At a Glance
- Tasks: Lead and build innovative machine learning systems that transform industries.
- Company: Dynamic AI consultancy partnering with top global brands.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team with exciting projects and career advancement.
- 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 110000 - 130000 € 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
What You’ll Bring
- 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 London employer: Loop Recruitment
As a Senior Machine Learning Engineer at our AI consultancy in Central London, you'll join a dynamic team that thrives on innovation and collaboration. We offer a hybrid work model, competitive salaries, and opportunities for professional growth, all while working with leading brands to deliver transformative data-driven solutions. Our supportive work culture encourages technical leadership and fosters an environment where your contributions can make a real impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TensorFlow, or Kubernetes. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and be ready to discuss your past projects in detail. We recommend using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning, Python, and cloud platforms. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills:Don’t forget to mention your experience with tools like TensorFlow, PyTorch, and Docker. We’re looking for someone who can hit the ground running, so highlight any hands-on projects or leadership roles you've had in these areas.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Loop Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning lifecycle, MLOps, and the specific frameworks mentioned like TensorFlow and PyTorch. Brush up on your Python skills and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Leadership Skills
As a Senior or Lead Machine Learning Engineer, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've guided technical direction, mentored others, and made key architectural decisions in past roles.
✨Communicate Effectively with Stakeholders
Since stakeholder communication is crucial, practice explaining complex ML concepts in simple terms. Be ready to discuss how you've partnered with non-technical teams to translate machine learning into actionable business strategies.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in ambiguous situations. Think of past projects where you faced challenges and how you navigated them, especially in high-risk workstreams. This will show your capability to handle pressure and deliver results.
