Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Python Developer

Tower, Greater London
11 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer (Competitive + Equity) at VC-backed AI logistics platform

Computer Vision Tech Lead

Senior Data Engineer

Senior Data Analyst

Senior Data Engineer

Senior Machine learning Engineer (GraphRAG)

Senior Python Developer

£75,000 + Bonus + Benefits

London 1-2 time a week, remote working otherwise

Python

AI concepts

MongoDB

Backend Developer/Full stack engineer

My client, an award-winning B2B/B2C content consultancy, is embarking on a groundbreaking AI product and is seeking a talented Senior Full Stack Developer with essential skills in Python, MongoDB, and a strong background in developing AI-driven solutions. This is an exciting opportunity to work closely with the Product Owner and C-suite executives to deliver disruptive technology in a highly innovative environment. While JavaScript frameworks such as React, Next.js, and Node.js are desirable, the focus of this role will be on building robust backend systems to power AI-driven tools and services.

This is a unique opportunity to lead the development of transformative digital solutions while collaborating with a small, agile team of creatives, engineers, and stakeholders.

Why Join?

  • Be part of a small, dynamic team where your contributions genuinely matter.

  • Play a pivotal role in both technical development and influencing design and execution strategies.

  • Engage in cutting-edge AI initiatives with ample scope for personal and professional growth.

    Key Technical Skills Required:

  • Python programming.

  • Knowledge of AI concepts

  • MongoDB

    Key Responsibilities:

  • Backend Development: Design, build, and optimise scalable backend systems using Python and MongoDB to support AI-driven applications.

  • AI Integration: Collaborate with AI specialists to develop and integrate machine learning models into production systems.

  • Database Management: Manage and maintain MongoDB databases to ensure secure, efficient, and reliable data storage and retrieval.

  • API Development: Create and secure APIs for seamless integration with frontend systems and AI components.

  • Collaboration: Work closely with product managers, project managers, and designers to deliver high-quality solutions that meet business goals.

  • Technical Leadership: Provide guidance on best practices for developing AI-driven systems and backend architecture.

  • Documentation: Produce and maintain clear, comprehensive technical documentation for processes, APIs, and system designs.

    Essential Skills & Experience:

  • Proficiency in Python with experience in backend development and integration of AI solutions.

  • Strong expertise in MongoDB database design, optimisation, and management.

  • Experience building and deploying AI or machine learning solutions in a production environment.

  • Knowledge of designing and managing secure RESTful APIs.

  • Familiarity with cloud infrastructure and deployment strategies.

    Desirable Skills & Experience:

  • Experience with JavaScript frameworks like React, Next.js, and Node.js.

  • Familiarity with server-side rendering (SSR) and static site generation (SSG).

  • Understanding of modern frontend technologies such as Tailwind CSS and TypeScript.

  • Knowledge of integrating frontend systems with AI-driven solutions.

  • Proficiency in version control tools like Git

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.