Junior cloud engineer jobs in United Kingdom

Join us as a Principal Engineer for CIAM at Barclays, where you will support the acceleration of a new digital platform capability, transforming and modernising our digital estate to build a market-leading digital offering with customer experience at its heart. This is an exciting and key role, partnering with business aligned engineering and product teams, to ensure a collaborative team culture is at the heart of what we do. To be successful in this role you should have: • Strong hands-on experience in the configuration, deployment and running of ForgeRock COTS based IAM solutions (PingGateway, PingAM, PingIDM, PingDS), including designing and implementing cloud-based, scalable and resilient IAM solutions for large corporate organisations., • Experience with IAM engineering experience across authentication, authorisation, single sign-on, multi-factor authentication, identity lifecycle management, OAuth2.0, OpenID Connect, SAML and policy management, • Expertise with JavaScript, Java, Python, and must be comfortable with API and microservices development., • Strong working knowledge of Site Reliability Engineering principles, • Experience with Cloud computing (AWS is essential, Azure is a plus) Some other highly desirable skills include: • Experience in DevSecOps - knowledge of Product Operating Model, • Knowledge of Infrastructure as a Code tooling (Chef is essential, Ansible is a plus), containerization, • knowledge of authentication and biometric system design is highly desired., • Open-source experience You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of our London office. Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. Accountabilities • Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence., • Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps., • Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives., • Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization., • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development., • Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process. Vice President Expectations • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.., • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes., • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Overview GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Project Details At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: • Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”., • Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent., • Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time., • Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in ?12h) .Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring., • Innovative disease-specific and domain-expert specific data products: to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles.Improving engineering efficiency: Extensible, reusable, scalable, updateable. Position Summary GSK are looking for an experienced DataOps Engineer to join the growing DataOps team. DataOps Engineers take ownership of delivering high-performing, high-impact biomedical and scientific data ops products and services, from a description of a pattern that customer Data Engineers are trying to use all the way through to final delivery (and ongoing monitoring and operations) of a templated project and all associated automation. They are standard-bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project. They devise useful metrics for ensuring their services are meeting customer demand and having an impact and iterate to deliver and improve on those metrics in an agile fashion. Responsibilities and Experience As a DataOps Engineer, this person will be a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardising and templatising biomedical and scientific data engineering, with demonstrable experience across the following areas: • Deliver declarative components for common data ingestion, transformation and publishing techniques, • Define and implement data governance aligned to modern standards, • Establish scalable, automated processes for data engineering teams across GSK, • Thought leader and partner with wider Onyx data engineering teams to advise on implementation and best practices, • Cloud Infrastructure-as-Code, • Define Service and Flow orchestration, • Data as a configurable resource (including configuration-driven access to scientific data modelling tools), • Observabilty (monitoring, alerting, logging, tracing, ...), • Enable quality engineering through KPIs and code coverage and quality checks, • Standardise GitOps/declarative software development lifecycle, • Audit as a service Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Join us as a Principal Engineer for CIAM at Barclays, where you will support the acceleration of a new digital platform capability, transforming and modernising our digital estate to build a market-leading digital offering with customer experience at its heart. This is an exciting and key role, partnering with business aligned engineering and product teams, to ensure a collaborative team culture is at the heart of what we do. To be successful in this role you should have: • Strong hands-on experience in the configuration, deployment and running of ForgeRock COTS based IAM solutions (PingGateway, PingAM, PingIDM, PingDS), including designing and implementing cloud-based, scalable and resilient IAM solutions for large corporate organisations., • Experience with IAM engineering experience across authentication, authorisation, single sign-on, multi-factor authentication, identity lifecycle management, OAuth2.0, OpenID Connect, SAML and policy management, • Expertise with JavaScript, Java, Python, and must be comfortable with API and microservices development., • Strong working knowledge of Site Reliability Engineering principles, • Experience in DevSecOps - knowledge of Product Operating Model, • Knowledge of Infrastructure as a Code tooling (Chef is essential, Ansible is a plus), containerization, • knowledge of authentication and biometric system design is highly desired. This role will be based out of our London office. Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. Accountabilities • Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence., • Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps., • Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives., • Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization., • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development., • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.., • If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes.

Join us as a Principal Engineer for CIAM at Barclays, where you will support the acceleration of a new digital platform capability, transforming and modernising our digital estate to build a market-leading digital offering with customer experience at its heart. The information below covers the role requirements, expected candidate experience, and accompanying qualifications. This is an exciting and key role, partnering with business aligned engineering and product teams, to ensure a collaborative team culture is at the heart of what we do. To be successful in this role you should have: • Strong hands-on experience in the configuration, deployment and running of ForgeRock COTS based IAM solutions (PingGateway, PingAM, PingIDM, PingDS), including designing and implementing cloud-based, scalable and resilient IAM solutions for large corporate organisations., • Experience with IAM engineering experience across authentication, authorisation, single sign-on, multi-factor authentication, identity lifecycle management, OAuth2.0, OpenID Connect, SAML and policy management, • Expertise with JavaScript, Java, Python, and must be comfortable with API and microservices development., • Strong working knowledge of Site Reliability Engineering principles, • Experience in DevSecOps - knowledge of Product Operating Model, • Knowledge of Infrastructure as a Code tooling (Chef is essential, Ansible is a plus), containerization, • knowledge of authentication and biometric system design is highly desired. This role will be based out of our London office. Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. Accountabilities • Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence., • Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps., • Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives., • Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization., • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development., • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.., • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes.

Senior Contact Centre Engineer (UC/Telephony) Full Time Permanent Hybrid - London SE1 (1 day per week onsite) £70-80K basic + benefits (5% pension, 25 days hols, life insurance, medical cover) Are you an experienced Senior Contact Centre Engineer looking for a new challenge? Do you have a background in Telephony + UC with a strong understanding of design, deployment, and integration of customer engagement solutions built on platforms such as NICE CXone, Genesys, Avaya, or Cisco along with hands-on telecoms or VoIP engineering experience and deep understanding of SIP, PSTN, SBCs and IP telephony? Here at ARM we are recruiting for a full time permanent Senior Contact Centre Engineer for a global IT services and consultancy client of ours. Our client: They're a leading business with a global reach that empowers local teams, and they undertake hugely exciting work that is genuinely changing the world. Their advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Overview: We are seeking a seasoned professional with a strong telecom and contact centre background to lead the design, deployment, and integration of customer engagement solutions built on platforms such as NICE CXone, Genesys, Avaya, or Cisco. This hands-on role combines deep telephony expertise with practical experience in IVR design, queue management, and CRM integration. The successful candidate will act as a technical authority, mentoring junior engineers while delivering high-impact contact centre solutions for enterprise clients. Responsibilities: Solution Delivery and Integration: . Lead technical delivery of contact centre implementations across voice and digital channels. . Design and deploy IVR and queuing strategies aligned with customer experience objectives. . Ensure solution configurations are resilient, scalable, and meet compliance and security standards. Telephony and Infrastructure: . Manage configurations and troubleshooting for SIP trunks, PSTN access, SBCs, and PBX systems. . Implement contact centre components within NICE CXone, Genesys Cloud, Avaya, or Cisco platforms. . Design and support emergency routing and system failover scenarios. Application Integration: . Deliver CRM and third-party app integrations using REST or SOAP APIs. . Coordinate data flows between telephony platforms and business systems (Salesforce, Dynamics, etc.). . Conduct testing and validation of integration use cases. Technical Leadership: . Serve as an escalation point for complex contact centre infrastructure issues. . Mentor and support junior engineers and technical consultants. . Contribute to solution design documentation, handovers, and client technical briefings. Client Collaboration: . Participate in technical discovery workshops and requirement-gathering sessions. . Align solution architecture to client business goals. . Communicate clearly with technical and non-technical stakeholders. Qualifications: Required Skills & Experience: . 5yrs+ hands-on in telecoms or VoIP engineering roles, with at least 2 years in contact centre environments. . Strong experience with NICE CXone, Genesys, Avaya, or Cisco contact centre platforms. . Deep understanding of SIP, PSTN, SBCs, and IP telephony fundamentals. . Integration experience with CRMs and enterprise systems using web services/APIs. . Strong communication and stakeholder management skills. Preferred Skills: . Certifications in NICE CXone, Genesys Cloud, Cisco Collaboration, or Avaya. . Exposure to ITIL, TOGAF, or Agile project environments. . Experience in industries with regulatory requirements (eg, finance, healthcare). Working Conditions: Some of the benefits include: • Healthcare and dental insurance, • Company pension is matched up to 5%, • 25 days annual leave entitlement plus bank holidays and the option to purchase 5 extra days, • Life assurance - 4 x annual salary, • Cycle to work scheme This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.

We are hiring a Lead Data Engineer: Exciting role in the Financial Services Space Location: UK-based | Flexible/Hybrid Working Options Contract Type: Permanent / Full-Time Overview I'm currently recruiting on behalf of a prestigious UK financial services organisation that is expanding its Retail Data Operations team. Following a strategic internal merger, they are hiring three Lead Data Engineers to support the build-out of new data capabilities focused on retirement solutions. This is a fantastic opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT, and Azure DevOps, • Ensure solutions are GDPR-compliant and aligned with business and technical requirements, • Lead Agile delivery within Scrum teams, translating user stories into actionable engineering tasks, • Collaborate with architects, product owners, and stakeholders to deliver high-impact data solutions, • Drive continuous improvement in engineering standards and release management processes, • Mentor and support junior and mid-level engineers, fostering a culture of learning and excellence Ideal Candidate Profile • Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing, • Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps, • Familiarity with cloud platforms, streaming technologies, and dimensional data modelling (Kimball), • Strong understanding of Agile methodologies (Scrum/Kanban) and DevOps/DataOps principles, • Excellent communication and stakeholder engagement skills, • A proactive mindset with a focus on quality, compliance, and innovation Interested? If you're a seasoned data engineer looking to take the next step in your career, I'd love to hear from you. Apply now or reach out directly to discuss the opportunity in more detail.

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: ___ Base Location: London plus network of 20 offices nationally: The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable products that simplify their lives while promoting Audit Quality. As a crucial member of the team, you will collaborate with a talented mix of Cloud & DevOps Engineers, Product Owners/Managers, Solution Architects, Data Engineers, Business Analysts, and Testing Specialists. Together, we build, deliver, and manage a portfolio of truly exciting products. In recent years, our products' size and scale have rapidly expanded, leading to significant growth in our technology capability. There's never been a better time to join us. With our ambitious growth plans, your future here is something to get excited about. As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies that not only streamline workflows but also enhance audit quality and generate actionable insights for auditors and clients. Through harnessing the power of cutting-edge tools, we aim to transform traditional audit practices into dynamic, forward-thinking processes that are built for the complexities of the modern business environment. Our team, supported by KPMG’s global network, serves as the driving force behind this transformative journey. Focused on innovation, this team is dedicated to engineering solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example in a hands-on capacity, actively contributing to codebases and technical decisions while mentoring junior engineers. Scalable AI Engineering: Develop and deploy production-grade AI systems tailored to audit applications. Contribute to architectural decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. Cross-Disciplinary Collaboration: Work side-by-side with data scientists, product managers, platform engineers, and QA teams to align on technical requirements, delivery timelines, and integration plans. Provide hands-on contributions to ensure AI capabilities are smoothly embedded within core audit platforms and services. Capability Building & Knowledge Sharing: Contribute to internal capability-building initiatives and empower team members and the broader Audit Technology function by sharing practical skills and innovative techniques for adopting and adapting AI effectively. What will you need to do it? Minimum Requirements • Experience: Significant professional experience in backend development as a Senior role., • Languages/Frameworks: Strong proficiency in Python with hands-on experience in asynchronous programming, concurrency and multithreading., • API Expertise: Proven experience in building and integrating APIs, with expertise in API documentation and schema definition using OpenAPI/Swagger. Strong understanding of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements • Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields., • Proven track record of designing, developing, and deploying AI systems in production environments., • Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers)., • Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph., • Proven experience with modern engineering practices Git, version control, unit testing and containerisation., • Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: • Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: • Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field., • Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable, • Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to talent across the country but our core Tech hubs for this role are: • Glasgow, • Leeds, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below: • Technology and Engineering at KPMG: ___, • ITs Her Future Women in Tech programme: ___, • ITs Her Future Women in Tech programme:, • Applying to KPMG: ___, • Tips for interview: ___, • KPMG values: ___, • KPMG Competencies: ___, • KPMG Locations and FAQ: ___, • KPMG Locations and FAQ:

Job Title: Senior AI Solutions Engineer Location: UK – Hybrid with on-site responsibilities Department: Product & Strategy Reports To: VP, Product & Strategy Employment Type: Full-time About the Company A fast-growing UK-based AI infrastructure and solutions provider is delivering next-generation enterprise AI capabilities with a strong emphasis on sustainability, data sovereignty, and real-world outcomes. Backed by significant investment and strategic partnerships, the company operates a national AI infrastructure platform that spans 50+ datacenter locations and is powered entirely by renewable energy. The mission is to help enterprises operationalise AI faster, more efficiently, and with full control over their data — offering a complete platform that combines infrastructure, software, and services. About the Role This is a strategic, customer-facing engineering role where you’ll design and deliver complex AI solutions using retrieval-augmented generation (RAG), LLM fine-tuning, and enterprise-grade inference deployment. You’ll work closely with commercial teams, product, and platform engineering to bring cutting-edge AI solutions to life for enterprise clients — all while working within a sovereign, sustainable AI mesh. Key Responsibilities Customer Solution Design • Collaborate with enterprise customers to map business problems to AI-powered workflows., • Architect full-stack solutions using RAG, fine-tuning, and scalable inference endpoints., • Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering • Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton., • Fine-tune foundation models for domain-specific use cases., • Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration • Build secure, scalable data pipelines that integrate enterprise data into vector stores and embedding models., • Optimise semantic retrieval for performance and relevance in generative AI applications. Cross-Team Collaboration • Work with infrastructure and platform engineering teams to ensure smooth deployments., • Feed insights back into the product team to shape platform features., • Mentor junior engineers and contribute to customer enablement content. Sample Success Metrics • Deliver 5+ enterprise AI deployments (RAG, fine-tuned models, inference endpoints)., • Contribute to solution accelerators (code repos, templates, tools) used across projects., • Help drive measurable revenue through technical pre-sales and solution support., • Maintain high client satisfaction scores post-deployment., • Produce thought leadership (blogs, talks, case studies) on real-world AI implementation. Required Qualifications • Background in AI/ML engineering, applied AI, or technical solutions delivery., • Strong experience with:, • Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases)., • LLM fine-tuning techniques (LoRA, PEFT, instruction tuning)., • Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes)., • Advanced Python skills; bonus for experience in Go, Java, or C++., • Direct experience working with enterprise clients., • Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications • Familiarity with enterprise AI stacks (e.g., NVIDIA AI Enterprise, private cloud AI platforms)., • Awareness of UK AI compliance and data sovereignty regulations (e.g., ISO 27001, SOC 2)., • Experience optimising GPU workloads., • Contributions to open-source AI/ML projects or toolkits. Compensation & Benefits • Competitive salary, • Potential equity or performance-based incentives, • Learning and development budget, • Hybrid work flexibility with occasional client or team site visits If you're passionate about building impactful AI systems that solve real problems — and want to work at the intersection of innovation, sustainability, and sovereignty — this is your opportunity.

Cybersecurity Consultant – Manager Location – Hybrid – London 1 day / wk (ish) Salary £65 – £80k + all the usual benefit’s Looking for more than just another consulting gig? If you're a seasoned cybersecurity consultant who’s hands-on, client-focused, and ready to lead — this is your chance to play a pivotal role in shaping this fast-growing cyber consultancy. We’re carving out a unique space in the UK cyber market — a truly independent, high-impact partner to mid-market and enterprise organisations that want security done right. We offer a full-spectrum service, built on expert advice, world-class delivery, and a no-nonsense approach. What You’ll Be Doing This is a hands-on leadership role at the core of our consulting capability — combining delivery, strategy, mentorship, and business development. You’ll: • Lead end-to-end delivery of complex consulting projects for major UK clients — from security gap assessments to crisis simulations, risk frameworks, and technical reviews., • Support the development and delivery of both technical (e.g. M365/cloud config reviews, vulnerability assessments) and GRC engagements., • Help shape and evolve our cyber propositions, working closely with delivery leads across managed services, threat intel, and MDR., • Scope and define client engagements with a clear focus on measurable outcomes., • Mentor and support junior and mid-level consultants — building team capability and consulting excellence., • Collaborate with the Head of Professional Services to define growth strategy, win new work, and support sales conversations. What You Bring We’re looking for a well-rounded consultant with deep domain knowledge, consulting experience, and the leadership skills to inspire others. You should have: • A track record of consulting and delivering a wide range of cyber engagements — both GRC and technical., • Strong understanding of frameworks like NIST, ISO 27001, CIS, and a pragmatic view on applying them., • Familiarity with technical tooling for assessments, vulnerability analysis, and cloud reviews (you don’t need to be an engineer — but you know your way around the tech)., • Experience working directly with clients to define risk and develop meaningful security strategies and controls., • Comfort leading both delivery and pre-sales activity — with strong commercial awareness., • Excellent written and verbal communication — able to distil complex security concepts for senior non-technical audiences., • Ability to lead teams, build trust, and manage multiple engagements with professionalism and integrity. Apply now and let’s have a conversation about your next big move - apply on-line or reach out to Ryan Kelly at

Principal Data Engineering Consultant Principal Data Engineering Consultant required to join the high-performing, busy Data & Insights practice of a boutique consultancy. This is a superb opportunity to lead and apply your data engineering skills across a variety of client projects. Day-to-Day As a Principal Data Engineering Consultant, you will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups. You will lead exciting and complex projects that vary in size and complexity, and you will take ownership of deliveries; gathering requirements, understanding business problems, designing and building solutions, reporting and analysis through to go-live and training. This role will provide you with plenty of opportunities to flex your data skills to help harness solutions and solve problems, and you will get to see the fruits of your labour and the impact the deliveries have on the client. You will be responsible for: • Engaging with customer stakeholders and building strong relationships, • Building and implementing technical data solutions for customers using a variety of different data tools and platforms, • Consulting with clients on the best approach and most suitable data technologies, • Technical project leadership, requirements gathering, delivery and documentation, • Using your hands-on technical skills to write code and build solutions, • Managing and mentoring junior consultants on deliveries You will need You will be a Technical Data Consultant or Data Engineer who has a track record of leading the design and delivery of data solutions. You will bring a strong blend of technical and functional experience and will have previously operated within a client-facing environment. You will be able to evidence where you have led the delivery of data solutions, managing projects and mentoring or overseeing the work of more junior colleagues. You will need to possess a hands-on technical skillset spanning data engineering, data integration and data migration. You will be adaptable and able to work with different tools and technologies, depending on the client and project needs but will ideally possess stength in: • MS Fabric stack, • Databricks, • Azure, • SQL, • Tableau / Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful, and you will be open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is also desirable but not essential. Excellent communication skills and the ability to engage and manage client stakeholders is also required. What is on offer? A competitive salary of £70,000-£85,000 is on offer (depending on your level of experience) as well as an annual bonus of £5k-£7k (paid quarterly), private medical, pension (up to 5% matched) and other perks such as a mobile phone allowance. This is a hybrid role that offers lots of flexibility to work remotely, but visits to the office in Surrey are required roughly once a week (some weeks less, some weeks more, with possible visits to client sites if requested) This consultancy has big ambitions to grow, so if you are a Principal Data Engineering Consultant and want to work alongside some of the industry’s best on some exciting client projects, then this could be the challenge you are seeking!

📍 Hybrid – 3 days a week on-site in London 💰 Up to £80,000 per annum 🔍 The Role As an Analytics Engineer, you’ll work across a range of exciting client projects, designing and building scalable data pipelines to support analytics on large, complex datasets. This is a client-facing role, ideal for someone who thrives in a fast-paced consultancy environment and enjoys working closely with stakeholders. You’ll also play a key role in mentoring junior team members and contributing to the wider data engineering strategy. 💼 What You’ll Be Doing • Building robust, scalable data pipelines across multiple client projects, • Presenting insights and technical solutions directly to clients, • Supporting and mentoring junior engineers within the team, • Collaborating with cross-functional teams to deliver end-to-end analytics solutions, • Leveraging modern cloud platforms and visualisation tools to drive client value 🛠️ Tech & Experience We’re Looking For • Strong SQL and Python skills, • Experience with cloud platforms such as GCP or Azure, • Hands-on with BigQuery, Synapse, or similar data warehouses, • Familiarity with data visualisation tools — D3.js or similar, • Proven client-facing experience, • Previous consultancy experience is highly desirable This is a fantastic opportunity to join a consultancy making real impact across data-driven projects. If you’re ready to take on a varied, client-focused role and help shape cutting-edge analytics solutions — we’d love to hear from you.

Lead Product Engineer £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA. Cloud Security Architectures (High Level / Low Level). Eligibility to work in the UK and, ideally, to obtain UK Government Security Clearance (SC), if required for certai

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