2929 IT & Software Developer jobs in the UK
AI Engineer – Generative AI Specialist
£63,000 - 84,000
Cognizant
Bishopsgate 280, London
£63,000 - 84,000
Requirements
Must:
- Strong experience in Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI)
- Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning)
- Proficiency in Python and familiarity with deep learning/NLP libraries (LangChain, PyTorch, TensorFlow, HuggingFace Transformers)
- Experience with building Q&A systems and retrieval-augmented generation pipelines
- Knowledge of vector databases or semantic search concepts
- Familiarity with cloud AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI)
- Knowledge of MLOps practices and deployment pipelines
- Ability to articulate business value of AI solutions and drive client conversations
- Experience with Git, collaborative development workflows, and cloud infrastructure (AWS, Azure, GCP, Domino)
- Experience building custom copilots and plugins using Microsoft Copilot Studio and integrating them with Power Platform connectors
- Proficiency in deploying AI workloads to Azure Container Apps (ACA), Azure Kubernetes Service (AKS), or serverless functions (Azure Functions) for event-driven agent triggers
- Experience implementing RAG using Azure AI Search (vector, semantic, and hybrid search) and OneLake/Microsoft Fabric
Responsibilities
- Design and implement Agentic AI architectures for enterprise workflows.
- Integrate Generative AI capabilities (LLMs, multimodal models) into client solutions.
- Deliver end-to-end AI solutions from ideation to production deployment.
- Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, LangChain, HuggingFace Transformers, or OpenAI API.
- Design prompt templates and implement retrieval strategies to increase answer precision and factuality.
- Assist in creating data pipelines for training and testing, including annotation and evaluation tooling.
- Collaborate with product managers to translate user requirements into technical features.
- Participate in error analysis, iterative model improvement, and performance tuning.
- Document code and workflows clearly; follow best practices for reproducibility and code quality.
- Engage with clients to identify high-value AI use cases and define business benefits.
- Conduct workshops and assessments to align AI strategies with organisational goals.
- Provide thought leadership on AI adoption and emerging trends.
- Develop reusable frameworks and accelerators for Agentic AI and GenAI.
- Ensure compliance with AI ethics, security, and governance standards.
- Mentor junior engineers and guide cross-functional teams.
- Stay ahead of industry developments in Agentic AI, autonomous agents, and LLM ecosystems.
- Develop and deploy autonomous agents using Azure AI Agent Service, ensuring state management, memory persistence, and secure tool execution.
- Orchestrate complex multi-agent workflows to handle tasks requiring planning, reasoning, and tool use.
- Extend Microsoft 365 Copilot by building custom plugins and declarative agents within Microsoft Copilot Studio to surface enterprise data in Teams and Office apps.
- Operationalize AI solutions using Microsoft AI Foundry for model catalog management, Prompt Flow evaluation, and lifecycle governance.
- Architect scalable deployment patterns for agents using Azure Container Apps or Azure Functions, ensuring low-latency responses and cost-effective scaling.
Description
We are seeking an experienced AI Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role is crucial as we lead transformative projects that combine autonomous agents and LLM-powered Q&A systems to deliver measurable business impact. Join our dynamic team and work on innovative solutions that redefine automation and decision-making within a collaborative environment.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Machine Learning Engineer salaries in the UK here.
How many Machine Learning Engineer jobs are in the UK?
Currently, there are 2929 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the UK a good place for Machine Learning Engineers?
The UK is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the UK?
The Scouts Association, Bluefruit Software Limited, SwapTix, Arctic Shores, Roke Manor Research Limited, Novus - Strategy & Consulting, MOD - Defence Digital among others, are currently hiring for ML, AI roles in the UK.
The company with most openings is Hays Technology as they are hiring for 94 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Hays Technology as they are hiring for 94 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.