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agentic ai engineer (life sciences) Jobs in Cambridge

agentic ai engineer (life sciences)

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applied ai/ml engineer (agents/rl)

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

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senior agentic ai engineer

artificial intelligence specialist

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)

<div>
 Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients?
 <br/>
 <br/>
 <strong>
  About Healx
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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 - we still want to hear from you and encourage you to apply!
 <br/>
 <br/>
 Our values
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Care for Rare - Rare disease patients are at the heart of what we do
  </li>
  <li>
   Grow as individuals - We are learners always seeking to enhance our expertise
  </li>
  <li>
   Win as a team - We strive to remain inclusive and diverse and we celebrate successes and lessons together
  </li>
  <li>
   Innovate and deliver - Our mission requires rapid innovation and calculated risks that won&rsquo;t compromise our high standards
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 The role
 <br/>
 <br/>
 Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform.
 <br/>
 <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.
 <br/>
 <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.
 <br/>
 <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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress.
  </li>
  <li>
   Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn&rsquo;t
  </li>
  <li>
   Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem
  </li>
  <li>
   Expand and maintain our existing genAI tools so they keep pace with the team&rsquo;s needs and a fast-moving ecosystem
  </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
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Success Looks Like
  <br/>
 </strong>
 In 3 months, you have:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase
  </li>
  <li>
   Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 In 6 months you have:
 <br/>
 <br/>
 <br/>
 <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
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
 </strong>
 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):
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   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.
  </li>
  <li>
   Strong software engineering fundamentals &mdash; you write clear, tested, maintainable code that others can build on
  </li>
  <li>
   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).
  </li>
  <li>
   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.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 It&rsquo;s a bonus if you have:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Experience in drug discovery, biology, or another life scientific domain &mdash; or simply a real appetite to learn one
  </li>
  <li>
   Familiarity with knowledge graphs or reasoning over structured or heterogeneous data
  </li>
  <li>
   Experience building evaluation harnesses or testing strategies for LLM systems
  </li>
  <li>
   A track record of picking up unfamiliar domains quickly and becoming useful fast
  </li>
  <li>
   Interest in or experience with biotech / techbio and its impact on patient outcomes
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Working at Healx
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 What&rsquo;s on offer:
 <br/>
 <br/>
 <strong>
  Financial
 </strong>
 - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary.
 <br/>
 <br/>
 <strong>
  Health and Wellbeing
 </strong>
 - 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.
 <br/>
 <br/>
 <strong>
  Hybrid Working
 </strong>
 - 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.
 <br/>
 <br/>
 <strong>
  Family Friendly
 </strong>
 - Enhanced family leave policies, miscarriage and fertility leave, flexible working practices.
 <br/>
 <br/>
 <strong>
  Personal Development and Growth
 </strong>
 - Personal learning and development budgets, regular personal development conversations and career support.
 <br/>
 <br/>
 <strong>
  Community Engagement and Support
 </strong>
 - 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.
 <br/>
 <br/>
 For more information about Healx and how we use your data please go to https://healx.ai/privacy/
 <br/>
 <br/>
 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.
</div>


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

CuspAI

<div>
 <strong>
  About CuspAI
  <br/>
  <br/>
 </strong>
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 <br/>
 <br/>
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 <br/>
 <br/>
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 <br/>
 <br/>
 <strong>
  We&rsquo;re on the cusp of the on-demand materials era. Join us.
  <br/>
  <br/>
 </strong>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.
 <br/>
 <br/>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 <strong>
  orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 </strong>
 ,
 <strong>
  and driving experimental campaigns
 </strong>
 to find breakthrough materials faster than ever before.
 <br/>
 <br/>
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Agentic systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
  </li>
  <li>
   Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
  </li>
  <li>
   Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
  </li>
  <li>
   Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
  </li>
  <li>
   Create evaluations to measure the effectiveness of agents
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimental design
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build agents that perform experimental design &mdash; applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
  </li>
  <li>
   Help close the loop between simulation and physical experiments so that outcomes become durable knowledge &mdash; feeding back into what agents know and how their models reason &mdash; compounding across campaigns.
  </li>
  <li>
   Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interdisciplinary Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
  </li>
  <li>
   Work on customer projects and implement the direct needs required for these projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have Skills and Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
  </li>
  <li>
   Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
  </li>
  <li>
   Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
  </li>
  <li>
   If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
  </li>
  <li>
   You have a proactive builder mentality with a bias toward shipping and iteration
  </li>
  <li>
   Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
  </li>
  <li>
   Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points (But Not Critical):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
  </li>
  <li>
   Experience with agentic frameworks and building LLM-powered applications
  </li>
  <li>
   Experience with sequential decision-making methods &mdash; Bayesian optimization, active learning, bandits, or reinforcement learning &mdash; applied to real-world systems
  </li>
  <li>
   Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Considerations
  <br/>
  <br/>
 </strong>
 This role could be based in our
 <strong>
  Cambridge, London, Amsterdam or Berlin offices
 </strong>
 , with the expectation of being
 <strong>
  in the office three days per week
 </strong>
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 <br/>
 <br/>
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 <br/>
 <br/>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A competitive salary: We value and reward impact and growth
  </li>
  <li>
   Equity in CuspAI: You have a stake in the success of the company
  </li>
  <li>
   Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
  </li>
  <li>
   &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
  </li>
  <li>
   Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
  </li>
  <li>
   Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
  </li>
  <li>
   True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
  <br/>
  <br/>
 </strong>
 <strong>
  CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 </strong>
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 <br/>
 <br/>
 <strong>
  We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
  <br/>
  <br/>
 </strong>
 <strong>
  Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
  <br/>
  <br/>
 </strong>
</div>


Applied AI/ML Engineer (Agents/RL)

Graphcore

<div><h3 class="jobSectionHeader"><b>About the job</b></h3>
<p>
Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems.</p>
<p>
This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute.</p>
<h3 class="jobSectionHeader"><b>
The team and culture</b></h3>
<p>
The ML QA team sits where Graphcore's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking.</p>
<p>
Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns.</p>
<p>
Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly.</p>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<ul><li>Strong software design skills, with experience building maintainable systems across large codebases.</li><li>Production Python experience, including testable, reliable code used by other engineers.</li><li>Experience with CI/CD, automated testing and Linux based development workflows.</li><li>Familiarity with C or C++, with confidence reading and debugging low level code.</li><li>Understanding of ML frameworks, workloads or model execution beyond simple API usage.</li><li>Ability to mentor engineers, improve practices and take ownership of complex technical problems.</li></ul>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
<p>
We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.</p>
<h3 class="jobSectionHeader"><b>
Join the team at Graphcore</b></h3><br>
<p>
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.</p>
<p>
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.</p>
<p>
Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.</p>
<p>
If you want to shape how complex ML software is tested, trusted and improved, we'd love to hear from you. Apply now to be part of the journey.</p></div>

Senior Software Engineer (ML QA)

<div><h3 class="jobSectionHeader"><b>About the job</b></h3>
<p>
Validate the ML stack that turns accelerator hardware into trusted AI performance.</p>
<p>
This role sits where modern ML models meet Graphcore's software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.</p>
<p>
Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.</p>
<p>
You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.</p>
<p>
This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.</p>
<h3 class="jobSectionHeader"><b>
The team and culture</b></h3>
<p>
The ML QA team is where Graphcore's ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.</p>
<p>
Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.</p>
<p>
You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.</p>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<ul><li>Strong experience in Machine Learning or ML-adjacent software engineering roles.</li><li>A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.</li><li>Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.</li><li>Strong Python skills for automation, experimentation, benchmarking and reporting.</li><li>Experience designing, running and analysing ML benchmarks or model experiments.</li><li>Confident debugging skills in Linux, with curiosity about model behaviour and system performance.</li></ul>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>
<p>
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.</p>
<p>
We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.</p>
<h3 class="jobSectionHeader"><b>
Join the Team at Graphcore</b></h3>
<p>
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.</p>
<p>
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.</p>
<p>
Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.</p>
<p>
If you want to validate the systems behind next generation AI compute, we'd love to hear from you. Apply now to help build what comes next.</p></div>

Staff Engineer (ML Engineer)

<div>
 <strong>
  About Graphcore
  <br/>
  <br/>
 </strong>
 Graphcore is one of the world&rsquo;s leading innovators in Artificial Intelligence compute.
 <br/>
 <br/>
 It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
 <br/>
 <br/>
 As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world&rsquo;s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
 <br/>
 <br/>
 Graphcore&rsquo;s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.
 <br/>
 <br/>
 <strong>
  The Team
  <br/>
  <br/>
 </strong>
 The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.
 <br/>
 <br/>
 <strong>
  Responsibilities And Duties
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, own, and maintain tools and services to support the software build and release process
  </li>
  <li>
   Deploy and maintain services with Kubernetes and Docker
  </li>
  <li>
   Manage our Cloud Infrastructure using tools such as Terraform
  </li>
  <li>
   Support the technical development of junior and graduate engineer
  </li>
  <li>
   Embody a strong engineering discipline for high reliability and minimal toil
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Profile
  <br/>
  <br/>
 </strong>
 <strong>
  Essential
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledge of Python/Go/C++ (or similar language)
  </li>
  <li>
   Experience deploying services in the cloud (AWS preferred)
  </li>
  <li>
   Deep understanding of Linux environments
  </li>
  <li>
   Native user of CI/CD for production deployments
  </li>
  <li>
   Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirable
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience using Kubernetes (k8s) or OpenStack
  </li>
  <li>
   Experience with GitHub Actions
  </li>
  <li>
   Experience with build tools (e.g. CMake)
  </li>
  <li>
   Experience with modern observability tooling (e.g. Prometheus)
  </li>
  <li>
   Experience with Grafana
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we&rsquo;re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
 <br/>
 <br/>
 <em>
  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
 </em>
</div>


Senior Software Infrastructure Engineer

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