At a Glance
- Tasks: Lead innovative machine learning projects to support national security partners.
- Company: Join the Alan Turing Institute, a leader in AI and data science.
- Benefits: Enjoy a competitive salary, flexible working, and family-friendly policies.
- Other info: Be part of a diverse team with excellent career development opportunities.
- Why this job: Make a real impact on national security with cutting-edge AI solutions.
- Qualifications: Experienced in machine learning, programming, and cloud technologies.
The predicted salary is between 57000 - 62000 £ per year.
This position is working within the Turing Integrated Research Engineering (TIRE) team to support the Turing's national security partners by developing and deploying advanced machine learning, AI and data-driven capabilities. You'll work across a highly collaborative, cross-disciplinary team, delivering innovative technical solutions that bridge cutting-edge research and real-world impact. The role involves leading technical projects, developing new partner-focused capabilities, authoring research proposals and helping to shape the future direction of TIRE's work with national security stakeholders. You'll also play a key role in sharing technical knowledge, representing the team internally and externally, and supporting the development of colleagues through mentoring and leadership opportunities.
HOW YOU WILL MAKE AN IMPACT
- Understand the problems of the Turing’s National Security partners and develop appropriate approaches to solving these problems.
- Take ownership of a particular domain challenge area or methodology for the group.
- Perform experiments and develop capabilities, which might include: training and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building and deploying microservices, data processing/engineering systems and platforms, user interfaces and/or visualisations.
- Work at pace, using industry standard tooling for testing, version control and collaboration to create software artefacts that can be shared with Turing’s partners.
- Present, disseminate and explain our work including: Documenting capabilities, processes, and systems for effective and efficient reuse across multiple domains.
- Provide technical leadership for research strands, ensuring successful outcomes aligned with the overall project goals.
- Line-manage other staff within the group, supporting their career development aspirations.
ABOUT YOU
We're looking for an experienced ML Engineer with a strong background in developing production-ready AI and machine learning solutions. You'll bring expertise in modern programming languages, software engineering, cloud technologies and scalable deployment approaches, alongside experience applying advanced analytical and ML techniques to real-world challenges. You'll enjoy solving complex problems and be comfortable engaging with both technical and non-technical stakeholders. This is a unique opportunity to work at the forefront of national security, developing innovative AI capabilities that help address some of the UK's most complex challenges. Eligibility for DV security clearance is essential, with current or recent DV clearance highly desirable.
Terms and Conditions
This post is offered on a fixed term basis, at an annual salary of £57,000-£62,000 plus excellent benefits, including flexible working and family friendly policies.
Equality Diversity and Inclusion
We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply – we recognise that great candidates may bring strengths beyond the criteria listed.
Senior Machine Learning Engineer - National Security (TIRE) employer: The Alan Turing Institute
The Alan Turing Institute is an exceptional employer, offering a unique opportunity to lead cutting-edge research in AI for Physical Systems within a collaborative and multidisciplinary environment. With a strong commitment to employee growth, flexible working arrangements, and a focus on diversity and inclusion, the Institute fosters a culture where innovative ideas thrive and impactful projects are realised. Join us in shaping the future of national research while enjoying a supportive workplace that values your contributions and aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - National Security (TIRE)
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Machine Learning Engineer - National Security (TIRE)
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 The Alan Turing Institute.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Alan Turing Institute 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 The Alan Turing Institute
✨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 The Alan Turing Institute 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.
