At a Glance
- Tasks: Build cutting-edge AI systems and ensure their safety against adversarial threats.
- Company: RevAIsor Ltd, a pioneering tech firm focused on AI safety.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with strict compliance to public funding criteria.
- Why this job: Join a groundbreaking project shaping the future of AI autonomy in the UK.
- Qualifications: Strong background in AI/ML, NLP, and proficiency in Python.
The predicted salary is between 51750 - 63250 £ per year.
RevAIsor Ltd has recently secured Innovate UK funding for SENTINEL Phase 2, a groundbreaking R&D project dedicated to maturing a Sovereign UK capability for securing AI autonomy by design. We are building the foundational safety architecture that will harden autonomous systems against adversarial threats using deterministic evaluation and neuro-symbolic boundaries.
Location: Hybrid (Strictly UK-based)
Contract Type: Fixed-Term Contract (Fully UK PAYE Compliant)
Compensation: competitive
The Role
We are looking for two (2) highly skilled AI Engineers to join our technical core team. You will be responsible for building the neuro-symbolic engine and core safety pipelines that form the backbone of the SENTINEL architecture. This is a hands-on, highly technical role requiring deep expertise in AI development, natural language processing pipelines, localized vector processing, and system safety hardening.
Key Responsibilities
- Pipeline Development: Design, build, and optimize the NLP, neuro-symbolic engine, and localized vector processing pipelines.
- Safety Hardening: Develop and implement AI safety shields to ensure autonomous systems remain within strict, deterministic mathematical boundaries.
- Independent Research & Review: Conduct independent research into AI vulnerabilities and perform rigorous independent code reviews.
- Collaboration: Participate in weekly 1-hour technical synchronization calls and collaborate directly with the Security Engineering team.
- Milestone Execution: Deliver robust code and technical documentation in line with strict Innovate UK project milestones.
Key Requirements
- Strong background in AI/ML engineering, natural language processing, deep learning, and neural networks.
- Proficiency in languages such as Python and frameworks like PyTorch or TensorFlow.
- Experience with vector databases and localized processing architectures.
- An understanding of adversarial AI, model robustness, or AI safety mechanisms is highly desirable.
- Strong communication skills for independent reviews and cross-team collaboration.
Strict Grant Compliance & Terms of Employment
- UK Residency: You must be legally resident and working exclusively within the UK. International or offshore work is strictly prohibited.
- Timesheets: Compensation is paid via standard UK PAYE, strictly based on actual working hours and days reported on weekly timesheets (up to a maximum of 232 days). Unworked days (including holidays) are not funded by the grant.
- Mandatory Attendance: Attendance at pre-scheduled on-site project events and integration reviews is mandatory (pre-approved travel and subsistence expenses will be covered).
- IP & Benefits: All foreground intellectual property generated remains 100% retained by RevAIsor Ltd. Due to public funding rules, there are zero discretionary or performance-related bonuses attached to this role.
AI Engineer (NLP, Neuro-Symbolic & Core Safety) employer: RevAIsor LTD
RevAIsor LTD is an attractive employer due to its focus on cutting-edge AI projects and a collaborative work environment. Employees can expect competitive compensation and the chance to contribute to significant advancements in AI safety. The company's commitment to innovation provides ample opportunities for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (NLP, Neuro-Symbolic & Core Safety)
✨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 RevAIsor LTD who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at RevAIsor LTD!
✨Showcase Your Work Online
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 RevAIsor LTD to see what you bring to the table.
✨Leverage Temporary Job Boards
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We think you need these skills to ace AI Engineer (NLP, Neuro-Symbolic & Core Safety)
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 RevAIsor LTD!
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 AI Engineer (NLP, Neuro-Symbolic & Core Safety) at RevAIsor LTD! 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 RevAIsor LTD
✨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 RevAIsor LTD 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
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨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 RevAIsor LTD 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 RevAIsor LTD, so it's relevant and sparks conversation during your interview.
