Senior Machine Learning Engineer - Personalization

Are you ready to elevate your career? At Almedia, we provide an unparalleled platform for ambitious professionals to thrive and advance at an accelerated pace. We are on a mission to establish ourselves as Germany’s premier bootstrapped unicorn and have already achieved the status of Europe’s third fastest-growing company as per the FT1000 in 2025.We're revolutionizing marketing by creating a unique ecosystem where our community of over 60 million users is rewarded for engaging with top-tier advertisers' products. This innovative approach is redefining user acquisition for the world's leading brands.Position Overview: Director of Machine LearningWe are seeking a dynamic Director of Machine Learning who possesses the ability to build innovative solutions from the ground up, delve deeply into technical aspects, and cultivate a robust, high-performing team. This is a hands-on leadership role where your expertise will be critical.Key ResponsibilitiesLead the entire ML roadmap, from identifying problems to implementing solutions in production environments.Design, develop, and deploy recommendation systems and other essential ML products.Engage in hands-on development: prototype, code, and iterate rapidly.Recruit and nurture a high-ownership ML team.Elevate technical standards across architecture, reviews, and strategic initiatives.QualificationsExtensive background in ML engineering with experience in scalable production systems.Proven experience in recommender systems, pricing strategies, advertising technologies, or related fields.Demonstrated ability to build new ML products or teams from zero to one.A strong track record of success within fast-paced, high-ownership startup environments.Why Choose Almedia?Join a scaling startup: Make a significant impact and grow with a company that has been profitable since its inception.Thriving Environment: We empower our staff to take ownership of projects, constantly striving to elevate performance.Rewarding Excellence: We offer a generous bonus scheme to recognize and reward proactive contributions.At Almedia, we are committed to nurturing talent, assessing diverse skill levels during recruitment, and providing clear pathways for professional growth. We are an equal opportunity employer and celebrate diversity, inviting individuals from all backgrounds to apply.

Veeva Systems Inc. is dedicated to revolutionizing the life sciences sector through innovative cloud solutions, empowering companies to expedite the delivery of therapies to patients. As a trailblazer in the SaaS industry, we achieved over $2 billion in revenue last fiscal year, with vast growth opportunities on the horizon.Our core values, including Doing the Right Thing, Customer Success, Employee Success, and Speed, define our work culture. In 2021, we made history by becoming a public benefit corporation (PBC), which reflects our commitment to balancing the interests of all stakeholders.As a Work Anywhere organization, we foster a flexible work environment that allows you to choose the setting where you work best, whether that is from home or in the office.Join us in transforming the life sciences industry, and making a meaningful impact on our customers, employees, and communities.The RoleIn the Veeva Link team, we are constructing the intelligence framework for the life sciences sector, developing connected data applications that accelerate drug development and improve patient outcomes significantly. Our philosophy is simple: the combination of top-quality data and advanced software drives immense value.Our focus on execution emphasizes speed, accuracy, and quality in our daily endeavors. We apply a well-defined engineering approach to create clear product specifications, leading to precise technical designs. Utilizing a modern tech stack, we deliver inherently reliable applications along with an exceptional user experience.Our work encompasses two essential domains:Data-Driven InsightsWe create advanced applications that map and analyze global scientific and medical expertise, yielding high-impact insights and AI-driven intelligence. Our engineers tackle intricate data modeling, entity resolution, and cutting-edge machine learning challenges.Intelligent Business Workflows

Why Choose a Career in Technology at loveholidays?At loveholidays, we are dedicated to pioneering new paths in travel. Our mission is to make the world accessible to everyone by providing our customers with unlimited options, unparalleled convenience, and exceptional value for their next holiday. Our technology team is the cornerstone of our commitment to becoming our customers' personal holiday expert—the intelligent way to travel.Technology at loveholidays drives our ambition to be the world leader in packaged holidays. We are committed to fostering innovation and technical excellence to secure our future. With systems processing trillions of holiday offers daily and deploying thousands of times each month, we are equipped to handle countless requests per second. Here, you will have the opportunity to accelerate your career by tackling intricate challenges and expanding your skill set.Join us in shaping our future and making a meaningful impact. Take ownership of your success and contribute to our collective objectives. We engage in active discussions about technology and adhere to our foundational technology principles that have propelled us this far. As we continue to grow, we have ambitious plans to expand across Europe, attracting the top talent and technology to facilitate this journey.About Our Team:Our data science team, currently comprised of six talented data scientists, collaborates across the organization to implement machine learning solutions that help us realize our goal of becoming the global leader in packaged holidays. This team is pivotal in creating value for our customers, suppliers, and loveholidays through the application of advanced machine learning techniques.Your Impact:In this role, reporting directly to the VP of Data, you will lead the Data Science function, embedding intelligence at the core of our growth strategy. You will define and drive the contributions of Data Science to critical commercial metrics, including conversion rates, pricing strategies, customer acquisition efficiency, and experimentation speed. Your influence will guide our investments in Machine Learning and AI, ensuring these investments yield significant competitive advantages.Collaborating with Product and Commercial leadership, you will identify the most impactful opportunities for machine learning and oversee their execution from start to finish.You will ensure our systems are production-ready, scalable, and aligned with our engineering standards, transforming insights into actionable strategies.

Location: Hybrid in London, United Kingdom Role Overview iwoca is seeking a Director of Data Science & Artificial Intelligence to lead its data science division. This leadership role involves managing a skilled team focused on building probabilistic and statistical models that drive real-time lending decisions. The position also plays a central part in integrating AI across the company, setting the direction for how AI enhances capabilities both within and beyond the data science team. About iwoca iwoca supports small businesses with financing that matches their changing needs. By combining technology, data science, and a customer-first approach, iwoca has delivered over £4 billion in funding to more than 100,000 businesses. The company’s goal is to empower one million SMEs, helping them grow and strengthen their communities and local economies. Team Focus The data science team creates models that directly impact lending decisions, forecasting, and commercial strategies. Their work is implemented in production code and has a tangible effect on business outcomes. Collaboration is key, with close partnerships across engineering, product, and commercial teams. The Director will lead initiatives to embed AI into these processes and drive further innovation. What You Will Do Define and shape the operating structure of a technically strong data science team Guide the adoption of AI across the business, identifying where it can boost productivity or accelerate processes Evaluate the suitability of AI tools and approaches for different business needs Challenge assumptions and recommend when alternative solutions may be more effective than AI Apply deep knowledge of modeling to determine the best use of AI and data science for business impact

1211 - Director of Data Science - DTAAbout WPP MediaWPP is the creative transformation company, leveraging creativity to forge better futures for individuals, communities, and the planet. Discover more at wpp.com.WPP Media, as part of WPP, serves as our global media collective. In a landscape where media is omnipresent, we unite premier platforms, talent, and partnerships to create boundless growth opportunities. For further information, visit wppmedia.com.About Choreograph: A Leading WPP Media BrandChoreograph is WPP’s global data products and technology powerhouse. Our mission is to revolutionize marketing through the creation of the fastest, most interconnected data platform that links marketing strategies with large-scale activations.By integrating technology, data, and analytical prowess, we work alongside agencies and clients to unlock the full potential of data. This is achieved through our Open Media Studio, an AI-powered media and data platform tailored for the next generation of advertising.Our team is fueled by curiosity, comprised of over 1,000 innovators, thinkers, and problem-solvers spread across 20 global markets.Role Summary and ImpactThe Director of Data Science plays a pivotal leadership role within a broader team focused on the deployment and development of predictive models for our clients. You will lead and mentor a talented team, collaborating closely with senior experts from Google Cloud and Google Marketing to apply advanced modeling methodologies that enhance our customers' media and marketing solutions. As the Team Lead, you will be responsible for steering the team in the creation of industry-relevant predictive models aimed at optimizing our clients' media investments.This role emphasizes the leadership of analytical solutions derived from machine learning and statistical predictive algorithms, leveraging the Google technology stack and agent development for our customers. We seek a Team Lead with extensive experience in algorithmic data analysis, a proven track record of scientific research, and a history of spearheading successful data science initiatives.

About WheelyWheely is at the forefront of revolutionizing premium transportation across major cities in Europe, the US, and the Middle East. We integrate advanced technology with the art of five-star chauffeuring, providing an experience trusted by over 100,000 active riders and 1,200 corporate partners.As a profitable and rapidly growing scale-up, we have raised $43M and generated over $100M in annual revenue. With our recent expansion into New York City, we are accelerating our growth across the US and EMEA. If you are passionate about your craft and eager to help shape the next phase of our journey, we invite you to connect with us.We are looking for mid-level and senior Data Scientists / Machine Learning Engineers who will take ownership of the entire workflow, from ideation and research to production deployment.Join one of our specialized teams (Mapping, Matching, Pricing, or Supply) to tackle complex and high-impact challenges such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.

Join Trainline as the Head of Machine Learning Engineering, where you'll lead our innovative machine learning initiatives. In this pivotal role, you will spearhead the development and implementation of advanced ML solutions that enhance our customer experience and optimize our operations.

Join Faculty as a Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms and models that drive impactful solutions across various industries.As a part of our dynamic team, you will work collaboratively to transform complex data sets into actionable insights, optimizing our products and enhancing client offerings. If you are passionate about technology and eager to make a difference, we would love to hear from you!

Join datatonic as a Senior Machine Learning Engineer and be a pivotal part of our innovative team focused on transforming data into actionable insights. In this role, you will leverage your expertise in machine learning to develop and enhance algorithms, contribute to data-driven solutions, and collaborate with cross-functional teams to push the boundaries of data analytics.

Intercom is an innovative AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our state-of-the-art AI agent, Fin, is recognized as the leading customer service AI solution available. It enables businesses to provide consistent, high-quality customer service, thereby enhancing their overall customer experience. Fin can seamlessly integrate with our Helpdesk to form the comprehensive Intercom Customer Service Suite, which offers AI-enhanced support for more complex queries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the customer service landscape. Guided by our core values, we continuously challenge the status quo, act with urgency, and strive to deliver remarkable value to our clients.What is the Opportunity?Our Machine Learning team at Intercom is pivotal in identifying and developing new ML features, exploring suitable algorithms and technologies, and swiftly delivering initial prototypes to our customers.We are a highly product-focused team, collaborating closely with our Product and Design partners. The dedicated ML product engineers on our team enable us to expedite our transition to production, often launching beta versions just weeks after successful offline testing.We are deeply passionate about harnessing machine learning technology, having productized a range from traditional supervised models to state-of-the-art unsupervised clustering algorithms and innovative applications of transformer neural networks. We rigorously test and evaluate the tangible customer impact of each model we deploy.What Will I Be Doing?Actively participate in recruitment, mentoring, and career development initiatives for fellow engineers.Elevate technical standards, performance metrics, reliability, and operational excellence.Pinpoint opportunities where ML can deliver significant value to our customers.Collaborate with team members and Product and Design stakeholders to define the appropriate ML framework for product challenges.Conduct exploratory data analysis and research to gain a deep understanding of the problem domain.Investigate and select suitable algorithms and tools, balancing practicality with cutting-edge innovation where necessary.Execute offline evaluations to validate algorithm efficacy.Collaborate with engineers to transition prototypes to production.Plan, measure, and disseminate insights to guide iterative improvements.

Join Almedia as a Machine Learning Engineer, where you'll be at the forefront of innovation in artificial intelligence and machine learning technologies. Your role will involve designing and implementing machine learning models to solve complex real-world problems. Collaborate with a talented team of engineers and data scientists to enhance our products and services through cutting-edge algorithms and data-driven solutions.

At Intercom, we are revolutionizing customer service through artificial intelligence, empowering businesses to deliver outstanding customer experiences.Our AI agent, Fin, stands as the most sophisticated customer service AI agent available, allowing companies to provide continuous, flawless customer support, ultimately enhancing customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite—a comprehensive solution that offers AI-augmented assistance for more complex or high-touch inquiries that necessitate human intervention.Since our inception in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide and is setting a new benchmark in customer service. Guided by our core values, we consistently push boundaries, work with speed and intensity, and deliver exceptional value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is tasked with defining innovative ML features, researching suitable algorithms and technologies, and quickly delivering initial prototypes to our customers.Our team is deeply product-focused, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions just weeks after successful offline testing.We are passionate about harnessing machine learning technology, having productized everything from traditional supervised models to cutting-edge unsupervised clustering algorithms and novel transformer neural network applications. We rigorously evaluate the real customer impact of each model we deploy.What Will I Be Doing?Identifying opportunities where machine learning can add value for our customers.Defining the appropriate ML framing for product challenges.Collaborating with teammates and stakeholders from Product and Design.Conducting exploratory data analysis and research.Gaining a deep understanding of the problem areas.Researching and selecting the most suitable algorithms and tools.Being pragmatic while pushing the boundaries of innovation when necessary.Performing offline evaluations to validate algorithm effectiveness.Working alongside engineers to transition prototypes into production.Planning, measuring, and sharing insights to guide iterative development.Collaborating closely with the team and others to create exceptional ML products.

Role overview ASOS seeks a Senior Machine Learning Engineer to advance its recommendation systems. This team develops and enhances algorithms that deliver personalized product suggestions to a large customer base. What you will do Design, implement, and improve machine learning models focused on recommendations Collaborate with data scientists, software engineers, and product managers to create solutions that boost user engagement Work on algorithms that make shopping experiences more relevant and rewarding for ASOS customers Location This role is based in London.

We are seeking a highly skilled and innovative Principal Machine Learning Engineer to join our dynamic team at Faculty. In this role, you will lead the design and development of advanced machine learning models and solutions to address complex challenges. You will collaborate with cross-functional teams, leveraging your expertise to drive impactful projects that shape the future of our technology.

We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team at Faculty. In this role, you will be responsible for developing and implementing cutting-edge machine learning models and solutions that drive our projects forward. You will collaborate closely with data scientists and analysts to transform complex datasets into actionable insights and scalable solutions.Your expertise will play a crucial role in enhancing our products and services, and you will have the opportunity to work on exciting projects that challenge the status quo. If you are passionate about machine learning and eager to make a significant impact, we want to hear from you!

Join our dynamic team as a Lead Machine Learning Engineer at Faculty, where you will spearhead innovative machine learning projects that drive impactful solutions. You will collaborate closely with cross-functional teams to design, develop, and deploy cutting-edge machine learning models that enhance decision-making processes. Your expertise will guide our data-driven initiatives, ensuring we remain at the forefront of technological advancement.

Spotify is hiring a Director of Machine Learning Engineering to guide the Surfaces Foundation team in London. This leadership role centers on driving the development and improvement of machine learning models that shape user experiences throughout the Spotify platform. Role overview This position involves managing a skilled engineering group dedicated to building and refining machine learning solutions. The work directly supports Spotify’s goal of delivering a more personalized and efficient platform for listeners. Key responsibilities Set the strategic direction for machine learning projects within the Surfaces Foundation team Oversee the design and deployment of new ML models to enhance user experiences Ensure successful implementation of advanced machine learning technologies across the platform Location This role is based in London.

Data Science ManagerAt Deliveroo, we are committed to revolutionizing the way people shop and dine. Our mission is driven by a culture of impact, innovation, and growth. The Data Science team is pivotal to our operations, facilitating insightful decision-making for our product, commercial, and operational teams through advanced experimentation, causal inference, and cutting-edge machine learning techniques.We are excited to expand our team by hiring multiple Data Science Managers across various business domains. Instead of slotting you into a predefined role, our recruitment process aims to uncover your unique strengths and interests, enabling us to match you with a position that aligns perfectly with your skills and aspirations.Your ResponsibilitiesAs a Data Science Manager, you will lead the analytical strategy and drive measurable outcomes for a specific product or business area while mentoring a high-performing team of data scientists or machine learning engineers. Your responsibilities will include:Designing and implementing experimentation and causal inference frameworks to enhance customer retention, loyalty, and subscription growth.Spearheading pricing, promotions, and value strategies that balance growth with profitability and long-term customer trust.Creating machine learning or optimization models to enhance delivery logistics, rider pricing, or marketplace efficiency.Enhancing discovery, search, or personalization through rapid iteration on impactful algorithms.Driving customer acquisition and engagement across restaurants, retail, or new verticals using data-driven targeting and incentives.In all roles, you will remain actively engaged while managing your team. You will identify significant problems worth addressing and ensure that data science efforts translate into actionable insights for improved product and commercial strategies. Collaboration with Product, Engineering, Operations, Marketing, and Finance will be essential as you set the standard for analytical rigor, prioritization, and impact amidst complex metrics and stakeholder opinions.Your QualificationsThe ideal candidate will possess strong expertise in some of the following areas while demonstrating a desire to grow in others:Proven experience in managing data scientists or machine learning engineers and facilitating their professional development.A substantial background as a senior individual contributor, with practical experience in experimentation, causal inference, or applied machine learning.Demonstrated skill in identifying high-impact opportunities and transforming them into actionable strategies.

Role overview Utility Warehouse is hiring a Senior Machine Learning Engineer in London. This role focuses on building and deploying machine learning models that support business goals and improve customer interactions. The position involves close collaboration with colleagues from different teams to deliver practical solutions. What you will do Design, develop, and implement machine learning algorithms Analyze data to identify patterns and opportunities for automation Work with software engineers and other stakeholders to integrate models into production systems Support decision-making by delivering insights from data-driven models