6259 jobs found

General Knowledge & Experience Personal Experience - zSeries Storage Management/Engineering background preferred or experience to equivalent level - Working and partnering with vendors (eg IBM, DELL, Broadcom) - Supporting and/or leading technical management of large infrastructure deployment projects - Experience supporting large-scale enterprise IT environment and the Embedded controls within change, incident, and problem management processes - Experience working with Agile working practices and tooling - Experience and awareness of security, audit, risk and compliance within enterprise IT environment Personal Skills - Ability to work under pressure to deadlines - Strong work ethic - Collaborating with others and building a network - Strong interpersonal skills - Ability to pitch communications to a variety of stakeholders Hardware Technical Skills - IBM DS8K disk hardware installation design, upgrade and support skills including DSCLI Scripting and familiarity with HMC GUI - DELL DLM virtual tape (VTE with Data Domain) hardware installation design, upgrade and support skills with knowledge of GUI, NFS and Linux - Broadcom (Brocade) DCX hardware skills and FICON/FIBRE concepts and configuration. Set-up and utilising SanNav and Maps Software Technical Skills - IBM core knowledge: z/OS, TSO, SDSF, JCL, IDCAMS, IWS - IBM storage knowledge: DFHSM, DFDSS, ICKDSF, DFSMS (inc OAM), TDMF, GDPS, CSM - Broadcom (CA): CA1, CA Vantage, CA Disk, CA Allocate, CA View, Endeavor - Dino Software: T-rex, Terradon - Rocket: CR+ - Interchip: RTD Additional skills (optional) - Knowledge of zSeries Systems Programming concepts and technologies - Awareness of Network technologies and Dark Fibre concepts - Awareness of newer or emerging technologies - Awareness of IBM Virtual tape solutions (TS7700's) - Experience of data centre migrations - Knowledge of: GKLM, Spectrum Control and Storage insights and API exploitation - Knowledge of Ansible Automation Platform (AAP), GitHub, Jenkins - Programing/Scripting languages: Rexx, Python, YAML The zSeries Storage Engineer is responsible for leading, building and supporting the zSeries Storage hardware and software infrastructure. This role will carry out some or all of the following activities Perform a Technical Project Management role for large zSeries infrastructure deployment and evergreening projects Setup automation to reduce manaual interventions in the Storage infrastructure Test new software and exploit functionality Consolidate and reduce infrastructure complexity Risk and Cost Management Ensure Service Quality Targets are met for offered platform services Business stakeholder management Vendor liaison and management zSeries Storage hardware/software design, configuration, testing, implementation and support Location: Sheffield Client: HSBC Day Rate: negotiable (Inside IR35) Hybrid/Remote: Hybrid (2-3 days in office)

Senior Network Engineer. Location: West London with 4/5 days onsite Full Time Permanent: Salary 70k - 85k pending on experience We are looking for a Technical Hand on Senior Network Engineer with strong Palo Alto Firewall experience to join the Networking team to drive their Security projects alongside the day to day Network duties playing a key role in maintaining and enhancing the global network infrastructure. Ensuring the network stability, security, and efficiency across the operations while driving improvements and innovation. Act as the technical lead in the Network Team for the Firewalls Responsibilities: Contribute to the design and implementation of the global networking roadmap. Maintain, monitor and troubleshoot the global network. Be the focal point for all issues relating to the global network and networking security events. Be the SME on the Firewall related matters, maintain and stabilise the network estate. Create and modify configurations on Cisco/Arista Analyse and resolve alerts from Security Events, Information Management tools, Network Behaviour Analytics, and network monitoring incidents. Create/modify configurations on Switches, Routers and Firewalls. Ensure quality assurance for Incident and Change requests, oversee the implementation of changes, and guarantee that information is accurately captured and maintained. Use packet-capture tools, analyse packet flows and utilise network-based User Behaviour Analytics to understand breaches and track the propagation of malware. Use Threat Intelligence Services to identify potential new threats and develop new mitigations. Actively engage with our colleagues overseas to enhance our shared understanding of security threats and discover innovative ways to elevate the IT function. Essential: 5+ years' strong general Networking experience and implementation experience (Data Centre, Campus, Wi-Fi, Security). Solid hands on experience with Palo Alto, OSPF, Vlans, VPN,BGP. Expertise in routing, switching, and network architecture.(Palo Alto and Firepower) Industry certifications - Any of the following - (Arista ACE 3-7, CCNA, CCNP, CCIE, PCNSA, PCNSE). Experience with network security architecture (Zones and Policy) Strong communication and problem-solving skills. Enjoys research into emerging threats in the security landscape and identifying and analysing real-world threats Familiarity with Panorama. Desirable: Experience in Azure networking and security A strong desire to utilise your skills in ways that contribute to the improvement of the global IT function.

Our technology teams in the UK work closely with HSBC's global businesses to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply and securely. We also run and manage our IT infrastructure, data centres and core banking systems that power the world's leading international bank. Our multi-disciplined teams include: DevOps engineers, IT architects, front and Back End developers, infrastructure specialists, cyber experts, as well as project and programme managers. The role of the CICS Technical Specialist is to work with the Customer Information Control System (CICS) software product on IBM Mainframe having strong technical expertise and eagerness to work with new technology and infrastructure. You must have worked on several large complex projects in a CICS Technical role designing and implementing technical solutions to commercial problems. What you will bring to the role; Good working knowledge of the SMP/E utility to install software on the Mainframe and provide evidence of your problem analysis and determination skills CICS Systems software installation, administration, maintenance, resource definitions and support CICS Production Support including out of hours troubleshooting support Providing technical assistance to Developers and Application Support Teams Project manage the delivery of services by other internal/external teams Design and develop new hardware and software technology solutions Lead and direct problem investigation and recovery in complex situations To be successful in this role you should have proven experience within the Technology sector with knowledge of the following skills: Relevant product knowledge including knowledge of CICS/TS 5.5, SMP/E, Omegamon, ACF2 or RACF, CICSPlex/SM Past working experience on relevant systems, ie CICS and third party product installation and support Availability to work the shift pattern required for this role, ie This team provides 24/7 support therefore you will be required to provide cover when fully competent in the Banks processes Experience working in relevant environment/s, ie Mainframe Sysplex experience is desirable but not essential Both spoken and written communication skills with experience of adapting your style and approach to the audience and message to be delivered Planned projects and activities systematically in line with business priorities, using a variety of analysis and problem solving techniques Proven experience of successful project management, utilising relevant tools and techniques to ensure consistent delivery Location: Sheffield Client : HSBC Day Rate : negotiable (Inside IR35) Hybrid/Remote : Hybrid (2-3 days in office)

Senior Enterprise Security Architect Our client, a leading global supplier for IT services, requires Cyber Security - Senior Enterprise Security Architect to be based at their client's office in London, UK This is a hybrid role - you can work remotely in the UK and attend the London office 4 days per week . This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate Our client is seeking a seasoned, strategic, and hands-on Senior Enterprise Security Architect to lead the foundational implementation of the Centre for Internet Security (CIS) Critical Security Controls (CSC) across our entire enterprise. You will be the primary architect responsible for transitioning our security posture from current state to a robust, CIS-aligned framework, ensuring that security is deeply integrated into our infrastructure, cloud environments, and business operations. Key Responsibilities Strategic Framework Alignment: Lead the end-to-end design and roadmap for implementing CIS Controls (v8 or latest) from the ground up, mapping current technical controls to the CIS framework. Infrastructure & Cloud Security Architecture: Define and enforce secure architecture patterns for on-premises, hybrid, and multi-cloud (AWS/Azure/GCP) environments, ensuring compliance with CIS Benchmarks. Policy & Governance: Develop and document enterprise-wide security policies, standards, and procedures derived from CIS implementation groups (IG1, IG2, IG3) to ensure scalable security. Technical Implementation Oversight: Collaborate closely with DevOps, Network Engineering, and IT Operations teams to automate security configurations (eg, automated patching, hardening, configuration management). Asset Management & Visibility: Design robust solutions for automated hardware and software asset inventory-a critical prerequisite for effective CIS implementation. Vulnerability & Risk Management: Establish and mature enterprise vulnerability management processes to ensure continuous identification and remediation of risks as prioritized by the CIS framework. Stakeholder Engagement: Act as the primary subject matter expert, effectively communicating security requirements, project milestones, and risk posture to executive leadership and technical staff alike. Key Requirements Experience: 10+ years in Cybersecurity, with at least 5 years in a senior architecture or lead security role. Framework Expertise: Deep, hands-on experience implementing CIS Critical Security Controls in large-scale enterprise environments. Cloud Fluency: Demonstrated architectural design experience in secure cloud migrations and cloud-native security practices. Automation: Strong belief in and experience with "Security as Code" principles; proficiency in Scripting (Python, PowerShell) or Infrastructure as Code (Terraform, Ansible) to automate hardening. Hardening Standards: Expert-level knowledge of CIS Benchmarks for operating systems (Linux/Windows), cloud platforms, and network devices. Communication: Proven ability to bridge the gap between technical teams and business stakeholders, articulating security risks in plain language. Senior Stakeholder Management - Proficient and experience in communication at executive levels within the organisation, reports, PowerPoint and presentation Preferred Technical Proficiency Requirements Cloud & Infrastructure: Cloud Security: Expert knowledge of AWS (Control Tower, SCPs), Azure (Blueprints, Policy), and GCP (Organization Policy Service). Infrastructure as Code (IaC): Advanced proficiency in Terraform, Ansible, or Bicep to enforce security configurations at scale (GitOps approach). Identity & Access Management (IAM): Deep understanding of Zero Trust Architecture (ZTA), RBAC/ABAC models, and integration with Enterprise IAM (Okta, Entra ID, Ping). Operating System Hardening: Hands-on experience applying CIS Benchmarks to Linux (RHEL, Ubuntu, Alpine) and Windows Server environments using automated configuration management. Security Operations & Tooling: Vulnerability Management: Experience with enterprise tools like Tenable.io, Qualys, or Rapid7 to map findings directly to CIS Control 7. EDR/XDR Integration: Expert-level deployment of tools (eg, CrowdStrike, SentinelOne) to achieve full visibility across endpoints (CIS Control 6). SIEM/SOAR: Experience designing log aggregation and automated response playbooks in platforms like Splunk, Microsoft Sentinel, or Google Chronicle to satisfy monitoring requirements (CIS Control 8). Asset Management: Implementation of automated discovery tools (eg, CMDB Lansweeper) to maintain a dynamic inventory of hardware and software (CIS Controls 1 & 2). Network & Endpoint Security: Micro-segmentation: Expertise in network design (NSX, Illumio, or Cloud-native security groups) to enforce granular traffic control (CIS Control 12). Encryption: Implementation of Data-at-Rest and Data-in-Transit standards (TLS 1.3, AES-256, HSMs, and Key Management Systems). Professional Certifications CISSP-ISSAP (Information Systems Security Architecture Professional) TOGAF (The Open Group Architecture Framework) AWS Certified Security - Specialty Microsoft Certified: Cybersecurity Architect Expert Google Professional Cloud Security Engineer CISSP (Certified Information Systems Security Professional) CISM (Certified Information Security Manager) Familiarity with CIS controls alongside NIST CSF, ISO 27001, SOC2, or HIPAA frameworks Strategic Impact: The Implementation Mindset They must understand how to: Prioritize via CIS Implementation Groups (IGs): Pragmatically apply IG1 (Essential Cyber Hygiene), IG2 (Advanced), and IG3 (Expert) based on the organization's specific risk profile. Measure Efficacy: Define KPIs for each control (eg, "Percentage of endpoints with auto-patching enabled") to report progress to the Board. Automation First: Ensure that every security control, where possible, is deployed via automated pipelines rather than manual "click-ops," ensuring consistency across thousands of assets. Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.

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!

z/OS Systems Programmer Role Job Description The z/OS Systems Programmer should have technical, domain level and specialist skills to ensure that all the engineering services are operated, maintained and constantly upgraded as technology advances. There can be multiple functions within the job involving multiple products and technologies. Including but not limited to programming, support to maintain essential environmental conditions & analysis - creating functional/technical design solutions. The job holder may specialise in a single or combination of those functions/technologies. They will be involved in overseeing the deployment, planning, configuration & testing. Key Skills Upgrading, maintaining and supporting the z/OS operating system Upgrading, maintaining and supporting ISV products particularly from the vendors; IBM and Computer Associates (CA) Production support Must have extensive experience of Mainframe systems programming. Must have knowledge of a combination z/OS, SMP/E, TSO/ISPF, USS, SDSF, JCL. Must have knowledge of IBM and CA Products and be able to work independently. Must have excellent problem determination skills and be a true team player. Required to provide off hours support for the implementation of software changes and support for other projects requiring software expertise as well as be part of an on-call rota Set and achieved challenging short, medium and long term goals which exceeded the standards in their field Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences Built effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same Have some experience of creating and deploying comprehensive business/operating plans which consistently deliver desired results A comprehensive understanding of risk management and proven experience of ensuring own and others' compliance with relevant regulatory processes In addition to the details listed above, the following complimentary skills (although these are not essential): Assembler, Automation, GDPS, Rexx and CLIST skills Proficient in Top Secret skills Performance monitoring using Omegamon, RMF, SMF and SAS Location : Sheffield Client : HSBC Day Rate : negotiable (Inside IR35) Hybrid/Remote : Hybrid (2-3 days in office)

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 Description: When you get the opportunity to work in a growing and exciting company, grab it with both hands This is an opportunity to be the lead developer, working with a small team of like minded people. The roadmap is already set but there is plenty of opportunity to put forward your input into the development. An ability to develop web applications in c# and manage a small team of developers. So much cutting edge technology to get involved with Key Benefits: Full time - Permanent 1-2 days a week in the office in Central Newcastle Salary from £70k Good pension and holidays Responsibilities/Requirements: Strong c# backend and web development and skills Team Management of a small team, 1-1s, interviews etc. An interest in AI and looking to utilise AI in development Unit testing and integration testing If you would like to work for a company who strive to offer the best service to clients and their own employees email me or apply online today!

Network IT is currently recruiting for a skilled VMware Infrastructure Engineer to support a team delivering critical services across government platforms, with our client in Milton Keynes. This role involves working within a infrastructure team environment, providing both BAU and project based support for VMware technologies and services. You will be working on designs, deployments and system improvements as our client rolls out new services, and enhances existing services. Please note due to the nature of the client, we can only consider British Nationals for this role. This is an SC Cleared position, so eligibility for SC Clearance is essential. It would be beneficial if you are already, or have previously been SC Cleared. Role: VMware Infrastructure Engineer Duration: 6 months Rate: £590 per day Status: Inside IR35 Location: Milton Keynes Working Pattern: 3 days per week onsite (average) Key Skills: Strong experience with VMware technologies, including: ESXi High Availability (HA) configuration vCenter vSAN VMware Cloud Foundation (VCF) NSX VMware Aria Experience supporting complex, enterprise level environments Understanding of public cloud migration concepts or hands on experience in this area Desirable certifications: VCP-DCV/NSX/VCAP Must be a sole British National, with eligibility for SC Clearance

About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure technology solutions for public and private sector clients. This is a fully remote role based in India, supporting our UK operations and client base. You will work closely with our UK leadership team and must be comfortable operating within UK regulatory and legal frameworks. About the Role As a Data Architect, you will define and maintain data architecture to support modern digital services. You will work closely with Technical Architects, Developers, and Analysts to ensure data is designed, stored, and consumed consistently across systems. This is a strategic yet hands-on role where you will support teams in building scalable, secure, and maintainable data solutions while ensuring alignment with organisational standards and data strategy. Hybrid Working Based in Newcastle upon Tyne with three days per week on-site. Remaining days may be worked remotely. Key ResponsibilitiesData Architecture Design Design and maintain enterprise and solution-level data architectures. Define and support governance of data models, schemas, and metadata structures across the organisation. Data Standards & Governance Support the creation and maintenance of data standards, data dictionaries, and governance practices to ensure consistency and compliance. Architectural Guidance Provide technical guidance to delivery teams on data design, storage, and integration patterns. Cross-team Collaboration Work closely with Technical Architects and engineering teams to ensure alignment between system design and data architecture principles. Communication & Documentation Produce clear, structured documentation and communicate data architecture decisions effectively to both technical and non-technical stakeholders. Continuous Improvement Contribute to improvements in data architecture practices, standards, and ways of working across the programme. Skills and Experience Required Experience in data architecture and data modelling Ability to design and maintain data models and metadata systems Experience working with data standards and data governance practices Strong knowledge of relational and NoSQL databases (Postgres, MySQL, MongoDB, Oracle) Experience with cloud-based data platforms (AWS and/or Azure) Understanding of data integration and data life cycle management Strong analytical, problem-solving, and communication skills Experience working in Agile delivery environments Desirable Experience with reporting/analytics tools such as Power BI or Tableau Exposure to data governance or data quality frameworks Familiarity with event-driven or integration-led architectures Ability to work effectively in a hybrid working environment Diversity and Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.

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.

Customer Operations Specialist 12-month temporary contract £14.77 per hour Hours of work: Monday - Friday minute lunch break) Fully office based About the Role: Customer Operations Specialist We are recruiting on behalf of a well established organisation that places customers at the heart of everything it does. As a Customer Operations Specialist, you will play an important role in delivering excellent customer service while supporting the smooth day to day running of contact centre operations. This is a fast moving and varied position where every day brings new challenges and opportunities. It offers a great chance to build valuable skills, gain industry experience, and make a meaningful contribution within a customer focused environment. Although the role is initially temporary, it can provide a strong pathway into longer term career opportunities within the wider business. Key Responsibilities: Customer Operations Specialist Responding to customer enquiries via telephone and email Managing escalated queries with professionalism, empathy, and good judgement Supporting vulnerable customers with patience and care Working closely with colleagues to achieve first contact resolution whenever possible Maintaining a customer focused approach while meeting operational objectives Ensuring all customer interactions remain compliant with regulatory and internal standards About You: Customer Operations Specialist You will be well suited to this role if you: Have experience within a fast paced, customer service environment (financial services experience is beneficial but not essential) Remain calm and resilient in challenging situations Are adaptable and willing to support different areas when required Communicate confidently and effectively with both customers and colleagues Enjoy working within a collaborative team environment Are passionate about delivering positive customer outcomes and high quality service Compliance & Professional Standards: Customer Operations Specialist The role requires adherence to all relevant regulatory and compliance requirements, including: FCA regulations Data Protection requirements Anti Money Laundering policies Internal codes of conduct and operational procedures Anti Bribery and Corruption policies Full training and ongoing support will be provided. Join the Team: Customer Operations Specialist If you are looking for an opportunity to develop your skills, grow your career, and make a real difference to customers, this could be the ideal next step for you. Apply now to join a respected organisation with a strong customer focused culture. Response Personnel, an independently owned company and experts in recruitment since 1997. Specialists in Permanent, Temporary and Contract recruitment within a number of niche divisions and industries, including: Commercial, Industrial and Engineering sectors. For information on other roles, we have available please call for further details.

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.

Team Leader - Electrical Purpose of the Role: Lead a team of operatives to assemble quality Offsite solutions at the optimum efficiency levels whilst working in a safe working environment and adhering to safe working practices. Ensure projects are fully complete within programme and budget deliverables and to the correct technical standards required. Key Deliverables: Provide health and safety leadership to ensure that the "safety first and foremost" message is visible and alive throughout all activities relating to operations under your leadership Lead a team of production operatives, ensuring the required level of performance is achieved. Address any attendance, timekeeping, conduct and capability concerns quickly and effectively. Train and develop team members. Be the manufacturing specialist in the installation of Electrical services, overseeing the quality & the technical acceptance of the manufactured products. Own the project from 30% kick off, through daily progress meetings, final quality check off, despatch and project close off. Maintain Project KPI's to track project progress, addressing any H&S, efficiency, quality or material shortage issues on a timely basis. Maintain excellent standards of housekeeping and workplace organisation within build cells at all times. Allocate the team to activities within each project, taking into account each operative's skills and safety certificates. Manage productivity within each project, re-allocating operatives wherever necessary. Minimising non productive time. Champion and drive improvements through the application of continuous improvement techniques and Lean. Take ownership for the quality of the team's output, completing all necessary QC documentation whilst identifying and addressing the root cause of any failures. Identify & record any problems that arise during manufacture and pursue a solution wherever possible. Monitor budget via business IFS system ensuring hours and costs remain within target. Highlight any forecasted overspends or potential failures to the Manufacturing Coordinator. Requirements: Apprentice trained electrician level 3 235/236 Trained to 18th edition electrical regulations Qualified to BS2391 electrical inspection & test Electrical containment install Distribution board wiring Electrical install information and technical drawings Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.

A thriving company has a new opening for a Customer Service Administrator to join their thriving team. The Customer Service Administrator role involves providing support to the wider team through scheduling works, managing invoices, and handling incoming calls in a timely and efficient manner. Salary £26,500 plus OTE £2k Monday to Friday on rota: 7.30am - 4.30pm 9am - 6pm every 4 weeks approximately Saturday 8pm - 4pm on rota basis 1 in 7 approximately. Time and half paid Sunday 8am - 12pm - optional, and double pay Customer Service Administrator responsibilities: Handling incoming call queries and achieving daily targets Liaising with customers regarding ETA updates, job updates and re-scheduling of appointments Distributing daily work schedules via CRM to Engineers Updating job notes, customer, and engineer comments Establishing excellent working relationships with engineer staff and assisting with their queries Providing a high level of customer service and communication, ensuring all information requests are dealt with in a timely manner Handling the in-house email inbox, responding to queries from customers and head office Creating and sending quotations Creating invoices and ensuring payment is processed Following up with customers to ascertain if further work is required Sending out correspondence to customers with work completed to increase positive reviews Customer Service Administrator required skills/competencies: Strong organisational and communication abilities IT proficient in Word, Outlook, and Excel Excellent organisational skills 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.

DV Cleared Cloud Engineer | Outside IR Month Contract | South West | Hybrid | £550 Per Day We are seeking an experienced DV Cleared Cloud Engineer to support critical, high-availability systems within secure government environments. This is an exciting opportunity to work across cloud and on-prem infrastructure, improving reliability, observability, automation, and delivery pipelines. Key Responsibilities Improve system reliability, performance, and scalability Collaborate with development and support teams Enhance monitoring, observability, and alerting capabilities Automate operational processes and reduce manual toil Support CI/CD pipelines and development environments Identify and mitigate reliability and availability risks Essential Skills & Experience Terraform and configuration management tools (Ansible, Chef, etc.) Docker and container orchestration (Kubernetes, OpenShift, Docker Swarm) CI/CD tooling such as Jenkins Monitoring tools including Prometheus, Grafana, or InfluxDB Linux administration and Shell Scripting AWS services (EC2, RDS, S3, Lambda) SQL and relational databases Messaging technologies such as RabbitMQ Desirable Skills Java, Go, or Python development experience Azure experience Service management environment experience Knowledge of observability best practices and availability metrics Experience with secure or cross-domain environments If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

The Company Sandhata is a global consultancy providing Next Gen Engineering Services dedicated to transforming businesses. Our services span all facets of Digital Transformation, DevOps & Cloud, Integration, Automation, Low Code Application Development and AI-enabled services. Sandhata is a privately held IT services company with bases in the UK and India operating worldwide to help clients deliver a 'digital first' strategy. Sandhata is currently working with clients across various industry sectors, helping them to deliver cutting-edge technology solutions that streamline business processes and drive IT efficiency. The Role We are seeking a hands-on Head of AI Engineering & Innovation to lead Sandhata's AI practice, shape our AI strategy, drive innovation initiatives and support the delivery of AI-enabled services, products and tools for both Sandhata and our clients.This role combines technical leadership, coding, solution design, pre-sales support and thought leadership, requiring someone who is equally comfortable building AI solutions as they are presenting them to clients and internal stakeholders. Key Responsibilities Define and lead Sandhata's AI Engineering and Innovation strategy. Lead the AI & Innovation Engineering practice. Deliver Sandhata's AI-enabled client solutions, internal tools, platforms, products and innovation projects. Innovate and remain hands-on with coding, architecture, engineering and technical problem solving. Enable business development through proposals, pitches, workshops and client engagement. Role model as a thought leader on AI, innovation and emerging technologies. Mandatory Skills & Experience Proven experience leading AI engineering, innovation or AI product teams. Strong hands-on software engineering background with production-grade development experience. Strong Python skills, ideally including FastAPI. Strong AWS experience, including services such as Bedrock, Lambda, ECS/EKS, API Gateway and S3. Experience with LangChain, LangGraph, RAG, vector databases and multi-agent systems. Experience building APIs, platforms, tools and AI-enabled products. Familiarity with evaluation and observability tools such as Arize, Promptfoo, LangSmith or MLflow. Experience with red teaming, AI safety, testing and governance. Strong knowledge of CI/CD, DevOps, Docker and Kubernetes. Strong communication skills and experience supporting pre-sales and client engagements. Experience working in regulated sectors such as banking, telecoms or insurance. Preferred Skills Experience with Azure cloud and Azure AI services. Familiarity with AWS AgentCore. Experience with MLOps, monitoring and deployment tooling. Knowledge of knowledge graphs and graph databases. Experience with low code, automation and integration platforms. Familiarity with Front End technologies and product development practices. Experience building reusable accelerators and internal developer platforms. Exposure to enterprise architecture and solution design. Experience delivering innovation programmes or internal transformation initiatives. Behavioural Competencies Strong communicator who can simplify complex technical concepts. Commercially aware with a strong business mindset. Comfortable balancing strategic leadership with hands-on coding and technical delivery. Pragmatic, delivery-focused and able to work through ambiguity. Strong stakeholder management and influencing skills. What Success Looks like Sandhata has a credible and growing AI Engineering and Innovation Practice. AI services are recognised and commercially successful part of Sandhata's offering. Sandhata develops reusable AI tools, accelerators and internal capabilities. Clients see Sandhata as a trusted advisor for AI and innovation. Innovation initiatives deliver measurable value internally and for clients. Sandhata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.