software engineer

ai engineer

machine learning engineer

senior software engineer

full stack engineer

software engineer mobile

Google

<div>In most instances, this position requires in-person interviews as part of the hiring process.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</li>
<li>1 year of experience with data structures and algorithms.</li>
<li>1 year of experience with Android application development.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience with Kotlin, Integration Testing, Experiment Design, Cross-Functional Collaboration.</li>
<li>User-facing product development experience.</li>
<li>Android/mobile experience preferred.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 
In Google Search, we're reimagining what it means to search for information &ndash; any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Contribute to the development of front-end experiences for the Android Search App by collaborating with cross-functional partners (PM, UX) on team projects.</li>
<li>Implement features, writing high-quality, testable code with guidance and support from senior team members.</li>
<li>Test assigned features across various environments (teamfood, dogfood, production) and assist in triaging product or system issues.</li>
<li>Manage assigned work to meet deadlines, proactively communicating progress and escalating technical challenges.</li>
<li>Leverage AI development tools to optimize daily workflows.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer II, Google Search, Mobile Android

Brave

<div>
 
 
 AI Systems Researcher / Research Engineer
 
 
 
 
 UK: London (Preferred) - Hybrid
 
 
 
 
 
 
 
 About Brave
 
 
 
 Brave is on a mission to protect the human right to privacy online. We&rsquo;ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a
 
 truly
 
 independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month.
 
 
 
 
 
 The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what&rsquo;s true and what&rsquo;s not. Brave is fighting back. Join us!
 
 
 
 
 
 
 Summary
 
 
 
 Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We&rsquo;re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you&rsquo;re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks.
 
 
 
 
 
 
 About you
 
 
 
 An ideal candidate will have a mix of skills that include the following:
 
 <ul>
 <li>
 Demonstrates a high level of initiative and consistently delivers high-quality solutions
 </li>
 <li>
 Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
 </li>
 <li>
 Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
 </li>
 <li>
 Want to be part of a high-growth startup company with global ambitions
 </li>
 <li>
 Experience with software development practices (Python, C++, JavaScript and/or Rust)
 </li>
 <li>
 Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks
 </li>
 <li>
 Comfortable working in an open-source setting
 </li>
 <li>
 Able to create and deploy mobile/desktop applications and systems
 </li>
 <li>
 Has a passion for helping protect users&rsquo; privacy and security
 </li>
 <li>
 A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience
 </li>
 </ul>
 
 
 
 
 
 Specific Skills
 
 
 <ul>
 <li>
 Background and/or previous work in AI systems research and performance evaluation.
 </li>
 <li>
 Expertise in optimizing and evaluating ML models and/or privacy &amp; security technologies for on-device performance.
 </li>
 <li>
 Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.).
 </li>
 </ul>
 
 
 
 
 
 Skills That Will Set You Apart from the Competition
 
 
 <ul>
 <li>
 ML Systems (pipelines, performance evaluation, etc.)
 </li>
 <li>
 Open source projects on mobile/desktop systems optimization
 </li>
 <li>
 Experience with confidential computing and security/privacy protocols
 </li>
 <li>
 Ph.D. in computer science from a top-tier school
 </li>
 <li>
 A strong publication record in premier systems, performance, or ML
 </li>
 <li>
 Work experience in industry is desirable
 </li>
 </ul>
 
 
 
 
 
 Working at Brave - What we offer
 
 
 <ul>
 <li>
 Ability to work at an exciting and well-funded international startup headquartered in San Francisco
 </li>
 <li>
 Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
 </li>
 <li>
 Competitive compensation and plenty of room for personal growth
 </li>
 <li>
 Great international exposure and team atmosphere
 </li>
 </ul>
 
 
 
 
 We are looking to hire in London but would
 
 consider
 
 an exceptional candidate in the rest of Europe.
 
 
 
 
 
 NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.
 
 
 
 
</div>

AI Systems Researcher/Research Engineer

DEEL

<div>Klarna, briefly
At Klarna, we're building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands-on enough that the interesting part of the work lands with you, not someone else &mdash; you'll build with AI, not watch it happen.
This is the stretch zone. Come find out what you're capable of.
About the role
Every payment, login, and stored card in Klarna's iOS and Android apps depends on mobile-specific protections holding up &mdash; sandboxing, permission models, anti-tampering &mdash; and someone has to attack them before someone else does. That's you.
You'll work as an offensive security specialist focused entirely on Klarna's mobile surface. You'll run penetration tests and red-team exercises against the apps, reverse-engineer builds to find what static review misses, and use the OWASP Mobile Application Security Verification Standard (MASVS) and Testing Guide (MASTG) as your working framework rather than a checklist you fill in after the fact.
You'll work closely with the engineering teams who build and harden the apps, turning what you find into fixes that ship, not just findings that sit in a report.
What you'll do
<ul><li>You'll run offensive security assessments &mdash; penetration tests, red-team exercises, and vulnerability research &mdash; against Klarna's iOS and Android apps.
</li><li>You'll reverse-engineer app binaries to surface sandboxing, permission, and platform-security weaknesses before an outside attacker finds them.
</li><li>You'll test Klarna's mobile apps against the OWASP MASVS and MASTG, and use the results to drive concrete fixes with engineering teams.
</li><li>You'll evaluate and stress-test app-hardening and RASP protections, working directly with the teams that build and maintain them.
</li><li>You'll write up what you find in a way engineers can act on immediately, and follow through until it's actually fixed.
</li></ul>Who you are
<ul><li>You've done hands-on offensive mobile security work &mdash; professional pentesting, red teaming, bug bounty, or dedicated security research &mdash; against iOS, Android, or both.
</li><li>You understand mobile internals: app sandboxing, permission models, and the security architectures of iOS and Android.
</li><li>You're fluent with mobile security tooling such as Frida, Objection, MobSF, jadx or apktool, Ghidra or Hopper, Burp Suite, and mitmproxy.
</li><li>You work from the OWASP MASVS and MASTG as your reference framework, not as an afterthought.
</li></ul>Bonus points for
<ul><li>Experience securing fintech, payments, or banking apps.
</li><li>Exposure to app-hardening and RASP solutions, from both the attacker's and defender's side.
</li><li>Published CVEs, research, conference talks, or a track record in mobile bug bounty programs.
</li><li>Experience shipping production mobile code or similar.
</li><li>Familiarity with mobile app attestation (Play Integrity, App Attest) and device-binding schemes.
</li></ul>Things you should know before applying
<ul><li>Working together: we value co-located teams; most teams currently meet in the office 2&ndash;3 days per week, and this varies by team and can change over time.
</li><li>Non-obvious backgrounds are welcome. Diversity of skills, perspectives and backgrounds is how we create, innovate, and disrupt like no other.
</li><li>Final compensation will be based on the candidate's qualifications, skills, and experience.
</li></ul>Please include a CV in English. Concrete beats comprehensive &mdash; what you built, what it did, what it cost.
Curious to learn more about Klarna and what it's like to work here? Explore our career site!</div>

Mobile Application Senior Security Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment.
As a Platform Engineer at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects &ndash; and depending on your strengths and interests, you'll have the opportunity to move between them.
While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique &ndash; and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference &ndash; on us as a company, and on our clients and business partners around the world
Job responsibilities<ul><li>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Develops composable infrastructure systems and capabilities</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Provide operational support for production systems in a &ldquo;you-build-it-you-run-it&rdquo; culture, including incident response and continuous reliability improvements.</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li><li>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li><li>
Adds to team culture of diversity, equity, inclusion, and respect</li><li>
Designs, builds, and operates Kubernetes-based platform services, automates developer self-service and CI/CD, improves reliability and operational readiness, and strengthens platform security and controls via IaC, policy-as-code, and hardening standards.</li><li>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li></ul> 
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Advanced in one or more programming language(s), such as Go, Java or Kotlin
</li><li>Advanced understanding of agile methodologies, CI/CD, application resiliency, and security</li><li>
Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc.</li><li>
Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices 
<li>
</li></ul> 
 
Preferred qualifications, capabilities, and skills<ul><li>
Expertise in the Kubernetes operator pattern</li><li>
Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent</li><li>
Experience with GitOps workflows</li></ul>
#ICBCareer #ICBEngineering
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Lead Software Engineer - Cloud Platform Engineering

Oliver Bernard

<div>
 
 🚀
 
 Staff AI Engineer | Stealth Mode AI Start-up | London | Up to &pound;200k
 
 
 
 
 
 
 Oliver Bernard have partnered with a
 
 stealth-mode start-up in the AI &amp; Research space
 
 , who are looking for a Staff AI Engineer to join the team and work on some genuinely challenging problems across LLMs, reinforcement learning and agentic systems.
 
 
 
 
 
 This is a hands-on research + engineering role, where you&rsquo;ll be involved in:
 
 
 
 
 
 🧠
 
 LLM training &amp; fine-tuning
 
 &ndash; including reinforcement learning and post-training
 
 
 🔄
 
 Evaluation &amp; feedback loops
 
 &ndash; building systems to continuously assess and optimise models
 
 
 🤖
 
 Agent development
 
 &ndash; designing and building sophisticated AI agents
 
 
 🔬
 
 AI research
 
 &ndash; exploring LLM training, RL, evaluation and optimisation techniques
 
 
 💻
 
 Software engineering
 
 &ndash; applying strong engineering fundamentals to complex AI problems
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 
 
 <ul>
 <li>
 Strong experience working with
 
 LLMs and/or foundation models
 
 </li>
 <li>
 Deep experience with
 
 training, fine-tuning, RL or post-training
 
 </li>
 <li>
 Strong background in
 
 model evaluation and optimisation
 
 </li>
 <li>
 Experience building
 
 AI agents / agentic systems
 
 </li>
 <li>
 Excellent software engineering fundamentals
 </li>
 <li>
 A strong track record in
 
 AI research
 
 and solving technically complex problems
 </li>
 </ul>
 
 
 
 
 📍
 
 London &ndash; 2 days hybrid
 
 
 
 💰
 
 Up to &pound;200k
 
 
 
 
 
 
 If you&rsquo;re a
 
 Staff-level AI Engineer
 
 who wants to work at the intersection of
 
 cutting-edge research and production engineering, apply below for more information.
 
 
 
 
 
 
 
 London | Stealth | Staff AI Engineer
 
 
</div>

Staff AI Engineer - Stealth Start-up - London

Findrs

<div>
 
 Forward Deployed Engineer | AI
 
 
 
 
 
 You can write good software.
 
 
 
 
 
 But can you walk into a business, understand a problem that nobody has properly defined yet, work out where AI can genuinely make a difference, and then build the thing?
 
 
 
 
 
 Because that&rsquo;s what this role is really about.
 
 
 
 
 
 You&rsquo;ll join a fast-growing AI engineering company that embeds small technical teams directly inside its clients.
 
 
 
 
 
 You won&rsquo;t spend months working from a perfectly written product specification.
 
 
 
 
 
 Instead, you&rsquo;ll sit close to founders, operators and senior stakeholders, understand how their business actually works, identify where technology can create leverage, and turn ambiguous problems into production AI systems.
 
 
 
 
 
 You&rsquo;ll own the outcome from beginning to end.
 
 
 
 
 
 
 What will you actually be doing?
 
 
 
 
 
 
 You&rsquo;ll act as the technical lead on client projects.
 
 
 
 
 
 That means you could be:
 
 <ul>
 <li>
 Sitting with a founder trying to understand why a critical internal workflow takes three days.
 </li>
 <li>
 Working out whether AI is actually the right answer.
 </li>
 <li>
 Designing the architecture for a new system.
 </li>
 <li>
 Building integrations, evaluations and deployment infrastructure.
 </li>
 <li>
 Shipping an initial version quickly.
 </li>
 <li>
 Watching how real users interact with it.
 </li>
 <li>
 Iterating until it genuinely solves the problem.
 </li>
 </ul>
 
 
 
 
 You&rsquo;ll be expected to move comfortably between engineering and communication.
 
 
 One minute you might be deep in the codebase.
 
 
 
 
 
 The next, you&rsquo;ll be explaining to a non-technical stakeholder what you&rsquo;ve built, why you&rsquo;ve built it that way, and what needs to happen next.
 
 
 
 
 
 You won&rsquo;t simply receive tickets.
 
 
 
 
 
 You&rsquo;ll help decide what the tickets should be.
 
 
 
 
 
 
 This could suit you if&hellip;
 
 
 
 
 
 
 You&rsquo;re an engineer who likes building things more than talking about building things.
 
 
 
 
 
 You&rsquo;re already experimenting with frontier AI models and tooling because you&rsquo;re genuinely curious about what they can do.
 
 
 
 
 
 You understand that models are powerful, but you also understand their limitations.
 
 
 
 
 
 You probably have side projects, prototypes, products or experiments sitting in your GitHub that nobody asked you to build.
 
 
 
 
 
 You enjoy starting with a blank page.
 
 
 
 
 
 You&rsquo;re comfortable making decisions without having every requirement defined for you.
 
 
 
 
 
 And importantly, you can talk to people.
 
 
 
 
 
 You don&rsquo;t need a Product Manager translating every conversation between you and the client.
 
 
 
 
 
 You&rsquo;re happy sitting in a room with founders or senior operators, asking intelligent questions and turning what you hear into something that works.
 
 
 
 
 
 
 Your background
 
 
 
 You&rsquo;ll need a strong grounding in software engineering and be comfortable operating across the full development lifecycle.
 
 
 You might already be an AI Engineer, Software Engineer, Founding Engineer, Solutions Engineer or Forward Deployed Engineer.
 
 
 Your exact title matters less than what you&rsquo;ve actually built.
 
 
 Having created something yourself is a major advantage.
 
 
 
 That could be:
 
 
 <ul>
 <li>
 A startup.
 </li>
 <li>
 A software product.
 </li>
 <li>
 An AI model or application.
 </li>
 <li>
 A consultancy.
 </li>
 <li>
 An open-source project.
 </li>
 <li>
 A side project with real users.
 </li>
 </ul>
 
 
 
 
 What matters is that you know what it feels like to take something from an idea to something people actually use.
 
 
 
 
 
 
 Why join?
 
 
 
 Because you&rsquo;ll get exposure to a range of genuinely difficult AI problems rather than spending years maintaining one narrow product area.
 
 
 
 
 
 You&rsquo;ll work directly with clients.
 
 
 
 
 
 You&rsquo;ll have significant autonomy.
 
 
 
 
 
 You&rsquo;ll ship quickly.
 
 
 
 
 
 And you&rsquo;ll see the systems you build being used in real businesses, rather than disappearing into an endless backlog.
 
 
 
 
 
 This is a remote-first position, although you&rsquo;ll need to be comfortable travelling into London for client meetings and on-site work when required.
 
 
 
 
 
 If you want a role where you&rsquo;re given a tightly defined specification and told exactly what to build, this probably isn&rsquo;t it.
 
 
 
 
 
 If you want to be the person who figures out what should be built in the first place, then builds it, this could be a very good fit.
 
 
 
 
 
 Apply now and tell us about the most interesting thing you&rsquo;ve built.
 
</div>

Forward Deployed Engineer

Annapurna

<div>
 Data &amp; AI Engineer
 
 
 
 Our client is seeking a pragmatic, hands-on Data &amp; AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You'll join our client's team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems.
 
 
 
 Key Skills &amp; Experience
 
 
 <ul>
 <li>
 
 Python software development
 
 - Strong, production-level coding skills to build reliable, maintainable AI services.
 </li>
 <li>
 
 End-to-end software delivery
 
 - Experience designing, building, testing, deploying, and operating production-grade systems.
 </li>
 <li>
 
 AI/LLM application development
 
 - Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools.
 </li>
 <li>
 
 AI system lifecycle
 
 - Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 
 AI evaluation and metrics
 
 - Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
 </li>
 <li>
 
 Working with multiple model providers
 
 - Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints.
 </li>
 <li>
 
 Prompt and agent design
 
 - Experience treating prompts and agent instructions as versioned, testable software artifacts.
 </li>
 <li>
 
 Systems integration
 
 - Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
 </li>
 <li>
 
 Advanced AI techniques
 
 - Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
 </li>
 <li>
 
 Model adaptation foundations
 
 - Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training.
 </li>
 <li>
 
 Business and data understanding
 
 - Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions.
 </li>
 </ul>
</div>

Data & AI Engineer

Explore 130+ Software engineer mobile in London this August. Find roles across top companies and apply now to boost your career.