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Anson McCade

Principal ML Engineer

London
£160k – £190k/yr
Posted 1 day ago
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Principal Machine Learning Engineer

Salary: £160,000 – £190,000 + Comprehensive Benefits
Location: London (Hybrid – 2 Days Per Week)

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.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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
  • TensorFlow, PyTorch or Scikit-learn
  • Production ML Systems
  • MLOps
  • Docker
  • Kubernetes
  • AWS, Azure or GCP
  • Cloud Architecture
  • Software Engineering
  • CI/CD
  • Machine Learning Infrastructure
  • Distributed Systems

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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

  • £160,000 – £190,000 Base Salary
  • Annual Bonus
  • Private Medical Insurance
  • Enhanced Pension
  • Life Assurance
  • Flexible Benefits Package
  • Ongoing Learning & Development
  • 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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Skills

Machine Learning Engineering
Python
TensorFlow
PyTorch
Scikit-learn
MLOps
Docker
Kubernetes
AWS
Azure
GCP
Cloud Architecture
CI/CD
Distributed Systems
Software Engineering
Solution Design

Location

London, England, United Kingdom

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