317 jobs for “Python”
NXA Talent LTD London £500 pd
Design and build agentic AI systems with multi-step reasoning, multi-agent orchestration and scalable AI microservices in Python and Azure OpenAI. Develop RAG architectures, vector search and orchestration workflows using Semantic Kernel and LangGraph, integrating enterprise systems via MCP. The role also covers AI governance, safety and deploying LLM services into production within a large retail environment.
Hays Technology Newcastle upon Tyne £450 – £550 pd
Hands-on technical lead role within a major AI transformation programme, designing and building production-grade RAG pipelines, semantic search, vector/embedding infrastructure and generative AI capabilities. Involves LLM orchestration, agentic workflows, AI evaluation and guardrails, MLOps, and mentoring engineers while integrating solutions into complex cloud and legacy environments.
Bowers Partnership London £825 pd
Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end, from prototype to production, for a boutique investment bank's M&A and advisory bankers. Works in a small team, writing production-quality Python and explaining models and assumptions directly to senior non-technical stakeholders. M&A experience is essential; hybrid with at least three days a week in the London W1 office.
Quantum Group London £42,000 – £45,000 pa
Analyse aged-receivables, debtor and payment data to identify credit and counterparty risk, estimate expected losses, and assess liquidity and cash-flow exposures. Build Python statistical models for default prediction, run stress tests, and develop Power BI dashboards tracking debtor days and collection rates. Maintain the risk register, prepare monthly leadership reports, and support audit and compliance work.
Salt Search London £70,000 – £100,000 pa
Build and scale a cloud-native AI platform for real-time video security, working across Go and Python backend services and React/TypeScript frontends. You'll design APIs and distributed systems handling real-time video and sensor data, collaborating closely with product and ML engineers and owning features from design to production.
Avanti Recruitment Saint Peters, Australia £80,000 – £100,000 pa
Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.
Michael Page Leeds £40,000 – £48,000 pa
Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure. Requires Python, R or SQL plus statistical and machine learning techniques, with GIS tooling also desirable.
Reperio Human Capital Athlone, Ireland £69,059 – £86,324 pa
Defines the technical strategy and architecture for AI-enabled Fixed Network solutions, leading delivery of Generative AI, Agentic AI and network automation to modernise OSS platforms. The role combines hands-on work with GCP, Python, Kubernetes and microservices with leadership of complex multi-vendor technical programmes in a telecoms environment.
Adria Solutions Huddersfield £55,000 – £70,000 pa
Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Involves dataset preparation, model evaluation, performance tuning for accuracy and inference speed, automated testing and debugging of vision pipelines. Hybrid or remote, with a path to lead an AI team.
Randstad Technologies Recruitment London £432 – £484 pd
Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role blends Python/Java engineering, AWS and Azure cloud pipelines with Airflow orchestration, plus roughly 20-25% frontend work on guardrail interfaces, alongside production support and ML evaluation metrics.
DCV Technologies London
Designs and builds agentic AI systems with multi-step reasoning, planning and action execution, using Python, Azure OpenAI, Semantic Kernel and LangGraph for multi-agent orchestration. Works on RAG architecture, vector stores, MCP tool integration and productionising LLM services for a major UK retailer, with a focus on performance, cost, latency, governance and responsible AI.
Reperio Human Capital Athlone, Ireland £69,059 – £86,324 pa
Lead the technical strategy and architecture for Generative AI, Agentic AI and network automation projects, guiding delivery teams that modernise end-client systems. The role blends hands-on engineering with technical leadership across GCP, Python, Kubernetes, APIs and event-driven microservices in a DevSecOps environment.
Vallum Associates London £475 – £500 pd
Data scientist role focused on collecting and analysing large datasets, building experimental models and machine learning applications in Python, and performing complex statistical analysis. Involves leading small teams on data science products, developing classical ML and LLM solutions with prompt and RAG techniques, and mentoring junior data scientists. Hybrid working with two days per week in the London office.
The Portfolio Group London £80,000 pa
Design and deliver production-grade AI systems with a focus on RAG pipelines, agentic workflows, and LLM optimisation. Work with LangChain, LangGraph, and LlamaIndex on retrieval strategies, evaluation frameworks, and fine-tuning, while mentoring junior engineers within a growing AI function.
Sanderson London £550 – £700 pd
Builds, deploys and maintains machine learning models and end-to-end ML pipelines in a modern cloud environment, writing production-quality Python and SQL. Works with data scientists, analysts and engineers to take AI products from proof of concept to production, including NLP and large language model work, plus monitoring and documentation.
