At a Glance
- Tasks: Build and deploy impactful AI products for the justice system.
- Company: Join the innovative Justice AI Unit at the Ministry of Justice.
- Benefits: Competitive salary, flexible working, and a strong pension scheme.
- Other info: Dynamic team environment with opportunities for rapid career growth.
- Why this job: Make a real difference in justice using cutting-edge AI technology.
- Qualifications: Experience in AI software development and a passion for problem-solving.
The predicted salary is between 71381 - 85257 £ per year.
This is a Nationally based role.
Our justice system faces serious challenges, from rising demand and staff shortages to siloed systems and inconsistent access. AI presents an opportunity to address these problems at scale. But this opportunity must be seized with care.
The Justice AI Unit is a small, fast-moving and innovative team. We build and ship products quickly across the Ministry of Justice. By embedding AI that enhances, not replaces, human judgement, we aim to deliver better outcomes, faster services, and greater fairness for all.
As a Forward Deployed Engineer at the Justice AI Unit, you will build and deploy AI products that have real-world impact across courts, prisons, and probation services. You’ll work directly with frontline staff to understand their needs, co-develop solutions, and own the full delivery lifecycle, from problem discovery to product deployment and scale. This is a hands-on, high-agency role for engineers who want to work at pace, across the full AI and software stack, and in service of one of the most complex and vital systems in the country. Join us to transform justice through practical, responsible AI.
We value curiosity, pragmatism, and the ability to work in ambiguity. If you don’t meet all of the experience below, don’t worry- we’re looking for people who can learn quickly on the job and adapt to a rapidly evolving landscape.
Responsibilities:- Develop high-impact AI products, models and agents that will be widely used across the Ministry of Justice.
- Work directly in the field (e.g., courts, prisons, probation) to understand user needs, operational challenges and co-build with users.
- Own end-to-end delivery: from identifying the problem, building the product, deploying it, and scaling adoption.
- Experience building and deploying AI-native software in production environments.
- Experience owning all parts of the software and AI stack - frontend, backend, database, AI and ML.
- Experience building solutions like predictive models, LLM workflows, scheduling.
- Ability to work and thrive in complex organisational contexts.
- Up to date on the latest developments in AI.
- Experience with our stack- NextJS, FastAPI, Postgres.
- Experience with LLM observability and evaluation tools like Langfuse.
- Cloud and infrastructure experience - Terraform, Azure etc.
- Entrepreneurial or startup experience.
The successful candidate will be expected to work from London as the home base of the Justice AI Unit. Candidates not currently based in London will be required to either relocate or undertake regular travel to London, with attendance expected at least once per week, in line with business needs.
How to apply:The selection process for this vacancy will utilise Civil Service Success Profiles and will assess your Experience, Technical skills and Behaviours.
Applicants should provide a CV which demonstrates evidence of the essential criteria for this role. Following sift, candidates who meet the required standard will be invited to take part in a two-stage assessment process:
- Stage 1: Technical Assessment (Online) - Candidates will be asked to complete a technical assessment designed to evaluate their role-specific skills focussing on a realistic engineering scenario, allowing candidates to demonstrate their problem-solving approach and technical judgement. This will be followed by a 30-minute discussion, where we will explore your technical approach. Only candidates who meet the required standard at this stage will progress to the Behavioural Interview.
- Stage 2: Behavioural Interview (Face-to-Face) - Successful candidates from Stage 1 will be invited to attend a full interview. The following Civil Service behaviours will be assessed: Changing & Improving, Managing a Quality Service, Delivering at Pace, Working Together.
Further details will be provided to candidates invited to each stage.
Benefits:- Alongside your salary of 71,381, Ministry of Justice contributes 20,679 towards you being a member of the Civil Service Defined Benefit Pension scheme.
- Access to learning and development.
- A working environment that supports a range of flexible working options to enhance your work life balance.
- A working culture which encourages inclusion and diversity.
- A Civil Service pension with an employer contribution of 28.97%.
- Annual Leave.
- Public Holidays.
- Season Ticket Advance.
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action.
Successful candidates must undergo a criminal record check. People working with government assets must complete baseline personnel security standard checks.
This job is broadly open to UK nationals, nationals of the Republic of Ireland, nationals of Commonwealth countries who have the right to work in the UK, nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS).
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme for candidates with disabilities who meet the minimum selection criteria.
Forward Deployed Engineer III - Justice AI UnitRef: 16587) in Edinburgh employer: Government Recruitment Service
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Contact Details:
Government Recruitment Service Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer III - Justice AI UnitRef: 16587) in Edinburgh
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We think you need these skills to ace Forward Deployed Engineer III - Justice AI UnitRef: 16587) in Edinburgh
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 Government Recruitment Service.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Government Recruitment Service 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 Government Recruitment Service
✨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 Government Recruitment Service 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.