At a Glance
- Tasks: Join a team to innovate software delivery using AI and machine learning.
- Company: Dynamic tech company focused on cutting-edge software solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship and career advancement opportunities.
- Why this job: Be at the forefront of AI-driven development and make a real impact.
- Qualifications: Experience in ML engineering and strong software development skills required.
The predicted salary is between 70000 - 90000 £ per year.
Do you want to help define the future of delivering the company software to customers? Join the Insight & Release Technologies team to work on new technologies that will be used to deliver the company platforms to millions of customers. Our team has a passion for innovation and engineering and is looking for individuals with a genuine enthusiasm for collaborating with others to solve sophisticated problems with a focus on the user experience.
You will join a team working on the next generation of software release workflows that enable the software development lifecycle for an ever-growing number of platforms and teams contributing to software products. Our applications integrate with developers’ workflows to enable the software development lifecycle from integrating source code all the way to releasing the company platforms and assets to customers.
In this role, you will work on bringing AI to our developer productivity tools. You will be at the forefront of building intelligent, agentic systems that help the company engineers write better, higher-quality code. You will collaborate closely with data, platform, and infrastructure teams to identify high-impact opportunities where ML can meaningfully improve developer workflows.
- Design and build machine learning pipelines.
- Evaluate, integrate, and optimize ML models and agentic workflows.
- Develop intelligent systems that reason over code coverage data to surface meaningful insights, prioritize under-tested areas, and recommend targeted test strategies.
- Build and improve semantic code search capabilities that allow engineers to find relevant code, patterns, and examples across large-scale internal codebases using natural language and embedding‑based retrieval.
- Apply ML techniques to advance static analysis tooling, including smarter bug detection, vulnerability identification, and code smell classification, beyond what traditional rule‑based approaches can achieve.
- Partner with platform and product teams to deeply understand engineer pain points and translate them into practical, high‑impact ML solutions.
- Lead the design of generative AI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
- Drive technical direction, facilitate alignment across organizations, and mentor engineers across the team.
Preferred Qualifications
- Experience with GenAI techniques or GenAI‑related concepts.
- Bachelor's degree in Computer Science, Machine Learning, or equivalent practical experience.
Minimum Qualifications
- Experience in ML engineering and software development, including experience in system design, architecture, and shipping scalable software products.
- Strong software engineering fundamentals (APIs, system design, distributed systems, frameworks architecture).
- Experience leading technical project strategy and optimizing ML infrastructure.
Senior Machine Learning Engineer, Agentic Workflows - Software Delivery in London employer: United States Digital Space LLC
Join a forward-thinking company that prioritises innovation and collaboration, where as a Senior Machine Learning Engineer, you will play a pivotal role in shaping the future of software delivery. Our inclusive work culture fosters creativity and growth, offering ample opportunities for professional development while working alongside passionate teams dedicated to enhancing user experiences through cutting-edge technology. Located in a vibrant area, we provide a dynamic environment that encourages continuous learning and the chance to make a significant impact on millions of customers worldwide.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer, Agentic Workflows - Software Delivery in London
✨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 United States Digital Space LLC 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 United States Digital Space LLC.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like United States Digital Space LLC.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like United States Digital Space LLC that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Machine Learning Engineer, Agentic Workflows - Software Delivery in London
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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
