Future Tech Jobs
Future Tech Jobs
Supply Chain Data AnalystPeterborough | Monday - Friday, 9am - 5pm | £46,000Role -Supply Chain Data AnalystLocation - Peterborough, UKContract Type - PermanentWorking Pattern -Mon-Fri 9am-5pmSalary -£46,000 plus discretionary annual bonus of up to 15%Start Date -ASAPAbout CrownAs the world...
As a Delivery Solutions Architect at Databricks, you will collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform. You will lead the technical strategy and execution for key customers, ensuring their success and maximizing the value they derive from Databricks. This role involves both technical and commercial responsibilities, requiring strong technical skills and the ability to build executive relationships.
As a Resident Solutions Architect, you will work on short to medium-term customer engagements, designing and building big data solutions using the Databricks platform. You will collaborate with clients, provide technical guidance, and ensure successful project delivery while offering excellent customer service.
JOB ID:FEQ227R179Location:London, UKAt Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone....
The Client Success Managing Director leads the regional Client Success function, ensuring the overall success and profitability of client relationships. This role involves P&L responsibility, strategic leadership, and direct management of Client Success Directors, while representing the company at client steering committees and executive forums.
This role involves leading and scaling Thought Machine's global production support function for the Vault Platform, ensuring high availability and reliability for core banking and payments systems. The person will drive a strategic shift from reactive incident management to an AI-enabled, engineering-led support model, while ensuring compliance with financial regulations and seamless 24/7 operations across regions. They will act as the top incident escalation point, lead systemic improvements, and collaborate closely with engineering teams to treat reliability as a core product feature.
This role involves leading the design and implementation of complex, cloud-native systems for modern banking infrastructure. You'll drive technical direction across teams, solve highly ambiguous problems, and shape engineering standards and practices across the company. The position emphasizes mentorship, cross-functional collaboration, and improving code quality and operational excellence at scale.
This role involves designing and operating a Kubernetes-based MLOps platform that supports the full machine learning model lifecycle, from experimentation to scalable inference. The engineer will enable data scientists and ML teams with robust, secure, and user-friendly tooling while ensuring platform reliability, security, and operational excellence in production environments. It combines deep technical delivery with cross-functional collaboration to build platforms that support both traditional ML and LLM workloads.
This role involves designing and deploying a proprietary Skills Matching Index using algorithmic and NLP techniques to align employee skills with job vacancies and strategic workforce needs. The data scientist will build recommendation and optimization models that factor in skills, geography, and operational costs to improve talent deployment. Emphasis is placed on statistical rigor, bias mitigation, and transparent communication of model logic to leadership.
Lead the development and deployment of machine learning models from problem definition through to production, working with real-world operational data. Focus on rigorous experimentation, statistical reasoning, and integration within secure, regulated environments. Collaborate across technical and non-technical stakeholders to deliver impactful, well-engineered solutions.
This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.
This role involves working within a cross-functional product squad to solve customer and business challenges using data. The Senior Product Data Scientist will use SQL and Python to build analytical solutions, run experiments, and influence product decisions through data-driven insights. The position emphasizes hypothesis testing, statistical analysis, and clear communication of findings to shape product development.
The role involves guiding financial institutions through core banking modernisation using Thought Machine's Vault platform, from pre-sales to delivery. The Client Architect designs target architectures, leads technical discussions with senior stakeholders, and develops AI agents to accelerate implementation. They act as a technical authority, translating complex system capabilities into strategic solutions while influencing product direction based on client needs.
This role involves leading the design and implementation of complex, cloud-native systems for modern banking infrastructure. The Senior Software Engineer II will drive technical direction, mentor teams, and solve highly ambiguous problems across distributed environments. They will shape architecture, improve code quality, and influence product strategy while working on cutting-edge financial technology at scale.
This role involves working on short to medium-term customer engagements to solve big data challenges using the Databricks platform. The engineer will design and implement data engineering and data science solutions, integrate with client systems, provide technical training, and support the deployment of data and AI applications. Collaboration with cross-functional teams and providing feedback to product development are key aspects of the role.
