3429 jobs found

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.

Senior Systems Developer Permanent, Full time, Hybrid Working (minimum of 2 days per week in the office) Location: This role can be based in any of our UK offices - Cardiff, Edinburgh, London, Warrington Salary: £45,732 per year for Cardiff, Edinburgh, Warrington. £50,614 per year for London About us Christian Aid exists to create a world where everyone can live a full life, free from poverty. We are a global movement of people, churches and local organisations who passionately champion dignity, equality and justice worldwide. We are the changemakers, the peacemakers, the mighty of heart. We re committed to building a diverse and inclusive workplace, and recognise the value this brings in forming strong, creative and high performing teams. We welcome applications from all sections of the community, and from those with experience from outside of the voluntary sector. And no, you don t have to be Christian to work here we encourage people of all faiths and none to apply. We just ask that everyone lives out our values of dignity, equality, justice and love. We value a good work-life balance, so we re open to part-time and flexible working. We also offer hybrid working for our office-based colleagues. About the role In this role, you ll be a senior, hands on contributor to the design and delivery of solutions, with a particular focus on our Microsoft Dynamics platform, helping ensure it delivers meaningful outcomes across the organisation. You ll act as a technical authority within the ICT team, owning complex development work, influencing technical direction, and upholding high standards of quality, security, and maintainability. Working closely with colleagues across ICT and CRM, you'll solve complex technical challenges, champion best practice, and ensure the delivery of high-quality features that align with organisational goals. You'll build strong, open relationships with internal stakeholders and external suppliers, protect the team's focus, and introduce new technologies where they can add long-term value. As a senior practitioner in the Dynamics ecosystem, you'll provide trusted advice on platform capabilities, integration opportunities, and strategic enhancements that help the organisation get the most from its CRM systems. About you You ll bring substantial hands on experience designing and delivering solutions using Microsoft Dynamics and the Power Platform, supported by a relevant professional qualification. You have strong expertise in Dynamics customisation and extension, data modelling, integrations and APIs, and SQL Server, alongside solid experience with modern software engineering practices such as source control, automated testing, code review, and CI/CD. You re comfortable taking ownership of complex work in resource constrained environments, improving quality and reliability, and working directly with users to translate real needs into effective solutions. You understand the long term impact of technical decisions and are able to balance pragmatism with sound design. Ideally, you ll also bring Microsoft certifications, experience working in a not for profit or mission driven context, and familiarity with Azure or similar cloud platforms. Above all, you re a collaborative and credible senior developer who communicates clearly, works effectively with suppliers and non technical colleagues, and influences technical decisions through expertise and judgment. You value learning and contribute positively to a culture of continuous improvement. Please see the role profile for a detailed breakdown of the skills, knowledge and experience required for this role. Further information At Christian Aid we strive to be an inclusive and diverse employer and recognise the value that this brings in helping to build strong, creative and high performing teams. We are actively encouraging racialised minorities, LGBTQ+, people with disabilities, returning parents or carers who are re-entering work after a career break, people with caring responsibilities, people from low socioeconomic backgrounds, women, and older workers to apply. This is because these groups are under-represented within our teams, especially at senior level, and we recognise and value the contributions members of these groups make to strong, creative and high performing teams. We have a strong Christian ethos and we encourage applications from all faiths. Applicants will be expected to demonstrate an understanding of and sympathy with Christian Aid s faith identity. All successful candidates will require a DBS/police check appropriate to the role and location and a Counter Terrorism Sanction check as part of your clearance for commencing your role with us. We also participate in the Inter Agency Misconduct Disclosure Scheme . In line with this Scheme, we will request information as part of the referencing process from job applicants previous employers about any findings of sexual exploitation, sexual abuse and/or sexual harassment during employment, or incidents under investigation when the applicant left employment. By submitting an application, the job applicant confirms their understanding of these recruitment procedures. This role requires applicants to have the right to live and work in the country where this position is based and undertake the role that you have been offered. If you are successful and we make you an offer for the role, we will be required to conduct a right to work check on your immigration status in the UK. We will contact you regarding the documentation you will need to provide to evidence this.

Role Information: Job Title - Test and Validation Electrical Lead Salary - Up to 38,000 DOE Location - Merthyr Tydfil, South Wales Starting - September 2026 Why join Marshall Land Systems in this role: The Test Validation & Electrical Lead is responsible for leading all electrical test and validation activities, ensuring that systems, components and assemblies are verified against engineering specifications, regulatory standards and customer requirements prior to delivery. The role provides technical leadership and governance across electrical testing and validation, driving compliance, safety and quality while ensuring robust, repeatable test processes that support on-time delivery and right-first-time performance. Your responsibilities in this role include: Lead test planning, validation strategy and readiness in line with production schedules and project milestones Own and govern electrical test plans, procedures, standards and work instructions, ensuring consistency and compliance Oversee execution of in-process, system-level and Factory Acceptance Testing (FAT) for electrical systems and assemblies Act as the technical authority for electrical testing, including continuity, insulation resistance, functional testing and diagnostics Ensure all electrical installations are verified against schematics, wiring diagrams and technical specifications Lead complex fault finding, root cause analysis and implementation of corrective actions Own the identification, escalation and resolution of non-conformances (NCRs), ensuring robust close-out and learning capture Define and enforce quality gates, ensuring all electrical systems meet safety, compliance and performance standards prior to progression or delivery Ensure accuracy, completeness and governance of test records, certification packs and electrical compliance documentation Provide clear reporting and communication of test progress, risks and issues to senior Lead continuous improvement initiatives across test and validation processes, driving efficiency, standardisation and quality improvements Support and lead internal and external audits, ensuring adherence to electrical standards, regulatory requirements and best practice Own calibration, maintenance and safe use of electrical test equipment and instrumentation Ensure adherence to 5S and high standards of housekeeping within the test environment Provide leadership, coaching and technical guidance to test engineers and technicians Promote and enforce Health, Safety and Environmental (HSE) compliance, with a strong focus on electrical safety and safe systems of work Ensure compliance with all legal, statutory and contractual obligations Support production and project teams in resolving technical issues and improving overall product performance Apply if you have most of the following: Significant experience within a manufacturing, production or engineering environment with a strong electrical testing focus Proven experience leading or coordinating electrical testing, validation or commissioning Background in testing electrical systems, control panels, machinery or integrated systems Experience working to production schedules, project milestones and delivery targets Strong knowledge of electrical standards, regulations and quality frameworks (e.g. ISO 9001, wiring regulations) Demonstrated experience in fault finding, diagnostics and root cause analysis at system level Experience driving process improvements and standardisation within a test or engineering environment Ability to influence, guide and support cross-functional teams Technical skills/education: Relevant electrical qualification (e.g. City & Guilds, NVQ, HNC/HND or Degree in Electrical Engineering or equivalent) Strong ability to read and interpret electrical schematics, wiring diagrams and technical documentation Advanced understanding of electrical testing methodologies, validation processes and safety standards Expertise in the use of electrical test equipment (e.g. multimeters, insulation resistance testers, continuity testers and specialist instrumentation) Strong knowledge of system-level testing and integration (electrical/mechanical interface) Ability to analyse, interpret and present test data to support decision-making In-depth experience of Factory Acceptance Testing (FAT), validation and inspection processes Strong understanding of non-conformance management (NCR) and structured problem solving methodologies (e.g. root cause analysis) Excellent electrical fault-finding and diagnostic capability Additional local needs: Onsite role Successful candidates will be required to complete a BPSS check The benefits of this role include: Opportunity to lead and shape electrical test and validation activities within a complex engineering environment Development of technical leadership and subject matter expertise in electrical systems and compliance Exposure to high-value, multidisciplinary engineering projects Involvement in driving quality, safety and continuous improvement at a strategic level Cross-functional influence across production, engineering, quality and project delivery Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.

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.

Interim Head of Software Engineering London (Hybrid) 3-6 Months We are seeking an experienced Head of Software Engineering to lead a critical function within a large, complex organisation's IT Services team. You will oversee a multi-disciplinary function covering software engineering, enterprise integrations, application platforms, data engineering, reporting and analytics , ensuring the delivery of secure, resilient and scalable digital services. Key Responsibilities Lead and manage the Software Engineering function across development, integrations, platforms and data services Oversee the support, maintenance and continuous improvement of enterprise applications and platforms Ensure services are secure, reliable and resilient, with strong governance and lifecycle management Drive modernisation of systems, including reducing technical debt and improving engineering practices Define and implement technical strategy, standards and roadmaps across software, integration and data services Lead enterprise integration capability, including APIs and critical institutional data flows Manage stakeholders, priorities and resources to balance operational delivery and strategic initiatives Oversee suppliers and technology partners, including contracts and performance Experience Required Proven leadership of enterprise software engineering or technology functions within large, complex environments Strong track record delivering secure, customer-focused digital services across applications, integrations and data Experience managing operational services , including service continuity, governance and support models Expertise in modern software engineering, integration and data platforms Excellent stakeholder engagement and leadership skills Desirable Experience within Higher Education or a similar complex organisation ITIL, Agile or relevant technical certifications

Lead Data Engineer The Lead Data Engineer will play a pivotal role in designing, building, and optimising data pipelines and architecture to support analytics and business intelligence in the financial services industry. This position, based in London, requires an individual with a strong technical background and a passion for data innovation. Client Details Lead Data Engineer This opportunity is with a well-established organisation in the financial services industry. The company operates as a medium-sized enterprise, offering a professional and forward-thinking environment that values expertise in analytics and data-driven decision-making. Description Lead Data Engineer Design, develop, and maintain scalable data pipelines and systems to process large datasets efficiently. Collaborate with analytics and business teams to understand data requirements and deliver tailored solutions. Ensure data quality, integrity, and security across all systems and processes. Optimise and troubleshoot existing data architectures to improve performance and reliability. Implement best practices for data engineering, including version control, testing, and documentation. Work closely with stakeholders to provide insights and support data-driven decision-making. Stay updated on emerging technologies and trends in data engineering and apply them to enhance operations. Mentor and guide junior team members, fostering a collaborative and knowledge-sharing environment. Profile Lead Data Engineer A successful Lead Data Engineer should have: Strong experience designing and building scalable data platforms in Azure. Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines Proven ability to lead, mentor, and develop data engineering teams Hands-on experience with data warehousing, modelling, and performance tuning Solid understanding of data governance, quality, and lineage frameworks Experience implementing monitoring, automation, and platform reliability practices Strong stakeholder management skills, translating business needs into technical solutions Exposure to financial services or regulated environments with data security awareness Job Offer Lead Data Engineer A competitive salary ranging from 90,000 to 110,000 per annum. Comprehensive health and pension benefits. Generous holiday allowance to support work-life balance. Hybrid working options for greater flexibility. A permanent role with opportunities for professional growth and development. If you are ready to advance your career as a Lead Data Engineer in London within the financial services industry, we encourage you to apply today!

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.

Continuous Improvement Manager Defence Manufacturing & Engineering Sector Drive meaningful operational change within a world-class defence engineering and manufacturing environment. An exciting opportunity has arisen for a Continuous Improvement Manager to join a highly respected, globally recognised organisation operating within the defence and advanced manufacturing sector. This is a hands-on leadership role focused on driving Lean transformation, operational excellence, and measurable supply chain improvement across sourcing and procurement operations within a highly regulated engineering environment. If you thrive on solving problems, improving processes, influencing stakeholders, and delivering visible operational impact, this role offers genuine breadth, autonomy, and long-term career growth. What you'll be doing : Leading data-driven Continuous Improvement initiatives across sourcing and supply chain operations Applying Lean methodologies to improve flow, remove waste, and standardise processes Driving cross-functional improvement workshops and operational reviews Using KPIs, ERP/SAP data, and performance metrics to identify improvement opportunities Managing and developing a Continuous Improvement Analyst Supporting operational readiness within a highly regulated defence manufacturing environment Embedding a culture of operational excellence across procurement and supply chain teams We're looking for : Proven experience in Continuous Improvement / Operational Excellence roles Strong Lean toolkit experience (VSM, process mapping, root cause analysis, DMAIC/PDCA) Experience within manufacturing, engineering, defence, aerospace, supply chain, or sourcing environments Someone comfortable operating in fast-paced operational environments with multiple stakeholders A hands-on improvement leader who can influence, challenge, and drive change Experience using ERP/SAP systems and operational performance data Previous people management or mentoring experience is advantageous Why this role stands out : This isn't a "PowerPoint CI" position. You'll be embedded within a real engineering and manufacturing environment where Continuous Improvement directly impacts operational performance, delivery capability, and product quality. You'll work alongside experienced operational leaders while building broader leadership capability inside a business known for engineering excellence, innovation, and long-term investment in its people. Package & Benefits : Excellent salary + benefits Uxbridge, UK Hybrid options available after initial onboarding period Lunchtime finish every Friday Personalised development plan 9% non-contributory pension Healthcare plan Cycle to work scheme 25 days holiday + bank holidays + option to buy more leave If you're a Continuous Improvement professional looking to step into a role with genuine operational visibility, leadership responsibility, and long-term progression potential within the defence sector, I'd love to speak with you. Apply now with your CV details.

We are delighted to be supporting a Sheffield based, international manufacturing business with the recruitment of a Software Engineer - Embedded Systems. Reporting to the Senior Electronics Design Engineer, your role includes the design, development and testing of software development and maintenance. You will identify issues and work collaboratively with engineers, product managers and other stakeholders (internally and externally) to support continuous improvement of existing products and processes. You should be a practical, curious software engineer who enjoys solving real problems and learning new things as requirements evolve. The role: Develop, Maintain and problem solve the current aspects of software within the current product portfolio and future products. Reduce time to market of new features, on time delivery Improve response to failures/bugs Produce maintainable, well-structured and well-documented code Backend development Frontend/UI work Integrations and APIs Automation and tooling Cloud/infrastructure tasks Embedded software and firmware development Helping shape technical decisions Working closely with Hardware, including microcontrollers, device communication and low level systems. You: Degree in Software Engineering, Electronic Engineering, or a related technical discipline solid programming fundamentals modern web technologies and UI frameworks Python, C/C++, JavaScript and/or similar languages Git and collaborative development workflows databases and APIs cloud platforms embedded systems or firmware development interest in both software and hardware environments able to work independently and figure things out comfortable working across different parts of a system strong problem-solving skills A good communicator at all levels with the proven ability of working as part of a team. Exceptional analytical and proven solving skills Self-motivated Good time management with the ability to focus on task completion. Experience of working in organisations with ISO9001 quality management systems. Good understanding of compliance related aspects of product software Please apply for immediate consideration Shillito Group is a specialist recruitment and executive search partner, working with ambitious businesses to secure high-impact talent across commercial and engineering markets. Our reputation is built on deep expertise, trusted relationships and delivering results that go beyond the brief.

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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

The purpose of this role is the manufacture of machined components by setting and operating CNC lathes and various 3 & 5 axis vertical machining centres (night shift). Maintain quality through routine in process checks and adherence to all HSE requirements as per defined standards. Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking. Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world. CNC Machinist - Night shift - Cwmbran In the UK, Safran Seats specialises solely in the First Class and Business Class seating markets for wide body aircraft, with industrial and engineering teams in Cwmbran and Newport, Wales and Brackley, England. The purpose of this role is the manufacture of machined components by setting and operating CNC lathes and various 3 & 5 axis vertical machining centres (night shift). Maintain quality through routine in process checks and adherence to all HSE requirements as per defined standards. Key Responsibilities will include: -Download programs from the file server -Setup CNC tooling assemblies and maintain tool management system -Setup and run CNC machining centres -Prove out new NPI programs -Use Vernier's, thread gauges, plug gauges and other inspection equipment to monitor tolerance requirements as defined in the engineering data. -Perform daily / weekly maintenance tasks in accordance with machine centre maintenance plan -Maintain safe operations by adhering to safety procedures and regulations. -Participate in continuous improvement activities -Complete all necessary paper work as required. -Routine machine side OEE data entry -Work with production manager & programming team to seek opportunities to improve processes and reduce cycle times -Support team colleagues -Maintain good housekeeping in accordance with 5S processes and practices -Take responsibility for quality of own output -Perform other tasks as reasonably requested by your production manager. What We'll Offer As a valued member of our team, these are just a few of the benefits you'll receive: 33 days holiday (including bank holidays) Industry leading pension scheme with salary sacrifice employer contributions up to 10%. Private medical cover (to include Digital GP and rapid access Physio with no excess) with ability to upgrade level of benefit and cover family members. Access to salary sacrifice benefits scheme including cycle to work and Octopus EV Scheme 4 x Life Assurance Interactive benefits platform including wide range of discretionary benefits including technology, retail benefits, income protection. Enhanced family friendly policies and benefits (enhanced maternity and paternity leave) and employee assistance programme Annual share save schemes. Option for hybrid and flexible working arrangements Opportunities for career advancement and personal growth. Benefit from support through Safran University and our internal Training and Development Schools Get involved in our corporate social responsibility activities from sustainability initiatives, charity and fundraising, volunteering days, or supporting STEM activities at local schools and colleges nurturing the next generation of talent Please apply and submit your CV today! Once your CV has been reviewed, we will contact you with the next stages. This role is subject to pre-employment checks, including but not limited to criminal record checks. While having unspent convictions may not necessarily prevent you from being employed, you are required to disclose any unspent convictions during the recruitment process. Only candidates who successfully pass these checks will be considered for employment. We are committed to building a workforce that is reflective of the diverse community we serve. We want to attract the best applications from people of all backgrounds and underrepresented groups because we strongly believe in adding value through diversity, inclusion. Our employees enable us to deliver services that are accessible and inclusive. As part of our commitment with Disability Confident Employers, we may offer a guaranteed interview to applicants who meet the essential criteria for the post. We strive to provide reasonable adjustments throughout the recruitment process and employment. Let us know if you need support to showcase your talents or require any reasonable adjustments with your application. We're committed to building a strong, diverse workforce and making Safran Seats an inclusive place to work. Candidate skills: -Indentured apprentice or equivalent modern apprenticeship. -Experienced in setting and running 3 axis & 5 axis vertical machining centres and CNC lathes. -Experience with manual mills and manual lathes. -NVQ Level 2+3 Mechanical Engineering or BTEC National Diploma Mechanical Engineering (or equivalent). -Ability to use a wide range of IMTE for inspection of completed components. -Quality focused with strong attention to detail; willing to support continuous improvement. No candidate will meet every single desired qualification. If your experience looks a little different from what we've identified and you think you can bring value to the role, we'd love to hear from you! Our employees are at the heart of our success, as we work together for our sustainable future. There are four People Fundamentals that underpin life at Safran: We believe in and promote diversity and inclusion as key values across our business We develop our colleagues skills and build opportunities so you can shape our future We create a trustworthy work place to support you, as you dare to act and innovate We encourage collaboration and mutual support for you and your colleagues