Tech Lead, Machine Learning in London

Tech Lead, Machine Learning in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
ConSol Partners

At a Glance

  • Tasks: Lead the design and development of cutting-edge machine learning systems.
  • Company: Join a heavily funded AI venture on a mission to revolutionise intelligent assistants.
  • Benefits: £180,000 base salary, meaningful equity, and flexible working environment.
  • Other info: Opportunity to work on groundbreaking AI challenges and grow with a high-impact startup.
  • Why this job: Shape the future of AI technology and make a lasting impact.
  • Qualifications: Strong Python skills and experience in deploying ML systems.

The predicted salary is between 63000 - 77000 £ per year.

Permanent | £180,000 Base Salary + Meaningful Equity

London/Remote

We're partnering with a heavily funded AI venture on a mission to build a next-generation intelligent assistant capable of helping users manage conversations, workflows, tasks, and real-world actions with minimal prompting. The company has committed significant investment to building a world-class organisation and is embarking on a major hiring programme, creating a rare opportunity for exceptional engineers to join at a stage where their impact will be both immediate and lasting.

As Technical Lead, Machine Learning, you won't be inheriting legacy systems or maintaining someone else's architecture. You'll help define the foundations of the platform itself—shaping how the product reasons, remembers, plans, and executes tasks on behalf of users. This is a role for someone who wants to build category-defining technology rather than incremental improvements.

Key Responsibilities:

  • Define the machine learning architecture that powers the entire product.
  • Solve some of the hardest challenges in AI, including memory, reasoning, reliability, and real-world task execution.
  • Lead the design, development, and operation of the company's core ML systems, including:
    • Machine Learning Infrastructure
    • End-to-end training pipelines
    • Monitoring, observability, and performance systems
    • Deployment and scaling infrastructure
  • Large Language Models
  • Fine-tuning foundation models using:
  • Building systems that move beyond simple chat applications into real-world task execution
  • Production AI Systems
  • Cost and performance optimisation
  • AI safety and evaluation frameworks
  • Drive architectural decisions across the ML platform

Qualifications:

  • Strong Python software engineering skills
  • Experience deploying machine learning systems into production
  • Deep knowledge of LLMs and Generative AI
  • Experience building inference platforms and ML infrastructure
  • Strong understanding of scalability, reliability, and performance optimisation
  • Enjoys building from zero to one
  • Wants to work on problems that genuinely push the boundaries of applied AI

Permanent Position

Flexible working environment

Opportunity to help build a globally impactful AI company

If you're excited by the idea of building the intelligence layer behind a next-generation AI platform—and want the opportunity to help shape both the technology and the future of the company—we'd love to speak with you.

Tech Lead, Machine Learning in London employer: ConSol Partners

Join a forward-thinking company that values innovation and collaboration, offering a fully remote working environment for the Technical Author role. With a strong focus on employee growth, you will have the chance to work on high-profile defence programmes while enjoying the flexibility of remote work and occasional travel. Our supportive culture encourages continuous learning and development, making it an excellent place for those looking to make a meaningful impact in the engineering field.

ConSol Partners

Contact Details:

ConSol Partners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Tech Lead, Machine Learning in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ConSol Partners or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ConSol Partners.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ConSol Partners.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ConSol Partners that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Tech Lead, Machine Learning in London

Machine Learning Architecture
End-to-End Training Pipelines
Monitoring and Observability Systems
Deployment and Scaling Infrastructure
Large Language Models (LLMs)
Fine-Tuning Foundation Models
Production AI Systems

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ConSol Partners.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ConSol Partners and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at ConSol Partners

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ConSol Partners uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.