Trabajos aws en SunderlandCrear alertas

forgd is the consultancy partnering exclusively with Anthropic to help enterprises build AI-native businesses. We start with engineering — helping organizations move from individual developers using Claude Code to entire teams shipping together with AI-native workflows — and expand into agentic solution delivery and broader business transformation. Our conviction is that engineers are uniquely positioned to lead this transformation. The strongest mental model for designing, deploying, and governing AI agents in production lives in software engineering. The teams that change how their organization builds software are the same teams equipped to shepherd the rest of the business into this new world. We embed and co-build with customer teams. Cycles are short, delivery is iterative and accountable to clear outcome goals. As an Applied AI Architect, you embed with enterprise customers and own the technical work across the full customer journey — initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability. Most engagements start in engineering. You'll work with customer engineering teams adopting Claude Code and redesigning their SDLC — code review, requirements, testing, documentation, and governance. From there, the work expands: co-building agentic applications and modernizing legacy systems on the Claude developer platform, and partnering with business stakeholders to deploy agents into core operations like sales, customer service, and finance. You're the expert in the room on how engineers work with Claude Code, what an agentic application looks like in production, and what has to change in an organization to sustain either. You build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment. Collaborate directly with Anthropic on customer engagements — joint working sessions, early access to product changes, and a direct line to their product and engineering teams. Lead Claude Code Labs and customer workshops Take customer teams from beginner to power user across Claude Code, Claude for Work, Cowork, and the developer platform Codify deployment patterns and feed them back to forgd's methodology and Anthropic's product teams Lead discovery into customer environments — engineering toolchains and workflows, business operations, and organizational dynamics — and turn that into clear technical plans Advise on how AI-native development changes existing engineering practices: issue management, branching, testing, code review, and security Guide adoption programs that scale Claude across engineering organizations and into business teams Scope engagements: assumptions, risks, milestones, and dependencies Embed with customer teams to co-build agentic applications on the Claude developer platform Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and deployment configurations — tailored to the customer's stack What Success Looks Like Customers move from proof-of-value to production Engineering teams measurably change how they ship software Customers become references Accounts expand on the strength of the work You May Be a Good Fit If You Have 3–5 years in a customer-facing technical role — Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical Consultant — or in a hands-on engineering role as a Software Engineer or Product Engineer Software development experience in a high-scale startup or enterprise environment; you know what it takes to write, ship, and operate production code Production experience with LLMs — prompt engineering, agent design, and evaluation frameworks. Power user of Claude Code or equivalent AI coding assistants; you live in AI-native development yourself Familiarity with enterprise development toolchains, CI/CD, and modern SDLC practices, and cloud-native deployment on AWS, GCP, or Azure Communication skills that work across the room — individual contributors, engineering leadership, and business stakeholders High agency and comfort with ambiguity; you operate autonomously in customer environments Background in professional services or consulting Track record leading developer productivity or developer experience at scale Vertical experience in financial services, healthcare, or other regulated industries Experience driving organizational change Work at the frontier: Direct partnership with Anthropic — joint engagements, early access to product changes, and working sessions with their Applied AI team Founding team: You shape how we work and grow as we scale Remote: Fully remote across North American and European time zones Compensation and benefits: Competitive salary, equity, and full benefits We encourage you to apply even if you don't meet every qualification. Research shows people from underrepresented groups often hesitate unless they meet every requirement, and we don't want you to exclude yourself prematurely. If you're excited about AI-native engineering and want to help enterprises change how they build software, we'd love to hear from you. forgd is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We make hiring decisions on merit, and we provide reasonable accommodations for candidates who need them during the hiring process. Please note that we are unable to provide visa sponsorship for this role. All applicants must have the right to work in the United Kingdom without employer sponsorship, now or in the future.

Description Location: Europe (100% Remote) Contract Type: Advisory / Project-Based About Us Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking an Agentforce AI Maestro to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe. Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position. A. Agentforce Architecture & System Design • Solution Architecture: Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome)., • Core Agent Engineering: Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions., • Deterministic Logic Integration: Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth. B. Agentic AI & LLM Engineering • Orchestration & Tooling: Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering., • Architectural Trade-offs: Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations. C. Enterprise Data & System Integration • Grounding & RAG: Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries., • System Interoperability: Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards. D. Testing, Security & Strategic Advisory • Testing & Quality Assurance: Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center., • Security & Guardrails: Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths., • Client & Team Leadership: Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams. Requirements • Experience: 5+ years of hands-on Salesforce engineering and architecture experience., • Agentforce Track Record: At least 2 meaningful production or advanced pre-production Agentforce implementations., • Location: Based in Europe with strong alignment with European enterprise hours., • Core Tech Stack: Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines., • AI Competency: Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks. Preferred Certifications & Qualifications • Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications., • Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP., • Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany). 1inch is seeking a Head of DevOps to spearhead our infrastructure and platform engineering department. This is a pivotal leadership position where you will transform traditional infrastructure support into a world-class platform engineering function. You will lead a dedicated team of engineers to build resilient, multi-cloud environments that empower our developers to deploy and manage services independently. By balancing strategic vision with technical rigour, you will ensure our global decentralised systems remain secure, scalable, and exceptionally reliable. • Strategic Leadership: Define and execute a DevOps strategy that aligns infrastructure growth with 1inch’s business objectives., • Team Development: Lead, mentor, and scale a high-performing engineering team while fostering a culture of automation and accountability., • Infrastructure as Code: Oversee multi-cloud Kubernetes clusters and ensure all environmental changes are managed via automated IaC and GitOps., • Developer Enablement: Standardise deployment processes and build self-service tools for secrets management and infrastructure provisioning., • Service Reliability: Define and implement SLIs, SLOs, and SLAs to ensure the stability and performance of critical services., • Observability & Incident Management: Oversee the full monitoring stack and establish formal incident response and post-mortem processes., • Security & Compliance: Enforce "security by design" and maintain strict adherence to ISO 27001 and SOC 2 regulatory frameworks., • Cost & Efficiency: Lead infrastructure consolidation initiatives and monitor cloud expenditure to identify strategic cost-saving opportunities., • Leadership Experience: 8+ years in DevOps/Infrastructure with 3+ years in a management role., • Proven Track Record: Experience scaling DevOps teams in fast-paced, high-growth tech environments., • Kubernetes Expertise: Deep knowledge of cluster management, networking, and security., • Automation Mastery: Extensive experience with Terraform (IaC) and GitOps practices., • Cloud Architecture: Proficiency in managing multi-cloud environments (AWS, Hetzner, GCP)., • Technical Depth: Strong understanding of service mesh and microservices architecture., • Observability: Solid experience with observability tools for metrics, logging, and tracing., • Security Mindset: Practical experience implementing security best practices within CI/CD., • Communication: Ability to articulate complex technical concepts to non-technical stakeholders., • Strategic Mindset: Balanced approach between long-term strategy and hands-on problem-solving., • Platform Engineering: Building developer-centric tools to increase engineering velocity., • Cloud Governance: Managing multi-provider cloud footprints and resource optimisation., • Incident Response: Leading high-pressure incident resolution and system recovery., • Mentorship: Coaching senior engineers and developing future technical leaders., • Process Design: Crafting standardised, scalable engineering workflows., • Web3 Infrastructure: Specific experience in blockchain or decentralised finance (DeFi)., • Event-Driven Systems: Knowledge of message brokers such as Kafka or NATS., • Chaos Engineering: Experience with resilience testing and fault-injection practices., • Edge Computing: Familiarity with CDN optimisation and edge-based service delivery., • Ecosystem Knowledge: Strong understanding of 1inch protocols and the Web3 landscape., • Join a young, creative team in a fast-paced and supportive environment, • We’re open to new ideas — if you’ve got a vision, pitch it and make it happen, • Enjoy competitive pay that matches your skills and experience, • Be part of a company that’s shaping the future of DeFi, • Take time when you need it — we offer unlimited vacation days, • Get fully compensated for your work gear — we’ll set you up for successWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. Our platform powers everything from automated compliance monitoring to AI-driven adviser guidance, helping some of the UK’s largest financial institutions deploy AI safely within FCA-regulated environments. The Role We’re looking for a Technical Platform Owner to sit at the heart of our Platform Engineering function, the team responsible for building the shared foundations that power every Aveni product. This is a newly created role, designed to bring structure, clarity and momentum to a rapidly scaling engineering environment. With multiple product teams depending on shared platform capabilities across five engineering domains, the complexity of coordinating, prioritising and shaping work has grown significantly. You’ll own that coordination layer. Working closely with our Head of Platform Engineering, you’ll act as the bridge between product and platform teams, ensuring work is properly defined, prioritised and technically understood before engineers begin delivery. You’ll help create the systems, processes and communication rhythms that allow our platform engineering teams to move quickly without sacrificing quality. This is an ideal role for someone who combines technical credibility with strong organisational instincts and enjoys bringing clarity to complex engineering environments. What You’ll Be Doing Acting as the primary intake point for platform requests coming from product teams and stakeholders. Running requirements workshops to turn high-level product goals into clearly scoped platform initiatives. Owning sprint planning, backlog refinement and quarterly planning across multiple platform squads. Collaborating closely with engineers and technical leads to shape work items with the right technical depth and acceptance criteria. Managing competing priorities across multiple engineering domains while maintaining delivery quality and alignment. Communicating platform roadmap progress, delivery status and risks clearly to both technical and non-technical stakeholders. Identifying inefficiencies in platform workflows and improving how work moves through the organisation. Using AI tooling and automation to improve engineering coordination, delivery visibility and operational efficiency. What We’re Looking For Previous experience as a Technical Product Owner, Technical Programme Manager, Engineering Delivery Lead, or similar role within a software engineering environment. A background in software engineering or hands-on technical delivery, with the ability to build credibility quickly with engineering teams. Experience coordinating work across multiple engineering squads or technical domains simultaneously. Strong facilitation and stakeholder management skills, with the confidence to lead technical discussions and planning sessions. The ability to bring structure and clarity to ambiguous or fast-moving problems. Familiarity with cloud-native architectures and distributed systems. Experience working in modern engineering environments using technologies such as AWS, Node.js and Python. A collaborative mindset with strong communication skills and a pragmatic approach to delivery. Why Join Aveni Work on genuinely difficult and meaningful problems at the intersection of AI, regulation and financial services. Help shape the future of an AI-native engineering organisation during a major growth phase. Join a team that actively embraces AI-assisted development and operational tooling. Influence how platform engineering operates across the business at a strategic level. Be part of a close-knit, ambitious company that values curiosity, ownership and thoughtful execution. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni. What you’ll love: Remote-first working across the UK Work abroad policy Co-working spaces available 34 days holiday (including flexible bank holidays) and your birthday off Company-wide off-sites Optional Personal Development Plan Flexible benefits platform Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions) Private health and dental care Potential share options Enhanced family leave

Atosis the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand. A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts. About Atos Group Atos Groupis a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris. About the Practice The Data Analytics & AI (DAA) Practice represents a growing capability within Atos and comprises a talented team of analysts, developers, consultants, architects, and data specialists delivering solutions across the entire information management lifecycle. We help organisations unlock greater value from their data through data engineering, integration, analytics, cloud transformation, and modern data platforms. Our technology-agnostic approach spans Microsoft, SAP, Oracle, IBM, Informatica, Talend, Cloudera, Qlik, and a range of specialist data technologies. As organisations modernise legacy platforms and accelerate cloud adoption, we support complex transformation programmes that migrate critical data integration, analytics, and operational workloads to secure, scalable cloud environments. Where Purpose Meets Career Lead the modernisation of enterprise data integration platforms, helping organisations migrate critical ETL and data processing workloads to the cloud. Influence technical strategy and architecture decisions, ensuring robust, scalable, and future-ready data integration solutions. Work alongside highly experienced architects, engineers, and data specialists delivering transformational data programmes across diverse industries. About the Role We are seeking an experienced Informatica Subject Matter Expert (SME) to provide deep technical leadership and consultancy throughout the discovery, design, migration, and implementation phases of major data transformation programmes. You will be responsible for ensuring Informatica workloads, mappings, integrations, and data pipelines are successfully re-platformed to modern cloud-based environments while maintaining data quality, integrity, and operational continuity. Working closely with architects, data engineers, project teams, and business stakeholders, you will define migration strategies, assure technical delivery, validate outcomes, and support the successful adoption of new solutions. Key Responsibilities Provide expert guidance on Informatica architecture, mappings, integration patterns, and cloud re-platforming approaches. Define ETL migration strategies, source-to-target mapping methodologies, and validation approaches in collaboration with delivery teams. Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge articles. Assure data pipeline integrity throughout migration, testing, validation, and dual-running activities. Mentor and guide Informatica engineers and project teams throughout the delivery lifecycle. Skills We Can't Do Without Extensive experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS). Strong expertise in ETL development, data integration, and source-to-target data mapping. Proven experience delivering data migration, validation, reconciliation, and data quality initiatives. Strong understanding of enterprise data architectures and integration patterns. Excellent stakeholder engagement, mentoring, and knowledge transfer capabilities. Skills We'd Like Experience migrating data integration workloads to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data engineering, data warehousing, and analytics ecosystems. Additional Requirements • Candidates must be eligible to obtain and maintainSC clearance. Location: UK-based. Hybrid working model with onsite attendance required based on project and client needs. National mobility may be required for client engagements. Benefits 25 days paid leave + National Holidays Pension Scheme contributions matched up to 10% Private Medical Cover Income Protection Life Assurance Flex Benefits Program We are a care leaver friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated support mailbox. As a Disability Confident employer, we encourage applications from all applicants, especially differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed to making reasonable adjustments to the application and assessment process to accommodate your needs. If you would like to discuss this opportunity further, please contact us via our dedicated mailbox: or directly with the responsible recruiter Elvira Dupcheva at . Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos. JBRP1_UKTJ

AWS Cloud Infrastructure Design, deploy, and manage scalable cloud infrastructure on Amazon Web Services (AWS). Monitor cloud security, compliance, and cost optimization using AWS native tools. Troubleshoot AWS networking, security groups, and hybrid cloud connectivity (VPN/Direct Connect).

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Technology Delivery Lead Energy & Utilities Location: Newcastle, UK| Hybrid Salary:up to £55,000 plus bonus We are seeking experienced Technology Delivery Leads to join a leading consulting and technology organisation, delivering large-scale technology and business transformation programmes across the Energy & Utilities sector. You'll take ownership of end-to-end technology delivery, managing projects, budgets, teams, suppliers and dependencies across complex transformation programmes. Key Responsibilities • Lead end-to-end technology delivery across design, build and test., • Deliver projects on time and within agreed budgets., • Develop and manage end-to-end delivery plans across multiple workstreams., • Lead project teams and manage resources., • Manage Risks, Assumptions, Issues and Dependencies (RAID)., • Manage project budgets, milestones and competing priorities., • Coordinate delivery across multiple suppliers and global teams., • Apply Agile, Scrum, Kanban and Waterfall delivery methodologies., • Provide technical expertise across solution design and implementation., • Deliver technology-enabled business transformation within the Energy & Utilities sector., • Manage projects involving AWS, Azure, Cloud and SaaS platforms such as Salesforce.Experience You'll Need, • 3+ years of technology delivery experience., • Energy & Utilities industry experience is essential., • Proven experience managing projects or significant project phases across the full delivery lifecycle., • Experience managing project budgets, resources and delivery plans., • Experience delivering projects involving AWS, Azure, Cloud or SaaS technologies., • Strong experience across Agile and Waterfall methodologies., • Practical experience of RAID management., • Experience managing project teams and resources., • Experience managing multiple workstreams and competing priorities.Desirable Experience & Qualifications, • Experience managing complex deliveries involving multiple suppliers and dependencies., • Experience with AWS, Azure and Salesforce., • Experience delivering large-scale transformation programmes., • Cloud, Industry or Programme Management certifications., • Experience within a global systems integration or professional services environment.What's On Offer, • Hybrid working., • Bonus, • Extensive benefit package, • Learning and development opportunities., • Opportunity to deliver major transformation programmes across the Energy & Utilities sector. If you have strong technology delivery experience, Energy & Utilities experience and a background delivering complex technology programmes, we'd like to hear from you. To hear more about this Delivery leadopportunity, hit apply or get in touch with Sophie Higginson at Anson McCade for a confidential discussion. AMC/SHI/DLNS JBRP1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

My client is looking for Infrastructure System Engineer, you will have experience of installations, builds, configuration, administration and support of Windows Active Directory large scale infrasturcutres and knowledge of Hyper- V and AWS are essential for this role: Windows & Active Directory (AD) Manage, maintain, and secure on-premises Active Directory and Azure Active Directory (Entra ID). Troubleshoot complex Group Policy Object (GPO) issues, DNS, DHCP, and AD replication errors. Execute identity management, user provisioning, and multi-factor authentication (MFA) rollouts. Perform Active Directory migrations, upgrades, and security hardening. Hyper-V Virtualization Build, configure, and maintain Microsoft Hyper-V clusters and virtual machine environments. Monitor resource utilization, storage performance, and system health. Troubleshoot hypervisor failures, virtual machine performance bottlenecks, and network connectivity issues. Implement disaster recovery, backup solutions, and business continuity plans for virtual workloads. AWS Cloud Infrastructure Design, deploy, and manage scalable cloud infrastructure on Amazon Web Services (AWS). Manage AWS core services including EC2, S3, VPC, IAM, Route 53, and RDS. Monitor cloud security, compliance, and cost optimization using AWS native tools. Troubleshoot AWS networking, security groups, and hybrid cloud connectivity (VPN/Direct Connect). We are looking for thefollowing: 6 month contract £(Apply online only) outside IR 35 ASAP Start - 2 days a week onsite For further inforamtion please can you contact Sarah Owen on (phone number removed) or email (url removed)

Experian is seeking a Backend Senior Software Engineer to design, build, and operate backend systems.Reporting to the Engineering Director, you will contribute to production software used by customers and partners, improving reliability, usability and the platform's evolution.You will own the full S

The role includes deploying SAP AEM on AWS EKS, configuring message VPNs, queues, and routing, and securing connections between edge brokers and cloud brokers.

AWS EMEA SARL (UK Branch) is seeking an Amazon Connect Specialist Solutions Architect to drive AI-enabled contact center adoption.

Searchability NS&D is seeking an experienced Principal Platform Engineer to join our team, delivering large-scale cloud platforms for Public Sector programmes.You’ll be the technical authority shaping platform strategy, defining engineering standards, influencing architecture decisions and providi

Capgemini is seeking an AWS Data Solution Architect to design and lead modern data platforms enabling analytics, AI, and GenAI at scale. You will leverage AWS analytics services to build secure, governed lakehouse and warehouse solutions, integrating with SageMaker and ensuring scalable, auditable d

CreateFuture is seeking an experienced AWS consulting leader to guide enterprise clients from strategy to delivery.

Be an integral part of an agile team that constantly pushes the envelope to enhance, build, and deliver top‑notch technology products.As a Lead DevOps Engineer at JPMorgan Chase within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and

The ideal candidate will have experience with React, AWS, and Kafka, and will work with cross-functional teams to ensure the impactful delivery of solutions.

A fast-growing tech company in London is seeking a Senior Security Engineer with robust expertise in cloud security (AWS and GCP).

Familiarity with AWS, Terraform, and Kubernetes is a plus.

A leading financial group in London is seeking a Vice President, AWS Cloud Technical Lead to design and implement cloud solutions, primarily on AWS, while also supporting Azure. The ideal candidate will have strong AWS engineering experience, hands-on scripting, and the ability to liaise effectively

The role focuses on owning AWS-based environments, orchestrating end-to-end STAP platform rollouts, and designing scalable, secure HPC workloads on AWS. The ideal candidate has strong SRE experience spanning development and operations, with proven AWS governance, security, and cost-optimization skil

Amazon Web Services (AWS) Professional Services is seeking a Delivery Consultant to design, implement and manage AWS solutions for enterprise customers in London.

Cloudscaler in Central London is seeking a Principal Cloud Engineer (AWS) to design and lead enterprise AWS environments.

AWS EMEA SARL (UK Branch) is seeking an experienced Delivery Consultant to join our ProServe team in London. You will work with customers to design, implement, and manage AWS solutions that meet technical and business objectives, guiding the cloud journey with best practices throughout the project l

Luxoft is seeking an experienced Senior Data Architect to lead the mobilisation phase of a strategic migration from Matillion to AWS Glue for a major financial market infrastructure client in London.

Amazon Web Services Professional Services (ProServe) is seeking a Senior Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice.You will lead the technical direction and delivery of complex enterprise AI engagements across multiple workstreams, helping customers a

Palo Alto Networks is seeking a highly motivated Senior Software Engineer to design, develop, test, secure and deploy services using AWS serverless architecture, CDK, and Python.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using t

Morson Human Resources Limited seeks a Java Tech Lead to join a software consultancy delivering a greenfield project in the iGaming sector.You will lead a product-based team, owning everything from design through deployment and production support.You will drive architecture, ensure robust delivery,

Amazon Web Services is seeking a results-driven Account-Based Marketing (ABM) Industry Marketing Manager to design and execute high-impact ABM programs for enterprise customers in Financial Services.This role blends strategic thinking with hands-on execution to accelerate pipeline and revenue growth

The company is committed to providing a fair and safe workplace for all employees and applicants, regardless of race, color, religion, gender, sexual orientation, age, national origin, disability status, or any other protected characteristic in accordance with applicable laws.

You will align technology with program goals, mentor teams, and drive innovation using AWS, microservices, and API integration to support IELTS and related education services.

We’re looking for an experienced AWS consulting leader who has spent their career advising enterprise customers—not simply designing cloud infrastructure, but helping organisations transform how they build products, use data and adopt AI. This role is ideal for someone who has worked within AWS

WPP Enterprise Solutions signed a multi-year Strategic Collaboration Agreement with AWS, and we are building toward AWS Premier Partner status. Prior AWS partner-company or direct AWS experience. This is the person AWS field leadership and client architects turn to when a deal needs technical credib

Version 1 is seeking an experienced AWS Architect to lead cloud design and implementation across high-profile European customers. You’ll work with architects, DevOps engineers and consultants to deliver scalable AWS solutions and data-driven architectures.

Amazon Development Centre (London) Limited seeks an AppSec Security Engineer to evaluate service design and architecture, and perform deep-dive security assessments to ensure applications and services meet a high security bar before launch.You will work with senior engineers to identify issues, driv

You will write Java/Spring Boot code, help shape system design and architecture, and work with AWS, Kafka, and AI tooling on distributed, real-time services.

AWS and microservices experience in MandatoryTechnical Leadership Architecture GovernanceOwn the overall application architecture and technical roadmapEnsure architectural integrity across production nonproduction and integration environmentsReview and approve solution designs for enhancements chang

As an AWS Technical Architect, you will make an impact by owning the end-to-end architecture for the NCDS AWS platform and setting the technical direction for secure, scalable and well-governed cloud solutions. At least eight years of experience in solution or technical architecture roles, including

The successful candidate will possess over 4 years of experience with KDB and Q, alongside skills in agile methodologies and cloud environments such as AWS.

Collinson, operator of Priority Pass, seeks a Lead DevOps Engineer to own the design, reliability, scalability, security, and cost efficiency of our production platform—a zero-downtime, multi-region AWS environment with Kubernetes, serverless workloads, and centralized AI enablement layers at scal

Capgemini is seeking an AWS Solution Architect to lead high-level solution designs for enterprise clients within the Financial Services Cloud & CCA practice.

This role has a strong emphasis on AWS serverless technologies and MongoDB, operating within a modern, Agile engineering environment. Building and operating cloud-native, serverless applications on AWS, ensuring solutions are secure, resilient, scalable, and optimised for performance and cost. Prove

Cognizant Consulting in London/Croydon is seeking a Cloud Architect - AWS Kubernetes (EKS) to design secure, resilient container platforms for a UK government law enforcement cloud programme. You will lead container environments on AWS using EKS, ECS and Fargate, implement Terraform and CloudFormati