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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - (Manager) BIP xTech - **Company:** Business Integration Partners - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Azure Machine Learning, Azure Data Factory, Large Language Models, SC Clearance, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Terraform, Docker, Databricks - **Published:** September 3, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2953630278-2 ## About the Role engineering standards and collaboration.Implement secure, scalable deployment patterns aligned with governance, compliance, and Responsible AI expectations.Embed monitoring, evaluation, and continuous improvement across AI solutions.Collaborate closely with Data Engineers, Cloud/Data Architects, and Software Engineers to deliver coherent platforms.Contribute to pre-sales, discovery, and proposal development by shaping solution options and delivery approaches.Build strong relationships with clients and partners, acting as a trusted technical advisor.Experience & Capability3+ years' experience delivering AI and ML solutions in production environments.Demonstrated experience delivering GenAI and LLM-based solutions from prototype through to production.Strong Python engineering skills, with a focus on quality, testing, and maintainability.Solid foundations in machine learning concepts, evaluation techniques, and statistical fundamentals.Experience working with Databricks and one or more major cloud platforms (Azure, AWS, or GCP).Strong understanding of security-by-design, including access control, secrets management, and secure networking.Ability to align AI solutions with governance, compliance, and Responsible AI requirements.Proven experience leading delivery and coordinating multidisciplinary engineering teams.DesirablePractical experience implementing MLOps and LLMOps practices (CI/CD, automated testing, model lineage, reproducibility).Experience with infrastructure automation and platform engineering (e.g. Terraform, Docker, Kubernetes).Experience creating reusable engineering assets and accelerators.Experience working in regulated environments.Relevant certifications (e.g. Azure AI Engineer, Azure Data Scientist, AWS Machine Learning - Specialty).Eligibility for, or existing, UK Security Clearance (BPSS/SC/DV).Working at BIPHybrid working, with regular time in a BIP office and at client sites as required.Opportunity to work at the forefront of applied AI delivery within a growing Centre of Excellence.A culture that encourages innovation, collaboration, and ownership.Full timePosting Date: 2026-02-09 ## Description business value and are secure, responsible, and production-ready.Role PurposeAs a Senior AI Engineer, you will design, build, and run production-grade AI solutions, working end-to-end from use case definition through to deployment, monitoring, and continuous improvement. You will combine strong engineering discipline with applied machine learning expertise, ensuring solutions are robust, scalable, and aligned with Responsible AI principles.You will also lead delivery across AI workstreams, mentor engineers, and support business development activities.Key ResponsibilitiesDesign, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems.Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving).Lead AI/ML workstreams end-to-end, including planning, delivery governance, and stakeholder management.Mentor and support AI engineers, data scientists, and software engineers, fostering high ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)