software engineer

ai engineer

platform engineer

analytics engineer

infrastructure engineer

sales engineer

Zebra Technologies

<div>Overview:
At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer&rsquo;s and partner&rsquo;s needs and solve their challenges.
Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. 
You&rsquo;ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about&mdash;locally and globally.
Come make an impact every day at Zebra.
What We're Looking For:
Zebra Technologies is a Global Leader in enterprise technology, accelerating frontline operations in retail, healthcare, transportation, and manufacturing. As an Inside Sales Engineer, you will partner with our Inside Sales Account Managers to provide crucial technical expertise, developing technology strategy and solutions, and integrating innovative solutions that help our customers work smarter and faster.
 
 
By bridging the gap between physical assets and digital data, we empower organisations to work faster, smarter, and more collaboratively.
Are you looking for an exciting opportunity to be part of a new and expanding team that prioritises your career growth and development?
Join our ambitious, diverse and vibrant team as we build Zebra's European Inside Sales Hub . Zebra's office in London Soho offers an energetic and friendly team-based environment. We are fully office-based (5 days per week) as we perform at our best together.
Responsibilities
<ul><li>Collaborate with the sales team to understand customer requirements and provide technical solutions.
</li><li>Prepare and deliver technical presentations and demonstrations to customers (primarily virtually).
</li><li>Develop and maintain strong relationships with customers and partners.
</li><li>Assist in the preparation of sales proposals, quotes.
</li><li>Provide technical support and guidance to customers throughout the sales process.
</li><li>Stay up to date with industry trends, products, and competitors.
</li><li>Participate in sales meetings and training sessions.
</li><li>Develop and deliver technical onboarding and updates for the Inside Sales team.
</li><li>Stay connected with the Sales Engineers across EMEA.
</li></ul>Qualifications
Required
<ul><li>Bachelor's Degree in Engineering, Computer Science, or a related field.
</li><li>Proficient in English and German Language.
</li><li>Ability to travel to London office 5 days a week (no additional travel required).
</li><li>Proficiency Microsoft Office Suite.
</li><li>Ability to work independently and as part of a team.
</li></ul>Preferred
<ul><li>Previous experience in a B2B sales environment.
</li><li>Strong problem-solving skills and attention to detail.
</li><li>Ability to explain complex technical concepts to non-technical audiences.
</li><li>Excellent communication and interpersonal skills.
</li><li>Knowledge of Android.
</li></ul>Benefits
<ul><li>25 days of vacation
</li><li>Up to 32 hours paid time off per year to volunteer with a charity of your choice
</li><li>Reward &amp; Recognition scheme - earn points to spend online
</li><li>Training and personal development in soft skills and hard skills, access to our internal learning portal and internal career opportunities within Zebra departments
</li><li>Yearly salary increases according to individual performance
</li><li>Employee referral bonus for bringing New Talent to Zebra
</li><li>On Target earnings
</li><li>Pension Scheme with a matched contribution up to 7%
</li><li>Private medical and dental cover
</li><li>Access to an innovative online learning platform
</li><li>Cycle to work scheme
</li><li>Employee Assistance Program
</li></ul>Incentive Compensation:
In addition to base pay, Zebra offers this role an opportunity to earn variable compensation in the form of commission for achieving quota, at 25% , in accordance with the terms of the applicable sales incentive plan.
Job Posting Statement:
To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.
AI Technology Statement:
Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy .</div>

Sales Engineer (German Language)

Intercom

<div><div>Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey &ndash; from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</div><div><h2 class="jobSectionHeader">
What's the opportunity?</h2>

We&rsquo;re seeking a transformational Solutions Engineering leader to lead our SE team within the EMEA region. You&rsquo;ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world&rsquo;s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility.

This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You&rsquo;ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom&rsquo;s AI-first platform &ndash; be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed.
<h2 class="jobSectionHeader">
What will I be doing?</h2>
<ul><li>Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function.</li>
<li>Lead, coach, and scale a high-performing SE team across global regions and core verticals.</li>
<li>Operate as a player-coach, actively engaging in strategic deals while developing team capabilities.</li>
<li>Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise.</li>
<li>Serve as a trusted technical advisor and executive point of contact for large customers.</li>
<li>Partner closely with Sales, Product, Marketing, and R&amp;D to shape verticalized GTM motions and solution strategy.</li>
<li>Champion a customer-obsessed culture across the pre-sales journey &ndash; from outbound to implementation.</li>
<li>Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments.</li>
<li>Build reusable, scalable solution frameworks, and industry-specific technical assets.</li>
<li>Advocate for customer needs and insights internally to influence product roadmap and prioritization.</li>
<li>Represent Intercom and the SE function externally through executive meetings and strategic events.</li>
<li>Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact.</li>
</ul><h2 class="jobSectionHeader">What skills do I need?</h2>
<ul><li>5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role.</li>
<li>Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams.</li>
<li>Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day.</li>
<li>Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues.</li>
<li>Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive.</li>
<li>A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth</li>
<li>Able to travel internationally on average once a month</li>
<li>Ability to flex working hours to partner with teams in US and APAC.</li>
<li>Excellent communication and presentation skills</li>
</ul>
#LI-Hybrid</div><div>
At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. 
 
Learn more about working at Fin and the benefits we offer at fin.ai/careers.

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div></div>

Senior Manager, Solutions Engineering

Databricks

<div>The Role
As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present&mdash;combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.
The Impact You Will Have
<ul><li>Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning</li>
<li>Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins</li>
<li>Own frontline technical relationships with customer engineers, data teams, and technical leads</li>
<li>Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption</li>
<li>Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations</li>
<li>Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community</li>
</ul>What We Look For
<ul><li>4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role</li>
<li>Proficient in Python and PySpark/Spark with demonstrated ability to debug, optimize, and write production-quality code &mdash; live coding is a required interview stage</li>
<li>Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)</li>
<li>Working knowledge of distributed data systems: Apache Spark&trade;, Delta Lake, or equivalent (Hadoop, Kafka, Flink)</li>
<li>Experience leading technical customer conversations &mdash; discovery, whiteboarding, architecture reviews</li>
<li>Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics</li>
<li>Strong presentation and demo skills &mdash; you will build and present a live solution during the interview</li>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)</li> 
</ul> 
Nice to Have:
<ul><li>Databricks certification or experience with the Databricks Platform</li>
<li>Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow</li>
<li>Background at a data/AI company, cloud provider, or technical consulting firm</li>
</ul>Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
<div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide &mdash; including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 &mdash; rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Solutions Engineer

BlueOptima

<div>Company Description 
BlueOptima gives CIOs, CTOs and CFOs objective, code-level visibility into software productivity, AI ROI, and engineering cost. This is a problem that until recently could not be measured at all. With AI-generated code now flowing into enterprise codebases at scale, that measurement gap has become a board-level priority.
10B+ code revisions analysed &middot; 800,000+ developers on platform &middot; 9 of the top 16 universal banks
The business is profitable, bootstrapped, and 20 years deep in enterprise relationships. You are joining a sales organisation that is mid-build. The foundations are in place, the product has genuine enterprise traction, and there is real room to grow fast.
Buyers are CIOs, CTOs, VP Engineering and CFO stakeholders at large software engineering organisations. The conversation is about developer productivity, engineering cost, and AI ROI. These are budget-backed problems that sit at the top of the technology agenda right now. You are not convincing anyone the problem exists. 
Job Description 
You will lead a team of Account Executives working on enterprise accounts across the UK and EMEA, with deal sizes typically in the &pound;100k to &pound;200k ARR range. You will be cultivating a culture of success and continuous improvement through your coaching. Your leadership will guide the team through complex sales cycles and ambitious growth targets.
You will use sales data and team performance metrics to identify opportunities for improvement. Implement actionable insights to enhance sales tactics and team productivity, leveraging coaching frameworks to work side by side with your team members.
You will work in close partnership with Marketing and SDR leadership to identify new pipeline generation opportunities, and with Customer Success leadership to surface expansion opportunities within the install base. 
Qualifications 
Required<ul><li>
Enterprise SaaS sales leadership: At least 3 years managing sales teams closing complex enterprise deals in the &pound;100k to &pound;200k+ ARR range.</li><li>
Engineering domain experience: Direct experience selling into software engineering organisations is required. This means you have sold developer tooling, engineering analytics, observability, SDLC platforms, or similar products and can hold a credible technical conversation with VP Engineering and CTO buyers without leaning on a solutions engineer. You do not need to have been a developer, but you do need to understand how software gets built.</li><li>
Executive-level selling: Comfortable engaging CIO, CTO, VP Engineering and CFO buyers. You can hold the room with credibility and navigate multi-stakeholder deal structures.</li><li>
Hands-on coaching style: Demonstrated ability to develop your team through direct involvement in sales activities, including joint calls and co-selling, to ensure team members reach their potential.</li><li>
Data-driven decision making: Highly analytical, you leverage pipeline and performance data to make informed decisions and adapt quickly to capitalise on new opportunities.</li><li>
Structured sales methodology: Exposure to value-based selling methodologies and the MEDDPICC discovery framework in multi-stakeholder environments.</li></ul>
Valued<ul><li>
Experience with AI products, AI governance, or engineering productivity measurement.</li><li>
Background in land-and-expand motions within large enterprise accounts.</li><li>
Open to using AI to amplify your own skills and strengthen your work, demonstrating curiosity, willingness to learn, and sound judgement in applying AI responsibly to improve efficiency and impact.</li></ul> 

Additional Information 
Why This Role Makes Sense Right Now 
AI governance and engineering ROI measurement have moved from nice-to-have to board priority in the last 18 months. The buyers are funded, the problem is urgent, and BlueOptima is one of the very few companies with a production-grade answer. For a sales leader who wants to work with a team closing real enterprise deals, not chasing SMB volume, the timing is good.
Where This Leads 
The natural progression from this role is into second-line leadership. That path is defined and is based on performance and the growth of the company, not tenure.
Benefits we offer<ul><li>
London HQ, 3 days in office, 2 remote</li><li>
32 days holiday including bank holidays</li><li>
12 weeks paid maternity and paternity leave</li><li>
4 weeks per year flexible remote working from anywhere</li><li>
Annual leave purchase up to 10 extra days</li><li>
Work from home equipment allowance</li><li>
Pet friendly office</li><li>
Sponsored learning opportunities</li><li>
Cycle to work scheme</li><li>
Team socials</li></ul><div></div>
Stay connected with us on LinkedIn or keep an eye on our career page for future opportunities!</div>

Sales Manager, Revenue Generation - EMEA

Autodesk

<div>
 
 Job Requisition ID #
 
 
 
 26WD100236
 
 
 
 Job Description
 
 
 
 
 Position Overview
 
 
 
 The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.
 
 
 As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features. You will operate in a fast-moving, research-driven environment where problems are often not fully defined, requiring strong problem framing and rapid iteration.
 
 
 The team work in a hybrid working model from our offices in London.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate on projects at the intersection of research and product with a diverse, global team
 </li>
 <li>
 Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
 </li>
 <li>
 Work with complex datasets and representations for model training, evaluation, and analysis
 </li>
 <li>
 Analyze errors and provide solutions to problems
 </li>
 <li>
 Present results to collaborators and leadership
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 BSc or MSc in Computer Science, or equivalent industry experience
 </li>
 <li>
 3+ years of machine learning experience
 </li>
 <li>
 Experience working in research or experimental environments with evolving requirements
 </li>
 <li>
 Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
 </li>
 <li>
 Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
 </li>
 <li>
 Experience working with diverse data representations, including 2D and 3D geometry
 </li>
 <li>
 Experience with version control, reproducibility, and deploying machine learning models
 </li>
 <li>
 Experience using modern AI/GenAI tools in development or experimentation workflows
 </li>
 <li>
 Excellent written documentation skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field
 </li>
 <li>
 Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
 </li>
 <li>
 Experience with cloud services and architectures (e.g. AWS, Azure)
 </li>
 <li>
 Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
 </li>
 <li>
 Knowledge of the design, manufacturing, AEC, or media &amp; entertainment industries
 </li>
 <li>
 Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
 
 
 </li>
 </ul>
 
 
 Learn More
 
 
 
 
 
 About Autodesk
 
 
 
 Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
 
 
 We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
 
 
 When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
 
 
 
 Salary transparency
 
 
 
 Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
 
 
 
 Belonging
 
 
 
 We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
 
 
 
 Are you an existing contractor or consultant with Autodesk?
 
 
 
 Please search for open jobs and apply internally (not on this external site).
</div>

Machine Learning Engineer 3D Geometry/ Multi-Modal

Luxoft

<div>
 
 What if you could spend your time building AI solutions that genuinely transform how professionals make decisions?
 
 
 
 
 
 
 We're looking for a Senior Python AI Engineer to help build an innovative Agentic AI platform designed to turn vast amounts of sales and research content into meaningful investment insights. The goal is simple: reduce the time spent preparing for client conversations while dramatically improving the quality of information available to decision makers
 
 
 
 
 
 .
 
 Joining at an early stage of the programme, you'll have the opportunity to influence architecture, engineering standards, and technical direction while working alongside experienced architects, business stakeholders, and AI specialist
 
 
 
 
 
 s.
 
 This is much more than a traditional backend development role. You'll be working with some of the most exciting technologies in the market today, combining modern Python engineering with Large Language Models, AI agents, Retrieval-Augmented Generation (RAG), cloud-native services, and intelligent workflow automati
 
 
 
 
 
 on.
 
 You'll collaborate closely with business teams and product stakeholders to understand real-world challenges and transform them into elegant, scalable solutions. Your work will directly contribute to features that make AI-powered insights more accurate, accessible, and valuable for end us
 
 
 
 
 
 ers.
 
 The environment encourages engineers to think beyond implementation. You'll be trusted to contribute ideas, challenge assumptions, participate in architectural discussions, and help shape how the platform evolves. Whether you're improving retrieval quality, designing robust APIs, integrating LLMs, or refining cloud infrastructure, you'll see the direct impact of your
 
 
 
 
 
 work.
 
 You'll join a collaborative team that values technical excellence, continuous improvement, and knowledge sharing. Engineers are encouraged to contribute to design reviews, improve development practices, identify opportunities for optimisation, and mentor others through strong technical leade
 
 
 
 
 
 rship.
 
 We're looking for someone with a strong foundation in Python development, experience delivering production-grade APIs, and a passion for building reliable software in cloud environments. Experience with AI agents, vector databases, RAG architectures, and modern LLM platforms will enable you to make an immediate
 
 
 
 
 
 impact.
 
 You'll also have the opportunity to deepen your expertise across advanced AI engineering disciplines, including prompt engineering, AI observability, retrieval strategies, model evaluation, cloud-native architectures, and intelligent workflow orches
 
 
 
 
 
 tration.
 
 In return, you'll join a high-profile initiative where innovation is encouraged, technical opinions are valued, and engineers are empowered to solve meaningful business problems using the latest developments in Generative AI. If you're excited about combining strong software engineering principles with next-generation AI capabilities, we'd love to hear
 
 
 
 
 from you.
</div>

Python Developer - Agentic AI & Cloud Platforms

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

Explore 65+ Sales engineer in London this August. Find roles across top companies and apply now to boost your career.