Lead Machine Learning Engineer

Think IT Resources
London
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer

Director of Engineering

Principal Data Scientist - NLP

Lead IoT ML Engineer - AI Machine Learning Principal Data Scientist

Lead / Senior Software Engineer - ML/AI

Lead Innovation Engineer

My Client are looking for a lead machine learning engineer, someone who had experience leading a team working a lot with AI and machine learning. The job is very remote with once a month visit to the office in London, it is paying a great salary with a bonus and package on top.,



What's the job


  • Lead the implementation of data science projects and data science approaches to support commercial goals
  • Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working
  • Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes
  • Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results
  • Be a champion and role model for the application of data science across the group
  • Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making
  • Lead our efforts to develop the data science (and broader customer analytics) “brand” for both internal and external audiences



What you'll bring


  • Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products
  • Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP)
  • Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)
  • Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib)
  • Strong software development skills (Python is the preferred language)
  • Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow
  • Strong management and leadership skills – previous experience managing a team
  • Strong influencing, communication and stakeholder management skills

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.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.