Senior Machine Learning Engineer

CV-Library
Bishopsgate, City and County of the City of London
13 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Faculty AI London, United Kingdom
£0 pa Hybrid

Senior Machine Learning Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Remote

Senior Machine Learning Engineer

PhysicsX London, United Kingdom

Senior Machine Learning Engineer

Platform Recruitment Cambridge, United Kingdom

Senior Machine Learning Engineer

PhysicsX United Kingdom

Senior Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site
Posted
31 Mar 2025 (13 months ago)
Share
Save job
Create job alert

Senior Machine Learning Engineer
London (2 x days per week)
Up to £110,000

Series A startup with Series B lined up for H2 of 2025.
Agentic systems development.
Outstanding founding team.
My client is an established AI first business in London and are looking for an experienced ML Engineer to join their team.
 
This is your chance to be part of a truly impressive AI team and play a pivotal role in building agentic frameworks and multi agent systems.
 
The ideal profile will be someone that combines a strong academic background and ML theory along with a track record of building and deploying agentic systems in a commercial setting.  
 
Essentials:

Possess a deep understanding of NLP and commercial experience in building and deploying LLM solutions.
This place has a high technical bar so solid Python skills are a must.
MLE role - experience with agentic frameworks and familiarity with agentic systems - LangGraph, AutoGen etc.
Commercial experience deploying LLM applications to production.
What's in it for you?

£80,000 - £110,000 base salary.
Private healthcare. 
20% bonus. 
Opporuntiy to be part of an elite team and learn from some serioulsy talented people. 
Design and build cutting edge AI agents.
Hybrid working policy.
Their offices are located in Zone 1, central London, and operate a hybrid working policy with two days a week required in the office.

Unfortunately, no sponsorship is available at this time.

Reach out to Jamie Forgan for more information

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 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.