Senior Data Engineer

Senior Data Engineer page is loaded## Senior Data Engineer locations:
Milton Keynes, Buckinghamshire, United Kingdom time type:
Full time posted on:
Posted Todayjob requisition :
REQ
569033
** What success looks like in this role:
** At
** Unisys**, we are dedicated to building high-performance, secure digital solutions that drive innovation and transformation for our clients. With a legacy of over a century in technology leadership, we empower businesses and governments around the world to achieve new levels of efficiency, security, and customer satisfaction. Our team thrives on solving complex challenges with cutting-edge technologies, and we are proud to be a trusted partner to some of the world’s most respected organizations.

We are seeking an experienced, hands-on Senior Engineer with specialized skills working on developing applications and a flair for Generative AI and AI/LM technologies. The engineer will be responsible for:
• Quickly converting an idea to a demonstration
• Lead the design and development of Generative AI-based applications.
• Working within in a Scrum team to develop rapid prototypes.
• Evaluate, select, and integrate AI tools and frameworks that are essential for generative AI development.
• Stay up to date with the latest advancements in generative AI and contribute to our research efforts in this field.
• Learning, evaluating and leveraging a variety of AI tools and technologies.
• Being a self-starter and able to work independently, as well as within a team, to deliver a result.
• Provide guidance and mentorship to junior AI engineers, fostering a culture of continuous learning.
• Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines.
• Design, train, fine-tune, and evaluate ML and NLP models (including small/medium language models) using robust experimentation practices, clear success metrics, and offline/online evaluation.
• Build and maintain data pipelines for ML (ingestion, validation, feature engineering, labeling) with reproducibility, lineage, and governance.
• Implement retrieval-augmented generation (RAG) and hybrid search, including embeddings, vector stores, and re-ranking to improve quality and guardrails.
• Optimize LLM/SLM inference (quantization, distillation, batching, caching) for latency, throughput, and cost; select and tune serving stacks (e.g., vLLM/TGI/Triton) and GPU/CPU targets.
• Operationalize models with MLOps/AIOps best practices: CI/CD for models, model/version registries, feature stores, automated testing, canary/blue–green rollouts, A/B tests, and rollback strategies.
• Deploy, scale, and monitor models on Kubernetes (Helm, Rancher, AKS, K3S) and cloud AI platforms; instrument for observability (metrics, logs, traces), data/label drift, bias, hallucination and safety events.
• Implement security, compliance, and privacy-by-design for AI systems (PII handling, policy enforcement, content moderation, prompt/response safety, secret management).
• Partner with Data Engineering and Platform teams to ensure capacity planning, cost controls, and reliability (SLOs/SLIs) for model serving in production.
** You will be successful in this role if you have:*
* • Must have proficient skills working on Large Language Models (LLMs).
• Proficiency in evaluating, deploying and using on premise open source technology stacks.
• Proficiency in Azure Cognitive Services, which includes Azure Language Service, Azure Text Analytics, Azure Speech Service, and other AI-related offerings.
• A good understanding of OpenAI's GPT models and how it integrates with Azure services. This includes knowledge of GPT's capabilities, limitations, and available features.
• Strong programming skills in Python for working with Azure services and data manipulation.
• Good understanding of databases e.g. Postgres
• Proficient knowledge of back-end programming languages like NodeJS, Python and/or Golang
• Proficient knowledge on one of front-end technologies like React or Angular
• Hands on technical Skills related to Backend development.
• Experience with AWS and GCP is an added advantage.
• Demonstrated Cluster Management knowledge and experience…