Machine Learning Engineer

Limbic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Bristol

Audio Machine Learning Engineer

Limbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere. The way we do that is by deploying AI responsibly, using it to augment clinical care and reduce barriers to accessing therapy at scale. Limbic is already used in over 33% of Talking Therapies in the NHS and is deemed safe and effective after successfully gaining UKCA Class IIa certification, the only AI mental health chatbot to do so.

We're seeking a Machine Learning Engineer to help deliver best-in-class AI for mental health care. You will develop, refine, and maintain the functionalities that allow us to serve our ML-capabilities in the product. You will play a critical role in translating our AI research into products that help our users in the real-world.

What you’ll do:

  • Build architecture to efficiently combine LLM features with our in-house safety guardrails and clinical ML-models. This includes working with leading commercial AI models from OpenAI, Anthropic or Google, and also working with in-house self-hosted instances of models like Llama
  • Collaborate with machine learning scientists to integrate AI models with backend services
  • Help build and tune custom models
  • Ensure the ML teams APIs integrate with the rest of the product teams work (e.g. logging, security)
  • Troubleshoot, identify bottlenecks, and address any backend issues

Sample recent projects:

  • Train and deploy models to detect problematic outputs from an LLM
  • Deploy and manage a custom Meta Llama fine-tune on an AWS GPU instance
  • Build dashboards to run experiments comparing the therapeutic relationship with voice vs text based AI agents

We encourage women and individuals from diverse backgrounds to apply and join our team. We believe in creating an inclusive and supportive work environment where everyone can contribute their best.

Applications for this role will close 07/02/2025.

Requirements

  • >2 years of industryMachine Learning experience
  • Ability to work fromLondon (Spitalfields) office at least 1 day per week
  • Experienceproductionising LLM features
  • Strong Python ability
  • Strong knowledge of at least 1 web framework (e.g. we use FastAPI).
  • Experience with databases (SQL or NoSQL)
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker).
  • Proficiency with version control systems, preferably Git
  • Interest in the mental healthcare space

Benefits

  • An amazing office in central London (flexibility regarding working from the office and wfh)
  • 25 days PTO
  • Pension scheme
  • Enhanced parental leave packages
  • Equity share options
  • Support with purchasing work-related books and materials

We take employee wellbeing seriously at Limbic and in addition to the above we offer:

  • Quarterly life days (Enjoy 4 paid days off per year to use whenever you choose - one each quarter - to relax, recharge, or take care of personal matters)
  • Access to mental health support

Base Salary: £70K - £75K + Equity

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 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.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.