At a Glance
- Tasks: Lead the design and delivery of cutting-edge machine learning solutions.
- Company: Market-leading AI consultancy with a focus on impactful projects.
- Benefits: Annual bonus, private medical insurance, enhanced pension, and flexible benefits.
- Other info: Hybrid working model with opportunities for mentorship and career growth.
- Why this job: Join a dynamic team shaping the future of AI in high-stakes environments.
- Qualifications: Extensive experience in machine learning engineering and strong software fundamentals.
The predicted salary is between 72000 - 88000 £ per year.
Candidates must be Sole British nationals as they will need to be eligible for DV Clearance
The Opportunity
A market-leading AI consultancy is looking to hire a
Principal Machine Learning Engineer to join its rapidly growing AI Engineering practice.
This is an opportunity to work on some of the most technically challenging AI programmes in the UK, delivering production-grade machine learning solutions for organisations across National Security, Government and highly regulated industries.
You'll combine deep technical expertise with architectural leadership, helping clients move machine learning from proof of concept into scalable, secure production environments while mentoring engineering teams and shaping engineering best practices.
The Role
As a Principal Machine Learning Engineer, you'll lead the design, architecture and delivery of enterprise-scale machine learning systems, working alongside Data Scientists, Software Engineers and client stakeholders to build AI solutions that solve real-world problems.
You'll remain hands-on while providing technical leadership across multiple projects, defining engineering standards and influencing the future direction of AI delivery within the organisation.
Key Responsibilities
- Lead the design and delivery of production-grade Machine Learning solutions.
- Architect scalable ML platforms, infrastructure and deployment pipelines.
- Build reusable frameworks and engineering accelerators to improve delivery quality and speed.
- Lead technical discovery, solution design and architecture for complex AI programmes.
- Work closely with Data Scientists and Software Engineers to operationalise machine learning models.
- Define best practices for ML Engineering, MLOps and software engineering.
- Act as a trusted technical advisor to senior client stakeholders.
- Mentor and develop Machine Learning Engineers across multiple delivery teams.
Skills & Experience
We're looking for individuals with extensive commercial experience across several of the following areas:
- Machine Learning Engineering
- Python
- Tensor Flow, Py Torch or Scikit-learn
- Production ML Systems
- MLOps
- Docker
- Software Engineering
- CI/CD
- Distributed Systems
- You'll have a proven track record of taking machine learning solutions from experimentation into production, designing scalable architectures and building enterprise-grade ML platforms.
- Experience leading technical teams, making architectural decisions and working directly with senior stakeholders is highly desirable.
- Strong software engineering fundamentals and experience building secure, scalable cloud-native applications are essential.
- What's on Offer
- Annual Bonus
- Private Medical Insurance
- Enhanced Pension
- Life Assurance
- Flexible Benefits Package
- Hybrid Working ( 2 days per week in London )
- Opportunity to work on some of the UK's most complex and impactful AI programmes
- This is an excellent opportunity for an experienced
Principal Machine Learning Engineer looking to work at the forefront of AI, leading the delivery of production-scale machine learning systems while helping shape the future of enterprise AI engineering.
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Principal ML Engineer employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
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We think this is how you could land Principal ML Engineer
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We think you need these skills to ace Principal ML Engineer
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!
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Craft a Tailored Cover Letter:For a full-time role at ANSON MCCADE, 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 ANSON MCCADE. 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 ANSON MCCADE
✨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!
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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 ANSON MCCADE!
✨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.
