At a Glance
- Tasks: Lead machine learning projects from experimentation to production using Python and LLMs.
- Company: Innovative tech company focused on AI-powered applications for seamless communication.
- Benefits: Competitive salary of £200k-£300k, remote work, and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities to mentor and guide fellow engineers.
- Why this job: Make a real impact by building scalable AI systems that enhance everyday collaboration.
- Qualifications: Strong Python skills, experience with LLMs, and leadership in machine learning projects.
Our client is an innovative technology company building proactive, AI-powered applications for people who are not used to complex prompting. Their aim is to bring intelligence to everyday communication, coordination and collaboration, with minimal to no prompting and are looking for a Lead Machine Learning Engineer to support that.
As Lead Machine Learning Engineer, you will take ownership of machine learning projects from experimentation through to production, building reliable, scalable systems using Python and Large Language Models (LLMs).
Requirements:
- Strong Python programming skills and experience building production-ready software
- Practical experience working with LLMs and modern machine learning techniques
- Solid understanding of machine learning fundamentals, deep learning and neural network architectures
- Ability to write clean, maintainable code and troubleshoot complex technical issues
- Understanding of model reliability, performance optimisation and deployment
- Experience providing technical leadership to ML engineers, including mentoring and guiding them through technical design
- Ability to make architecture decisions and design ML system architecture
- Experience leading code reviews and setting engineering standards across a team
- Ability to work with research and application engineering teams to improve model performance in production
- A proactive approach to problem-solving and the ability to thrive in a fast-paced environment
The company is offering a salary between 200k-300k a year. If this role is of interest please apply.
Lead Machine Learning Engineer in London employer: Hexwired Recruitment Limited
Join a forward-thinking Electronics manufacturer in Histon, Cambridgeshire, where innovation meets opportunity. As an Embedded Linux Engineer, you'll be part of a dynamic team working on exciting Greenfield projects, with the chance to see your ideas come to life from design to manufacture. The company offers a competitive salary, excellent benefits, and a hybrid work environment that fosters professional growth and collaboration.
Contact Details:
Hexwired Recruitment Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer 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 Hexwired Recruitment Limited 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
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✨Tap into Online Developer Communities
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We think you need these skills to ace Lead Machine Learning Engineer in London
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 Hexwired Recruitment Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hexwired Recruitment Limited 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 Hexwired Recruitment Limited
✨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 Hexwired Recruitment Limited 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.
