NSL- ML Engineer in Whitehall

NSL- ML Engineer in Whitehall

Whitehall Full-Time 72000 - 88000 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and develop machine learning models for national security projects.
  • Company: Join a leading digital and intelligence arm of a major defence company.
  • Benefits: Competitive salary, impactful work, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects across defence and government sectors.
  • Why this job: Make a real-world impact through cutting-edge AI and machine learning solutions.
  • Qualifications: Experience in machine learning and strong collaboration skills required.

The predicted salary is between 72000 - 88000 £ per year.

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. Our client is the digital and intelligence arm of a major defence company. Location(s): UK, Europe & Africa: UK: London. Our client is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.

Are you passionate about cutting-edge AI and machine learning in digital services, and want to deliver positive real-world value to the UK? We are looking for a ML Engineer to join our team and help solve a variety of interesting problems in the national security space. We work with a wide range of government customers, across defence, space, and government. In our national security AI team, we undertake a variety of projects covering exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets.

As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with production readiness, prototyping and validating ML approaches while ensuring successful experiments integrate seamlessly into operational systems.

This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation who makes a huge impact to the security of the UK.

Core Duties:

  • Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications.
  • Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements.
  • Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring.
  • Build and optimise ML pipelines using AWS services and experiment tracking tools.
  • Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring.

NSL- ML Engineer in Whitehall employer: Hackajob

Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.

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Contact Details:

Hackajob Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land NSL- ML Engineer in Whitehall

✨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 Hackajob 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 Hackajob.

✨Tap into Online Developer Communities

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✨Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace NSL- ML Engineer in Whitehall

Machine Learning
AI Methods
MLOps
LLMOps
AWS Services
Data Analysis
Experiment Design

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 Hackajob.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hackajob 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 Hackajob

✨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 Hackajob 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.