cambridge residency programme: ai researcher in interactive generative ai systems

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cambridge residency programme: ai researcher in interactive generative ai systems Jobs in Cambridge

senior software engineer, core experiences - cambridge, united kingdom Jobs in Cambridge

senior software engineer, windows/desktop applications - cambridge, united kingdom Jobs in Cambridge

software engineer - java - cambridge Jobs in Cambridge

software engineer - java - cambridge

software engineer, data infrastructure & acquisition - cambridge, united kingdom Jobs in Cambridge

cambridge residency programme ai researcher

Microsoft

<div><b>Overview</b><p><br>
For our Microsoft Research Cambridge location, we are seeking highly motivated candidates to work on multimodal generative AI systems for dynamic and interactive environments (e.g. gaming and creative media), as well as real-world workflows. Our work focuses on developing systems that model and adapt to evolving environments, capturing how user actions and context change over time to support continuous processes such as creation and collaboration.</p><p>
Successful applicants will work alongside prominent researchers, engineers, and experts across machine learning, HCI and design; and drive deep research insights to support the development of novel AI systems, leveraging our unique datasets and multi-node GPU infrastructure. This work is grounded in close interdisciplinary collaboration, bringing together diverse perspectives to advance ambitious research goals.</p><p>
Candidates may come from either a Machine Learning modelling-focused background (e.g. multimodal generative modelling, world models, sequential prediction) or a Machine Learning systems-focused background (e.g. agentic workflows, orchestration, tool-using systems, training and evaluation pipelines) and should be excited about connecting these perspectives.</p><p>
This is an exceptional opportunity for a recent graduate or an early career researcher to join a collaborative and interdisciplinary team and generate high impact in the form of product transfers and publications. We have an ambitious agenda, and we are passionate about learning and solving problems together. Working with the world's best researchers and research engineers at Microsoft Research, this role gives you the opportunity to contribute to open research challenges in generative AI for interactive environments whilst broadening your area of expertise and continuing to grow into an established research leader.<br>
<br>
When submitting your application, please include a list of publications in your CV. You may also include links to examples of your published work.</p><p></p><ul><li><b><br>
Location: Cambridge, UK</b></li><li><b>
Contract Length : 2 Years</b></li></ul><br>
<b>
Responsibilities</b><br>
<ul><li>
 As a part of the team, you will be working with world-class researchers, engineers and design experts, to create novel generative AI models and capabilities that support creative processes. .
</li><li>Collaborate to implement and evaluate new approaches, both conceptual and practical, within existing or new emerging cross-company collaborations.
</li><li>Contribute to the team&rsquo;s goals by generating novel ideas, implementing prototypes, running experiments, utilizing multi-node GPU infrastructure, and rigorously evaluating all ideas with an open mindset.</li><li>
Design efficient experimentation workflows to accelerate research iteration across the team.</li><li>
Share knowledge and learn from others, participating in design decisions, presenting your ideas, doing pair programming, reviewing code, etc.
</li><li>Help to continuously improve our ways of working and the quality of our work, giving constructive feedback, understanding other points of view, suggesting new processes, etc.
</li><li>Distill insights into effective communications, such as research papers and presentations, or other forms of communications (for example blog posts) to reach technical and general audiences.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required/Minimum Qualifications:</b></p><ul><li>
Master&rsquo;s or PhD degree in Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing, or a related field, OR equivalent experience.</li><li>
Research experience in deep learning, including understanding state-of-the-art model architectures, data pipelines, and methods of evaluation.
</li><li>Research experience in at least one of the following or related areas: Generative models (video and world models, diffusion, autoregressive models, controllability), multi-modal modelling, training and fine-tuning large multimodal models or AI systems for multi-step interaction, such as agentic workflows, orchestration, tool-using systems, memory, or adaptive workflows</li><li>
Hands-on knowledge of deep-learning frameworks, with strong software engineering practices and a commitment to writing clean, maintainable and well-tested code.</li><li>
Experience publishing academic papers and/or demonstrated impact through ML research tooling or open-source contributions.</li></ul><p></p><p><b><br>
Preferred/Additional Qualifications:</b></p><ul><li>
Experience scaling deep learning workloads to maximise responsible utilization of multi-node GPU clusters.</li><li>
Experience designing or implementing AI workflows, such as automated training, evaluation, or experimentation pipelines</li><li>
Familiarity with game engines or creative AI tooling and/or experience applying AI in interactive settings</li></ul><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Cambridge Residency Programme: AI Researcher in Interactive Generative AI systems

AVEVA

<div><p><b>AVEVA is creating software trusted by over 90% of leading industrial companies.</b></p><p></p><div><p><b>
Job Title:</b> User Researcher &amp; Research Ops Coordinator</p></div><div><div><p><b>
Location:</b> Cambridge, United Kingdom (Hybrid)</p></div><div><p><b>
Employment Type:</b> full-time (contract for 12 months)</p></div><p></p><div><p><b><br>
The job</b></p></div><div><p>
We are looking for an enthusiastic and dynamic user researcher and research ops coordinator to join the user research &amp; experience team at AVEVA. You will join a team that researches user experiences across the whole portfolio of industrial software products in different industries and markets. The role focuses on generating robust, defensible user insight to inform strategic, tactical, and operational decisions across multiple teams, systems, and user types. In addition to performing research, you will be supporting the research operations across the UX team.</p></div><p></p><div><p><b><br>
Key responsibilities</b></p></div><div><ul><li>
Plan and conduct user research across complex enterprise ecosystems and multiple time zones.</li><li>
Manage recruitment across studies including consent, scheduling, registration, and attendance.</li><li>
Analyse qualitative and quantitative research at scale, synthesising insights across teams, products, and programmes.</li><li>
Produce, edit and upload digital content including audio-visual material onto research portals.</li><li>
Communicate complex findings clearly to senior stakeholders and decision‑makers.</li><li>
Manage user research tools including research repositories, booking systems etc..</li><li>
Support and mentor UX team members to conduct research.</li></ul></div><p></p><div><p><b><br>
Essential requirements</b></p><ul><li>
Demonstrable experience conducting user research in large‑scale, enterprise or complex organisational contexts.</li><li>
Strong synthesis skills, translating complex data into actionable insight.</li><li>
Excellent communication skills with experience working across multiple teams and influencing without direct authority.</li><li>
Self-motivated, able to demonstrate a flexible approach to work, both independently and as part of a global team</li><li>
Capable of multi-tasking, meeting deadlines and working in a fast-paced environment.</li></ul><p></p><p><b>
Desired skills and competencies</b></p><ul><li>
Experience in B2B or Enterprise environments.</li><li>
Some working knowledge of other languages</li><li>
Prepared to travel when possible</li></ul></div><p></p><div><p><b><br>
R&amp;D at AVEVA</b></p></div><div><p>
Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.</p><p></p><p>
Our track record of innovation is no fluke &ndash; it&rsquo;s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.</p><p></p><p>
Find out more: aveva.com/en/about/careers/r-and-d-careers/</p></div></div><p><b><br>
UK Benefits include:</b></p><p>
Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.</p><p><br>
It&rsquo;s possible we&rsquo;re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.</p><p><br>
Find out more: aveva.com/en/about/careers/benefits/</p><p><b><br>
Hybrid working</b></p><p>
We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.</p><p><b><br>
Hiring process</b></p><p>
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.</p><p><br>
Find out more: aveva.com/en/about/careers/hiring-process</p><p><b><br>
About AVEVA</b></p><p>
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals, and minerals &ndash; safely, efficiently, and more sustainably.</p><p><br>
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/</p><p><br>
Find out more: aveva.com/en/about/careers/</p><p><br>
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.</p><p><br>
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.</p></div>

User Researcher & Research Ops Coordinator

CommonAI C.I.C.

<p></p><div><p>CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.</p><p></p><p>
We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.</p><p></p><p><b>
The Opportunity</b></p><p>
We're seeking a highly skilled Software Engineer to work on Panopticon, a new AI framework equipped with stringent control and compliance protocols. Aimed primarily at highly regulated sectors such as financial services and healthcare, Panopticon is a core component of our High Assurance programme. It is designed to enable AI systems to be used safely in high-risk environments where accuracy, explainability, and accountability are a hard requirement.</p><p>
Panopticon is written in Rust, leveraging its memory safety and performance characteristics to build a robust, secure infrastructure that provides mathematical proof of correct outputs, sandboxed execution, and intelligent filtering.</p><p>
As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development.</p><p></p><p><b>
What You'll Do</b></p><ul><li>
Design, build, and maintain core components of the Panopticon framework using idiomatic Rust.</li><li>
Develop secure execution environments, multi-model validation pipelines, and intelligent filtering systems to prevent data leakage and policy violations.</li><li>
Extensively utilise LLMs, AI agents, and advanced coding copilots to write, test, and refactor code, actively seeking ways to accelerate feature development and deployment without compromising on quality.</li><li>
Architect systems that integrate safely with foundation models and user environments, ensuring strict compliance and governance frameworks are adhered to.</li><li>
Review AI-generated code for security, performance, and correctness, establishing CI/CD pipelines optimised for AI-assisted workflows.</li><li>
Collaborate with CommonAI&rsquo;s members to translate theoretical compliance protocols into production-ready software.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Proven experience building systems in Rust and familiarity with the ecosystem&rsquo;s best practices.</li><li>
Strong understanding of software architecture, systems programming, and secure coding practices.</li><li>
Direct experience and high proficiency in using LLMs and AI agents for software development (e.g., prompt engineering for code generation, experience with tools like Cursor, GitHub Copilot, or bespoke autonomous agents for code review and iterative development).</li><li>
Familiarity with the challenges of deploying AI in enterprise environments (e.g., security vulnerabilities, regulatory risk, auditability).</li><li>
Ability to debug complex software systems and optimise for latency, safety, and scalability.</li><li>
Strong problem-solving skills and a passion for redefining how software is written using AI.</li></ul><p></p><p><b>
We also value:</b></p><ul><li>
Background in highly regulated industries such as financial services, banking, or healthcare.</li><li>
Familiarity with formal verification, applied cryptography, or verifiable compute.</li><li>
Experience with sandboxing technologies (e.g., WebAssembly/Wasm, lightweight VMs, containers).</li><li>
Understanding of modern AI tooling, foundation model APIs, and deployment pipelines.</li><li>
Contributions to open-source Rust projects or AI development tools (please include links to relevant projects, GitHub repositories, or technical blogs in your application).</li></ul><p></p><p>
Ideally, you will have a background in building critical infrastructure, combined with a forward-looking mindset eager to push the boundaries of AI-assisted engineering.</p><p></p><b><br>
Benefits</b><p><br>
Benefits</p><ul><li>
A collaborative and supportive work environment</li><li>
The opportunity to have a high impact in a growing organisation</li><li>
Competitive salary package and pension</li><li>
Professional development opportunities</li><li>
Networking opportunities with influential people from across the tech sector, financial services, and academia</li><li>
A vibrant office environment located a few minutes' walk away from Cambridge train station</li></ul><p></p><p><b>
CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.</b></p></div><p></p>

Software Engineer (Rust)

Secondmind

<div><p><i>We are managing this recruitment internally and respectfully request no agency inquiries.</i><br>
<br>
Secondmind is an Equal Opportunity Employer committed to fair, equitable treatment throughout the recruitment process and beyond. We actively champion applications from all backgrounds because we believe the best work happens when people can bring their authentic, original, and best selves to the team. If you require accommodation or assistance throughout the interview process due to a disability, please contact hr@secondmind.ai<br>
we are happy to help.</p><p></p><p><b><br>
About Secondmind</b><br>
<br>
Secondmind builds data-efficient Engineering AI software that helps teams make better design and performance optimization decisions faster. Our product reduces simulation and testing requirements without compromising quality, accelerating development and enabling more sustainable engineering teams.</p><p></p><p><br>
Our positive working culture is founded on a collaborative environment that encourages teamwork and innovation. We foster open communication and cross-functional collaboration, enabling diverse teams to work together to solve complex challenges. Our flexible workplace plan ensures a healthy work-life balance, accommodating various working styles and personal needs, whether through remote work options or adaptable schedules.</p><p></p><p><br>
We also prioritize personal and professional growth by offering development opportunities, including training and mentorship. This nurturing environment empowers our employees to thrive, continuously learn, and contribute meaningfully to advancing system design and calibration with our data-efficient machine learning solutions.</p><p></p><p><br>
Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently listed in the Barclays Eagle Labs Ones to Watch AI:100. As well as being recognized with the Automotive Testing Technology International 'Alternative Powertrain Test Innovation of the Year Award 2024'; selected for the Tech Nation Future Fifty scale-up program, and named by Bloomberg as one of the UK&rsquo;s 25 Startups to Watch 2024.</p><p></p><p><b><br>
About the role<br>
</b><br>
<br>
</p><p>You'll play a crucial role in a dynamic, agile team, heavily contributing to the design, implementation, and maintenance of our cloud-based SaaS products. As a Team Lead, you will combine deep technical expertise with people management, guiding a talented team of engineers, fostering their professional growth, and championing industry best practices across the engineering discipline. This role is ideal for someone who thrives in a fast-paced environment, has a passion for building robust, maintainable software, and excels at mentoring others to achieve engineering excellence.</p><p></p><p><b><br>
What will you be responsible for?</b></p><p></p><p><b><br>
People Leadership &amp; Management</b></p><br>
<p></p><ul>
<li><b>
Squad Leadership:</b> Act as a 'squad lead', taking accountability for cross-functional team leadership and actively managing the workflow, delivery, and alignment of different disciplines within your squad.</li>
<li><b>Line Management:</b> Act as the direct line manager for software engineers, conducting regular 1:1s, managing performance, and supporting career progression.</li>
<li><b>Coaching &amp; Mentoring:</b> Actively coach and mentor team members, helping them develop their technical capabilities, engineering skills, and professional growth.</li>
<li><b>Team Culture:</b> Foster an inclusive, collaborative team environment aligned with Secondmind&rsquo;s core values, promoting psychological safety and open feedback.</li><br>
</ul>
<p><b>Discipline Leadership &amp; Engineering Practices</b></p><br>
<p></p><ul>
<li><b>
Industry Best Practices:</b> Act as a discipline lead to establish, champion, and enforce modern engineering best practices, including robust code quality, comprehensive testing frameworks.</li>
<li><b>Develop and Maintain Software:</b> Build and maintain production-quality cloud-based SaaS products. Write high-quality, maintainable software and adhere to security best practices.</li>
<li><b>Technical Governance:</b> Drive design discussions and comprehensive code reviews, ensuring the team delivers reliable, scalable, and secure cloud solutions.</li><br>
</ul>
<p><b>Project Delivery &amp; Collaboration</b></p><br>
<ul>
<li><b>Lead Projects:</b> Lead the implementation and delivery of complex projects, breaking down requirements into manageable tasks, and delivering valuable increments despite challenging deadlines.</li>
<li><b>Cross-Functional Collaboration:</b> Collaborate closely with Product Management to translate strategic product requirements into elegant, working software.</li>
<li><b>Hybrid Working:</b> Be present in the Cambridge office as part of our hybrid working environment</li><br>
</ul>
<p><b>What skills, experience, and qualifications do you need to succeed in this role?</b></p><p></p><p><b><br>
Essential</b></p>
<ul>
<li>Software development experience in a commercial environment, including experience building and maintaining large-scale cloud-based SaaS products running in production.</li>
<li>Proven experience in line management, team leadership, or serving as a technical discipline lead.</li>
<li>Strong background in coaching and mentoring engineers of varying experience levels, with a track record of leveling up team capabilities.</li>
<li>Experienced with agile working practices, iterative development, and the full software development life cycle.</li>
<li>Proven ability to deliver projects against challenging deadlines, lead complex projects, and deliver value incrementally.</li>
<li>Self-motivated, enthusiastic, and adept at identifying and solving problems. Proven ability to work effectively alongside others, emphasizing constructive feedback and continuous improvement.</li><br>
</ul>
<p><b>Our Technical Stack</b></p><p></p><p><br>
We prioritize fundamental engineering principles over specific tool familiarity. Our current environment includes:</p>
<ul>
<li><b>Core</b>: Python (Backend) and TypeScript/React (Frontend).</li>
<li><b>Infrastructure</b>: GCP, Docker, Kubernetes, Terraform, Jenkins, and GitHub Actions.</li>
<li><b>Data &amp; Storage</b>: PostgreSQL and Google Cloud Storage (GCS).</li>
<li><b>Observability</b>: ELK Stack, Prometheus, and Grafana.</li><br>
</ul>
<p><b>What will help you thrive as a Team Lead</b></p><br>
<p>
Our engineers do not just simplify problems - they make deep technical complexity navigable, scalable, and secure. You will thrive here if you possess deep technical expertise, are genuinely curious about cloud architectures, and feel comfortable driving technical governance and design discussions in a room full of specialists.</p>
<p>
We value leaders who are self-motivated, adept at solving problems, and capable of forming and defending architectural views while remaining open to constructive feedback and continuous improvement.</p><p></p><p><br>
We value leaders who broker thoughtful compromises, hold their position when it comes to maintaining robust code quality and secure best practices, and let go when a pragmatic, iterative approach delivers value faster.</p><p></p><p><br>
You will excel if you influence using both cognitive and emotional intelligence - bringing positive energy to the team, promoting psychological safety, and passionately coaching, mentoring, and line-managing engineers to support their career progression.</p><p></p><p><br>
We thrive together in a highly collaborative environment. We hire talented, genuinely helpful people who create a workplace where it&rsquo;s safe to ask when you don&rsquo;t know something or raise concerns when you spot a problem.</p><br>
<p><b>
Our culture - What we can offer you</b></p><br>
<p></p>
<p>
We offer a working environment that is inclusive, stimulates innovation and continuous learning, and that thrives on growth and change.</p><br>
<p></p>
<p>
Our culture is underpinned by our values; they are what we stand for, part of our DNA. They help us to attract and retain the right talent and customers, help us make the right decisions and clarify how we should all behave and treat one another, they are:</p><br>
<p></p>
<ul>
<li>Delight every customer (Customers)</li>
<li>No bar too high (Excellence)</li>
<li>Give more than take (Sustainability)</li>
<li>Make the impossible, possible (Innovation)</li>
<li>Celebrate differences, act as one (Inclusion)</li><br>
</ul>
<p><b>We also offer a number of benefits including:</b></p><br>
<ul>
<li>Competitive salary - reviewed annually</li>
<li>25 days annual leave, plus statutory bank holidays</li>
<li>TGIF: The last Friday of every month is a half day for our employees</li>
<li>Enhanced family leave policies</li>
<li>Salary Sacrifice Pension Scheme</li>
<li>Life Assurance of 4x salary</li>
<li>Private Medical Insurance</li>
<li>Eyecare Policy</li>
<li>Dental Cash Plan</li>
<li>Stock Options (where applicable)</li>
<li>Free 24 hour access on-site gym</li>
<li>Discount Shopping &amp; Wellbeing Platform</li>
<li>Employee Assistance Programme</li>
<li>Values Award Scheme</li>
<li>Cambridge Botanic Garden membership</li>
<li>Social events, game nights and sports groups</li></ul></div>

Team Lead - Software Engineering

Cambridge University Press & Assessment

<div><div><div><ul><li><div>Salary:</div><div>
&pound;26,600 - &pound;32,600
</div></li><li><div>Location:</div><div>
Cambridge
</div></li><li><div>Country:</div><div>
UK
</div></li><li><div>Business Unit:</div><div>
English
</div></li><li><div>Vacancy Type:</div><div>
Permanent
</div></li><li><div>Closing Date:</div><div>
12 July 2026
</div></li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Meet the recruiter</b></h2>
<p>Marco Rhobenn Caspillan</p>
<p>marco.caspillan@cambridge.org</p></div></div></div><p></p>
<br><p></p><div><p><b>Salary:</b> &pound;26,600- &pound;32,600</p>
<p><b>
Location: </b>Cambridge UK &ndash; Triangle, with hybrid working (2 days a week in the office)</p>
<p><b>
Contract:</b> Permanent</p>
<p><b>
Hours: </b>Full time 35 hours per week</p><br>
<p></p>
<p>
We are Cambridge University Press &amp; Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.</p><br>
<p></p>
<p>
If you are innovative, customer focussed, a great team player and looking for a new and exciting challenge this could be the role for you.</p><p><br>
<br>
<b>About the role</b></p>
<p>
These are exciting times for Cambridge University Press &amp; Assessment as we look to modernise our systems and strive to find creative and innovative ways to improve our products and services to customers. To enable us to meet the ever-increasing demand for our services, we are seeking to appoint an experienced, enthusiastic and dynamic Senior Assessment Operations Coordinator, who will thrive in this changing environment and is motivated by delivering excellent customer service.</p><br>
<p></p>
<p>
This role, within the Cambridge English Qualifications team, encompasses a range of tasks and responsibilities. Reporting to a line manager, you will need to establish a high standard for the following activities:</p>
<ul>
<li>Supervising others in their use of a wide range of systems and processing platforms to complete a variety of documented, business critical processes accurately and within pre-agreed timescales</li>
<li>Ensuring that peak processing periods, bespoke sessions, and projects are suitably planned for and reviewed after</li>
<li>Ensuring that identified issues and risks are accurately recorded, investigated, and suitably mitigated against in a timely manner</li>
<li>Appropriately addressing wellbeing, engagement, and performance with direct reports through continuous conversations</li>
<li>Identifying ways of developing processes and working collaboratively with colleagues to implement improvements</li>
<li>Developing an understanding of our internal and external customers and ensuring your direct reports share that understanding</li>
<li>Establishing and subsequently maintaining constructive working relationships with colleagues across the organisation and key external stakeholders to ensure the successful delivery of our exams</li>
<li>Leading direct reports in a thorough bi-annual documentation review, where comprehensive and compliant Process Flows and Work Instructions are created, reviewed, updated and signed-off</li></ul><br>
<p></p>
<p>
This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.</p><br>
<p></p>
<p><b>
About You</b><br>
<br>
The successful candidate will be an instinctive collaborator, consistently demonstrate a high-attention to detail and be able to work effectively under pressure and to demanding deadlines. They will also have a passion for helping others to realise their potential, through empowerment, recognition of progress and mutual respect.</p><br>
<p></p>
<p>
Please refer to the Job Description for further knowledge, skills and experience required for this role.</p><br>
<p></p>
<p>
If you meet the above minimum requirements, we encourage you to apply by submitting a CV and covering letter explaining how your skills and experience make you a strong fit for this position.</p><br>
<p></p>
<p>
For a detailed job description, please refer to the link at the bottom of the advert on our careers site.</p><br>
<p></p>
<p><i>
We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and who best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable and/or appropriate, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition.</i><br>
<br>
<i>Please note, Cambridge University Press &amp; Assessment is unable to sponsor this role under the Skilled Worker Visa route as it does not meet the minimum skill requirements.</i></p><br>
<p></p>
<p><b>
Rewards and benefits</b><br>
<br>
We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including:</p><br>
<ul>
<li>28 days annual leave plus bank holidays</li>
<li>Private medical and Permanent Health Insurance
</li><li>Discretionary annual bonus
</li><li>Group personal pension scheme</li>
<li>Life assurance up to 4 x annual salary
</li><li>Green travel schemes</li><br>
</ul>
<p></p><p><b>Ready to pursue your potential? Apply now.</b></p>
<p>
We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be <b>12 July. </b>We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place on/from <b>21/22/23 July</b></p><p><br>
</p><p>If you are shortlisted and progressed through the stages, you can expect:</p>
<ul>
<li>To be provided with a scenario to prepare for your interview.</li>
<li>Final stage interview: in-person at our offices in Cambridge.</li></ul><br>
<p></p>
<p>
If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.</p><p><br>
</p><p>Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.</p><br>
<p></p>
<p>
We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.</p><br>
<p></p>
<p><b>
Why join us</b></p><br>
<p>
Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe &ndash; for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.</p><p><br>
</p><p>Cambridge University Press &amp; Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.</p><p><br>
</p><p>We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.</p></div><p></p>

Senior Assessment Operations Coordinator

CommonAI CIC

<div>
 CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
 <br/>
 <br/>
 We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 We're seeking a highly skilled foundation model engineer who has experience of building, training, evaluating, and deploying LLMs or multimodal models end-to-end.
 <br/>
 <br/>
 We are currently building an AI lab with multiple GPU clusters for testing new hardware and software technologies to accelerate machine learning and inference. This exciting role will primarily focus on model development, data pipelines and system performance. You'll work across the full AI lifecycle, from experimentation to scalable deployment, with a strong emphasis on technical depth and rigour.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement end-to-end LLM training pipelines
  </li>
  <li>
   Source and, where appropriate, preprocess datasets for training and evaluation
  </li>
  <li>
   Fine-tune and optimise open weight models (LLMs, vision, or traditional ML)
  </li>
  <li>
   Build evaluation frameworks and define performance metrics
  </li>
  <li>
   Develop and maintain data pipelines and training workflows
  </li>
  <li>
   Analyse training pipelines and optimise them for latency, cost, and scalability
  </li>
  <li>
   Implement monitoring, logging, and feedback loops for continuous improvement
  </li>
  <li>
   Experiment with modern AI tooling and services to investigate how they can be leveraged
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience training and fine-tuning LLMs or multimodal models (not just using APIs)
  </li>
  <li>
   Solid understanding of:
  </li>
  <li>
   Model evaluation and validation
  </li>
  <li>
   Overfitting, bias/variance tradeoffs
  </li>
  <li>
   Data quality and feature engineering
  </li>
  <li>
   Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow)
  </li>
  <li>
   Experience building and maintaining ML pipelines in production
  </li>
  <li>
   Familiarity with GPU usage and optimisation
  </li>
  <li>
   Ability to debug and improve model performance systematically
   <br/>
   <br/>
  </li>
 </ul>
 We also value:
 <br/>
 <br/>
 <ul>
  <li>
   Knowledge of distributed training or large-scale data processing
  </li>
  <li>
   Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning)
  </li>
  <li>
   Background in applied research or publishing
  </li>
  <li>
   Familiarity with retrieval systems, embeddings, or ranking models
   <br/>
   <br/>
  </li>
 </ul>
 Ideally you will have a maths or computer science research background with a focus on developing new algorithms or techniques for training and deploying AI models.
 <br/>
 <br/>
 You may also have been working in industry in a large organisation or start-up with an emphasis on developing and deploying cutting edge machine learning.
 <br/>
 <br/>
 When applying, please include:
 <br/>
 <br/>
 <ul>
  <li>
   Links to relevant projects, papers, or GitHub repositories
  </li>
  <li>
   A brief description of a model/system you trained and deployed end-to-end
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A collaborative and supportive work environment
  </li>
  <li>
   The opportunity to have a high impact in a growing organisation
  </li>
  <li>
   Competitive salary package and pension
  </li>
  <li>
   Professional development opportunities
  </li>
  <li>
   Networking opportunities with influential people from across the tech sector and academia
  </li>
  <li>
   A vibrant office environment located a few minutes' walk away from Cambridge train station
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.
 </strong>
</div>


Foundation Model Engineer

Healx

<div><div>Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients?</div>
<div></div>
<div><h2 class="jobSectionHeader">About Healx</h2>
<p>
Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery.</p>
<p>
Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life.</p>
<p>
Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box &ndash; we still want to hear from you and encourage you to apply!</p>
<h2 class="jobSectionHeader">
Our values</h2>
<ul>
<li><p>Care for Rare &ndash; Rare disease patients are at the heart of what we do</p>
</li>
<li><p>Grow as individuals &ndash; We are learners always seeking to enhance our expertise</p>
</li>
<li><p>Win as a team &ndash; We strive to remain inclusive and diverse and we celebrate successes and lessons together</p>
</li>
<li><p>Innovate and deliver &ndash; Our mission requires rapid innovation and calculated risks that won&rsquo;t compromise our high standards</p>
</li>
</ul><h2 class="jobSectionHeader">The role</h2>
<div>
Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform.</div><div><br>
Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, the scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases.</div><div><br>
You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do.</div><div><br>
You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery.</div>
</div>
<h3 class="jobSectionHeader"><b>Key responsibilities</b></h3><div>
<ul>
<li><p>Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress.</p>
</li>
<li><div>Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn&rsquo;t</div>
</li>
<li><div>Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem</div>
</li>
<li><div>Expand and maintain our existing genAI tools so they keep pace with the team&rsquo;s needs and a fast-moving ecosystem</div>
</li>
<li>Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures</li>
<li>Write clear, maintainable, well-documented code that others on the team can build on</li>
</ul></div><h3 class="jobSectionHeader"><b>What success looks like</b></h3><div>
In 3 months, you have:</div>
<ul>
<li><p>Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase</p>
</li>
<li><p>Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements</p>
</li>
</ul><p>In 6 months you have:</p><div><br>
</div>
<ul><li>Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline - built on our framework, with sensible evaluation and documentation.</li>
<li>Operating with real independence - owning agentic workflows ent to end, proposing improvements</li>
</ul><h3 class="jobSectionHeader"><b>What we are looking for</b></h3><div>
<div>
We'd love to hear from you if your experience and interests overlap with much of this profile (and we don't expect every box ticked - if you've built things you're proud of and you're excited about what Healx does, get in touch):</div>
<ul>
<li><p>You've built and shipped LLM-agentic systems that deliver real value &mdash; agents that use tools, orchestrate multi-step workflows and behave reliably in production. We care more about what you've built than how long you've been at it.</p>
</li>
<li><div>Strong software engineering fundamentals &mdash; you write clear, tested, maintainable code that others can build on</div>
</li>
<li><div>Fluency with the modern LLM/agent toolkit &mdash; model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals).</div>
</li>
<li><p>A pragmatic sense of where an agentic approach genuinely helps and where it doesn't, and you enjoy working closely with non-engineers &mdash; the kind of person who'll sit with a scientist to understand what they actually need.</p>
</li>
</ul><p>It&rsquo;s a bonus if you have:</p>
<ul>
<li><p>Experience in drug discovery, biology, or another life scientific domain &mdash; or simply a real appetite to learn one</p>
</li>
<li><div>Familiarity with knowledge graphs or reasoning over structured or heterogeneous data</div>
</li>
<li><div>Experience building evaluation harnesses or testing strategies for LLM systems</div>
</li>
<li><div>A track record of picking up unfamiliar domains quickly and becoming useful fast</div>
</li>
<li>Interest in or experience with biotech / techbio and its impact on patient outcomes</li>
</ul></div><div><h2 class="jobSectionHeader">Working at Healx</h2>
<div>
Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements.</div>
<div>
We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming.</div>
<div>
You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans.</div>
<div>
Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know &mdash; we&rsquo;re happy to accommodate.</div>
<h3 class="jobSectionHeader">
What&rsquo;s on offer:</h3>
<p><b>
Financial </b>&ndash; Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary.</p>
<p><b>
Health and Wellbeing </b>&ndash; Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme.</p>
<p><b>
Hybrid Working </b>&ndash; We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration.</p>
<p><b>
Family Friendly </b>&ndash; Enhanced family leave policies, miscarriage and fertility leave, flexible working practices.</p>
<p><b>
Personal Development and Growth </b>&ndash; Personal learning and development budgets, regular personal development conversations and career support.</p>
<p><b>
Community Engagement and Support</b> &ndash; One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases.</p>
<p>
For more information about Healx and how we use your data please go to https://healx.ai/privacy/</p>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Agentic AI Engineer (life sciences)

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