ai engineer

senior software engineer

full stack engineer

software engineer

lead software engineer

senior stack engineer

in-tech group Ltd

About the JobAt in-tech, we are working to make mobility more sustainable and more intelligent.As a specialist in electronics and software for the past 20 years, in-tech develops innovative solutions for the automotive sector.A dynamic and fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 08 countries.We are looking for Sr Java Full stack Engineer with strong expertise in Java, Spring Boot, React, and AWS, along with experience building AI/agentic solutions. This role requires someone with strong ownership, technical leadership, and the ability to drive projects end-to-end and work in the client location in London at Hybrid basis.Key Responsibilities<ul><li>Lead the design, development, and delivery of scalable full-stack applications using Java, Spring Boot, React, and AWS.</li><li>Own the complete software lifecycle &mdash; from architecture and development to deployment, monitoring, and continuous improvement.</li><li>Build and integrate AI-powered solutions, including LLM-based workflows, autonomous agents, copilots, and orchestration frameworks.</li><li>Design secure, resilient, and high-performance cloud-native systems on AWS.</li><li>Collaborate closely with product managers, designers, architects, and engineering teams to translate business requirements into technical solutions.</li><li>Drive technical best practices, code quality, engineering standards, and system reliability.</li><li>Mentor engineers and contribute to a strong culture of collaboration, accountability, and continuous learning.</li><li>Proactively identify technical risks, bottlenecks, and opportunities for optimization.</li><li>Participate in architectural discussions, technical planning, and strategic technology decisions.</li><li>Implement CI/CD pipelines, observability, testing strategies, and DevOps best practices.</li><li>Stay current with emerging AI technologies, agent frameworks, and modern engineering trends.</li></ul>Required Skills &amp; Qualifications<ul><li>7 - 8 years of software engineering experience with strong full-stack development expertise.</li><li>Strong proficiency in: Java , Spring Boot / Microservices, React.js, REST APIs, AWS cloud services</li><li>Proven experience designing and deploying distributed cloud-native applications.</li><li>Mandatory hands-on experience building AI/LLM-based applications and agentic systems.</li><li>Experience with AI orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.</li><li>Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI integration patterns.</li><li>Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.</li><li>Strong system design and architecture capabilities.</li><li>Ability to independently drive initiatives with end-to-end ownership.</li><li>Excellent problem-solving, communication, and stakeholder management skills.</li><li>Strong collaborator with a proactive, self-driven mindset.</li><li>Willingness to work at client office in London on hybrid basis.</li></ul>Apply with usIf you have the experience, team spirit and are looking for a great place to work, then start your job with us.As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.Application question(s):<ul><li>Notice Period</li><li>Experience with working AI Frame works and Agents?</li><li>Do you require Visa Sponsorship?</li><li>Are you fine to relocate to London?</li></ul>Work Location: Hybrid remote in London

Senior Java Full Stack Engineer (Spring Boot, React, AWS, AI)

<div>We&rsquo;re seeking a future team member for the role of Full Stack Engineer to join our team. This role is located in London.
In this role, you&rsquo;ll make an impact in the following ways:
<ul><li>Design and develop web front-end and back-end services for a new platform built to automate the management of the full lifecycle of complex private assets.
</li><li>Collaborate closely with cross-functional teams, including product owners, business analysts, scrum masters, and engineering.
</li><li>Build front and back end components ensuring software is exceptionally well covered by automated testing and is clean, easy to understand, and extend.
</li><li>Ensure usability, scalability, performance, and resilience of this high-profile platform.
</li><li>Build with Java Spring Boot and Angular Typescript.
</li><li>Ensure an exceptional user experience and seamless integration between front-end and back-end components.
</li><li>Expose clear, documented APIs for external integrations.
</li>Conduct peer code reviews. 
<li>
</li></ul>To be successful in this role, we&rsquo;re seeking the following:
<ul><li>Extensive experience in Java Spring Boot and Angular web development.
</li><li>Strong knowledge of micro-services and micro front-ends.
</li><li>Expertise in reactive UX front-end design patterns.
</li><li>Experience with high availability and high scalability design patterns.
</li><li>Proficiency with GitLab and CI/CD pipelines.
</li><li>Experience working in Agile development environments.
</li><li>Nice to have: Experience working with Solidity &amp; EVM-based platforms.</li></ul></div>

Vice President, Full-Stack Engineer

Zoopla

<div>Who We Are
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches.
Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla&rsquo;s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.
What You&rsquo;ll Do
As a Senior Analytics Engineer in the Data Analytics team, you&rsquo;ll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. 
<ul><li>
Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.</li><li>
Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.</li><li>
Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.</li><li>
Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.</li><li>
Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.</li><li>
Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).</li></ul>
We&rsquo;re looking for someone who:<ul><li>
Has experience setting up &amp; developing dbt architecture using CI/CD practices (essential)</li><li>
Is highly proficient with SQL and data modelling best practices for optimising performance (essential)</li><li>
Has previously worked with visualisation tools such as Tableau or PowerBI (essential)</li><li>
Is confident collaborating and communicating with non-technical stakeholders (essential)</li><li>
Has experience integrating dbt with other tools in the modern data stack (essential)</li><li>
Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential)</li><li>
Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable)</li></ul>
Where You&rsquo;ll Be
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing.
Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you&rsquo;ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 
Benefits 
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</li><li>
Cycle to work and electric car schemes</li><li>
Free Calm App membership</li><li>
Enhanced Parental leave</li><li>
Fertility Treatment Financial Support</li><li>
Group Income Protection and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Senior Analytics Engineer

<div>
 
 
 Why this role exists
 
 
 
 We're hiring the a Founding Backend Engineer at Do Health - a mobile-first preventative health product co-founded by Dr Rangan Chatterjee, built as an independent startup inside Voy.
 
 
 Voy is one of the UK's fastest-growing digital health companies (&pound;300M+ revenue, doubling next year, ~2x YoY growth across men's health, metabolic health, menopause, hormonal health, TRT, dermatology and more). Do Health is its next chapter: the first product designed not to treat illness, but to prevent it.
 
 
 
 
 
 The product combines regular blood tests, longitudinal health data, behaviour-change science and AI personalisation to help people make better lifestyle decisions over time. We already run AI systems in production at a scale very few UK companies match
 
 
 
 
 
 You'd join a 10-person team, partnering directly with our lead engineer on the backend. There's no layer of management between you and the work. What you ship in month one is what users get. This is a rare opportunity to join a setting with a true early-stage startup spirit, yet backed by a major digital healthcare player.
 
 
 
 
 
 
 What you'll actually do
 
 
 <ul>
 <li>
 Own major backend features end-to-end - design, build, ship, monitor, iterate
 </li>
 <li>
 Shape architecture alongside the lead. Real technical decisions, made by you, kept or changed based on what works
 </li>
 <li>
 Scale our blood testing infrastructure across the UK and internationally as we expand.
 </li>
 <li>
 Build production AI systems - personalisation engines that act on longitudinal health data at scale.
 </li>
 <li>
 Improve reliability, observability, and the foundations that everything else depends on as the product grows.
 </li>
 <li>
 Work directly with product, design, and clinical teams. No tickets thrown over walls
 </li>
 </ul>
 
 
 
 
 
 The kind of engineer this works for
 
 
 
 You'll fit if you have:
 
 <ul>
 <li>
 5&ndash;8 years of backend experience with strong fundamentals. We care more about depth than years.
 </li>
 <li>
 Experience at a startup or scale-up where you genuinely owned things.
 </li>
 <li>
 Architectural thinking. You can hold an end-to-end technical conversation about systems you've built &mdash; what trade-offs you made, what broke, what you'd do differently.
 </li>
 <li>
 A track record of shipping reliable systems. Not just features &mdash; the boring infrastructure that keeps them up.
 </li>
 <li>
 Comfort with judgement calls in ambiguous situations. Most decisions here don't have a clear right answer.
 </li>
 <li>
 Confident, responsible use of AI tools in your workflow. Not "vibe coding" - using them as a force multiplier where they help, ignoring them where they don't.
 </li>
 </ul>
 
 Nice-to-have, not required:
 
 <ul>
 <li>
 Strong TypeScript / Node.js experience (it's our primary stack, but we'll happily hire someone excellent in Go, Kotlin, Python or similar)
 </li>
 <li>
 Experience scaling systems to high user volumes
 </li>
 <li>
 Exposure to ML/AI systems in production
 </li>
 <li>
 Healthcare or regulated-industry experience
 </li>
 </ul>
 
 
 
 
 
 Why this might be the right move
 
 
 <ul>
 <li>
 Genuine equity in a product with real upside, not lottery-ticket equity at a company that may never exit
 </li>
 <li>
 Startup velocity with grown-up backing - Voy isn't going anywhere, so you're not betting your mortgage on Series A survival
 </li>
 <li>
 A product that matters. Preventative health is one of the few areas where building software actually changes outcomes, not just engagement metrics.
 </li>
 <li>
 A high technical bar from day one. You're not joining a team that needs convincing to do things properly.
 </li>
 <li>
 Direct access to leadership - your work, your decisions, your name on them.
 </li>
 </ul>
 
 
 
 
 
 Practical details
 
 
 <ul>
 <li>
 Location: London
 </li>
 <li>
 Working pattern: Hybrid, ~3 days per week in person
 </li>
 <li>
 Compensation: Competitive - happy to discuss bands early in the process
 </li>
 <li>
 Process: Intentionally short. Hiring manager interview, technical conversation, team chat. We move fast for the right person.
 </li>
 </ul>
 
 
</div>

Senior Backend Engineer/Founding Engineer

Quantum

<div>Our Company 
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.
Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world&rsquo;s most used digital comparison service, delivering value and simplicity to millions.
We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.
With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We&rsquo;ve helped ambitious brands grow faster, smarter, and globally.
The Role 
We're looking for an experienced Senior AI Engineer to join our team. 
You'll be at the forefront of designing, developing, and deploying AI systems that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies.
Working closely with BI, data engineers, and product teams, you'll help build scalable AI solutions that deliver measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we take pride in applying cutting-edge AI techniques to real-world marketing and advertising challenges. 
Key Responsibilities<ul><li>
Architecture &amp; Multi-Agent Design: Design, build, and deploy scalable multi-agent systems and generative AI features for Mar Tech challenges including ad targeting, user segmentation, and content personalisation.</li><li>
Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI.</li><li>
Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries.</li><li>
Performance &amp; Guardrails: Monitor and optimise multi-agent systems in production, tracking agent-specific metrics including token efficiency, execution loops, and tool-calling accuracy to ensure system reliability.</li><li>
Security &amp; Compliance: Maintain high standards for data security, model explainability, and mitigation of agent-specific risks such as prompt injection and unintended tool execution in compliance with GDPR and CCPA.</li><li>
Mentorship &amp; Best Practices: Support and develop junior engineers and help champion best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure.</li></ul>
About You<ul><li>
Experienced in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex and high-scale environments</li><li>
Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs</li><li>
A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering</li><li>
Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc</li><li>
Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices</li><li>
An understanding of marketing and advertising concepts such as customer lifetime value, attribution modelling, real-time bidding, and audience targeting is a plus</li><li>
Familiarity with data pipeline orchestration tools such as Apache Airflow and Kubernetes is a plus</li><li>
You do your best work as part of a team and enjoy sharing knowledge just as much as gaining it</li><li>
Confident navigating ambiguity and a fast moving environment</li><li>
Excellent written and verbal communication skills</li><li>
Collaborative and grounded, you value the perspectives of others and create space for everyone to contribute</li></ul>
What You&rsquo;ll Get<ul><li>
Private Health Care (Bupa)</li><li>
Hybrid Working (3 days in office)</li><li>
Travel Insurance</li><li>
Competitive Base Salary</li><li>
Company Bonus Scheme</li><li>
Paid for AI Subscription (Claude / ChatGPT / Gemini)</li><li>
Market-Leading Training Programme</li><li>
Recognition &amp; Reward Scheme</li><li>
Annual Company Conference
</li><li>Regular Happy Hours &amp; Team Lunches</li><li>
Free Coffee, Drinks &amp; Snacks</li></ul>
What&rsquo;s the next step? 
 
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. 
 
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.</div>

Senior AI Engineer

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

Lottie

<div>Title: Senior Growth Engineer
Department: Engineering
Salary: &pound;75,000 - &pound;95,000
Benefits &amp; Culture: Lottie&rsquo;s careers page here, Lottie&rsquo;s tech careers page here
Meet our CTPO: Solving hard problems in care
Equity: A very generous EMI share offering.
Holiday: 26 days + bank holidays.
Mission: Elevate later life for everybody and build the care sector of the future.
Office Policy: Hybrid with a two core office days per week.
Office Location: London Bridge, London, UK<h1 class="jobSectionHeader">
The Opportunity:</h1>
Lottie's marketplace connects millions of families with the right care at the right time. We've built something real - now we need to grow it faster, smarter, and with more precision than a traditional engineering team can.
We're looking for a Senior Growth Engineer to join a small, focused Marketplace team and own the full experiment loop - from hypothesis to code to result. You'll work closely with a PM and designer to run high-velocity tests, feed signal back to Google to sharpen our ad performance, and build the lightweight tooling that lets us learn faster than our competitors.
This is a role for someone who ships first, learns fast, and doesn't look back. If you need things to be perfect before they go live, this probably isn't the right fit.<h1 class="jobSectionHeader">
What does this role involve?</h1><ul><li>
Running end-to-end experiments across Lottie's marketplace, from ideation through implementation to result analysis</li><li>
Building and optimising conversion-focused front-end experiences, often with limited design input</li><li>
Writing code that sends performance data back to Google to improve ad targeting and campaign efficiency</li><li>
Automating parts of our Google Ads configuration and campaign management</li><li>
Owning A/B test pipelines and iterating quickly based on real usage data</li><li>
Working autonomously within a lean, fast team</li></ul><h1 class="jobSectionHeader">
What problems will you be solving?</h1><ul><li>
Turning traffic into outcomes. Our marketplace is trusted by half a million families a month. You'll be closing the gap between the families who land on Lottie and the ones who find the right care. Every experiment you run is a chance to make that faster, clearer, and more effective.</li><li>
Making our ad spend smarter. You'll build the pipelines and integrations that help Google understand what a good Lottie outcome looks like, so our campaigns optimise toward the things that actually matter.</li><li>
Moving fast in a space that matters. Care decisions are urgent and emotionally charged. Getting families to the right information faster isn't just a conversion metric. It's a meaningful outcome for real people.</li></ul><h1 class="jobSectionHeader">
We think you&rsquo;ll be a great fit if&hellip;</h1><ul><li>
You have 5+ years of software engineering experience, front-end leaning with genuine full-stack breadth</li><li>
You think in experiments. You can articulate what moved because of your work, not just what you built</li><li>
You're comfortable with throwaway work. When a test fails, you kill it and move on</li><li>
You're autonomous and low-dependency. You thrive with a hypothesis and a deadline, not a detailed spec</li><li>
You're data-driven. You define success before you build, and you look at the numbers before you declare a win</li><li>
AI tools like Claude Code are already a big part of how you work, and you&rsquo;re hungry to get better at them</li></ul>
Sound like you but not quite 100%? Apply anyway - we're looking for potential and passion, not perfect CV match!<h1 class="jobSectionHeader">
This role isn&rsquo;t for you if&hellip;</h1><ul><li>
You prefer depth over breadth and one big build over many small bets</li><li>
You need clearly scoped requirements before you can move</li><li>
You're looking for a team with lots of process and structure around you</li><li>
Our mission to transform later life care doesn't resonate with you</li></ul><h1 class="jobSectionHeader">
Lottie&rsquo;s Interview Process</h1><ul><li>
Intro call with our Talent Lead (20 min, remote)</li><li>
Engineering Manager interview (45 min, remote)</li><li>
Technical assessment: coding pairing session and 2nd session (1h each, remote)</li><li>
Behavioural interview with Hiring Manager (45 mins, remote)</li><li>
Final interview with Will Donnelly, Co-Founder &amp; CEO (30 mins, in person, London Bridge)</li></ul>
Candidate Experience: All candidates will be informed of their application status.<ul><li>
Pre-Screen &amp; First Interview: You'll receive an email notification, but no specific feedback will be provided at this stage.</li><li>
Hiring Manager Interview: If you are unsuccessful after this interview, you will receive constructive feedback via email.</li><li>
Technical Interviews: If you are not successful after these, you'll receive constructive feedback via email and be offered a debrief call with our Talent Lead.</li><li>
Final Interview: For final-stage candidates who are not offered the role, we will provide your feedback live via a phone call.</li></ul><h1 class="jobSectionHeader">
Meet Lottie</h1>
Founded in London in July 2021, Lottie is a fast growth HealthTech start-up aiming to build the world&rsquo;s first SaaS enabled marketplace for care and with a goal of allowing families to seamlessly book care online in a similar manner to reserving a holiday stay via Airbnb or Expedia.
Since launching in July 2021, Lottie has supported millions of care seekers find the right care for loved ones and has raised over &pound;25m from leading venture capital funds including Accel, General Catalyst and Kindred, as well as from well known technology entrepreneurs including Mike Hudack (ex-CPTO of Deliveroo &amp; Monzo) and Tom Blomfield (ex-CEO of Monzo Bank). More recently, Lottie was the acclaimed winner of LinkedIn and Startup.co.uk Top Startup awards.
As of today, Lottie offers four core products and services, including:<ul><li>
Lottie (B2B2C Marketplace) - Free service that helps families find the UK&rsquo;s best care homes and home care services.</li><li>
Found by Lottie (B2B Vertical SaaS) - AI-native OS software supporting care providers to effectively manage their enquiries, occupancy and finances.</li><li>
Seniorcare by Lottie (B2B Vertical SaaS) - Employee benefit helping companies deliver outstanding eldercare support to their employees.</li><li>
Eliza by Lottie (B2B Vertical SaaS) AI agents that handle care home enquiries - so no family goes unanswered. Launch video here.</li></ul><h1 class="jobSectionHeader">
Why Lottie?</h1><ul><li>
Career Opportunity - A rare chance to own the full growth loop with real autonomy and real impact from day one.</li><li>
Early Hire Benefits - Be an early hire at one of the UK&rsquo;s fastest growing startups and benefit from fast career progression, as well as a generous stock options package.</li><li>
Mission - Tech for good that aims to build the care industry of the future and to positively impact millions of peoples lives. Care is one of the final remaining large consumer industries that is yet to be disrupted and positively revolutionised by technology.</li><li>
Investors - Series A backed startup having raised &pound;25m+ from tier 1 venture capital investors including Accel and General Catalyst.</li><li>
Global Opportunity &amp; Scalability - Be part of a company that is solving a real tangible problem that every family around the world faces at some point in their life.</li><li>
People - Join a kind, talented and mission driven team that loves coming to work every day.</li><li>
Culture - Excellent employee compensation/benefits, hybrid office policy and outstanding company culture with a 4.9/5 employee review score on Glassdoor.</li><li>
Award Winning - Acclaimed winner of LinkedIn&rsquo;s 2024 &ldquo;Top Startups&rdquo; and named &ldquo;the UK&rsquo;s number one startup for 2025&rdquo; in Startup.co.uk 100 Index.</li></ul> 
We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
If you require reasonable accommodations during the application or interview process, please let us know at Alice.Rooke@lottie.org
Compensation Range: &pound;75K - &pound;95K</div>

Senior Growth Engineer

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