Future Tech Jobs
Future Tech Jobs
The Solutions Consultant role involves developing and executing training and education strategies to help customers quickly realize value from Synthesia's AI video platform. Responsibilities include creating engaging content, defining the onboarding process, and collaborating with internal teams to drive product adoption and customer success.
This role involves serving as a technical team member on incident response engagements, developing and using new methods to hunt for bad actors, and performing host and network-based forensics across various platforms. You will support the production of high-quality reports and recommendations for key stakeholders, including customer management and legal counsel.
This role involves deploying and optimizing CrowdStrike's AI-powered threat detection and response capabilities, working closely with customers to integrate these technologies into their security operations. Responsibilities include configuring machine learning algorithms, developing automation playbooks, and providing technical support for AI-driven security solutions.
This role involves leading the enterprise data architecture for a global consultancy in the insurance sector, focusing on data platforms, data products, and AI capabilities. You will work closely with senior stakeholders, define data governance, and provide deep technical leadership across various insurance domains.
As a Solutions Architect, you will design and deliver cloud-native, AI-driven digital services that directly impact UK residents. You will work in multidisciplinary teams, focusing on scalable, secure, and user-centred solutions while championing the adoption of AI and modern architecture patterns.
This role involves developing and scaling AI-powered solutions for enterprise clients, focusing on GenAI frameworks and full-stack development. You'll collaborate with senior stakeholders and engineering teams to design and build intelligent applications, while also growing your skills in emerging technologies.
This role involves developing and scaling AI-powered solutions for enterprise clients, focusing on GenAI frameworks and full-stack development. You'll collaborate with senior stakeholders and engineering teams to design and build intelligent applications, while also supporting the development of robust infrastructure.
Lead a multidisciplinary engineering team building software for global brands, with end-to-end ownership of delivery and technical direction. Maintain hands-on coding in Python within AWS-hosted environments, driving engineering excellence and acting as a technical advisor to clients. Focus on scalable systems, team growth, and bridging technical and business stakeholders.
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.
This role involves building and maintaining MLOps frameworks to deploy, scale, and monitor machine learning models in highly secure, air-gapped environments. You'll work across engineering and data science teams to develop automated CI/CD pipelines, containerised applications, and production-grade ML systems using tools like GitLab, Docker, Kubernetes, MLflow, and Airflow. The role supports critical public sector digital transformation programmes with a focus on security and scalability.
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.
This role involves designing, building, and deploying production-grade generative AI systems, implementing RAG pipelines, and developing agentic workflows. You will work closely with platform, product, and delivery teams to ensure AI systems are accurate, reliable, and scalable, while providing technical leadership and mentoring to other engineers.
The role involves designing, developing, and maintaining high-quality software components using Java and C++. You will work closely with clients, domain scientists, and computational engineers to understand requirements and translate them into effective software solutions, while also contributing to software architecture and mentoring junior developers.
This role involves designing and developing automation solutions using modern scripting and low-code/no-code platforms, integrating AI capabilities, and working with Microsoft cloud technologies. You will collaborate with engineering and service delivery teams to identify automation opportunities and support the development of reusable best practices.
As a Senior AI Engineer, you will design, build, and deploy production-grade generative AI systems, focusing on RAG pipelines, agentic workflows, and rigorous evaluation frameworks. You will provide technical leadership, mentor engineers, and collaborate closely with platform, product, and delivery teams to ensure AI systems are accurate, reliable, and grounded in business value.
