11 of 11 Generative AI Jobs in Stevenage

AI/ML and Data Science Developer Telco Industry Location: Stevenage - Onsite SC Cleared or Eligible for SC Clearance We are working with a global Innovation and Technology Consultancy, who are looking for a Senior AI/ML Developer & Data Scientist to lead the development of intelligent, data-driven solutions that solve real-world problems and … enable next-generation telco services. You’ll play a critical role in designing, building, and deploying AI/ML solutions—from ideation to production—while collaborating with cross-functional teams to shape the future of connectivity. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and … using statistical techniques Key Skills: 5+ years of experience in AI/ML development Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Machine learning frameworks (e.g., TensorFlow, PyTorch) Proficiency in Python, R, or other relevant programming languages. Experience with data analysis and visualization tools (e.g., Matplotlib More ❯

and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who … combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads into secure, scalable Azure environments. The role requires deep platform knowledge - especially across Azure More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯

the short term, we're scaling to Steam and console to build the foundations for that future. Since inception, we’ve been pioneers in blending storytelling with technology, using GenAI tools like GPT-4, MidJourney, and ElevenLabs to elevate narrative while staying lean and creatively agile. This is an opportunity to join a bold, early-stage studio rewriting what interactive … interactive storytelling Backed by Amazon, Sony, and other top-tier investors Recognised by a16z as one of the few studios shaping the future of interactive storytelling in the AI era Overview Scriptic is pioneering interactive narrative experiences, building on our successful mobile IP and expanding onto cloud and desktop platforms. We're looking for a Cross-platform Tooling … Familiarity with cloud gaming platforms or cross-platform deployment frameworks. Exposure to narrative design tools or story-driven development pipelines. Passion for storytelling or narrative games Interest in AI tooling and technology. Unity 3D, Game Tools, Lead, C#, Cross-Platform Development, Console, PC, Mobile, Engineering More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯

Based Systems Engineering (MBSE) practices across UK programmes. Contribute to End-to-End Model Based Engineering (E2E MBE) initiatives, promoting modelling for cross-disciplinary collaboration. Drive adoption of generative AI tools within systems engineering, supporting development and deployment on live projects. Oversee initiatives in engineering data modelling, management, governance, and analytics. Produce and maintain best-practice More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Ref. code More ❯

Senior AI Engineer | HealthTech | Remote UK/EU | £100-150k base + Equity A seed-stage HealthTech start-up with backing from notable tier 1 VCs is seeking to recruit its first AI engineer. This company already has a seven-figure ARR and is close to announcing a large Series A. About the Role: You … ll design and build a range of AI systems and technologies. From agent-based AI systems, voice automation, recommendation engines, and intelligent healthcare workflows. You'll have the autonomy to make technical decisions, work hands-on with real-world healthcare data, and directly impact patient outcomes. If you love taking ideas from prototype to production, have … and maybe even voice tech, and want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and More ❯

Engineer Support to join our dynamic team in the defence sector. The ideal candidate will have a strong background in data management, systems engineering, and the application of AI-based productivity tools and emerging technologies. This role is pivotal in supporting our systems engineering processes from a business perspective, ensuring the effective exploitation of AI and … other advanced technologies. Key Responsibilities: Data Management: Oversee and manage data related to systems engineering projects, ensuring data integrity, security, and accessibility. AI and Emerging Technologies: Leverage AI-based productivity tools, generative AI, and other emerging technologies to enhance systems engineering processes and business operations. Systems Engineering Support: Provide expert support in … systems engineering, including requirements analysis, system design, integration, and testing. Collaboration: Work closely with cross-functional teams to ensure seamless integration of AI tools and technologies into existing systems engineering workflows. Documentation and Reporting: Maintain comprehensive documentation of systems engineering processes and AI tool applications, and prepare regular reports for senior management. Continuous Improvement: Identify opportunities More ❯

My client is a global leading Digital Consultancy specialising in Cloud Adoption, Digital Architecture/Transformations & NextGen AI Solutions, with offices in London, Manchester, Newcastle and Glasgow (offering a 'flexi working model' of remote first or hybrid + ad hoc client site travel when required). Clients include Government, Finance, Retail & Energy sectors (among other private sectors). … Maximize Investments: Leverage and maximize clients' existing investments in ITSM tools and frameworks. Roadmap Development: Develop roadmaps to improve DevOps maturity and unlock value through NextGen technologies like Generative AI and Platform Product Management. Collaborative Transformation: Work with all organisational levels to innovate, design, and implement modern technologies, processes, and operating models, delivering sustainable transformations Primary More ❯

and practical deployment of MBSE approaches across UK projects • Supporting E2E MBE initiatives and improving collaboration between engineering domains through advanced modelling • Leading the exploration and application of generative AI tools within the systems engineering function • Advancing engineering data modelling, governance, and analytics, ensuring effective adoption on live programmes • Documenting and disseminating best practice across engineering More ❯