Python GEN AI LLM Developer - Enterprise/AI - Investment Bank £750 - £925 p/d

Adlam Consulting
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

Senior Machine Learning Research Engineer

Senior Machine Learning Engineer

Data Scientist - GenAI - Consultant

Data Scientist - GenAI - Consultant

MLOps Engineer- Contract Role

Python GEN AI LLM Developer - Enterprise/AI - Investment Bank £750 -£925 p/d

Python and strong attitude are core requirementsProven track record of Python3+ and Django, fastAPI The core platform is a Web Application built in Python and React/TypeScript. Knowledge of Kubernetes and Docker Familiar with CI/CD processes nominally Jenkins, Ansible Competent DB/SQL skills Knowledge of Machine Learning - Model Testing, popular ML Libraries etc. Excellent analytical skills with the ability to translate technical concepts and provide specialist guidance and advice to others. Ability to work with individuals to set individual objectives and manage performance to ensure their delivery. Ability to liaise with stakeholders to act as bridging point

ROLE

To work as a developer in the Generative AI team which is split between London and Lisbon Participate in an agile based software development life cycle including technical analysis, documentation, development, testing, code reviews and working with infrastructure teams as needed. Supporting the Generative AI platform service and ensuring it's availability and continuous improvement to new language models and techniques and use cases. Proactively manage all issue facing the team - technical, functional or organisational.

Background in C#, Java, .NET or Enterprise language. Understand Dev Ops, Kubernates, Monitoring tools, API
Experience - Blue chip/Investment Banking ideally but solid dev experience in a large corporation building apps could work.

Prior experience of operating in a complex and diverse IT environment systems. Results orientated with a clear understanding of how the results impact the business counterparts.

Person will need to know how to Productionise models, moneterise applications.
Seeking enterprise python engineering skills 10-15 years ideally,

This role offers hybrid working 50% and is inside IR35 Umbrella

Job ref:ADL3265

Adlam Consulting operates as an Employment Agency & an Employment Business Applicants must be eligible to work in the specified location

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.

Careers

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.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 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.