agentic ai engineer (life sciences)

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c++ ai/ml software engineer

senior agentic ai engineer Jobs in Cambridge

senior agentic ai engineer

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senior data engineer, python, spark

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senior director of ai and data strategy

senior machine learning scientist

microTECH Global LTD

<div>
 <p>
  Job Title: AI Software Engineer
 </p>
 <p>
  Location: London or Cambridge, UK
 </p>
 <p>
  Type: Permanent
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client are an international semiconductor company.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  Lead engineering efforts on complex research projects in machine learning and artificial intelligence
 </p>
 <p>
  Optimize algorithms and ensure the scalability and robustness of research prototypes and systems
 </p>
 <p>
  Coordinate closely with researchers to align engineering work with research objectives and project goals
 </p>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <p>
  PhD in Computer Science or related subject
 </p>
 <p>
  Extensive experience researching machine learning algorithms and systems
 </p>
 <p>
  Advanced proficiency in programming languages such as Python, C++, or similar
 </p>
 <p>
  Experience with optimization, reinforcement learning, and/or large language models (LLMs)
 </p>
 <p>
  Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
 </p>
 <p>
  Experience with scalable system design and deployment in research or production environments
 </p>
 <p>
  Exposure to chip design or applied AI research
 </p>
 <p>
  <br/>
 </p>
 <p>
  If this sounds like it could be of interest, please apply below or reach out to daniel@microtech-global.com
 </p>
</div>


Artificial Intelligence Engineer

University of Cambridge

<div></div><div><div><div><div><div><div><div><div><div><p>Applications are invited for the post of Research Administrator to support and coordinate the activities of the Cambridge ELLIS unit. ELLIS (European Laboratory for Learning and Intelligent Systems, https://ellis.eu) is a European AI network of excellence putting together the best researchers in machine learning in Europe. It focuses on fundamental science, technical innovation and societal impact.</p>
<p>The Cambridge ELLIS unit is based within the Information Engineering Division at the Department of Engineering's Trumpington Street site. By coordinating and supporting the activities of the unit, the Research Administrator will help it achieve the scientific goals of the ELLIS initiative.</p>
<p>In addition to providing support for the Cambridge ELLIS unit, the role-holder will also provide administrative support to one of the research groups within the Machine Intelligence Lab of the Information Engineering Division.</p>
<p>Educated to HND/HNC level or equivalent level of experience, you will be an experienced user of Microsoft Office with excellent organisational skills. Previous administrative experience and an understanding of research coordination are essential and ideally this would have been gained within a similar role in the University. Excellent communication and interpersonal skills are also essential pre-requisites for this role.</p>
<p>Fixed-term: The funds for this post are available for 2 years in the first instance.</p>
<p>Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.</p>
<p></p>
<p>The closing date for applications is Wednesday 9 September 2026.</p>
<p>Informal enquiries are welcomed and should be directed to the HR Office on hr-office@eng.cam.ac.uk or 01223 332615.</p>
<p>Please quote reference NM50875 on your application and in any correspondence about this vacancy.</p>
<p>The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.</p>
<p>The University has a responsibility to ensure that all employees are eligible to live and work in the UK.</p>
</div></div></div></div><p></p><div><div><div><div><div><div><div><p>Apply online</p></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Research Administrator (ELLIS Initiative)

Healx

<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 &ndash; we still want to hear from you and encourage you to apply!
 <br/>
 <br/>
 Our values
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Care for Rare &ndash; Rare disease patients are at the heart of what we do
  </li>
  <li>
   Grow as individuals &ndash; We are learners always seeking to enhance our expertise
  </li>
  <li>
   Win as a team &ndash; We strive to remain inclusive and diverse and we celebrate successes and lessons together
  </li>
  <li>
   Innovate and deliver &ndash; 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, 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 &mdash; built on our framework, with sensible evaluation and documentation
  </li>
  <li>
   Operating with real independence &mdash; owning agentic workflows end 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
 <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.
  </li>
  <li>
   You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals &mdash; you write clear, tested, maintainable Python 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>
   You enjoy working closely with non-engineers &mdash; you are 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 science domain
  </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>
 &ndash; Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary.
 <br/>
 <br/>
 <strong>
  Health and Wellbeing
 </strong>
 &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.
 <br/>
 <br/>
 <strong>
  Hybrid Working
 </strong>
 &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.
 <br/>
 <br/>
 <strong>
  Family Friendly
 </strong>
 &ndash; Enhanced family leave policies, miscarriage and fertility leave, flexible working practices.
 <br/>
 <br/>
 <strong>
  Personal Development and Growth
 </strong>
 &ndash; Personal learning and development budgets, regular personal development conversations and career support.
 <br/>
 <br/>
 <strong>
  Community Engagement and Support
 </strong>
 &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.
 <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>


Agentic AI Engineer (life sciences)

<div><div><p>Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients?</p>
<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, 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><div>Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures</div>
</li>
<li><p>Write clear, maintainable, well-documented code that others on the team can build on</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>What success looks like</b></h3><div>
<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>
<ul>
<li><p>Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline &mdash; built on our framework, with sensible evaluation and documentation</p>
</li>
<li><p>Operating with real independence &mdash; owning agentic workflows end to end, proposing improvements.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>What we are looking for</b></h3><div>
<div>
We'd love to hear from you if</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.</p>
</li>
<li><div>You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals &mdash; you write clear, tested, maintainable Python 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>You enjoy working closely with non-engineers &mdash; you are 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 science domain</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><p>Interest in or experience with biotech / techbio and its impact on patient outcomes.</p>
</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><br>
We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming.</div><div><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.</div><div><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.</div><br>
<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><br>
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>

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<p>We are looking for dedicated Software and DevOps engineers to join our team in Cambridge. This role has significant impact in improving the engineering experience at Arm!</p>
<p>The Engineering Platform Services teams deliver the platforms, tools, and systems required to develop our software and hardware IP. In this group, the Cloudbees CI team supports Cloudbees CI (Jenkins Enterprise) used company-wide by engineers. They also provide libraries, guidelines, and standard methodologies for optimizing use of the service.</p>
<p>As a Senior Engineer at Arm, you will own technical deliveries, with responsibility from requirements through to planning, implementation, and delivery and will participate in production support and our paid on-call rota for high impact incident response.</p>
<p>At the heart of our approach is a genuine passion for improving the lives of other Engineers at Arm. We maintain a complete focus on delivering solutions aligned to business outcomes.</p>
<h2 class="jobSectionHeader"><b>Responsibilities:</b></h2>
<p>Working hands-on with a variety of technologies, to provide an outstanding engineering experience for Arm's hardware and software engineers. The domains and areas include:</p>
<ul><li>Software builds and test solutions using CI/CD, binary, secret, and test management.</li>
<li>Developing services using SaaS, cloud-based environments, and large-scale clustered compute.</li>
<li>Exploiting virtualisation and cloud technologies using Docker, Kubernetes, and Terraform.</li>
<li>Engineering experience &ndash; improving the daily life and efficiency of engineers across Arm.</li>
</ul><h2 class="jobSectionHeader"><b>Required Skills and Experience:</b></h2>
<ul><li>4 to 8 years working experience in the DevOps field.</li>
<li>Demonstrable background in Software Development and Build.</li>
<li>A good understanding of the software development lifecycle!</li>
<li>Strong experience with at least one programming language (Python, Groovy, Java, Golang, C, C++).</li>
<li>Experience with Cloudbees CI or Jenkins Pipelines.</li>
<li>Containerisation (Docker, Kubernetes, Helm, ArgoCD).</li>
<li>Experience of Linux-based infrastructure build, provisioning, and maintenance.</li>
<li>Good knowledge of Cloud services. Experience of at least one of the following: AWS (preferred), Azure, Google Cloud Platform.</li>
<li>Demonstrable experience in Infrastructure as code technologies such as Terraform, Ansible, Puppet.</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Skills and Experience:</b></h2>
<ul><li>Experience working in a Platform Engineering environment. This includes a focus on developer experience and efficiency. It also involves enabling self-service access to infrastructure and systems through automation.</li>
<li>Experience of Microservice Software development.</li>
<li>Experience using AI-assisted tools or techniques to improve engineering efficiency, productivity, and developer workflows.</li>
</ul><h2 class="jobSectionHeader"><b>In Return:</b></h2>
<p>We will provide the training and environment to excel in this role. We offer a hybrid approach to remote and office working and strive to provide an adaptable experience for all employees and to promote a strong collaborative environment.</p>
<h2 class="jobSectionHeader"><b>Accommodations at Arm</b></h2>
<p>At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.</p>
<h2 class="jobSectionHeader"><b>Hybrid Working at Arm</b></h2>
<p>Arm&rsquo;s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team&rsquo;s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.</p>
<h2 class="jobSectionHeader"><b>Equal Opportunities at Arm</b></h2>
<p>Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don&rsquo;t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p>
<div><h2 class="jobSectionHeader"><b>Salary Range:</b></h2>
<div>&pound;73,500</div> <ul><li>&pound;99,500</li></ul> <div>per year</div></div></div>

Senior DevOps Engineer

Explore 5+ Senior machine learning scientist in Cambridge this August. Find roles across top companies and apply now to boost your career.

5 senior machine learning scientist jobs In Cambridge

Artificial Intelligence Engineer

Research Administrator (ELLIS Initiative)

Agentic AI Engineer (life sciences)

Agentic AI Engineer (life sciences)

Senior DevOps Engineer