applied ai/ml engineer (agents/rl)

c++ ai/ml software engineer Jobs in Cambridge

c++ ai/ml software engineer

embedded engineer

junior software engineer - aum Jobs in Cambridge

junior software engineer - aum

principal software security engineer Jobs in Cambridge

principal software security engineer

c ai ml software engineer

<div>C++ AI/ML Software Engineer
Description -
C++ AI/ML Software Engineer- HP Wolf Security 
 
HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware-enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&amp;D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. 
 
You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting-edge machine learning research and production-grade security software. To see what our engineering teams are working on, visit our technical blogs: https://threatresearch.ext.hp.com/blog . 
 
We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full-time opportunity for a collaborative, hands-on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. 
 
We offer a comprehensive benefits package and excellent career development opportunities. 
 
<h2 class="jobSectionHeader">Responsibilities for the C++ AI/ML Software Engineer
</h2><ul><li>Design, develop, and maintain AI/ML-driven features within HP Wolf Security products.
</li><li>Develop high-performance C++ components that integrate machine learning models into endpoint security solutions.
</li><li>Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms.
</li><li>Optimise model inference, performance, scalability, and resource utilisation on endpoint devices.
</li><li>Develop data processing, evaluation, and automation tools using Python.
</li><li>Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities.
</li><li>Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices.
</li>Evaluate emerging AI technologies and contribute to future product innovation. 
<li>
</li></ul> 
<h2 class="jobSectionHeader">Requirements for the C++ AI/ML Software Engineer
</h2><ul><li>Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation.
</li><li>Experience developing and deploying machine learning or AI-based software solutions.
</li><li>Excellent analytical, problem-solving, and software engineering skills.
</li><li>Experience working with Python for machine learning workflows, automation, or tooling.
</li><li>Understanding of software development lifecycle, testing methodologies, and version control systems.
</li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. 
<li>
</li></ul> 
<h2 class="jobSectionHeader">A Great C++ AI/ML Software Engineer Will Have Exposure To The Following:
</h2><ul><li>Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar.
</li><li>AI model deployment, optimisation, and inference in production environments.
</li><li>Data processing, feature engineering, and model evaluation techniques.
</li><li>Security, cybersecurity, or threat detection applications of AI/ML.
</li><li>Large Language Models (LLMs), Generative AI, or AI-assisted security technologies.
</li><li>High-performance, multi-threaded, or systems-level C++ development.
</li><li>Cloud-based AI/ML services and MLOps practices.
</li>Linux and Windows platform development. 
<li>
</li></ul> 
Location &amp; working model
This role is based in HP&rsquo;s Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people‑focused senior role, regular in‑person collaboration is encouraged.
HP has invested in a new, modern site, including ergonomic workspaces and well stocked kitchen facilities that included a wide selection of coffee. 
About you:
You&rsquo;re out to reimagine and reinvent what&rsquo;s possible- in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what&rsquo;s next. We&rsquo;re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. 
Why join HP Wolf Security
HP Wolf Security is central to HP&rsquo;s strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built‑in, enterprise‑grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. 
The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers devices and data. The digital threat landscape is ever-changing and as the cyber security industry reacts and adapts to changes, so too do the malware authors. Our unique micro-virtualization technology ensures that customers are protected from even the most bleeding edge cyber security threats. That micro-virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. 
Our history:
Inspired by the isolation principles of traditional virtualization, our team known then as Bromium, created a game-changing technology called micro-virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro-VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero-day malware.
Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security.
For more information, visit our website: https://www.hp.com/uk-en/security/endpoint-security-solutions.html 
#LIpost
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United Kingdom)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP&rsquo;s EEO Policy or read about your rights as an applicant under the law here: &ldquo; Know Your Rights: Workplace Discrimination is Illegal &quot;</div>

C++ AI/ML Software Engineer

CommonAI C.I.C.

<div>CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
The Opportunity
We are seeking a Senior Software Engineer with a passion for open-source AI infrastructure to work on deploying, extending and optimising vLLM (and potentially other inference serving engines) to support our projects. You will play a crucial, high-impact role across both our key programmes, the Scaling Inference Lab (https://scalinginference.org) and the High Assurance programme.
As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development.
What You'll Do<ul><li>
Deploy, instrument and monitor open weight models served using vLLM.</li><li>
Implement new features within vLLM to support novel hardware architectures as part of the Scaling Inference Lab.</li><li>
Work with the Panopticon team to identify opportunities to extend vLLM to enhance accuracy, explainability, and accountability when using it to serve models in regulated environments.</li><li>
Actively collaborate with the open-source vLLM community to propose, review, and upstream core changes.</li><li>
Troubleshoot, profile, and optimise inference performance, focusing on latency, throughput, and hardware utilisation.</li></ul> 

Requirements 
<ul><li>
Proven experience working as a Senior Software Engineer with deep expertise in both Python and low-level programming (e.g. C/C++, Rust, assembly or CUDA).</li><li>
A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray).</li><li>
Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation).</li><li>
Experience interacting with, and upstreaming code to, active open-source communities.</li><li>
Hands-on experience working on performance optimisation for hardware accelerators (GPUs, TPUs, CPU vector units or other accelerators).</li><li>
A strong enthusiasm for using LLMs, coding assistants, and agents as core tools in your own software development process.</li></ul>
We also value:<ul><li>
Experience working on software systems that operate in highly regulated or high-assurance environments (e.g. financial services).</li><li>
An understanding of the latest AI safety research and active involvement in that community.</li><li>
Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments.</li></ul> 

Benefits 
<ul><li>
A collaborative and supportive work environment</li><li>
The opportunity to have a high impact in a growing organisation</li><li>
Competitive salary package and pension</li><li>
Professional development opportunities</li><li>
Networking opportunities with influential people from across the tech sector, financial services, and academia</li><li>
A vibrant office environment located a few minutes' walk away from Cambridge train station</li></ul>
CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.</div>

Senior Software Engineer (vLLM)

Graphcore

<div><h3 class="jobSectionHeader">About the job</h3>

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.

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.
<h3 class="jobSectionHeader">
The team and culture</h3>

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.

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.

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.
<h3 class="jobSectionHeader">
What we're looking for</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">
Benefits</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.

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.
<h3 class="jobSectionHeader">
Join the team at Graphcore</h3> 

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.

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.

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.

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.</div>

Senior Software Engineer (ML QA)

CommonAI CIC

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

Foundation Model Engineer

<div><h3 class="jobSectionHeader">About the job</h3>

Validate the ML stack that turns accelerator hardware into trusted AI performance.

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.

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.

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.

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.
<h3 class="jobSectionHeader">
The team and culture</h3>

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.

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.

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.
<h3 class="jobSectionHeader">
What we're looking for</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">
Benefits</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.

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.
<h3 class="jobSectionHeader">
Join the Team at Graphcore</h3>

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.

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.

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.

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.</div>

Staff Engineer (ML Engineer)

CuspAI

<div>
 
 About CuspAI
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 We&rsquo;re on the cusp of the on-demand materials era. Join us.
 
 
 
 
 The Role
 
 
 
 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.
 
 
 
 Your Impact
 
 
 
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 
 orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 
 ,
 
 and driving experimental campaigns
 
 to find breakthrough materials faster than ever before.
 
 
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 
 
 
 What You Will Do
 
 
 
 
 Agentic systems
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Experimental design
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Interdisciplinary Collaboration
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Must Have Skills and Qualifications:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Bonus Points (But Not Critical):
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Additional Considerations
 
 
 
 This role could be based in our
 
 Cambridge, London, Amsterdam or Berlin offices
 
 , with the expectation of being
 
 in the office three days per week
 
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 What we offer
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 
 CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 
 . 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.
 
 
 
 We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
 
 
 
 
 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.
 
 
 
</div>

Applied AI/ML Engineer (Agents/RL)

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

Explore 45+ C ai ml software engineer in Cambridge this July. Find roles across top companies and apply now to boost your career.