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A Data Engineer is required by an international technology innovation organisation to join their data science team and support and manage a cloud-based data platform used by data scientists. Responsibilities: Administering and maintaining cloud data platform and building data pipelines. Integrating software components into fully functional, production-ready data products. Troubleshooting workflow and pipeline issues, creating solutions and patches to help improve stability of data platform. Maintaining and administering databases; create new databases using APIs and ETL protocols for new projects. Support data scientists by ensuring scalable, reliable, and efficient data infrastructure. Required experience and skills: Data engineering experience. Exposure to Agentic AI systems and AI-driven workflows. Strong understanding of data models, data mining, data wrangling, and segmentation techniques. Experience with Python. Hands-on experience with SQL. MLOps environments experience.

We're Hiring: Data Engineer | Agentic AI & MLOps London (Onsite) Permanent Role pay Up to £60k base + 10% bonus + strong benefits Role Overview: We're looking for a Consultant-level Data Engineer with strong Agentic AI and MLOps expertise to help our clients design, build, and scale production-grade AI solutions. This role blends hands-on engineering, client-facing consulting, and solution design across enterprise environments. What You'll Do: Partner with clients to understand business problems and translate them into data & AI solutions Design and deliver scalable data architectures supporting Agentic AI use cases Build and operationalise ML and LLM pipelines using modern MLOps practices Enable Agentic AI workflows (LLMs, tools, memory, orchestration) Lead technical discussions, solution workshops, and architecture reviews Support RAG pipelines, vector databases, and enterprise data integrations Contribute to proposals, estimations, and technical documentation What We're Looking For: Strong experience in Data Engineering (Python, SQL, cloud data platforms) Proven MLOps experience (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML) Hands-on exposure to Agentic AI/LLM frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel) Experience delivering solutions on AWS, Azure, or GCP Solid understanding of CI/CD, Docker, Kubernetes Comfortable in client-facing and stakeholder-management roles Note: Unfortunately, we are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK.

Salesforce Product Manager is required by an international organisation to lead the definition and delivery of the Salesforce product across multiple regions in which the company operates. You will be responsible for: Defining the product delivery roadmap, planning Salesforce product improvements and developments, and communicating them to teams across all regions. Overseeing product delivery by leading sprints, refining the backlog, executing releases, tracking progress, and managing risks and dependencies. Translating business requirements into user stories, acceptance criteria, and release plans. Planning Salesforce product improvements and developments and communicating it with teams in all regions. Driving Salesforce product adoption by developing and executing adoption plans, including training, communication, and supporting rollouts. Required experience and skills: Salesforce Product Owner or Product Manager experience. Experience managing backlogs and prioritizing competing business requirements. Strong stakeholder management skills across technical and non-technical audiences. Strong understanding of Salesforce architecture and configuration. Experience with multi-region Salesforce deployments and rollouts. Salesforce certifications will be beneficial

Enterprise Cloud Architect is required to shape and evolve cloud and platform strategy across a large programme. This role will help ensure a reliable, secure, and cost-effective Azure cloud setup, making sure modern, cloud-native services are built and run consistently. You will be responsible for: Defining a strategic vision and conceptual architecture for the organisation's Azure cloud platforms. Leading and supporting Azure Landing Zone assessments for key platforms, identifying maturity gaps and improvement initiatives. Providing enterprise cloud architecture input to ongoing technology transformation initiatives across the programme. Supporting cloud architecture assurance by defining architecture problems, producing concise summaries, and contributing to design decisions. Communicating architectural decisions to senior stakeholders. Representing architecture in working groups, securing buy-in and approvals from senior stakeholders. Required experience and skills: Proven experience as an Enterprise or Lead Cloud Architect in large, complex organisations. Strong hands-on knowledge of Microsoft Azure, including Azure Landing Zones and cloud-native architectures. Experience defining cloud platform strategy, conceptual architectures, and target operating models. Exposure to various aspects of cloud architecture, including cloud resilience, security, cost/FinOps, performance, and more. Demonstrated ability to assess platform maturity and translate findings into actionable improvement initiatives. Experience working with senior stakeholders, governance forums, and cross-functional teams, with the ability to clearly communicate architectural vision and trade-offs.

We're hiring an experienced Salesforce Solution Architect to own the architectural design and technical direction of a Salesforce platform supporting Sales, Renewals, and Marketing at enterprise scale. Key focus: Define Salesforce architecture, roadmap, and standards Design scalable, secure solutions and enterprise integrations (ERP, data, analytics) Act as technical design authority and governance owner Translate business needs into sustainable Salesforce designs Leverage Salesforce automation and AI to improve efficiency Support global rollouts and long-term platform scalability Requirements: 5+ years in Salesforce architecture roles Strong experience with Salesforce Clouds, Lightning, Flow, APIs, and Data Cloud Enterprise integration and governance experience Excellent stakeholder communication skills Salesforce Architect certifications preferred