At a Glance
- Tasks: Lead the development of cutting-edge machine learning solutions and optimise AI models.
- Company: Exciting AI software company focused on solving real-world problems.
- Benefits: Competitive salary up to £200,000, flexible remote work, and career growth opportunities.
- Other info: Join a dynamic team and shape the future of AI technology.
- Why this job: Make a real impact in AI while working with innovative technologies and talented teams.
- Qualifications: Proven experience in machine learning systems and strong software engineering skills.
The predicted salary is between 100000 - 200000 £ per year.
Full Time Remote London, UK (Remote)Posted 1 day ago100,000 - 200,000 GBP / Year Staff Machine Learning Engineer | Remote | Salary 100,000-200,000 (flexible)Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems.
They’re looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems.
The Role This is a senior hands-on leadership position where you’ll own the execution of the company’s machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions.
Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment.
Fine-tune and optimise large language models using modern techniques such as Lo RA, QLo RA, supervised fine-tuning, preference optimisation and model distillation.
Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency.
Build and maintain high-quality data pipelines for both synthetic and real-world datasets.
Develop robust evaluation frameworks covering model quality, robustness, safety and performance.
Optimise GPU utilisation, memory usage and inference performance for production deployments.
Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products.
Lead technical delivery, mentor engineers and help shape engineering best practices.
Balance research ambitions with practical engineering trade-offs to deliver value quickly.
Technology Python Py Torch and/or JAXLarge-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production.
Strong understanding of modern foundation models and large language models.
Experience building scalable training and inference infrastructure.
Excellent software engineering skills with a focus on maintainable, production-quality code.
Comfortable leading technical delivery while remaining hands-on.
Strong communication skills and the ability to collaborate across research, engineering and product teams.
If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000.
To be considered for this role apply to this remote Staff Machine Learning Engineer job.
For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
Tagged as: Machine Learning, Python, Software
Staff Machine Learning Engineer in London employer: Hexwired Recruitment
As a Senior FPGA Engineer, you will thrive in a dynamic and innovative environment that values creativity and technical expertise. Our company offers competitive salaries, comprehensive benefits, and a strong commitment to employee development, ensuring you have the resources and opportunities to grow your career. Located in a vibrant tech hub, we foster a collaborative work culture that encourages teamwork and the sharing of ideas, making it an exciting place to contribute to cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Staff 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 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 Hexwired Recruitment.
✨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 Hexwired Recruitment.
✨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 Hexwired Recruitment 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 Staff 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.
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 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
✨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 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.
