6,742 Machine Learning Scientist jobs in the United Kingdom

Join the Expedia Group Family!

At Expedia Group, we power global travel for everyone, everywhere. Our mission is to design cutting-edge technology that makes travel smoother and more memorable, while creating groundbreaking solutions for our partners. Join our diverse, vibrant, and welcoming community that drives our success!

Why Join Us?

We believe that to shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs. Here, differences are celebrated, and we know that when one of us wins, we all win.

We offer a comprehensive benefits package that includes:

• Exciting travel perks
• Generous time-off
• Parental leave
• A flexible work model with amazing office spaces
• Career development resources

Join us in building a more open world!

About the Role

We are looking for a Machine Learning Scientist III to join our Search AI team within Expedia Product & Technology. In this role, you will help shape the next generation of ranking systems, working on cutting-edge applications of Large Language Models (LLMs) and Generative AI. Your work will enhance personalization and traveler experience at scale.

Your Responsibilities:

• Research and design innovative ML and GenAI approaches for large-scale ranking and personalization.
• Build, test, and deploy ML models into production, validating performance through online experimentation.
• Collaborate with engineers, analysts, and product partners to deliver robust, scalable, and business-driven solutions.
• Translate complex technical results into clear insights and recommendations for both technical and non-technical audiences.
• Stay current with advances in ML and GenAI to drive innovation within the team.

Minimum Qualifications:

• Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent professional experience.
• 4+ years of applied Machine Learning experience, with models built and maintained in a production environment.
• High proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
• A strong foundation in Machine Learning fundamentals, statistics, and experimentation.

Preferred Qualifications:

• Experience with ranking or recommender systems.
• Experience with recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures.
• Comfortable working with large-scale data and distributed systems (e.g., Spark).
• Effective communication skills and experience working across disciplines to solve complex problems.

Location Expectations

This role is based in London , in alignment with our flexible work model, which requires employees to be in-office at least three days a week. Relocation assistance may be considered for qualified candidates.

Accommodation Requests

If you need assistance with any part of the application or recruiting process due to a disability or other health conditions, please reach out to our Recruiting Accommodations Team.

Why Expedia Group?

We are proud to be recognized as a Best Place to Work on Glassdoor in 2024 and have received accolades for our award-winning culture from organizations like Forbes, TIME, and Disability:IN.

Join us and be part of a family that includes renowned brands like Brand Expedia®, Hotels.com®, Vrbo®, and many more. Together, let’s create unforgettable travel experiences!

Join the Expedia Group Family!

At Expedia Group, we power global travel for everyone, everywhere. Our mission is to design cutting-edge technology that makes travel smoother and more memorable, while creating groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential to our success.

Why Join Us?

To shape the future of travel, we believe that people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs. Here, differences are celebrated, and we know that when one of us wins, we all win.

We offer a comprehensive benefits package that includes:

• Exciting travel perks
• Generous time-off
• Parental leave
• A flexible work model (with some pretty cool offices)
• Career development resources

All of this is designed to fuel your passion for travel and ensure a rewarding career journey. We’re building a more open world—join us!

About the Role

The Search AI team, part of Expedia Product & Technology, is on the lookout for a Machine Learning Scientist III to help shape the next generation of ranking systems. You’ll work on cutting-edge applications of Large Language Models (LLMs) and Generative AI, combining them with proven machine learning techniques to enhance personalization and traveler experience at scale.

Your Responsibilities

In this role, you will:

• Research and design innovative ML and GenAI approaches for large-scale ranking and personalization.
• Build, test, and deploy ML models into production, validating performance through online experimentation.
• Collaborate with engineers, analysts, and product partners to deliver robust, scalable, and business-driven solutions.
• Translate complex technical results into clear insights and recommendations for both technical and non-technical audiences.
• Stay current with advances in ML and GenAI to drive innovation within the team.

Minimum Qualifications

• Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent professional experience.
• 4+ years of applied Machine Learning experience, with models built and maintained in a production environment.
• High proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
• A strong foundation in Machine Learning fundamentals, statistics, and experimentation.

Preferred Qualifications

• Experience with ranking or recommender systems.
• Experience with recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures.
• Comfortable working with large-scale data and distributed systems (e.g., Spark).
• Effective communication skills and experience working across disciplines to solve complex problems.

Location Expectations

This role is based in London , in alignment with our flexible work model, which requires employees to be in-office at least three days a week. Relocation assistance may be considered for qualified candidates.

Accommodation Requests

If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team.

Why Expedia Group?

We are proud to be named a Best Place to Work on Glassdoor in 2024 and recognized for our award-winning culture by organizations like Forbes, TIME, and Disability:IN.

Join us at Expedia Group, where our family of brands includes:

• Brand Expedia®
• Hotels.com®
• Expedia® Partner Solutions
• Vrbo®
• trivago®
• Orbitz®
• Travelocity®
• Hotwire®
• Wotif®
• ebookers®
• CheapTickets®
• Expedia Group™ Media Solutions
• Expedia Local Expert®
• CarRentals.com™
• Expedia Cruises™

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.

Our client is a world-leading artificial intelligence research lab focused on developing transformative AI solutions for complex scientific challenges. We are actively recruiting a Senior Machine Learning Scientist to join our fully remote, highly collaborative team. In this role, you will spearhead the research, development, and deployment of state-of-the-art machine learning models and algorithms. You will tackle some of the most exciting and challenging problems in areas such as natural language processing, computer vision, and reinforcement learning, contributing to breakthroughs that push the boundaries of AI. As a remote-first organization, we provide a flexible work environment, access to powerful computing resources, and a vibrant online community of world-class researchers.

Responsibilities:

• Design, implement, and evaluate novel machine learning algorithms and models.
• Conduct cutting-edge research in areas such as deep learning, probabilistic modeling, and large-scale optimization.
• Develop and maintain robust machine learning pipelines for training, evaluation, and deployment.
• Collaborate with other researchers and engineers to integrate ML solutions into larger systems and products.
• Analyze and interpret complex datasets to extract insights and inform model development.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior scientists and engineers, and contribute to the team's knowledge sharing.
• Stay current with the latest advancements in machine learning and artificial intelligence.
• Communicate research progress and results effectively to both technical and non-technical stakeholders.
• Contribute to the strategic direction of the AI research roadmap.

Qualifications:

• Ph.D. or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
• 5+ years of hands-on experience in developing and deploying machine learning models.
• Strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
• Proficiency in Python and common data science libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
• Deep understanding of machine learning theory, algorithms, and best practices.
• Experience with distributed training and large-scale ML systems.
• Excellent analytical, problem-solving, and algorithmic thinking skills.
• Strong communication and interpersonal skills, with proven ability to work effectively in a remote, collaborative setting.
• Experience in contributing to open-source ML projects is a plus.

If you are a passionate researcher driven by innovation and eager to solve challenging problems in AI, this is an unparalleled opportunity to contribute to impactful work from anywhere in the world.

Overview

We’re fixing hospitality for good. We’re on a mission to help the hospitality industry double profitability, reduce carbon footprint, and create better working environments for teams. Nory is an all‑knowing restaurant management system that combines real‑time data with AI predictive analytics to help restaurants operate with consistency, certainty and profitability. From food prep to forecasting, Nory puts operators in control of their margins. We’ve grown to a team of 50+ across Ireland, the UK and Spain and we’re scaling fast with a Series A led by Accel.nWe’re now looking for a

Senior Machine Learning Scientist

to join our

Data team . This role is ideal for a senior independent doer who has owned the entire ML lifecycle and is ready to ship production‑grade ML systems from scratch. Please note you must have the right to work in the UK/EU to be considered for this role.nWhat You’ll Be Doing

This is not a research or experimentation role; it’s about building systems that work in the real world and move the needle on customer outcomes and business impact. It is about

building

production ML algorithms that move KPIs .nOwn the full ML lifecycle: from business problem formulation and algorithm design through to deployment, monitoring, and iteration in productionnApply strong classical ML thinking: you are confident in picking the right tool and justifying whynKeep models alive: build monitoring into every deployment (drift detection, retraining, KPI tracking) so models keep delivering value in productionnCollaborate deeply with squads: work alongside product managers, engineers, and designers to define KPIs, design data flows, and embed ML into product featuresnFrame in business terms: focus on outcomes (profitability, efficiency, waste reduction), not just technical metricsnContribute to culture: share learnings, give feedback, and help raise the bar for applied ML at NorynWhat You’ll Bring

Background: Master’s Degree or higher in a STEM subject, with a significant statistics componentnFull Lifecycle Ownership: 4+ years of experience taking ML systems from idea through to production in a commercial setting, independently owning the processnClassical ML theory depth: time‑series forecasting, regression/classification, causal signals, feature engineering, evaluation/monitoring, driftnTechnical Proficiency: Strong Python and ML libraries (Scikit‑learn, Pandas, LightGBM), plus cloud and data tool knowledge (Snowflake, DBT, Omni)nRigour & Impact: Rigorous statistical and experimental thinking with measurable business outcomesnCollaboration: Thrive in collaborative environments, communicate clearly, help improve team outcomesnStartup mindset: Fast, proactive, comfortable with ambiguity and multitasking while delivering real impactnNice‑to‑have

Experience in smaller data teams with high ownership culturenExperience with B2B SaaS productsnExperience with LLMs is a plus, but this role focuses on forecasting, optimisation, and statistical learningnWhat you’ll get in return

Competitive salary depending on experiencenEquity at our Series A valuationn35 days of paid leave per year (including bank holidays)nComprehensive private health insurancenEnhanced parental leave and baby loss supportnLearning & development culture – €1000 personal annual budget + quarterly book budgetn€250 home office workspace budgetnRegular team offsites & socialsnRemote working with co‑working office space in London or DublinnAnd much morenHow We Work

Our vision is to build a better future for the restaurant industry.

One where operators are in control, margins are stronger, and frontline teams can build careers they’re proud of. We move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win – together.nWe serve up impact with a side of profit: prioritise work that delivers real financial results for restaurant partnersnWe prioritise speed of service: move fast, unblock quickly, and deliver with urgencynWe act like owners: own problems, raise the bar, and build better every daynWe win as a crew: grow through feedback, collaboration, and shared winsnInterview Process

15‑minute Initial Chat with Talent and People Partnern40‑minute Hiring Manager Interview with Head of Datan90‑minute live problem‑solving session with a senior data team membern40‑minute Culture Interview with a Head of Design or Productn30‑minute Final Stage with our CEOnWe hire humans. We welcome applicants from all backgrounds, identities, and walks of life. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. Please let us know if you require any adjustments so you can bring your best self to the interview process.nSeniority level

Mid-Senior levelnEmployment type

Full-timenJob function

OthernIndustries: Software DevelopmentnReferrals increase your chances of interviewing at Nory by 2x

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Overview

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and transform their customer experiences for the better. Fin can be combined with our Helpdesk to become the Intercom Customer Service Suite, providing AI-enhanced support for more complex or high-touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.nWhat’s the opportunity?

Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are a product-focused team that works in partnership with Product and Design functions. Our dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We apply machine learning technology across a range of models and product areas, testing and measuring real customer impact of each deployment.nWhat will I be doing?

Identify areas where ML can create value for our customersnIdentify the right ML framing of product problemsnWork with teammates and Product and Design stakeholdersnConduct exploratory data analysis and researchnDeeply understand the problem areanResearch and identify the right algorithms and toolsnBe pragmatic, but innovating right to the cutting-edge when needednPerform offline evaluation to gather evidence an algorithm will worknWork with engineers to bring prototypes to productionnPlan, measure & socialize learnings to inform iterationnPartner deeply with the rest of the team, and others, to build excellent ML productsnWhat skills might I need?

Broad applied machine learning knowledgen3-5 years applied ML experiencenPractical stats knowledge (experiment design, dealing with confounding etc)nStrong communication skills, both within engineering teams and across disciplinesnComfort with ambiguitynTypically have advanced education in ML or related field (e.g. MSc)nScientific thinking skillsnTrack record shipping ML productsnPhD or other experience in a research environmentnDeep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringnStrong stats or math backgroundnBenefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!nCompetitive salary and equity in a fast-growing start-upnWe serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchennPension scheme & match up to 4%nPeace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependentsnFlexible paid time off policynPaid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved onesnIf you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage toonMacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job donenRelocation support for those moving to our officesnIntercom 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.nWorking culture & Equal Opportunity

Intercom has a radically open and accepting culture. We value diversity and are committed to Equal Employment Opportunity. Intercom 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.

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Our client, a globally recognised leader in AI research and development, is looking for a brilliant Senior Machine Learning Scientist with a specialization in Natural Language Processing (NLP) to join their expanding team. This fully remote position offers the unique opportunity to contribute to pioneering work in AI, developing state-of-the-art NLP solutions that address complex challenges. You will be instrumental in designing, implementing, and refining advanced models for applications such as text generation, sentiment analysis, machine translation, and information extraction. The ideal candidate possesses a strong academic background, extensive practical experience, and a passion for pushing the frontiers of AI.

Responsibilities:

• Design, develop, and deploy advanced NLP models and algorithms (e.g., Transformers, LSTMs, BERT, GPT).
• Conduct research into novel NLP techniques and approaches, contributing to the company's intellectual property.
• Process, clean, and analyse large volumes of text data to train and fine-tune models.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into product offerings.
• Evaluate model performance rigorously and iterate on designs to achieve optimal results.
• Stay current with the latest academic research and industry trends in NLP and AI.
• Develop and maintain robust, scalable, and efficient ML pipelines for NLP tasks.
• Mentor junior scientists and engineers, sharing expertise and fostering best practices.
• Contribute to technical documentation, research papers, and presentations.
• Ensure ethical considerations and potential biases in AI models are identified and addressed.

Qualifications:

• Ph.D. or M.S. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong NLP focus.
• 5+ years of hands-on experience in applying ML and NLP techniques to real-world problems.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Proficiency in programming languages like Python and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face).
• Demonstrated experience in building and deploying production-level NLP models.
• Strong understanding of linguistic theories and computational models of language.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and manage complex research projects remotely.
• Strong written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences.
• Experience with large-scale data processing and distributed computing is a plus.

This role is a fully remote opportunity, requiring you to work from your own location within the UK. You will be part of a highly collaborative virtual environment, contributing to cutting-edge AI advancements.

Our client, a groundbreaking innovation lab focused on pioneering AI solutions, is actively seeking a highly motivated and experienced Senior Machine Learning Scientist to join their distributed, remote-first team. This role is ideal for an individual passionate about pushing the boundaries of artificial intelligence and applying cutting-edge ML techniques to solve complex real-world problems. You will be instrumental in designing, developing, and deploying sophisticated machine learning models and algorithms that will drive the next generation of intelligent systems. This is a fully remote position, offering flexibility and the opportunity to collaborate with a globally distributed team of experts.

Responsibilities:

• Design, develop, implement, and evaluate advanced machine learning models and algorithms for various applications, including but not limited to, natural language processing, computer vision, and predictive analytics.
• Conduct research into new ML techniques and technologies, identifying opportunities for innovation and application.
• Collaborate with data engineers and software developers to build robust data pipelines and integrate ML models into production systems.
• Perform data preprocessing, feature engineering, and model optimisation to ensure high performance and scalability.
• Develop and maintain comprehensive documentation for models, algorithms, and experimental results.
• Stay at the forefront of ML research by reading academic papers, attending conferences, and contributing to the scientific community.
• Present complex findings and methodologies clearly to both technical and non-technical stakeholders.
• Mentor junior scientists and contribute to the growth of the ML team's expertise.
• Actively participate in code reviews and contribute to the development of best practices within the engineering team.
• Ensure the ethical development and deployment of AI systems, considering fairness, accountability, and transparency.

Required Qualifications:

• A Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.
• A minimum of 5 years of hands-on experience in developing and deploying machine learning models in a research or industry setting.
• Proficiency in programming languages such as Python, R, or Scala, and extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong understanding of statistical modelling, deep learning, reinforcement learning, and other advanced ML concepts.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Proven ability to translate business problems into machine learning solutions.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote, asynchronous environment.
• Experience with MLOps practices and tools is a significant advantage.
• A portfolio of projects demonstrating expertise in machine learning is highly recommended.

This role requires an individual who thrives in a dynamic, remote setting and is driven by a desire to innovate within the field of artificial intelligence. If you are a leading expert in machine learning looking for a challenging and rewarding remote opportunity, we encourage you to apply.

Job DescriptionnDepop is looking for a versatile Senior Machine Learning Scientist to join our Recommendations team in the UK. As part of the team, you will work alongside a Product Manager, Backend Engineers, and other ML Scientists, playing a key role in building innovative models to power Depop's search engine and ranking across the app.nResponsibilities:

Research, design, and deliver ML solutions to address problems within the search & discovery space, including:nLearning-to-rank modelsnVector search & embedding modelsnetc.nUnderstand requirements from various partners across the business, designing machine learning solutions to solve problems such as:nHow can we surface relevant results for this search?nHow can we show users personalized results in real time?nWhat is the right price for this user?nSet up and conduct large-scale experiments to test hypotheses and drive product development.nKeep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.nParticipate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc.)nQualifications:

Significant experience (3+ years) working as a Machine Learning Scientist, with a proven track record of delivering models to solve industry-scale problems.nExperience with experiment design and conducting A/B tests.nProficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps.nSolid understanding of machine learning concepts, familiarity with frameworks such as scikit-learn, TensorFlow, or PyTorch.nCollaborative and humble team player capable of working with cross-functional teams, including technical and non-technical stakeholders.nPassion for learning new skills and staying up-to-date with ML algorithms.nBonus points:

Experience with Databricks and PySpark.nExperience with deep learning & large language models.nExperience with traditional, semantic, and hybrid search frameworks (e.g., Elasticsearch).nExperience working with AWS or other cloud platforms (GCP/Azure).nAdditional information:

Health & Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidized counseling and coaching, Cycle to Work scheme, Employee Assistance Programme (EAP), Mental Health First Aiders.nWork/Life Balance: 25 days annual leave, option to carry over 5 days, quarterly company-wide day off, impact hours for volunteering, fully paid 4-week sabbatical after 5 years.nFlexible Working: Hybrid model with Flex, Office Based, and Remote options, dog-friendly offices, ability to work abroad for 4 weeks/year in UK tax treaty countries.nFamily Life: 18 weeks paid parental leave, IVF leave, shared parental leave, emergency parent/carer leave.nLearn & Grow: budgets for conferences and subscriptions, mentorship programs.nYour Future: Life Insurance (3x salary), pension matching up to 6%, employee perks like free UK shipping on Depop sales, celebration gifts and rewards.

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Job DescriptionnDepop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team, you will work alongside a Product Manager, Backend Engineers, and other ML Scientists, playing a key role in building innovative models to power Depop's search engine and ranking across the app.nResponsibilities:

Research, design, and deliver ML solutions to address problems within the search & discovery space, such as:nLearning-to-rank modelsnVector search & embedding modelsnetc.nUnderstand requirements from various partners across the business, designing machine learning solutions to solve business problems, such as:nHow can we surface relevant results for this search?nHow can we show users personalized results in real time?nWhat is the right price for this user?nSet up and conduct large-scale experiments to test hypotheses and drive product development.nKeep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.nParticipate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc.)nQualifications

Skills and experiencenSignificant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problems.nExperience with experiment design and conducting A/B tests.nProficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps.nSolid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch.nCollaborative and humble team player with the ability to work with multi-functional teams, including technical and non-technical stakeholders.nPassion for learning new skills and staying up-to-date with ML algorithms.nBonus pointsnExperience with Databricks and PySpark.nExperience with deep learning & large language models.nExperience with traditional, semantic, and hybrid search frameworks (e.g., Elasticsearch).nExperience working with AWS or other cloud platforms (GCP/Azure).nAdditional Information

Health & Mental Wellbeing: PMI and cash plan healthcare, subsidized counseling, cycle to work scheme, Employee Assistance Program, Mental Health First Aiders.nWork/Life Balance: 25 days annual leave, impact hours, paid volunteering leave, sabbatical after 5 years.nFlexible Working: hybrid model with options for Flex, Office Based, and Remote (role-dependent), dog-friendly offices, work abroad options.nFamily Life: Paid parental leave, IVF leave, shared parental leave, emergency parent/carer leave.nLearn + Grow: budgets for conferences and learning, mentorship programs.nYour Future: Life Insurance, pension matching.nDepop Extras: Free shipping on UK sales, milestones celebrations.

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