At a Glance
- Tasks: Create innovative AI solutions that enhance human-machine interaction and understanding.
- Company: Join a leading consultancy at the forefront of human-centric AI technology.
- Benefits: Enjoy a high-autonomy role with tailored career development and mentoring.
- Other info: Collaborate on exciting projects with opportunities for growth and leadership.
- Why this job: Shape the future of intuitive technologies and make a real impact in diverse industries.
- Qualifications: Degree or PhD in relevant fields, strong Python skills, and experience in human subject research.
The predicted salary is between 60000 - 80000 £ per year.
Cambridge Consultants’ Human-Machine Understanding (HMU) group is looking for an engineer to work at the intersection of AI, cognitive science, and human-machine interaction.
This is an exciting opportunity to take an active role in the group’s mission to build the next generation of intuitive human interactive technologies.
HMU is building the technical framework of Intelligent Interfaces for modern digital and physical AI: a dedicated layer of intelligence that enables machines to perceive, reason about, and adapt to human behaviour and intent in real time.
We apply this approach to diverse use cases, from robotics and automation in industrial and consumer settings, to agentic coaches and AI assistants in sports and healthcare.
This is an opportunity to take ownership of technical ideas and shape the trajectory of an emerging capability.
What we offer
This is a high‑autonomy role within the Human‑Machine Understanding team in CC’s Intelligent Services business.
As part of an emerging capability, you will have a mandate to explore and push the boundaries of the state‑of‑the‑art in human‑interactive AI.
You will be involved in client projects as well as internal investment research projects to shape the future of our capability.
You will be responsible for the technical realization of our HMU framework, encompassing multi‑modal human sensing and fusion, human‑centric contextual modelling, and agentic workflows that can leverage this context to support human users proactively.
We are a nurturing team.
You will be supported to develop your career in the direction you want, with mentoring and training provided.
Opportunities for development and progression are varied and will be tailored to the interests, experience, and skills of the successful candidate, with scope to develop increased technical, commercial, and/or programme expertise and leadership.
What you will do
- Deliver on diverse client projects, from designing and running human subjects’ studies for science‑backed HMI/HRI design, to technical development of novel interfaces and interaction paradigms.
- Conduct technical research focused on understanding the art of the possible in human‑machine understanding and translating it into robust industrial solutions through technical prototypes.
- Proactively identify opportunities to apply HMU across CC’s diverse markets, building the demos and prototypes that showcase our leadership in this space.
- Work with colleagues across Cambridge Consultants to translate deep technical insights into compelling narratives and functional systems for our clients, and academic audiences.
Requirements
We are looking for a candidate who thrives on technical ambiguity and possesses the drive to build independently across disciplines:
- An excellent degree or Ph D in Computer Science, Robotics, Cognitive Science, Psychology or a related field with emphasis on computational modelling or AI.
- High proficiency in Python and experience with AI/ML frameworks (e. g. Py Torch). You should be comfortable building and debugging complex, real‑time systems.
- Prior experience of human subject research; from experiment protocol and methodology development, to conducting experiments, analysis of data and synthesis of insights.
Experience with ethics committees is highly valued.
- The ability to work independently, driving your own curiosity to explore new topics and proactively building prototypes that demonstrate your ideas.
In addition, any of the following is highly desired
- Proven experience technical realization of HRI/HCI systems, such as cognitive architectures, multi‑modal perception pipelines, or affective computing.
- Experience with agentic AI workflows, knowledge graphs, and complex state‑machine architectures.
- Track record of publications in relevant conferences (e. g. ICRA, IROS, HRI, Neur IPS, ICML), and/or academic journals (e. g. IEEE Transactions).
- Development of software for distributed real‑time physical systems or robotics (e. g., ROS2).
We are recruiting multiple people under this vacancy.
Some projects at Cambridge Consultants are subject to security restrictions.
One of these roles requires you to obtain a Security Check level security clearance (https://www. gov. uk/guidance/united-kingdom-security-vetting-applicant).
You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government National Security Vetting criteria.
- Examples of projects undertaken by the team
- Building contextual understanding into Physical AI systems for adaptive human‑robot interaction.
- Developing human‑centric AI to assist with curating personalised music playlists for people living with dementia through behavioural monitoring.
- Mapping the current space and future potential of human‑machine understanding with Capgemini.
- #J-18808-Ljbffr
Human-Centric AI Engineer in Cambridge employer: Cambridge Consultants
Cambridge Consultants is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cambridge. Employees benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth within a diverse team dedicated to advancing technology in Defence and Security sectors. With a commitment to employee development and a focus on meaningful projects, this role provides a unique chance to make a significant impact in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Human-Centric AI Engineer in Cambridge
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We think you need these skills to ace Human-Centric AI Engineer in Cambridge
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 Cambridge Consultants.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cambridge Consultants 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 Cambridge Consultants
✨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 Cambridge Consultants 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.
