At a Glance
- Tasks: Create innovative AI solutions for real-world public sector challenges.
- Company: Join a pioneering unit within the UK government focused on transformative AI applications.
- Benefits: Competitive salary, generous leave, and personal growth opportunities in a mission-driven culture.
- Other info: Flexible hybrid working and extensive support for learning and development.
- Why this job: Make a significant impact while working with cutting-edge AI technologies and experts.
- Qualifications: Experience in developing AI products and strong proficiency in Python and ML frameworks.
The predicted salary is between 85000 - 145000 £ per year.
About the Incubator for AI (i. AI)
The Incubator for AI (i. AI) is a high‑agency technical unit within the UK government, focused on pioneering transformative AI applications for the public sector.
About the role
Applied AI Engineers of all experience levels are needed to build products that leverage state‑of‑the‑art methods to solve real‑world problems for the public sector.
Responsibilities
- Rapidly prototype AI solutions to test hypotheses and de‑risk new ideas, designing and developing products that use the latest models.
- Train, scaffold and adapt models in applied settings, implementing rigorous evaluation methodologies and defining metrics for real‑world performance (accuracy, robustness, latency, cost, fairness).
- Stay up to date with recent advances in AI, assess applicability to products, and iterate on models based on experimental results, user feedback and production observations.
- Translate ambiguous product and government problems into well‑defined AI tasks; work closely with Product Managers to define technical architectures and implement them.
- Select appropriate modelling approaches (classical ML, deep learning, foundation models, prompting, fine‑tuning) based on data, constraints and desired outcomes.
Qualifications
- Proven experience rapidly developing and shipping AI products or models in fast‑paced environments.
- Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings.
- Experience with AI infrastructure (model deployment, optimisation, data processing) and cloud platforms (AWS, Azure or GCP).
- Hands‑on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, Graph ML, recommendation systems or reinforcement learning.
- Familiarity with ML frameworks (Py Torch, Tensor Flow, etc.) and strong proficiency in Python and data structures and algorithms.
- Engineering excellence – writing high‑quality, maintainable code and an open‑source or research‑publishing track record.
- Master’s degree or Ph D in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience.
- Ability to work in agile, user‑centred environments with an entrepreneurial mindset and ability to navigate ambiguity.
Experience Levels
Candidates at all levels are considered.
Senior candidates should additionally demonstrate deep expertise at a frontier lab, technical ownership of production‑grade AI systems, mentoring experience, and the ability to identify high‑value opportunities and mitigate technical, ethical and safety risks.
Benefits
- Career‑defining projects with significant impact.
- Access to frontier models and ample compute.
- Extensive operational, product, strategy and design support.
- Collaboration with experts across national security, policy, AI research and adjacent sciences.
- Personal growth opportunities, ownership of important products early, and a supportive mission‑driven culture.
- Learning and development support: paid leave, annual stipends, conference funding.
- Contract: 24‑month fixed‑term with hybrid working and pay‑equivalent equipment stipends.
- Generous leave: 25 days plus one additional day per year of service, plus 39 weeks full‑pay parental leave.
- Pension: employer contributes 28.97% of base salary.
- Other benefits: discounts for cycling, dental insurance, donations and gym memberships.
- Salary
Annual salaries range from £85,000 to £145,000, consisting of a base salary plus a technical allowance. Salary level depends on role scope and experience.
Selection Process
Applicants must successfully complete UK Government SC clearance (sponsorable) and generally meet residency requirements.
The selection involves a short initial conversation, a technical take‑home test, and subsequent interviews with technical and senior team members.
Diversity and Inclusion
The Civil Service is committed to attracting, retaining and investing in talent wherever it is found. All candidates are encouraged to apply.
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Applied AI Engineer - Senior to Principal in Manchester employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - Senior to Principal in Manchester
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Doist who values hands-on experience over just theory.
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With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Doist to see what you bring to the table.
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We think you need these skills to ace Applied AI Engineer - Senior to Principal in Manchester
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Doist!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Applied AI Engineer - Senior to Principal at Doist! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Doist
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Doist uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
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✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Doist that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Doist, so it's relevant and sparks conversation during your interview.
