . Power Platform Developer, Power Apps Developer, Microsoft 365 Developer, Dynamics 365 Specialist, Low Code Developer, Power Automate Consultant, and Dataverse Specialist may be suitable for this role.
Mar 18, 2026
Full time
Job Title: Power Platform Developer Location: Hull, UK (Hybrid / Office) Salary: £26,660 - £32,000 per annum Job type: Full-time, Permanent Reality Solutions is a leading regional IT Solutions Provider and Sage Accredited Business Partner based in Hull. We are looking for a Power Platform Developer (Junior to Mid-Level) to join our team and support the delivery of business-critical applications built on Microsoft Power Platform. About the role You will work on both new and existing projects, including model-driven and canvas applications, integrations with Dataverse, and reporting solutions. This role is suitable for someone with solid foundational experience who is ready to take ownership of features and grow into greater responsibility. Key Responsibilities: Design and develop Canvas and Model-Driven Power Apps Build and maintain solutions using Dataverse Develop and optimise Power Automate flows Support solution architecture and core framework implementation Create and maintain reporting forms and data capture processes Contribute to UX improvements, particularly for mobile users Participate in testing, debugging, and performance optimisation Document solutions and support handover where required Work closely with project leads and stakeholders to refine requirements About you We are looking for a candidate with a strong problem-solving mindset and clean, maintainable development practices. You should have a willingness to take ownership of workstreams, clear communication skills, and the ability to work in a fast-paced project environment. Required Skills & Experience: 1-4 years' experience working with Microsoft Power Platform Practical experience building Canvas Apps Experience with Model-Driven Apps Good understanding of Dataverse data modelling Experience building Power Automate workflows Familiarity with security roles and environment management Understanding of solution deployment and ALM concepts Comfortable working independently on defined tasks Desirable Skills: Experience with embedded Canvas apps within Model-Driven apps Power Platform admin experience Integration experience (REST APIs, Azure Functions, SharePoint, etc.) Experience building reports (Power BI or in-app reporting) Exposure to Power Apps Component Framework (PCF) Experience supporting mobile-first applications Programming experience in VB/C# .NET & JavaScript What we offer Varied work across multiple business systems Opportunity to modernise legacy applications Exposure to full development lifecycle Supportive team environment with room to grow Healthy balanced work-life environment Please click the APPLY button to send your CV and covering letter for this role. Candidates with the relevant experience and job titles of; . Power Platform Developer, Power Apps Developer, Microsoft 365 Developer, Dynamics 365 Specialist, Low Code Developer, Power Automate Consultant, and Dataverse Specialist may be suitable for this role.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
PAM Architect - CyberArk The PAM architect will have strong CyberArk experience to define and deliver the end-to-end architecture for a major Privileged Access Management implementation. This includes design of the CyberArk CorePAS platform, onboarding strategy for privileged accounts, vaulting, session control, credential rotation, JIT access, and integration with enterprise systems including AD, Entra ID, ServiceNow, and infrastructure/security tooling. Experience and skills required: - PAM - Saviynt - CyberArk Vault - Integration architecture The role is inside IR35 and for 3 months initially. The work is based on a hybrid working model with two days in the office in Central London each week. To be considered for the position please send your latest CV over. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
Mar 18, 2026
Contractor
PAM Architect - CyberArk The PAM architect will have strong CyberArk experience to define and deliver the end-to-end architecture for a major Privileged Access Management implementation. This includes design of the CyberArk CorePAS platform, onboarding strategy for privileged accounts, vaulting, session control, credential rotation, JIT access, and integration with enterprise systems including AD, Entra ID, ServiceNow, and infrastructure/security tooling. Experience and skills required: - PAM - Saviynt - CyberArk Vault - Integration architecture The role is inside IR35 and for 3 months initially. The work is based on a hybrid working model with two days in the office in Central London each week. To be considered for the position please send your latest CV over. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
The School Information Systems (SIS) and Data Systems Specialist is a non-teaching, operational role within the Technology, Information Literacy, and Media (TILM) department. The primary responsibility of the role is the day-to-day administration, configuration, and effective operation of the Student Information System (Veracross), which is a core platform underpinning the school's academic and operational processes. Alongside this core responsibility, the role contributes to the development, maintenance, and improvement of applications, data workflows, and automations that support the school's operations. While application development and automation form an important part of the role, particularly over time, stewardship of Veracross, data integrity, and reliable system operation are the priority, especially during the initial period in post. The SIS and Data Systems Specialist reports to and works under the direction of the Network and Data Integration Manager. All development, configuration, and integration work is undertaken within agreed priorities and architectural oversight, ensuring alignment with departmental strategy, security expectations, and school needs. Summary of Major Responsibilities Veracross Administration and Development: Manage the day-to-day administration and configuration of the Veracross Student Information System. Configure schedules, calendars, parent conferences, access controls, and user permissions. Maintain data quality, data integrity, and appropriate access across Veracross modules. Produce reports, data extracts, and imports to support academic and operational teams. Use Veracross APIs, data structures, and tools to develop integrations, scripts, and automations. Applications and Automation: Develop and maintain scripts, workflows, and lightweight applications that improve operational efficiency. Support the design and development of in-house applications to meet school needs. Migrate legacy solutions, including FileMaker Pro databases and applications, to modern and sustainable platforms. Data and Systems Support: Support data flows and integrations between Veracross and other school systems under the guidance of the Digital Integration Manager. Lead and support the data rostering (students and staff) for internal and external assessments including NWEA MAP, ACER ISA, and aimswebPlus in coordination with the Office of Teaching & Learning. Troubleshoot application, data, and integration issues and escalate where appropriate. Maintain clear technical documentation for configurations, scripts, and applications. Security: Apply secure development and administration practices in all work. Follow data protection, access control, and safeguarding requirements when handling systems and data. Identify and escalate risks, data issues, or security concerns appropriately. Collaboration and Professional Growth: Work collaboratively with colleagues across academic and operational teams to understand requirements and deliver effective technical solutions. Respond to and resolve assigned Helpdesk tickets related to Veracross, applications, data, and integrations, in line with departmental service expectations. Escalate issues appropriately and keep stakeholders informed of progress. Participate in team meetings, planning, and professional development. Perform other duties within the scope, spirit, and purpose of the role, as requested by the Digital Integration Manager or Director of Technology. Essential Qualifications/Experience: Experience working with application platforms, databases, or information systems. Demonstrable experience with scripting, automation, or application development. Experience working with structured data and reporting. Strong problem-solving skills and attention to detail. Ability to work collaboratively and take technical direction. Strong written and verbal communication skills. A proven commitment to safeguarding and the welfare of children and young people. Desirable Qualifications / Experience: Experience working with Veracross or a comparable Student Information System. Experience with FileMaker. Experience with AppSheet. Experience with APIs, data integrations, and workflow automation. Experience migrating or modernizing legacy systems. Experience working in a school or similar complex organization. This position description is current at the date shown but following consultation may be changed to reflect or anticipate changes in the role that are commensurate with the job title and salary. The American School in London is committed to safeguarding and promoting the welfare of children and young people and expects all trustees, employees and volunteers to share this commitment. All new appointments will be subject to appropriate checks: Disclosure and Barring Service (DBS enhanced), Disqualification by Association Self-Declaration, Declaration of Criminal Record, checks against the Teaching Regulation Agency (TRA) Prohibition List (Teacher Status Checks) including Identity, Address, Date of Birth, a Full Employment History, Right to Work in the UK, overseas checks where applicable, at least 2 references (one with current or most recent employer, where appropriate) and original documentation of Qualifications (where appropriate). For positions into Senior Management a Prohibition from Management Check (s128 Directive) will also be undertaken. All posts involving direct contact with children are exempt from the Rehabilitation of Offenders Act 1974. However, amendments to the Exceptions Order 1975 (2013 & 2020) provide that certain spent convictions and cautions are 'protected'. These are not subject to disclosure to employers and cannot be taken into account. Guidance and criteria on the filtering of these cautions and convictions can be found on the Ministry of Justice website. Shortlisted candidates will be asked to provide details of all unspent convictions and those that would not be filtered, prior to the date of the interview. You may be asked for further information about your criminal history during the recruitment process. If your application is successful, this self-disclosure information will be checked against information from the Disclosure & Barring Service before your appointment is confirmed. ASL is dedicated to fostering courageous global citizenship in a diverse and inclusive school environment. In our international community, we aspire for the cultures and backgrounds of our employees to mirror those of our families and student body, and we enthusiastically welcome applications from candidates who bring diverse life experiences, perspectives and skills. Educators with knowledge of global education and prospective applicants for any position who are committed to diversity and inclusion are particularly welcome to apply. The American School in London will not discriminate against an applicant or employee based on race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, genetic information, gender identity or expression, sexual orientation, marital status, maternity or parental status, or any other legally recognised protected basis under local law. Read our Diversity, Equity and Inclusion statement here .
Mar 18, 2026
Full time
The School Information Systems (SIS) and Data Systems Specialist is a non-teaching, operational role within the Technology, Information Literacy, and Media (TILM) department. The primary responsibility of the role is the day-to-day administration, configuration, and effective operation of the Student Information System (Veracross), which is a core platform underpinning the school's academic and operational processes. Alongside this core responsibility, the role contributes to the development, maintenance, and improvement of applications, data workflows, and automations that support the school's operations. While application development and automation form an important part of the role, particularly over time, stewardship of Veracross, data integrity, and reliable system operation are the priority, especially during the initial period in post. The SIS and Data Systems Specialist reports to and works under the direction of the Network and Data Integration Manager. All development, configuration, and integration work is undertaken within agreed priorities and architectural oversight, ensuring alignment with departmental strategy, security expectations, and school needs. Summary of Major Responsibilities Veracross Administration and Development: Manage the day-to-day administration and configuration of the Veracross Student Information System. Configure schedules, calendars, parent conferences, access controls, and user permissions. Maintain data quality, data integrity, and appropriate access across Veracross modules. Produce reports, data extracts, and imports to support academic and operational teams. Use Veracross APIs, data structures, and tools to develop integrations, scripts, and automations. Applications and Automation: Develop and maintain scripts, workflows, and lightweight applications that improve operational efficiency. Support the design and development of in-house applications to meet school needs. Migrate legacy solutions, including FileMaker Pro databases and applications, to modern and sustainable platforms. Data and Systems Support: Support data flows and integrations between Veracross and other school systems under the guidance of the Digital Integration Manager. Lead and support the data rostering (students and staff) for internal and external assessments including NWEA MAP, ACER ISA, and aimswebPlus in coordination with the Office of Teaching & Learning. Troubleshoot application, data, and integration issues and escalate where appropriate. Maintain clear technical documentation for configurations, scripts, and applications. Security: Apply secure development and administration practices in all work. Follow data protection, access control, and safeguarding requirements when handling systems and data. Identify and escalate risks, data issues, or security concerns appropriately. Collaboration and Professional Growth: Work collaboratively with colleagues across academic and operational teams to understand requirements and deliver effective technical solutions. Respond to and resolve assigned Helpdesk tickets related to Veracross, applications, data, and integrations, in line with departmental service expectations. Escalate issues appropriately and keep stakeholders informed of progress. Participate in team meetings, planning, and professional development. Perform other duties within the scope, spirit, and purpose of the role, as requested by the Digital Integration Manager or Director of Technology. Essential Qualifications/Experience: Experience working with application platforms, databases, or information systems. Demonstrable experience with scripting, automation, or application development. Experience working with structured data and reporting. Strong problem-solving skills and attention to detail. Ability to work collaboratively and take technical direction. Strong written and verbal communication skills. A proven commitment to safeguarding and the welfare of children and young people. Desirable Qualifications / Experience: Experience working with Veracross or a comparable Student Information System. Experience with FileMaker. Experience with AppSheet. Experience with APIs, data integrations, and workflow automation. Experience migrating or modernizing legacy systems. Experience working in a school or similar complex organization. This position description is current at the date shown but following consultation may be changed to reflect or anticipate changes in the role that are commensurate with the job title and salary. The American School in London is committed to safeguarding and promoting the welfare of children and young people and expects all trustees, employees and volunteers to share this commitment. All new appointments will be subject to appropriate checks: Disclosure and Barring Service (DBS enhanced), Disqualification by Association Self-Declaration, Declaration of Criminal Record, checks against the Teaching Regulation Agency (TRA) Prohibition List (Teacher Status Checks) including Identity, Address, Date of Birth, a Full Employment History, Right to Work in the UK, overseas checks where applicable, at least 2 references (one with current or most recent employer, where appropriate) and original documentation of Qualifications (where appropriate). For positions into Senior Management a Prohibition from Management Check (s128 Directive) will also be undertaken. All posts involving direct contact with children are exempt from the Rehabilitation of Offenders Act 1974. However, amendments to the Exceptions Order 1975 (2013 & 2020) provide that certain spent convictions and cautions are 'protected'. These are not subject to disclosure to employers and cannot be taken into account. Guidance and criteria on the filtering of these cautions and convictions can be found on the Ministry of Justice website. Shortlisted candidates will be asked to provide details of all unspent convictions and those that would not be filtered, prior to the date of the interview. You may be asked for further information about your criminal history during the recruitment process. If your application is successful, this self-disclosure information will be checked against information from the Disclosure & Barring Service before your appointment is confirmed. ASL is dedicated to fostering courageous global citizenship in a diverse and inclusive school environment. In our international community, we aspire for the cultures and backgrounds of our employees to mirror those of our families and student body, and we enthusiastically welcome applications from candidates who bring diverse life experiences, perspectives and skills. Educators with knowledge of global education and prospective applicants for any position who are committed to diversity and inclusion are particularly welcome to apply. The American School in London will not discriminate against an applicant or employee based on race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, genetic information, gender identity or expression, sexual orientation, marital status, maternity or parental status, or any other legally recognised protected basis under local law. Read our Diversity, Equity and Inclusion statement here .
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
