Machine Learning Engineer

Fruition IT
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - Computer Vision

Machine Learning Engineer (NLP)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

£70-90k + equity + healthcare

London Hybrid


Backed by one of the best VCs for AI globally, this AI start up is is on a steep growth trajectory. Join some of the best minds in the industry, at a company founded by hugely successful and experienced researchers and engineers.


You'll work alongside the Head of ML and ML team, focused on designing and building AI driven features/ products. This role encompasses research and POCs, through to developing production level code for resilient and high quality features.


You will have a strong influence on the direction of the core product offering, and will be at the forefront of a developing technology (Gen AI, AI Agents, RAG).



Role:


  • Develop multi modal AI agents that can scale
  • Fine tuning LLMs
  • Build evaluation systems
  • End to end ML, research through to production
  • Produce production level code
  • Steer AI product offering



Requirements:


  • Experience with Generative AI, RAG or AI Agents
  • Proven coding ability, able to produce production level code
  • Understanding and knowledge of latest advancements in Generative AI, RAG, AI Agents
  • Understanding of core ML fundamentals and concepts
  • Strong problem solving ability
  • Strong grasp of mathematical concepts



Desirable:


  • Academic research (projects, publications)
  • Strong academic background (eg PhD), although not essential if you have the relevent commercial experience
  • Fintech experience (not essential, as there's already a wealth of industry experience in the team)



Logistics:


  • Flexible working (most do 2-3 days per week in office)
  • Central London office
  • £70-90k + equity
  • Wealth creation opportunity
  • Founding team with a very long list of credentials


Apply now for all the details!



We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

🍪 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.