agentic ai engineer (life sciences)

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applied ai/ml engineer (agents/rl)

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c++ ai/ml software engineer

BIOVIA

<div><div>Join our BIOVIA Materials Simulation team based in Cambridge UK, as a Software Engineer Intern, where you will contribute to the development and optimization of advanced molecular simulation methods within computational materials science. 
During this 3-month internship, you will contribute to the evaluation and optimization of machine-learned interatomic potentials, with a particular focus on the MACE, a model based on the Atomic Cluster Expansion framework. You will collaborate with experienced researchers and software developers to analyze performance, identify optimization opportunities and support the advancement of next-generation molecular simulation tools.
Role Description &amp; Responsibilities<ul><li>
Analyze the performance of molecular simulation workflows and identify areas for optimization</li><li>
Develop and test software solutions using Python where appropriate</li><li>
Support the validation of simulation results and document findings</li><li>
Collaborate with multidisciplinary scientists and software engineers within the Materials Simulation team</li><li>
Present progress and recommendations throughout the internship</li></ul></div><div>
Qualifications<ul><li>
Currently enrolled in an MSc or PhD program in Mathematics, Physics, Chemistry, Chemical Engineering, Materials Science, or a related discipline</li><li>
Good programming skills and general IT proficiency</li><li>
Experience with scripting languages, preferably Python</li><li>
Understanding of mathematics, computational methods, or physical sciences</li><li>
Strong analytical and problem-solving skills with an interest in computational materials science</li><li>
Interest in molecular simulation, machine learning, or scientific computing is considered an advantage</li><li>
Strong communication skills in English and the ability to work effectively in a collaborative research environment</li></ul>
What&rsquo;s in it for you<ul><li>
A unique opportunity to gain hands-on experience in a global tech company</li><li>
Exposure to real-world projects and collaboration with experienced professionals in an international, multicultural team</li><li>
A supportive environment that encourages learning, innovation and personal growth</li></ul>
Interested? Click on &quot;Apply&quot; to upload your application documents</div><h2 class="jobSectionHeader">
Inclusion statement</h2><div>
As a game-changer in sustainable technology and innovation, Dassault Syst&egrave;mes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it&rsquo;s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.</div></div>

Software Engineer Intern (Materials Simulation) – 3-Month Internship

Secondmind

<div>We are managing this recruitment internally and respectfully request no agency inquiries. 
 
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 
we are happy to help. 
About Secondmind 
 
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. 
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. 
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. 
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. 
About the role 
 
 
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. 
What will you be responsible for? 
People Leadership &amp; Management 
<ul>
<li>
Squad Leadership: 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>Line Management: Act as the direct line manager for software engineers, conducting regular 1:1s, managing performance, and supporting career progression.</li>
<li>Coaching &amp; Mentoring: Actively coach and mentor team members, helping them develop their technical capabilities, engineering skills, and professional growth.</li>
<li>Team Culture: Foster an inclusive, collaborative team environment aligned with Secondmind&rsquo;s core values, promoting psychological safety and open feedback.</li> 
</ul>
Discipline Leadership &amp; Engineering Practices 
<ul>
<li>
Industry Best Practices: Act as a discipline lead to establish, champion, and enforce modern engineering best practices, including robust code quality, comprehensive testing frameworks.</li>
<li>Develop and Maintain Software: Build and maintain production-quality cloud-based SaaS products. Write high-quality, maintainable software and adhere to security best practices.</li>
<li>Technical Governance: Drive design discussions and comprehensive code reviews, ensuring the team delivers reliable, scalable, and secure cloud solutions.</li> 
</ul>
Project Delivery &amp; Collaboration 
<ul>
<li>Lead Projects: Lead the implementation and delivery of complex projects, breaking down requirements into manageable tasks, and delivering valuable increments despite challenging deadlines.</li>
<li>Cross-Functional Collaboration: Collaborate closely with Product Management to translate strategic product requirements into elegant, working software.</li>
<li>Hybrid Working: Be present in the Cambridge office as part of our hybrid working environment</li> 
</ul>
What skills, experience, and qualifications do you need to succeed in this role? 
Essential
<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> 
</ul>
Our Technical Stack 
We prioritize fundamental engineering principles over specific tool familiarity. Our current environment includes:
<ul>
<li>Core: Python (Backend) and TypeScript/React (Frontend).</li>
<li>Infrastructure: GCP, Docker, Kubernetes, Terraform, Jenkins, and GitHub Actions.</li>
<li>Data &amp; Storage: PostgreSQL and Google Cloud Storage (GCS).</li>
<li>Observability: ELK Stack, Prometheus, and Grafana.</li> 
</ul>
What will help you thrive as a Team Lead 

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.

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. 
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. 
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. 
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. 

Our culture - What we can offer you 


We offer a working environment that is inclusive, stimulates innovation and continuous learning, and that thrives on growth and change. 


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: 

<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> 
</ul>
We also offer a number of benefits including: 
<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

Flagship Pioneering, Inc.

<div>Position Summary:

We are looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate analysis, reasoning, and decision support, and AI assisted tools that help connect genotype, cell state, perturbation, phenotype, and disease mechanism. This is a hands-on role for someone who enjoys writing clear, reliable code, uses modern AI tools to move faster, and wants their work to shape real biological and therapeutic decisions.

Responsibilities:
<ul>
<li>Build ML models for genomic, single-cell, perturbation, and phenotype data.</li>
<li>Develop agentic AI workflows that help scientists analyze data, test hypotheses, and make better decisions.</li>
<li>Use AI coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible.</li>
<li>Train and fine tune foundation models, language models, and representation learning methods for target discovery.</li>
<li>Model relationships between genotype, cell state, perturbation response, causal biology, and disease.</li>
<li>Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams.</li>
<li>Communicate results clearly, including model assumptions, limitations, and next steps.</li>
</ul>
Qualifications:

You do not need to meet every item to apply. Strong candidates may come from academia, industry, open-source work, or hands-on research.
<ul>
<li>PhD, Master's degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field.</li>
<li>Strong Python coding skills and experience building practical Deep Learning ML systems.</li>
<li>Experience using AI coding tools, coding assistants, LLM-based workflows, or agentic development tools.</li>
<li>Experience training, evaluating, or applying ML models to complex real-world data.</li>
<li>Depth in one or more of: biomedical foundation models, agentic AI, Perturb-seq, single-cell genomics, genotype&ndash;phenotype modeling, causal inference, perturbation modeling, or large-scale biological datasets.</li>
<li>Evidence of technical depth through papers, thesis work, open-source projects, industry projects, or substantial hands-on applied research.</li>
</ul>
Values and Behaviors:
<ul>
<li>Encourage respectful disagreement and cultivate open-minded, ego-free interactions to continuously push each other towards excellence</li>
<li>Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source</li>
<li>Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions</li>
<li>Use a company-first mindset to guide decision-making; prioritize team over individual success</li>
<li>Take calculated risks and challenge convention in the quest for exceptional outcomes</li>
</ul>
About Quotient:

Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs.

The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS).

Quotient Therapeutics and Flagship Pioneering are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Recruitment &amp; Staffing Agencies:

Quotient Therapeutics (&quot;Quotient&quot;) and Flagship Pioneering (&quot;FSP&quot;) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Quotient, FSP or their employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.<div> 

Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.</div></div>

Senior Machine Learning Scientist

Roku

<div>
 Teamwork makes the stream work.
 
 &nbsp;
 
 
 Roku is changing how the world watches TV
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 About the Team
 
 
 
 At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We're the engineers who build the high-performance graphics and UI foundations that power the FRAME engine &mdash; the core technology enabling Roku's smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges &mdash; from optimizing UI rendering to fine-tuning memory usage &mdash; using BrightScript (a JavaScript-like language) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.
 
 
 
 About the Role
 
 
 As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force behind embedding intelligent, autonomous AI capabilities into Roku's platform &mdash; reimagining how our systems create, optimize, and deliver experiences to tens of millions of devices. Rather than building UI features directly, you'll design and deploy agentic AI systems that reason, plan, and act across our development and delivery pipelines &mdash; from automating the generation of themed experiences to enabling self-optimizing rendering workflows within the FRAME engine. You'll leverage your years of experience in software engineering and building world class UI to build AI agents that understand the constraints of embedded, performance-critical systems and operate effectively within them. This is a role for engineers who think in terms of autonomous systems, multi-step reasoning, and tool-use architectures &mdash; and who want to fundamentally reshape how a streaming platform is built, maintained, and evolved.
 
 
 What You'll Be Doing
 
 <ul>
 <li>
 We don't train models, we don't 'fine-tune' LLMs; We build automated agentic processes
 </li>
 <li>
 Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
 </li>
 <li>
 Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team
 </li>
 <li>
 Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs
 </li>
 <li>
 Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
 </li>
 <li>
 Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling
 </li>
 <li>
 Stay at the forefront of agentic AI research &mdash; including LLM orchestration, RAG, function calling, and autonomous code generation &mdash; and bring those advances into our platform
 </li>
 <li>
 Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 We're Excited if you Have
 
 &nbsp;
 <ul>
 <li>
 Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
 </li>
 <li>
 Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
 </li>
 <li>
 Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks
 </li>
 <li>
 Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
 </li>
 <li>
 A builder's mentality &mdash; you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams
 </li>
 <li>
 Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation
 </li>
 <li>
 A software engineer's instinct for reliability, testability, and clean architecture &mdash; applied to the unique challenges of non-deterministic AI systems
 </li>
 <li>
 Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 Our Hybrid Work Approach
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 &nbsp;
 
 
 Benefits
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 &nbsp;
 
 
 Accommodations
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 &nbsp;
 
 
 The Roku Culture
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Senior Agentic AI Engineer

<div>Arm's Vulnerability Research Tooling Team is looking for a Principal Software Engineer to help build AI-enabled tooling for hardware security issue identification.
You will help design, build, and evolve systems that capture hardware security expertise and turn it into reusable datasets, analysis workflows, evaluation methods, and tooling.
This role sits at the intersection of software engineering, AI tooling, data engineering, and security. The focus is to compose software and AI solutions that help detect security concerns across architectural specifications, RTL, firmware interfaces, software models, and hardware-software design assumptions.
Job Overview:
We are seeking a Principal Software Engineer to play a meaningful role in establishing a new AI-enabled capability for hardware security issue identification.
Working closely with hardware security experts, software security engineers, research collaborators, and platform teams, the role is responsible for turning expert review knowledge into scalable software systems. You will help define how hardware security expertise is captured, structured, evaluated, and applied through AI-assisted analysis workflows.
This is not a traditional hardware validation or verification role. You do not need to be a hardware verification specialist. However, you should be comfortable building systems that help experts reason across architectural requirements, RTL, firmware connections, software representations, and hardware-software build assumptions.
As a Principal Engineer, you will be expected to create structure in an emerging area, influence technical direction, and help mature early prototypes into durable internal capabilities.
Responsibilities:<ul><li>
Lead the design and delivery of AI-enabled tooling for hardware security issue identification across specifications, RTL, firmware interfaces, software models, and hardware-software boundaries.</li><li>
Develop analysis workflows and services that combine AI, retrieval, static analysis, automation, and human review to produce credible security findings.</li><li>
Partner across hardware engineering, software security, research, fuzzing, threat modelling, and platform teams to ensure the tooling is practical, technically grounded, and aligned with engineering workflows.</li><li>
Define evaluation approaches for AI-assisted security analysis, including benchmark tasks, ground truth, confidence measures, false-positive handling, and evidence quality.</li><li>
Contribute to the long-term roadmap for hardware security AI tooling, including prototype evolution, productionisation, platform integration, and future research directions.</li></ul>
Required Skills and Experience :<ul><li>
Significant experience designing and building software systems using modern backend, data, platform, or developer tooling engineering practices.</li><li>
Experience building AI-enabled tooling, data-heavy engineering systems, analysis platforms, developer tools, or automation for complex technical domains.</li><li>
Practical understanding of LLM-based systems, including retrieval, embeddings, context engineering, structured outputs, tool/function calling, workflow orchestration, and AI-assisted analysis patterns.</li><li>
Familiarity with sophisticated AI workflow techniques such as agentic workflows, task decomposition, evaluator/critic loops, human-in-the-loop review, context or memory systems, and traceable evidence generation</li><li>
Ability to work with domain experts, extract tacit knowledge, and translate it into structured data, software workflows, evaluation criteria, and maintainable tooling.</li><li>
Ability to influence technical direction and collaborate effectively across security, software, hardware, research, and platform teams.</li></ul>
&ldquo;Nice To Have&rdquo; Skills and Experience :<ul><li>
Exposure to hardware architecture, RTL, firmware, SoC design, CPU/GPU systems, or hardware/software interfaces.</li><li>
Exposure to hardware security, platform security, vulnerability research, secure development, or threat modelling.</li><li>
Experience with static analysis, symbolic analysis, formal methods, or other automated techniques.</li><li>
Experience building datasets, benchmarks, evaluation harnesses, or test corpora for AI-assisted analysis.</li><li>
Familiarity with cloud, containerized development, infrastructure-as-code, CI/CD, observability, or internal engineering platforms.</li><li>
Experience collaborating with research teams or translating research ideas into production engineering workflows.</li></ul>
Accommodations at Arm
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.
Hybrid Working at Arm
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.
Equal Opportunities at Arm
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.
<div>Salary Range:
&pound;126,200 <ul><li>&pound;170,800</li></ul> per year</div></div>

Principal Software Security Engineer

Ipsos

<div>Senior Platform &amp; Reliability Production Engineer &ndash; Audience Measurement
Make Your Mark at Ipsos
Ipsos CrossMedia is at a pivotal and exciting stage of growth, and we are looking for a motivated Production Engineer to join our innovative Data Science and Engineering teams. This is a fantastic opportunity to work on both high-profile, established projects for blue-chip clients and to contribute to brand-new, greenfield initiatives.
What is in it for you?
This is a fantastic opportunity for someone to enhance their career and develop key skills. You will get the opportunity to:
<ul><li>Build and Manage Cloud Infrastructure: You will own the management of our production and development infrastructure on Google Cloud Platform (GCP) and AWS. This includes our Kubernetes clusters, cloud storage, and identity and access management.
</li><li>Master Infrastructure as Code (IaC): You will design, write, and deploy code to manage our infrastructure using modern IaC tools like Terraform or Pulumi. This is a chance to build your skills in creating repeatable and robust systems.
</li><li>Automate Everything: You will be responsible for our CI/CD pipelines, using tools like GitHub Actions, or Azure DevOps to automate the building, testing, and deployment of our applications and data workflows.
</li><li>Orchestrate Data Workflows: A core part of your role will be creating, maintaining, and monitoring our data ingestion and delivery pipelines using Argo Workflows. You'll ensure that data flows seamlessly and reliably to our clients and internal teams.
</li><li>Ensure System Reliability (SRE Principles): You will monitor the health and performance of our systems, ensuring efficient resource usage. When issues arise, you'll be on the front line, performing root cause analysis, deploying fixes, and providing Level 2 technical support. You'll also contribute to a blameless post-mortem culture to learn from incidents.
</li><li>Drive Continuous Improvement: You will be empowered to propose and implement structural improvements to our platform, from configuration management to system architecture. We want you to help us get better every day.
</li><li>Collaborate Across Teams: You will work closely with our talented Data Scientists, Software Engineers, and Product Owners to build scalable, reliable, and secure solutions that meet their needs.
</li>Shared On-Call Responsibility: You will participate in a shared, rota-based, out-of-hours emergency on-call schedule. We strive to build resilient systems to keep this quiet, and we ensure our on-call engineers are well-supported. 
<li>
</li></ul>The Role:
As a key member of our team, you will be at the heart of our data platform, ensuring its reliability, scalability, and efficiency. We are constantly evolving our workflows and are committed to investing in cutting-edge technology. If you are passionate about designing, building, and deploying resilient, distributed systems and want to make a tangible impact, you will thrive here. You won't just be maintaining systems; you'll have the autonomy to propose and implement new ideas and technologies that will shape the future of our data infrastructure.
About you:
The successful candidate will bring:
<ul><li>Cloud Platform Experience: Professional experience with a major cloud provider (GCP, AWS, or Azure). We primarily use GCP and AWS, so experience there is a significant plus.
</li><li>Infrastructure as Code (IaC): Knowledge of IaC principles and tools such as Terraform, Pulumi, or Ansible.
</li><li>CI/CD: Knowledge of continuous integration and continuous delivery workflows.
</li><li>Databases: Working knowledge of SQL and experience with relational databases or data warehouses.
</li><li>Scripting and Automation: Proficiency in a scripting language (e.g., Python, Bash) and comfort with the Unix/Linux command line (we expect you to know your way around `grep`, `awk`, `sed`, etc.).
</li><li>ETL/Data Pipelines: Familiarity with data workflows and tools like Argo Workflows.
</li></ul>Desirable Skills (Nice to Have)
<ul><li>Containerization and Orchestration: Experience with Docker and Kubernetes is highly desirable.
</li><li>Version Control: Proficiency with Git and collaborative workflows (e.g., pull requests, code reviews).
</li><li>Experience of Windows IIS
</li><li>NoSQL Databases: Familiarity with NoSQL databases like MongoDB or DynamoDB.
</li><li>Agile and Project Tracking: Experience with tools like Jira or Azure DevOps.
</li><li>Networking Concepts: A good understanding of networking principles (TCP/IP, DNS, HTTP).
</li><li>Security Best Practices: A good awareness of and interest in security and privacy in the cloud.
</li></ul>Benefits:
We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health &amp; wellbeing, financial benefits and professional development opportunities.
We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.
We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.
Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome.</div>

Senior Production Engineer

<div>Job Overview
Are you passionate about creating exceptional content experiences and curious about how sophisticated technologies come together?
We are seeking a dedicated Information Developer to join our Silicon Tech Comms team. This captivating opportunity goes beyond creating documentation. You will define how users discover, understand, and adopt telemetry capabilities by bringing together content strategy and architecture, user experience, and tooling into a cohesive vision.
Working across engineering, product management, support, and user experience teams, you will help ensure that we all pull in the same direction to deliver a consistent and effective customer experience.
You will be joining a new collaborative team, shaping our vision of engaging content built using innovative approaches.
Responsibilities<ul><li>
Implement the content strategy and information experience for Arm Telemetry.</li><li>
Partner with engineers, product managers, and domain experts to understand user needs and shape content that delivers measurable value.</li><li>
Drive alignment across content, tooling, and product teams, helping establish scalable structured content approaches that reduce duplication and improve consistency.</li><li>
Champion modern information development and AI-enabled documentation-as-code practices and mentor others through influence and technical leadership.</li><li>
Be comfortable and deliver in a fast-moving engineering environment where requirements, priorities, and organizational structures continue to evolve.</li><li>
Work across architecture, hardware design, software, validation, product management, and leadership teams to gather information, reconcile differing viewpoints, and drive documentation efforts forward even when decisions are still being formed.</li></ul>
Key skills and competencies:<ul><li>
Familiarity with user-centred content design, information architecture, and developer or customer experience.</li><li>
Comfortable working with docs-as-code and content tooling, including Git-based workflows.</li><li>
Strong problem-solving skills, with a pragmatic approach to explore technologies, investigate problems, and recommend improvements.</li><li>
Influence without direct authority across multiple teams and disciplines to balance user requirements and business objectives.</li><li>
Experience working closely with hardware and software engineers on complex technical topics.</li><li>
Have built relationships and credibility across technical and non-technical teams.</li><li>
Have operated effectively with incomplete information and evolving requirements.</li></ul>
Nice to have:<ul><li>
Experience in telemetry, performance analysis, or related domains.</li><li>
Awareness of Arm technologies, silicon, and software development ecosystems.</li><li>
Knowledge of structured authoring, componentised content models, and content reuse strategies.</li></ul>
You might have a relevant degree or post-grad qualification &mdash; but it&rsquo;s not crucial. We value strong experience in Technical Communications or Information Development just as much.
Most important is your ability to learn fast, grow in the role, and share your experience and knowledge with the team.
Reasonable Accommodations
We are committed to crafting an inclusive working environment. If you need any reasonable adjustments during the recruitment process or to perform the role, we will work with you to understand and support your needs.
In Return:
This role offers the opportunity to cultivate a strategic area of Arm's developer experience and influence how users interact with telemetry technologies across the ecosystem.
Additional Information
Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm. 
 
#LI-AA1
Accommodations at Arm
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.
Hybrid Working at Arm
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.
Equal Opportunities at Arm
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.
<div>Salary Range:
&pound;57,900 <ul><li>&pound;78,400</li></ul> per year</div></div>

Senior Information Developer (Technical Author)

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