Python Engineer

Harvey Nash
Birmingham, United Kingdom
Today
£65,000 pa

Salary

£65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)

Python Engineer

Hybrid working - 3 days per week onsite

Salary up to £65,000 per annum

A leading Birmingham-based client is seeking a Python Developer to design, build, and deploy applications using Python frameworks and LLM APIs. The position focuses on developing scalable, secure AI services in Azure's public cloud and involves hands-on work throughout the development lifecycle, including API design, data access, AI integration, and cloud deployment.

Key skills and responsibilities:

  • Design, develop, and maintain AI-driven applications and services utilising Python.
  • Build and manage RESTful APIs with FastAPI.
  • Integrate and oversee Large Language Models via OpenAI API or Claude (Anthropic) API.
  • Implement robust data access layers using SQLAlchemy.
  • Enhance performance and scalability by leveraging Redis for caching, session management, and task coordination.
  • Develop analytical dashboards and streamlined user interfaces with Dash.
  • Deploy, configure, and support applications on Azure App Services (Public Cloud).
  • Ensure all solutions adhere to security, performance, and reliability standards.
  • Collaborate effectively with product owners, data engineers, and stakeholders to translate business requirements into solutions.
  • Produce clean, maintainable, and thoroughly documented code while supporting technical best practices.

.

Interested?! Send your up-to-date CV to Emma Siwicki at Harvey Nash for review

Related Jobs

View all jobs

Backend Python Engineer, AI & Data

Partnerscale London, United Kingdom
£45,000 – £55,000 pa Hybrid

Senior Python Engineer

Harvey Nash Birmingham, United Kingdom
£70,000 pa Hybrid

Senior Python Engineer

Just Eat London, United Kingdom
£50,000 – £80,000 pa On-site

ML Ops Engineer | York

Oliver James North Humberside, United Kingdom
£50,000 – £70,000 pa Hybrid

Senior Machine Learning Engineer - Agentic AI Platform

Robert Half Cambridge, United Kingdom
£40,000 – £70,000 pa Hybrid

Senior Research Engineer - Interactive Avatars

Synthesia London, United Kingdom
Remote

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.