At a Glance
- Tasks: Build and deploy cutting-edge ML systems while leading innovative projects.
- Company: Dynamic AI consultancy transforming customer experiences for top global brands.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Join a collaborative team with exciting career advancement opportunities.
- Why this job: Shape the future of applied AI and make a real-world impact.
- Qualifications: Expertise in Python, ML deployment, and cloud platforms required.
The predicted salary is between 80000 - 100000 £ per year.
Our client partners with some of the world’s most recognisable brands to deliver innovative, data-driven solutions that transform customer experience, strategy, and performance. From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market.
If you’re looking for an opportunity to shape the future of applied AI across exciting industry sectors, this is your chance.
ROLES:- Senior ML Engineers (Up to £110K)
- Build & deploy production-grade ML systems, tools, and infrastructure at scale
- Design scalable, reusable solutions and lead technical architecture & delivery standards
- Partner with engineers, data scientists, and stakeholders to solve key problems and translate ML into real-world impact
- Lead Machine Learning Engineers (Up to £130K)
- Set technical direction, guide priorities, and make key architectural decisions on complex ML projects
- Design & deliver scalable ML systems, owning roadmaps and execution across ambiguous, high-risk workstreams
- Build and elevate teams — hiring, mentoring, and driving shared engineering standards
- Act as a trusted advisor to stakeholders, shaping strategy and adopting new technologies to stay ahead
- Go-to technical specialist with deep expertise and broad problem-solving ability
- Strong Python background with hands-on ML deployment (TensorFlow, PyTorch, Scikit-learn)
- Cloud expert (AWS/Azure/GCP) with experience building and leading full-stack solutions
- Skilled in containerisation and orchestration (Docker, Kubernetes)
- Proven leader — coaching teams, owning delivery, and partnering effectively with stakeholders
Apply now and become a key player driving machine learning innovation.
Senior Machine Learning Engineer in Slough employer: Loop Recruitment
Loop Recruitment is an exceptional employer, offering a dynamic hybrid work environment that fosters innovation and collaboration. With a strong commitment to employee growth, you will have the opportunity to mentor junior engineers while working on high-scale platforms for the UK's leading financial services. Join us in London, where our inclusive work culture and focus on technical excellence make every day rewarding and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Slough
✨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 Loop 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 Loop 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 Loop 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 Loop 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 Senior Machine Learning Engineer in Slough
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 Loop 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 Loop 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 Loop 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 Loop 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.
