At a Glance
- Tasks: Lead and innovate in machine learning projects, shaping the future of AI.
- Company: Dynamic AI consultancy working with top global brands.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Join a collaborative team with a focus on innovation and leadership.
- Why this job: Make a real impact in applied AI across exciting industries.
- Qualifications: Expertise in Python, ML deployment, and cloud platforms required.
The predicted salary is between 80000 - 100000 £ per year.
Central London (Hybrid - up to 2 days in office) £110,000-£150,000 + Benefits
Skills/Tech:
- Machine Learning Lifecycle & MLOps
- Python & Software Engineering Best Practices
- Cloud Platforms (AWS, Azure, GCP)
- Architecture & Security
- Containers & Orchestration (Docker, Kubernetes)
- ML/Statistical Methods
- Deep Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)
- Technical Leadership
- Stakeholder Communication
- Project Ownership & Delivery
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 £130K)
- 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 £150K)
- 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!!!
Lead Machine Learning Engineer in Slough employer: Loop Recruitment
As a Lead Machine Learning Engineer at our AI consultancy in Central London, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, allowing you to shape the future of applied AI while working with some of the world's most recognisable brands. Join us to be part of a forward-thinking team that values your expertise and encourages you to push the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer in Slough
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Loop Recruitment.
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We think you need these skills to ace Lead Machine Learning Engineer in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Loop Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Loop Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Loop Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Loop Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
