Lead Engineer - MLOps

Monolithai
London
6 days ago
Create job alert

Do you want to join a team working at the cutting edgeof engineering sustainability? Here at Monolith, we’re on a missionto empower engineers to use AI to solve the most intractablephysics problems like developing next-gen EV batteries that chargefaster and last longer. With strong product-market fit, we’vedoubled in size over the last four years, are growing globally, andwe have ambitious plans to expand. It’s an exciting time. Tocontinue in our growth, we are recruiting a Lead Engineer based outof our London Office. What you’ll be doing: As a Lead Engineer, youwill play a crucial role in leading our core tech team. In theshort term this will involve driving the re-platforming efforts ofour core data & AI platform powering our SaaS product. Beyondthat, you'll spearhead backend & data engineering, mentor teammembers, and optimize software engineer practices for long-termsuccess. Our Tech stack: AWS and Azure, including Athena, Synapse,Spark, Kubernetes. Temporal, Python, Redis, Postgres, React andDocker. Key Responsibilities: - We’d expect this role to be splitbetween 60% on the Tech side with the remaining 40% devoted tomanagerial responsibilities. - Mid-low level tech design: Mid andlow-level design of our technical stack in coordination withbroader architecture. - Tech leadership: Shape and promote thesoftware engineering culture and practices by applyingstate-of-the-art best practices that help foster a collaborativeenvironment and ensure continuous learning and developmentopportunities for the team. - Line manage the software engineeringteam, including recruitment and retention strategies. Remainhands-on by actively participating in code reviews and othertechnical processes to stay informed on lower-level work. RequiredSkills and Attributes: - 7 years or more of coding experience, withat least 3 years primarily focused on Python. - Knowledge of MLOpsprinciples and practices, especially in implementing them withinproduction settings. - Worked on cloud infrastructure (AWS, Azure,GCP) - Worked on data-intensive products which are heavy on eithervolume (big data) or scale (high load) - We're particularly excitedabout candidates who bring start up experience to the table, as italigns closely with our dynamic, innovative culture. Nice to haves:- 2 or more years of experience managing a tech team previously -Experience working on AI-based products. - Distributed computingexperience (Spark, MPI, etc) - Experience with full stack -Experience orchestrating workflows, particularly within distributedsystem environments. Why Monolith? Our culture is passionate,engaging and collaborative. We are genuine, we bring our trueselves to work and celebrate those little quirks that make usdifferent. We have a culture of learning, we encourage new ideas,out of the box thinkers and risk takers. We’re all human andsometimes we make mistakes, but we brush ourselves off and tryagain. Our culture encourages freedom, flexibility and creativity.At Monolith our values are core to how we do business. They’re notjust words on a wall, we live them every day. Our values areembedded in our internal processes so that we’re always remindedwhat’s important to us and we continue to grow as individuals andas a company. Our values are: - Bring yourself to work - Always becurious and open - Think like an engineer - Work smart, not hard -Be in this together Our benefits & perksfor UK employees: - 30days paid annual leave + bank holidays - Pension with NEST -Vitality health insurance - Wellness allowance through Heka - A dayoff to volunteer per year - Regular socials A few things to note: -Monolith is proud to be an equal opportunity employer and we valuediversity and inclusion. We welcome people of differentnationalities, backgrounds, experiences, abilities andperspectives. - We don’t have an end date to apply for this role,but we will prioritise early applicants, so if you’re interestedthen please apply soon. - Only applicants who have the right towork in the UK will be considered. - Monolith AI is proud to be anequal opportunity employer and we value diversity and inclusion. Wewelcome people of different nationalities, backgrounds,experiences, abilities, and perspectives. - If you don’t quitematch everything above but you feel you can succeed in this rolethen we encourage your application and look forward to hearing fromyou. #J-18808-Ljbffr

Related Jobs

View all jobs

Lead Engineer - MLOps

Senior Data Scientist - Operational Research & Optimisation

MLOps & AI Engineer Lead

Head of Engineering

Senior Python Developer

Lead / Senior Software Engineer - ML/AI

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.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.