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Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? 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, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Join Expedia Group’s Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. As a Product Manager III, you’ll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: * Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. * Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. * Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. * Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. * Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. * Build deep understanding of data infrastructure and able to source data dictionaries, database schema for wider use * Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements Experience and qualifications: * Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience. * 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. * Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. * Excellent communication skills with the ability to influence cross-functional teams and stakeholders. * Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred * Well-versed in design thinking principles * Great problem solving and analytical skills 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 through the ___. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's 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™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is ___. 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.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • CEFR C1+ or equivalent fluency in German language, • Written and spoken knowledge of English is essential (CEFR C1), • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Note: This position is for part-time employment and is a 12 month fixed term contract. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team operates on a part-time, Monday through Friday schedule, working from our office. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Senior Data Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Data Engineer, Vice President, to join our Investment Management Engineering team. This role is located in London. In this role, you’ll make an impact in the following ways: • Lead the design and development of data pipelines feeding the BNY Investments analytical platform, ensuring high quality and performance., • Provide architectural oversight by designing scalable, secure, and cost-efficient data systems tailored to support BNY’s Investments business needs., • Contribute to the design and development of AI / ML initiatives ongoing in BNY Investments, • Mentor and coach junior and transitioning data engineers to accelerate their development and strengthen the team’s overall capabilities., • Lead production operations by enforcing standards around testing, CI/CD, observability, and documentation to ensure platform reliability and regulatory compliance., • Strong experience of Snowflake Data Cloud, with supporting technologies and tools, including SQL, DBT and Snowpark, • Deep knowledge of Python, with experience using it to build production quality data pipelines and analytical jobs., • Expertise of data warehouse and modelling concepts is essential for designing efficient and effective database structures. Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. A Security Logging Engineer partners with ESRO Cyber Defense Teams to build, customize and distribute Security Log Solutions for on-prem and in the cloud systems. Work alongside the top Google SecOps engineers in the company to ensure our pipelines feeding SecOps are as efficient, reliable and cost effective as possible. ESRO Security Logging Team and ESRO Cyber-Defense teams both utilize the same workload software which produces a seamless workflow, a quicker time-to-deliver, and partnerships that offer focused value. We work with platform owners across the enterprise to provide support and education around the security events their platforms produce. We deliver world-class event pipelines tailored for each owner's platform. Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our London office and telecommuting from a home-based office in a hybrid work model. Primary Responsibilities: • Design & develop log solutions technologies with a key focus on Google SecOps, BindPlane, Beats, LogStash and Kafka, • Build, design and develop new Log Collection systems for on-prem and cloud environments, AWS, Azure & GCP, • Build and support pipeline monitoring and alerting tools like GCP Monitoring and ECE Monitoring as needed, • Respond and troubleshoot platform alerts and high priority incidents and on-call alert pages, • Facilitation of Change Requests (pipeline deployments, upgrades, breakfixes etc...) Required Qualifications: • Bachelor's in Computer Science or similar. or equivalent experience, • Proven experience working within log collection setup and development, • Proven experience with RHEL Linux Server OS, • Experience working with Google SecOps basic search queries, • Experience with BindPlane, LogStash, Kafka, and GitHub Operations, • Proven ability to work on high and low-level designing, • Experience with Cloud Solution designs and setup for AWS, GCP and Azure, • Excellent understanding of Amazon Kinesis Data Streams, • Advanced Experience with RHEL Linux OS Commands, • Proven good communications skills, • Proven good problem-solving attitude All telecommuters will be required to adhere to the UnitedHealth Group’s Telecommuter Policy. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. © 2025 UnitedHealth Group. All rights reserved. #RPO #BBMEMEA

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • CEFR C1+ or equivalent fluency in German language, • Written and spoken knowledge of English is essential (CEFR C1), • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

As a Senior Cloud Infrastructure Engineer, you are recognized as a go-to expert in cloud infrastructure and DevOps, providing guidance, technical leadership, and hands-on expertise to solve unique and complex challenges. You will collaborate on crafting and implementing essential cloud solutions, influencing internal team members, and contributing to the advancement of outstanding industry standards. You will help shape infrastructure strategy, drive innovation, and ensure the scalability, security, and efficiency of cloud operations. Your decisions will have a long-term impact on the organization, influencing policy, technical direction, and business success. Key Responsibilities 1. Visionary Guidance & Technical Influence • Serve as an internal expert, influencing cloud engineering strategy and advocating for best-in-class DevOps practices., • Engages with leadership, validating technical and business decisions related to cloud infrastructure and platform engineering., • Contribute to multi-functional initiatives, ensuring alignment between infrastructure strategy and broader business goals. 2. Cloud Infrastructure Design & Innovation • Engage in the design, collaborating with architecture, and product owners to deliver scalable, secure, and high-performance cloud infrastructure., • Solves complex technical challenges, requiring knowledge of organizational objectives., • Define and implement next-generation automation strategies, eliminating manual interventions and enhancing efficiency, reliability, and security., • Drive the evolution of Infrastructure as Code (IaC) and cloud-native automation frameworks to enable fully autonomous operations. 3. Reliability, Observability & Performance • Establish and oversee advanced observability and monitoring frameworks, ensuring real-time insights, predictive analytics, and system reliability., • Identify hidden performance bottlenecks and proactively optimize cloud environments to meet evolving business demands., • Define and enforce SRE principles, ensuring infrastructure resilience and reducing operational risk., • Develop and implement disaster recovery and business continuity strategies that minimize downtime and ensure long-term stability. 4. Cost Optimization & FinOps Alignment • Collaborate with FinOps teams to implement efficient cloud solutions, ensuring alignment with budgets and performance requirements., • Drive cost governance frameworks, balancing performance, scalability, and financial efficiency. 5. Technical Leadership & Collaboration • Act as a technical mentor and coach, guiding engineers across teams and helping shape future technical leaders., • Define and enforce coding, automation, and cloud security standards, ensuring consistency, efficiency, and compliance., • Develop technical tools and methodologies that enhance efficiency and support business-wide objectives. About You • Business Unit Recognized Expert – Internal authority in cloud engineering., • Visionary & Strategist – Able to conceptualize and implement future-proof cloud solutions that align with business objectives., • Proactive Problem Solver – Tackles complex challenges using conceptual thinking and innovative approaches., • Technical Mentor & Coach – Develops talent, sets high engineering standards, and fosters a culture of innovation., • Business-Aligned Technologist – Engages with business unit leadership, ensuring cloud initiatives support long-term company success. Technical Skills & Experience • Programming & Scripting: Strong proficiency in Python, Golang, Bash (or equivalent)., • Cloud Expertise: Extensive experience with public cloud platforms, preferably Google Cloud Platform (GCP) (AWS and Azure also considered)., • CI/CD & Automation: Advanced expertise in CI/CD methodologies and tools such as Jenkins, ArgoCD, GitHub Actions., • Containerization & Orchestration: Mastery in Kubernetes, Docker, and microservices architectures., • Observability & Monitoring: In-depth experience with OpenTelemetry, Prometheus, Grafana, ELK, and other monitoring tools., • Infrastructure as Code (IaC): Expertise in Terraform, CloudFormation, and configuration management tools., • Security & Compliance: Proficient in DevSecOps principles, cloud security standard methodologies, and governance frameworks., • Experience: 8+ years in high-availability, multi-cloud SaaS environments, with a proven track record of leading complex, business-critical projects. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V * World Leader in Gaming Entertainment * Robust benefits package * Global career opportunities Our Values * All about the Player * Talent Unleashed * Collective Brilliance * Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

We are looking for a CRM Coordinator to join our dynamic team in London. In this role, you will support the planning and execution of campaigns that aim to enhance player engagement, retention, and monetization. You will play a key role in extracting, managing and analysing data, seeking to optimize lifecycle flows, event campaigns and sales. This is a phenomenal opportunity to be part of a friendly and encouraging team within an expert marketing department. What You'll Do * Design, configuration, monitoring, and analysis of campaigns. * Hypothesize and analyse new campaigns under AB testing conditions. * Regularly check critical metrics and report any irregularities. * Using internal tools to configure medium to high complexity CRM events, lifecycles and campaigns. * Perform post-launch checks to monitor campaign performance and iterate improvements. * Perform QA checks to ensure smooth and error-free execution. * Suggest areas for improvement based on data relating to processes, flows, sales and events. * Analyze competitor strategies and market trends to stay ahead of industry trends. To do this successfully we believe you are: * Ability to analyse critical metrics and generate actionable business insights for the game teams, and Product Madness as a whole. * Dedication for understanding data, e.g. easily spotting anomalies without thinking too much about it. What We're Looking For * Experience with Excel and Google sheets. * Experience with SQL, Python and/or R. * Strong attention to detail and excellent organizational skills. * Skilled in analysis, with a passion for numbers and data. * Interested in gaming and the mobile gaming industry. * Open to feedback and thrives under mentorship. * A selfstarter, keen and independent learner, always looking for ways to improve. * Fluent in English. Bonus Skills * Experience with visualization tools like Looker or Tableau. * Experience in setting up and analyzing A/B tests. * Experience working with free-to-play games, social casino titles, or real money gaming. Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Head of Data Entertainment Company London (4 days per week in the office) £120,000 + Benefits This is an exciting opportunity to join a leading entertainment business that is redefining audience engagement across digital and physical experiences. The company is investing heavily in its data capabilities and is looking for an experienced Head of Data to lead the evolution of its data platform, governance, and analytics strategy. The Role As Head of Data, you will own the commercial data strategy and oversee a growing team of engineers and analysts. You’ll be responsible for leading the development of a centralised data platform in Google Cloud Platform, integrating data across ticketing, merchandise, digital, and hospitality channels to create a single source of truth. You’ll partner with senior stakeholders across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities • Implement and evolve the business-wide data strategy aligned with commercial goals., • Lead the design and scaling of the central data platform in GCP., • Oversee governance, compliance, and data quality frameworks., • Standardise reporting and insights delivery through Power BI and Omni., • Deploy predictive analytics models, including CLV and propensity scoring., • Partner with cross-functional teams to enable smarter use of data across digital and physical channels., • Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background • Proven experience leading data teams across engineering, analytics, and BI., • Strong technical understanding of modern data platforms and pipelines., • Skilled in stakeholder management, governance, and cross-functional collaboration., • Experience building predictive models or enabling ML-driven insights., • Background within entertainment, media, or audience-based industries is advantageous.

Senior Analyst - Marketing Mix Modelling £45k London - hybrid DATAHEAD has proudly partnered with this global tech firm, actively supporting the recruitment of Senior Analysts with strong backgrounds in Marketing Mix Modelling! The Analytics & Insight team at this global tech firm is dedicated to fueling every media planning decision with the best data and insights available. Their data-driven approach to media strategy, planning, and activation emphasises accountability and innovation. The team specialises in marketing analytics and is committed to building connections along clients' business journeys. They analyse just under a billion £ of communications spent each year, making them the leading experts in their field. 💼 Overview of the role They are seeking a Senior Analyst to support the Director in the technical aspects of analytics projects. You'll be responsible for data processing and partially lead client modelling, analysis, and reporting. 🌟 3 best things about the job: • Work at the cutting edge of advanced analytics in the media industry., • Be part of a close-knit, supportive team that helps you grow., • Constantly learn and be challenged in a dynamic environment. 📊 Measures of success: • 3 months: Fully immersed in the team's analytics approaches and worked on your first client project., • 6 months: Completed your first client project end-to-end with support from junior team members., • 12 months: Worked across multiple client projects and took on increasing ownership of project elements. 🎯 Responsibilities: • Support the Director in technical aspects of projects., • Handle data processing and begin leading client analysis and reporting., • Present confidently to clients, demonstrating an understanding of their business and concerns., • Integrate analytics across the entire client team in the agency., • Coach and develop junior team members to maximise their potential. 🧠 What you will need: • Experience in Marketing Mix Modelling, • Analytical mindset and problem-solving skills, • Strong mathematical acumen, • Excellent written communication and presentation skills, • Ability to prioritise tasks, • Familiarity with marketing analytics tools and techniques, • Advanced Excel, PowerPoint, and Eviews (or other modelling software) skills, • Knowledge of programming languages (e.g., R, Python) is a plus Please apply!

Principal Marketing Analyst - Insights and Analytics Location: London (Hybrid 2 days per week on site) Salary: 80k - 100k Our Clients ambition is simple. To combine their global know-how with local insight to help clients turn their business goals into reality. By offering innovation, automation and organizational design. All with a personal touch. Summary As a Principal Analyst within the Insights and Data Group you will be responsible for leading on the analytical understanding of our client’s marketing strategies, the global digital brands we work with, and ultimately their customers. You will combine your deep expertise in digital marketing analytics with your knowledge of quantitative and statistical methods to ensure that our overall business and marketing strategies become ‘data driven’ and that Managers across different business lines are able to consume insights needed to align to business key performance indicators. You will be responsible for being the primary thought leader within the marketing analytics team, acting as the subject matter expert for marketing analytics, guiding the team in understanding how marketing activities influence business outcomes via distilling best practice and guidance in analytics methodology while also aiding in the development and productionising of best in class data solutions. In addition to being a key delivery analyst, you must also lead the development and maturity of our digital analytics capability. This will be through three main routes; standards (the creation of new analytical approaches for others to follow), teaching (showing others how to become better at digital marketing analytics), and industry best practice (identifying trends & technologies that we should adopt). Further, you will need to lead on the design and execution of new, critical intelligence assets (e.g. a completely new attribution model). Working in a collaborative nature with other business units and stakeholders across the organisation you will combine data sources to provide a comprehensive overview of business performance including financial data, customer data, product data and market research assets. Key responsibilities include: • Marketing Analytics Thought Leadership: Show what can be achieved with Marketing Analytics and plan out the work needed to get there, • Development of best practice: You will have wide ranging industry experience and achievement to ensure the department do things the right way consistently., • Adoption of new Marketing Analytics approaches: you will lead on the adoption of new analytics solutions capabilities and establishes best practice behaviours on new tools. Educates others on new technologies, and evangelises standards and best practice throughout analytics and data., • Metric definition & Management: you will own, understand, and improve the definitions of all metrics for the marketing business. You will understand the data that feeds these metrics at the most granular level, and be able to provide appropriate explanations to all levels of audience., • Identify trends and opportunities for optimization by leveraging data from various ad platforms and analytics tools., • Assess and implement methodologies to solve marketing analytics problems, e.g. the indirect impact of 360 media campaigns., • Collaborate with the paid media and marketing teams to analyse performance, refine strategies, and suggest data-driven improvements., • Conduct in-depth analysis of audience behaviour, segmentation, and targeting to optimize campaign performance., • Assist in setting up and managing tracking parameters, conversion goals, and custom reports to ensure accurate data collection., • Monitor industry trends and platform changes, providing insights on their potential impact on performance and strategy. Requirements • Very strong experience in marketing analytics, particularly as regards to online focused businesses, • Deep expertise in the analysis of traffic across a wide variety of digital channels, and the production of complex attribution models that go far beyond final click, • Specific experience in the creation of new attribution models, inc. last touch, first touch, MMM etc., • An analytical mindset. The ability to think logically about complex business problems and how the use of data and analytics can solve these problems, • Forward Thinking – Able to build relationships with stakeholders and identify areas where analytics can provide value, • An understanding of BI and/or Data Warehousing concepts and methodologies, and experience using major Business Intelligence tool(s), • Good oral and written communication skills, with a demonstrated ability to build positive, productive interpersonal relationships with stakeholders, • Ability to create and present analyses and reports. As well as utilising expert technical and industry knowledge to advance requests beyond the initial requirements and provide their own opinions and suggestions, • Strong Communicator – An ability to effectively discuss, translate, and describe technical subjects to a non-technical audience and vice versa. Show the ability to bring other teams around to thinking about how data can help improve their processes, • Mentorship to ensure high standards are achieved across the team, • Experience with web analytics tools, Big Query, Campaign Manager data sets and visualisation tools such as Lookerstudio, PowerBi, Tableau or similar, • A team player, able to work together with the global BI team to deliver key business objectives Desired It would be good to have: • Proficiency in SQL, Tableau (or other visualisation tool) and R or Python., • Demonstrated knowledge of applied statistical methods or automation using R, Python (or similar), • Ability to share knowledge or mentor other members of the team on usage of these tools, • Strong communication skills with senior stakeholders across different departments If you are interested in the vacancy please don't hesitate in applying.

Senior Customer Analyst – Customer Base Management London (Hybrid, 2–3 days a week) Up to £75,000 The Company This well-established consumer brand is on a mission to strengthen its understanding of customer behaviour and loyalty. With millions of active customers and a growing focus on data-led decision-making, the business is building its analytics capability to drive smarter, more targeted engagement strategies. You’ll join an ambitious analytics team with a clear mandate — to optimise how the company manages and grows its customer base. The Role As the Senior Customer Analyst, you’ll take ownership of customer base performance, delivering insights that help retain, reactivate, and engage customers across the lifecycle. This is a high-impact role where you’ll shape segmentation frameworks, evaluate loyalty effectiveness, and identify opportunities to maximise customer lifetime value. You’ll work closely with CRM, Marketing, and Data teams to ensure every customer interaction is informed by insight. Key Responsibilities • Lead customer base management analysis to improve retention, reactivation, and engagement., • Develop and refine customer segmentation models to inform targeting and communication strategies., • Analyse loyalty and lifecycle data to understand what drives long-term customer value., • Build dashboards and reporting tools to track key metrics such as churn, LTV, and frequency., • Provide actionable recommendations that directly inform CRM and marketing strategies., • Partner with senior stakeholders to embed customer insight into commercial and strategic planning. Your Skills and Experience • Proven background in customer base management and lifecycle analytics within a B2C or subscription-led business., • Advanced SQL skills; Python or R experience advantageous., • Skilled in visualisation and reporting tools such as Tableau, Looker, or Power BI., • Strong understanding of customer value, churn, segmentation, and loyalty measurement., • Excellent communicator who can translate data into clear business action., • Collaborative mindset and strong commercial awareness. Benefits • Salary up to £75,000, • Hybrid working – 2–3 days per week in London, • Direct influence on customer engagement strategy and retention performance, • Supportive, data-driven culture focused on growth and innovation

Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling) Location: London / Hybrid / Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join a specialist data and analytics consultancy working with major financial services organisations. You'll be part of a high-performing, agile squad that owns delivery end-to-end. The environment is innovative, outcome-focused, and ideal for individuals who enjoy solving commercially impactful problems with autonomy. The Opportunity This is a hands-on Lead Data Scientist role where you'll take ownership of an existing project focused on predicting customer engagement from marketing images. Your goal: build and deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing ✅ Build and refine a predictive model using image data & historical engagement metrics ✅ Identify which image characteristics (colour, objects, themes) influence customer behaviour ✅ Implement explainability (e.g. SHAP, feature importance) ✅ Build a simple internal UI (Dash, Streamlit, or Flask) for stakeholders to explore insights ✅ Present findings and guide technical decision-making internally ✅ Enable deployment teams to operationalise your solution What Success Looks Like By the end of the initial engagement you will have delivered: • A working predictive model, • Clear explainability on what drives user clicks, • A functional internal tool for non-technical stakeholders, • Documentation and guidance for productionisation Required Skills Must-Have: * Expert-level Python (Pandas, modelling libraries such as Scikit-learn) * SQL * AWS cloud experience * Proven end-to-end ownership of data science solutions * Model explainability (SHAP, LIME, feature importance) * Ability to build simple dashboards or web apps (Streamlit, Dash, or Flask) Nice-to-Have: * Experience working with image data * Exposure to marketing analytics or customer behaviour modelling Desired Skills and Experience Key Experience Built an image-based predictive model to forecast marketing click-through rates Applied explainability techniques (SHAP, feature importance) to identify visual drivers of customer engagement Developed a Python-based dashboard (Dash/Streamlit) for internal stakeholders to explore insights in real time Led end-to-end delivery from data ingestion to deployment on AWS Collaborated within an agile squad to accelerate delivery for a major financial services programme

Commercial Analyst £42,700–£53,700 + Bonus Hybrid – Central London (1–2 days per week) An iconic global brand is looking for a Commercial Analyst to join their Commercial Business Partnering team and take full ownership of analytics across a growing international media and brand consultancy business. This company, best known for its world-famous book, has evolved into a global creative and data-led organisation operating across entertainment, media, and digital consultancy. Working closely with senior commercial and finance leaders, you will play a key role in driving strategic decisions through insight, automation, and storytelling. The Role You’ll be the analytics lead within a cross-functional team, supporting senior stakeholders across multiple regions. This is a hands-on role where you’ll turn complex datasets into actionable commercial insights and play a central role in shaping global performance reporting. Key Responsibilities • Build dashboards and automated reports using Power BI (DOMO experience a plus), • Analyse pricing, product, and market trends to identify revenue opportunities, • Partner with commercial and finance teams to deliver strategic insight and recommendations, • Lead on integration of new BI platforms and migration from legacy tools, • Support data initiatives around Salesforce, NetSuite, and Google Analytics, • Contribute to forecasting, budgeting, and strategic planning cycles, • Champion a data-driven culture and train teams on self-serve analytics Your Skills and Experience • 3–5 years’ experience in a commercial or analytics role, • Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO, • Exposure to Python desirable, • Experience working across financial, customer, or digital data, • Strong communication skills with the ability to translate data into business action, • Backgrounds from digital, retail, media, tech, or FMCG work particularly well, • Comfortable building reporting structures from scratch and working autonomously Why Apply • Rare standalone analytics role with full commercial visibility, • High-impact work influencing pricing, product, and performance decisions, • Flexible, collaborative culture with hybrid working and early Friday finishes, • Private healthcare, sponsored learning, and a creative, people-first environment

A global lifestyle brand is hiring a Data Product Owner to help shape how data is used across the business and communicate insights through compelling storytelling. The role sits within the newly formed Consumer Intelligence and Experience (CIX) team, which leads market research, segmentation, and consumer activation across all brands and channels. You’ll help internalise the company’s modelling suite and build decks that translate complex data into clear narratives for stakeholders at all levels. Responsibilities • Communicate insights clearly to teams and senior leadership, • Align data product roadmap with business goals, • Translate business needs into actionable data requirements, • Collaborate with data and business teams to deliver solutions, • Support data collection, analysis, and validation Requirements • Experience with project management and go-to-market strategy, • Strong PowerPoint and stakeholder communication skills, • Familiarity with documentation tools like Confluence, • Understanding of B2C concepts such as ROI and A/B testing, • Python or SQL skills and interest in MMM or MTA Details • Salary: £60–75k per annum, • Duration: 12-month fixed-term contract, • Location: Hybrid, with 2–3 days/week in Central London office, • Start date: ASAP

Freelance Lead Data Scientist Start: Within 1–2 weeks) Contract: 1 month (strong potential to extend – Inside preferred for extensions) Day Rate: £600/day (Inside or Outside IR35 considered) Location: Remote (UK-based preferred; preferred onsite for initial few days We’re supporting a major client on a short, high-impact project that blends computer vision, NLP, and marketing analytics. The goal is to refine and optimise an existing model that predicts the conversion rate of marketing images based on their visual and contextual attributes. The work: • Enhance or rebuild an existing multimodal image-to-text model built using CLIP and Phi (OpenAI)., • Apply SHAP (or similar explainability methods) to attribute what’s driving conversion — e.g., the presence of people, objects, or scene context., • Extend an interactive Python Dash web app that visualises image predictions and their drivers., • Work closely with the analytics and marketing teams to make the tool usable, explainable, and business-ready. Ideal profile: • Proven experience in data science / ML, with practical exposure to computer vision and explainable AI., • Strong coding in Python, with experience building models end-to-end and deploying lightweight web apps (Dash/Streamlit)., • Understanding of model explainability (SHAP, LIME, feature attribution)., • Hands-on with multimodal data (images + text) preferred., • Comfortable in a fast-moving, creative environment; self-starter with a growth mindset.Contract length: 4–5 weeks initially, strong chance of extension into wider data/AI projects

SENIOR DATA ANALYST LOCATION – HYBRID - LONDON (3 DAYS A WEEK IN OFFICE) SALARY – UP TO £85,000 THE COMPANY A private equity–backed green tech business with major investment into data and analytics! THE ROLE As a Senior Analyst, you will be involved in the following: • Delivering segmentation, regression, and predictive analysis to inform commercial decisions, • Building forecasting models and analysing customer and usage patterns, • Supporting dynamic pricing initiatives to optimise revenue and energy efficiency, • Translating analysis into clear, actionable insights for stakeholders across the business, • Working closely with data engineering and reporting teams to ensure high-quality data infrastructure YOUR SKILLS AND EXPERIENCE • Strong skills in SQL and Python (AWS experience desirable), • Background in statistical analysis, forecasting, or predictive modelling, • Experience working in fast-paced, smaller team environments (not just large corporates), • Excellent communication skills being able to take ownership and lead analysis projects independently, • Proactive, commercially minded, and comfortable working across technical and non-technical teams BENEFITS • Salary up to £80,000, • Opportunity to shape a new analytics function and drive real business impact, • Work with modern cloud infrastructure (Snowflake, AWS, Power BI), • Hybrid working – 3 days a week in central London

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career Palo Alto Networks is a world-class product management organization and continues to look for top-notch technical pro engineers to expand the team. As a Senior Technical Product Engineer at Palo Alto Networks, you will play a key role in providing detailed technical information to our partners, customers, and our employees. Be a self-starter who is eager to learn and experiment with new technologies, be able to work independently and as a teammate, identify sales challenges and address solutions as needed. As a Sr. TPE, you will play a key role in providing detailed technical information to our partners, customers, and our internal employees. You will be a strategic adviser to the business, driving valuable insight, guidance and feedback back into Palo Alto Networks. You will work across product teams to deliver this feedback Your Impact • Drive innovation within the modern Security Operations Center (SOC) by developing content and capabilities aligned with Cortex and detection-focused workflows., • Collaborate with legal, sales, product, and customer-facing teams to translate security operations needs into actionable product improvements., • Lead and coordinate cross-functional initiatives across product management, engineering, and field teams for high-impact security use cases., • Build high-quality content for the Cortex Marketplace including detection rules, parsers, dashboards, and other SOC-enabling artifacts., • Provide structured product feedback to influence roadmap decisions based on real-world SecOps challenges and opportunities., • Create detailed documentation and usage guides tailored for analysts, detection engineers, and security practitioners., • Promote operational excellence by designing scalable detection and response workflows grounded in industry best practices and threat-informed defense. Qualifications Your Experience • Ability to inspire and align teams across functions, paired with strong execution and delivery skills., • 2+ years of experience in security operations, threat detection, incident response, or detection engineering roles, • Solid understanding of SIEM, log analytics, data normalization, and detection lifecycle management (rule creation, tuning, suppression, enrichment), • Hands-on experience with XSIAM or similar platforms (Splunk, QRadar, Sentinel, etc.) is a strong plus, • Strong technical writing and communication skills, with the ability to convey complex ideas clearly to both technical and non-technical audiences, • Skilled in scripting or automation (Python, JavaScript, etc.) for detection development or incident investigation tasks, • Experience managing multiple projects or programs in dynamic, fast-paced environments with cross-functional visibility, • Familiarity with cloud infrastructure (AWS, Azure, GCP), especially as it relates to telemetry ingestion, detection engineering, or automated response — a significant advantage, • Experience with CNAPP solutions (e.g., Prisma Cloud, Wiz, Orca) and integrating cloud posture, workload protection, or entitlement data into SecOps workflows — an advantage, • Bonus: Exposure to infrastructure-as-code, CI/CD pipelines, or cloud-native services and their intersection with SecOps Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our TPE team helps us do just that. This team provides behind-the-scenes support for our products by being a source of information for our systems engineers, staying on top of the environment we sell in, and helping to implement technical solutions based on our client’s feedback and needs. As threats and technology evolve, we stay ahead to accomplish our mission. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Senior Customer Analyst London (Hybrid, 2–3 days a week) Up to £75,000 The Company This growing consumer brand has built its success on putting the customer at the heart of every decision. With a strong focus on data-driven marketing and customer loyalty, the business is investing heavily in analytics to better understand customer behaviour, improve retention, and drive long-term growth. You’ll join a collaborative analytics team that partners closely with marketing, product, and CRM to deliver impactful insights across the full customer lifecycle. The Role As a Senior Customer Analyst, you’ll lead the way in transforming customer data into actionable insight. You’ll own end-to-end analysis of customer journeys, loyalty performance, and base management strategies, helping shape how the business acquires, engages, and retains customers. This is a hands-on role for someone passionate about turning behavioural data into clear commercial recommendations. Key Responsibilities • Analyse customer behaviour, lifecycle, and loyalty trends to drive strategic decision-making., • Build and optimise customer segmentation and retention frameworks., • Deliver insights on churn, lifetime value, and engagement to improve CRM and marketing activity., • Develop automated dashboards and performance reporting in tools such as Tableau or Looker., • Partner with key stakeholders across marketing, product, and data to embed insights into business strategy., • Lead initiatives to improve understanding of customer value and campaign effectiveness. Your Skills and Experience • Proven experience in customer or lifecycle analytics within a B2C, subscription, or loyalty-led environment., • Strong technical skills in SQL; experience with Python or R a plus., • Skilled in data visualisation tools (Tableau, Looker, or Power BI)., • Strong grasp of key customer metrics such as retention, LTV, churn, and engagement., • Excellent communicator able to present insights clearly to non-technical audiences., • Collaborative mindset and a passion for using data to shape customer experience. Benefits • Competitive salary up to £75,000, • Hybrid working (2–3 days per week in London office), • Opportunity to work on a customer-centric analytics strategy with real business impact, • Supportive culture with clear progression routes

Data Engineer Location: London (4 days/week in office) We are working with a world leading E-commerce company who have a platform used by millions worldwide — and data is at the heart of it. Their systems already process thousands of messages per second, powering real-time learning, analytics, and reporting at global scale. We’re looking for a Data Engineer to join the platform team. You’ll help design, build, and run pipelines and services on a modern data stack (Kafka, AWS, Iceberg, Kubernetes), collaborating with engineers, data scientists, and product teams across multiple regions. What you’ll do • Build & maintain streaming and batch pipelines, • Develop our Lakehouse (AWS S3 + Iceberg), • Ensure data is trustworthy, accessible, and reusable, • Implement schemas, contracts, and observability, • Good working experience in data engineering, • Hands-on with Kafka/Pulsar/Kinesis, • Strong SQL & relational DBs (Postgres/MySQL), • Coding experience in Java/Scala, • Cloud (AWS preferred) + Infrastructure-as-Code familiarity

Attribution Search is partnering with a newly launched Hedge Fund for a Software Engineer as part of its further build. The fund is already a multi billion business with continued backing from a leading multi-manager platform. Now independently operated, the fund is scaling rapidly — both in capital and complexity — trading across new regions and a push into more exotic instruments. Leading the fund is a globally recognised CIO with a standout track record, attracting top-tier talent across investment and non-investment roles. This is an opportunity to join early, contribute meaningfully, grow with the fund, and play a significant part in the build of its trading technology. The Role: You’ll join a lean, high-impact engineering team tasked with reimagining the trading and middle Office technology stack — building smart, scalable systems to empower Portfolio Managers, Traders, and Operations teams. Key Areas of Focus: • Next-Gen Execution Management Systems (EMS), • Trade lifecycle tools: booking, intraday PnL, ops workflows, • STP-by-exception reconciliation and integration with affirmation platforms Broader Tech Strategy Involves: • RESTful API architecture to expose middle office services across the firm, • Migration of core systems to the cloud, • Deep integration with global data platforms: market, trade, static, PnL, and risk, • Strategic onboarding of third-party and managed services Advantages of build, scale and early launch phase; • Direct line to end users: PMs, Ops, and Risk, • Greenfield systems with the freedom to shape architecture and tooling, • Closely partner with CTO and drive tech strategy, • A high-calibre team in a collaborative, flat and engaging environment Experience required • Stack: Open to strong engineers; experience in C#, Python, Java, or cloud-native development a plus, • Investment Banking, Asset Management or Hedge Fund experience, • Business knowledge on Trading and trade flows front to back, • Competitive comp package in line with top-tier hedge fund engineering roles

Mid-Level Analytics Engineer - SQL, Python, Looker, DBT, AWS OB are partnered with an industry leader in the E-Commerce space, who are looking to grow their Analytics Engineering function by hiring multiple Analytics Engineers. You'll be working extensively with DBT to enhance the businesses Data capabilities, allowing stakeholders across the business to made Data driven decisions. Mid-Level Analytics Engineer - SQL, Python, Looker, DBT, AWS Key skills and experience: SQL & Python DBT Looker AWS Salary of £60k-£70k depending on skills and experience + extensive benefits package Hybrid working with 3-days a week required in a London based office To be considered, you must be UK based and sadly visa sponsorship is unavailable Mid-Level Analytics Engineer - SQL, Python, Looker, DBT, AWS

We are partnered with a leading global trading firm that has been operating for decades at the intersection of markets, technology, and innovation. With offices across North America, Europe, and Asia, they bring together world-class engineers and researchers to solve some of the most complex challenges in systematic trading. Their London-based systematic team is expanding and seeking a Trading Developer to play a pivotal role in building and enhancing their core trading platform. This is a high-impact role within a small, elite group where your contributions will be felt immediately across the business. The Role • Join a tight-knit team of trading technologists (currently 2 in London, with further growth planned in the US), working directly alongside researchers and trading leads., • Take full ownership of the firm’s primary systematic trading platform, ensuring stability and scalability across all components — market data, execution, and trading algorithms., • Play a central role in the ongoing transition to modern C++, while still contributing to Python systems and integrations., • Tackle the full lifecycle: design, development, testing, deployment, and support — building mission-critical systems that trade globally, 24/7., • Work in an environment where deep domain knowledge and technical excellence are equally valued. What They’re Looking For • Proven experience building complex, high-performance systems in C++ (deep, practical knowledge — not just theoretical)., • Exposure to systematic trading environments (front-to-back awareness: data ingestion, strategy implementation, execution, and risk)., • Strong problem-solving ability, with the autonomy to drive projects end-to-end., • Willingness to work closely with researchers, contributing to strategy development and operational excellence., • Python skills are beneficial, especially for bridging systems and rapid prototyping.

Lead Python Developer | Hybrid in London (3 Days) | Up to £115K | Python, AWS, React, TypeScript, Microservices OB has partnered with a specialist AI consulting firm that works with large-scale enterprises to help them transform into AI and data-driven organisations. With extensive experience in delivering AI transformation for enterprise clients, they are now expanding their engineering team and hiring multiple Lead Engineers to join a range of exciting new projects. These projects span several sectors, including Finance, GreenTech, Utilities, Private Equity, and more. The positions are primarily backend-focused (around 80%) but will also involve contributions to frontend development and cloud-native architecture. Key Requirements: • 5+ years of commercial experience, including previous responsibility for leading small teams, • Strong, demonstrable expertise in Python, • Experience with frontend technologies – ideally React, • Solid background working with cloud-native technologies, preferably AWS, • Comfortable working in Agile environments, • A consulting background will be significantly advantageous Salary: £90k – £115k Discretionary bonus scheme Excellent benefits package Hybrid working in London (3 days on site/week) If the above roles are of interest, and you'd like to know more, please message me or email through your CV to Lead Python Developer | Hybrid in London (3 Days) | Up to £115K | Python, AWS, React, TypeScript, Microservices

Principal Engineer - Python, AWS, React, TypeScript, Microservices OB have exclusively partnered with an AI Consulting firm who work with enterprise scale clients to transform them into AI & Data transformed businesses. Knowing how AI can transform enterprise scale companies, they are looking to bring in a number of highly skilled Principal Level Engineers to their team, to work on a number of new exciting projects, across a variety of industries such as Finance, GreenTech, Utilities, PE & many more. The roles will be heavily weighted toward the Backend (80/20), but you will be expected to work across the Frontend and with Cloud-native Architectures. Principal Engineer - Python, AWS, React, TypeScript, Microservices Principal Engineer: 8+ years of commercial experience Experience guiding multiple teams and helping set technical direction My have strong demonstrated knowledge of Python Knowledge of frontend technologies - ideally React Strong experience working with cloud-native technologies - ideally AWS Agile ways of working A Consulting background will be highly advantageous Pays £120k-£135k - + discretionary bonus + excellent benefits package Hybrid working with 3-days a week required in London offices Principal Engineer - Python, AWS, React, TypeScript, Microservices

Qualifications • 6–10 years of experience in applied data science, machine learning, or analytics leadership., • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance., • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML)., • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch)., • Proven ability to assess or design organizational processes for data science delivery and model management., • Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business recommendations.

Senior Full Stack Engineer London based, hybrid working, 1 day a week in office Salaries paying £85k-£130k + Bonus Oliver Bernard have partnered with a challenger bank in London who are building the next generation of financial products. We are looking for Senior Full Stack Engineers, ideally with strong experience across Python, TypeScript and React. They are open to candidates from different backgrounds, but you must be able to demonstrate strong TypeScript or Python coding during technical interviews. This is great opportunity to join a team working on real time, event based and distributed systems which enables customers to move money efficiently and securely. The ideal candidate will have worked in FinTech (not essential) and in a start-up or scale up environment with a proven track record of working in lean product teams with a deep focus on system design. Tech Stack: Python, TypeScript, React, React Native, AWS, DevOps. The client are looking for someone to start as soon as possible and they are moving quickly with interviews! Please apply now for more information! Senior Full Stack Engineer

We are artnered with a $30 billion leading quant hedge fund operating across all liquid asset classes. As part of broader growth plans, they are hiring a Quant Developer to join their FICC Risk Technology team. You will be central to the development of core FICC Risk and PnL systems, working across scalable data base design to ensure for efficient, highly effective solutions. By taking direct control over this architecture, you will contribute to key technical decisions alongside my client’s elite team of Risk Specialists, Traders and fellow Quant Devs. This is an opportunity to take a leading role, collaborating directly with Fixed Income trader, at a firm at the very top of the buy-side space. Python, Pandas, SQL, AWS If you have strong fixed income product experience, and are an experience python developer - lets chat.

Principal Software Engineer (Backend Focused) | ~£150K | AI Learning Platform | London Hybrid Partnered with one of the UK’s fastest-growing AI learning platforms, founded by Cambridge alumni from Google, Amazon, and YouTube, whose mission is simple: to make learning so easy, anyone can learn anything. They’ve built a generative AI platform that converts content into quizzes, flashcards, and gamified challenges and with 1M+ monthly users and $16M Series A funding, they’re scaling globally. We’re hiring a Principal Software Engineer (backend-focused) to help build and scale the systems powering millions of learners. You’ll own backend architecture, work with AI features, and ship production-grade code that directly impacts the product experience. 💡 Why it’s worth your time: • Work on products people genuinely love thousands use it daily., • Build at scale: millions of API requests, global reach, complex AI integrations., • Collaborate with elite engineers who care deeply about product quality., • Backed by top-tier investors and led by an exceptional founding team. You’ll bring: • Strong experience in Python + PostgreSQL, • Familiarity with TypeScript and distributed systems (BigQuery, Redis, RabbitMQ etc.), • Clear communicator who enjoys solving complex problems collaboratively, • Start-up mindset, adaptable, ambitious, and product-driven 💰 Up to but not limited to £150K base + equity 📍 Hybrid London (4 days in office) If you want to build backend systems that power meaningful, human-centred AI products, and work with one of the smartest teams in London, this one’s hard to top!

Senior AWS Cloud Engineer - Up to £60k - Remote - New Role (REF45) A market-leading organisation requires an experienced AWS Engineer to join its growing team! You will join a team of forward-thinking and experienced engineers focussed on ensuring the delivery, operation, security and evolution of customer AWS platforms. The ideal candidate will be able to demonstrate the following skills and experience: • Strong, hands-on AWS experience across networking, storage, serverless, IAM, etc., • Proficiency in Terraform or CloudFormation, and scripting (Python/Bash), • Strong understanding of modern cloud architectures and DevOps practices, • Excellent communication skills with both technical and non-technical stakeholders, • AWS certification (desirable), • Experience of working within a consultancy or mangaed services environment would be advantageous. Duties will include: • Managing, migrating, and supporting AWS environments, • Working on both production and non-production systems, • Supporting customer onboarding and cloud transformation projects, • Ensuring security, reliability, and operational excellence, • Staying ahead of AWS trends and best practices Please send CV for full job description and an informal chat. Excellent benefits and the opportunity for progression!

Back End Engineer (Python) Location: London (hybrid) Salary: Up to £70,000 (depending on experience) +10% bonus We’re looking for a talented Back End Engineer to join a growing engineering team based in central London. You’ll play a key role in building and maintaining scalable backend services that power customer-facing platforms used across the UK. This is a great opportunity to work on impactful, data-driven systems within a collaborative, forward-thinking environment. The Role You’ll be part of a small, skilled team delivering clean, efficient code and robust backend solutions. You’ll collaborate across product and design teams, bringing ideas to life while helping to shape best practices in architecture, deployment, and continuous improvement. What You’ll Do • Design and build scalable, maintainable backend services, • Use and advocate for modern Python frameworks and AWS tooling, • Collaborate with cross-functional teams (Product, Design, and more), • Contribute to technical discussions, code reviews, and Agile ceremonies, • Continuously improve systems, tools, and processes What We’re Looking For • 5+ years proven experience as a Back End Engineer working primarily with Python, • Strong understanding of backend architecture, databases, and APIs, • AWS experience in production environments, • Passion for clean, reliable, and efficient code, • Collaborative mindset with strong communication skills Join a team that values impact, innovation, and collaboration - where your work helps shape meaningful digital experiences at scale.

Kubernetes Engineer | High-Performance Trading Infrastructure | £100k + Bonus | London • Onsite 5 days per week Join a tech-first investment bank redefining what financial infrastructure can look like. This isn’t legacy banking - it’s bare-metal Kubernetes, BGP-based architectures, and cloud-native innovation at scale. You’ll be hands-on in designing and maintaining Kubernetes clusters across multiple data centres, supporting trading systems where milliseconds matter. This role blends Linux engineering, network optimisation, and policy-driven security in one of London’s most forward-thinking technical environments. Tech you’ll work with: • Linux (Ubuntu / RHEL), • Kubernetes (bare-metal), • Terraform, Ansible, Helm, Git, • BGP, Calico, Kyverno, OPA, • Python, Bash Why join? • £100,000 basic + bonus, • 10% employer pension, • 30 days annual leave, • Private medical & life cover, • Enhanced parental leave, • Full-time onsite in City of London If you’re a Linux & Kubernetes expert who wants to push the limits of infrastructure performance in a fast-moving, high-impact financial setting - this role is for you.

Mid/Senior Data Engineer | 🚀 Series C Scale-up | $50m raise in 2025(Python,, GCP) | Permanent | London (1 day a week on-site) My client are a fast-scaling SaaS scale-up (Series C, $50m raised in 2025) that is redefining how global powerhouses operate. Their AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. With 10× revenue growth in the past year and aggressive expansion across the UK, US, and EU, the company is scaling at pace. Data is the backbone: from APIs and pipelines to governance and observability, their data platform directly powers customer-facing products and AI-driven insights. They’re now hiring a Senior Data Engineer to own and shape this platform, building scalable, production-grade systems that become the foundation for global brands. Why join? ✨ Greenfield impact – inherit a live but early platform, define best practice across structure, testing, observability, and governance. ✨ Direct product impact – your APIs, pipelines, and orchestration power the platform that 1,000+ brands rely on every day. ✨ AI at the core – work on infrastructure that enables machine learning and intelligent decision-making across commerce. ✨ $50m investment – fueled expansion and innovation, backed by world-class investors. ✨ Career trajectory – Clear scope to grow into leadership as the data team scales. ✨ Remote-first culture – flexibility to work from anywhere What you’ll be doing: • API strategy & development – own and scale FastAPI endpoints that deliver real-time access to platform data., • Data pipeline development – build ingestion and replication pipelines with best-in-class observability, latency, and resilience., • Platform technical vision – influence architecture and orchestration, shaping how the business handles data at scale., • Data quality & governance – embed testing, freshness, lineage, and monitoring to ensure reliability and trustworthiness., • Collaboration – partner with engineers, product managers, and commercial teams to deliver production-grade solutions. Tech stack and requirements: • Python – must-have, with production-grade engineering expertise, • FastAPI – Nice to have, • Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage, • dbt – strong advantage, with scope to shape best practice, • Airflow / Composer – highly desirable for orchestration, • CI/CD – GitHub Actions (or similar) Salary: £75,000 - £85,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London (1 day a week onsite) Sound interesting? Please apply to hear more!

Software Engineer (Python) - BioTech AI Start Up London, 5 days onsite Up to £130k I’m partnering with an AI BioTech start up who are looking for a Backend Engineer to join their lean, high-impact team and help scale their AI systems in real-world healthcare environments. Why this role stands out: • Mission-led: Direct impact on improving patient outcomes using AI., • Deep tech focus: Work on deploying LLMs and clinical AI tools., • High ownership: Influence architecture, deployment strategy, and product direction., • Collaborative culture: Work closely with clinicians, scientists, and product teams. Requirements: • Degree in Computer Science, Data Science, Engineering, or related field., • 3+ years of backend software engineering experience., • Proficient in Python and/or JavaScript (Node.js)., • Experience with CI/CD tools (e.g. GitHub Actions, Azure Pipelines)., • Familiar with Docker and microservices architecture., • Solid understanding of RESTful APIs., • Bonus: Experience with AI/ML tools like Hugging Face, LangChain, or PyTorch. Tech Stack: • Python / JavaScript (Node.js), • Docker / Kubernetes, • Azure / GitHub Actions, • RESTful APIs / Microservices, • Hugging Face, LangChain, PyTorch Unfortunately, no sponsorship is available at this time.

Role: Quantitative Developer Type: Contract Duration: 6 Month (High chance of extension!) Rate: up to £750 P/D (Outside IR35) Location: London/Remote My leading FinTech client are looking for a senior Quant Developer with strong front office experience to join their existing team of passionate technologists to help drive forward the development of a variety of their front office platforms! You will get the opportunity to join a team of like minded technologists and work on some of the most performant, scalable and reliable technology that the trading space has to offer! This will be a 6 month (rolling contract) and can be fully remote!! The following experience/skills are required: • Strong experience in a similar role (Quant Development/Analysis), • Front Office experience , Ideally with experience working on Fixed income products, • Strong Python, • Strong exposure to datalake techynologies - Snowflake etc, • Excellent communication skills Interviews taking place ASAP. Please don't hesitate to reach out direct.

Position: FPGA Engineer Compensation: Base salary of £100,000 + performance bonuses Location: London, UK. Company Insight Step into the forefront of quantitative and systematic investment management as an FPGA Engineer. Operating globally across diverse liquid asset classes, we combine cutting-edge technology and data-driven methodologies to deliver unparalleled returns for investors. The firm is looking for a dynamic FPGA Engineer: • Holds a degree in Electrical/Electronic Engineering or a related field., • Brings 3+ years of hands-on experience in RTL design and verification for FPGAs, mastering Verilog, SystemVerilog, or VHDL., • Proficient in FPGA toolchains, especially with Xilinx Vivado (preferred) or Intel Quartus., • Skilled in simulation environments, preferably with expertise in Modelsim/Questa., • Proficient in Python for dynamic implementation within verification frameworks., • Demonstrates an in-depth understanding of networking protocols, including Ethernet, UDP, and TCP., • Capable of crafting hardware APIs using C++., • Thrives in environments with continuous integration and automated test tools., • Bonus: Knowledge of Market Data protocol and strategy implementation experience. Pre-Application: • Please do not apply if you're looking for a contract or remote work., • You must be eligible to live and work in the US, without requiring sponsorship., • Please make sure you meet the required experience section before applying., • Allow 1-5 working days for a response to any job inquiry.

Senior Java Developer – Middle Office Platform (Credit & Rates Trading) Location: London Salary: £120K-£140K + up to 25% Bonus + benefits About the Company This global financial technology firm is renowned for combining cutting-edge engineering with a market-leading trading platform that powers electronic trading across Credit and Rates. Their flagship product is used daily by thousands of brokers and traders worldwide and is a central pillar of their long-term growth strategy. They foster a fast-paced, product-focused culture where engineers have direct impact on scaling systems that sit at the heart of global capital markets. The Role We are seeking a Senior Backend Java Engineer to play a key role in scaling the Middle Office platform of a world-leading electronic trading system. You’ll work on mission-critical backend services, collaborating closely with global teams (including New York) to ensure performance, scalability, and resilience in a high-volume, real-time environment. This is a hands-on leadership role where you’ll mentor other engineers, promote engineering excellence, and act as a point of contact for senior stakeholders. Projects You’ll Work On • Scaling a real-time trading platform: Handle vast growth in electronic trading volumes, ensuring throughput and ultra-low latency., • Resilience & recoverability: Build fault-tolerant services and recovery systems for mission-critical trading operations., • Automation & testability: Drive forward engineering practices, embedding automation to ensure reliability and speed of deployment., • Cross-market solutions: Exposure to multiple asset classes, building technology that underpins Credit, Rates, and wider electronic markets., • Global impact engineering: Collaborate with international teams, delivering systems used daily across the US, Europe, and Asia. What They’re Looking For • 8+ years of professional Core Java development experience, • Strong knowledge of data structures and algorithms, • Hands-on experience with SQL and at least one scripting language (Python, Perl, Shell etc.), • Solid understanding of network programming fundamentals, • Degree in Computer Science, Engineering, or related STEM field, • Experience leading and mentoring engineers in collaborative teams, • Excellent communication skills and ability to engage stakeholders Why Apply? • Opportunity to engineer one of the most widely used electronic trading platforms in the market, • Work in a high-performance environment where technology is central to business strategy, • Competitive compensation and bonus structure, • Accelerated career progression in a global financial technology leader

Our client is a high-performing hedge fund, recognised for its technology-first culture and entrepreneurial mindset. As the firm continues to scale, it seeks an exceptional Engineering Manager — a technically credible, forward-thinking leader ready to take the next step toward a Chief Technology Officer remit. You will play a pivotal role in modernising the firm’s trading and data platforms, building and mentoring high-calibre engineering teams, and shaping the architectural foundations that power the fund’s investment strategies. This is a hands-on leadership role — you’ll be expected to code, design, and influence in equal measure — helping to define how technology evolves as the firm expands. Core Responsibilities • Lead and inspire a team of engineers delivering next-generation trading systems and data platforms designed for scalability, performance, and resilience., • Embed modern engineering principles — event-driven architecture, distributed systems, CI/CD automation, and cloud-native design — across the technology landscape., • Collaborate directly with portfolio managers and researchers to translate trading and analytical requirements into production-ready solutions., • Drive innovation by incorporating AI and machine-learning initiatives into research and operational frameworks., • Champion engineering culture — attract exceptional talent, mentor developers, and instil technical excellence and accountability., • Contribute strategically, working closely with the CTO and senior leadership to define the long-term technical vision and roadmap. You will likely have: • Experience leading and scaling engineering teams within a front-office trading or high-performance technology environment., • Strong hands-on background in modern C++, Java, or Python, with deep understanding of systems architecture and distributed design., • Proven ability to bridge business and engineering, collaborating effectively with PMs, data scientists, and operations teams., • A passion for building engineering culture — developing people, improving processes, and raising standards., • The ambition to step into a CTO-level leadership role in the coming years. This is a rare opportunity to operate at the intersection of technology and investment in one of London’s most dynamic hedge funds. You’ll join an environment that values autonomy, impact, and excellence, where engineering drives performance — and your ideas directly influence the firm’s success.

Senior Python Developer - Python, SQL, Databricks, AWS/Azure OB have partnered with a Global Insurance Leader, who are expanding their Python Engineering team, with Senior Python Developer, skilled with Python, SQL, Databricks and Cloud Infrastructure. In this role, you will play a key part in designing and building new capabilities, such as high-performance API's and high-frequency event streams, as well as making improvements to their current platform. Senior Python Developer - Python, SQL, Databricks, AWS/Azure Key skills and experience: Python FastAPI SQL Databricks AWS/Azure API's Hybrid working with 3-days a week required in a Central London office Pays up to £90k + benefits To be considered, you must be UK based Senior Python Developer - Python, SQL, Databricks, AWS/Azure

Backend Developer - Python Permanent – Hybrid Working £60,000 - £70,000 base plus package Do you want to be part of Europe's automotive market's biggest innovator, changing the way customers buy their next car? Our client is currently recruiting a Backend Developer - Python to join their talented engineering team, building highly scalable backend services that power exceptional customer experiences. This is a role where your technical expertise will directly shape the future of automotive retail. The ideal Backend Developer - Python will have: • Strong technical skills building scalable backend services, primarily in Python (any framework), • A good understanding of databases, OO design, data structures and SOLID principles, • Analytical mindset with a love for problem-solving and continuous improvement, • Experience with modern development practices including code reviews, pair programming and Agile processes, • Strong collaborative approach, working effectively with both technical peers and business teams, • The ability to communicate technical concepts clearly across the team Tech Stack includes: Python, FastAPI, AWS, PostgreSQL, Django, Kubernetes, Terraform, GitHub What the Backend Developer - Python role offers: • £70,000 base salary, • 10% performance-based bonus, • 28 days annual leave (plus public holidays) + birthday day off, • Private medical insurance, • 8% pension contribution Apply now or to hear more get in touch with Connor Smyth at Anson McCade on 020 7780 6706.

Python Developer - Python, Django, REST API's, AWS, JavaScript OB are partnered with a Global Financial Services company, who are looking to add a highly skilled Python Developer to their team. In this role, you'll be working their Python backend systems, developing new features and collaborating with different teams, to ensure product goals are met. Python Developer - Python, Django, REST API's, AWS, JavaScript Key Skills and Experience: Strong knowledge of Python Experience with Python frameworks (Django preferred) PostgreSQL REST API'S Docker Cloud experience (AWS preferred) Knowledge of Frontend Technologies (JavaScript, HTML, CSS) This is a hybrid role with 2-3 days a week required in a London based office Base salary of £75k-£90k depending on skills and experience To be considered, you must be UK based Python Developer - Python, Django, REST API's, AWS, JavaScript

Engineering Lead Numi are currently partnered with a fast-growing technology company, to hire an Engineering Lead. This person will work closely with the CTO to scale the engineering organisation, improve delivery processes, and guide a talented team as the business expands. The Opportunity This is a hands-on leadership role with strong influence over both technical direction and team growth. You’ll shape architecture, refine workflows, and ensure engineering quality and speed remain high as the platform scales. The company operates in a data-rich environment, using modern cloud infrastructure and a mix of Python, Go, and Flutter across its systems. You’ll work with teams building scalable, event-driven applications and AI-powered products used by thousands of end users. It’s an environment that values pragmatic engineering, experimentation, and a strong product mindset, ideal for someone who enjoys combining technical leadership with people development. What They’re Looking For • Experience leading and scaling engineering teams in a high-growth product environment, • Solid technical foundation (ideally in backend or full-stack development), • Understanding of modern cloud architecture, DevOps, and distributed systems, • Ability to balance technical depth with clear communication and leadership, • Collaborative approach to mentoring, coaching, and team-building What’s on Offer • Competitive salary and ownership potential, • Opportunity to influence technical direction and team structure, • Collaborative, transparent culture that values engineering excellence, • Office-based environment with flexibility (Based in London, nr Kings Cross), • Real scope to shape the next stage of growth Apply direct or reach out to

Position: Kubernetes Platform Engineer Workplace Type: On-site, full-time Location: London, UK Salary: Up to £100,000 Benefits: • Private pension plan - 10% of base salary contribution by company, • Generous 30 day holiday allowance, • Private Health Insurance, • Life Insurance scheme, • Flexible working hours, • Enhanced parental leave policies, • Employee Assistance Programme offering counselling sessions related to mental health, financial wellbeing and other topics Skills/Requirements: • UNIX / Linux (Ubuntu & Red Hat), • K8s (must; administration as well as best-practise for usage), Calico Enterprise (desirable), • Networking, in particular TCP/IP in general as well as understanding routes, routing tables, VLAN / VRF concepts, BGP, • Bash, Python, Ansible, Terraform, Helm and Git, • Accustomed to working in a DevOps approach that involves concepts of code review, automated testing and release pipelines, • Accustomed to work in an environment that is protected by PAM (Privileged Access Management) For more information, contact Maria Ciprini at Harrington Starr, or click "Apply" to start your application.

Senior Python Developer - Python, SQL, Databricks, AWS/Azure OB have partnered with a Global Insurance Leader, who are expanding their Python Engineering team, with Senior Python Developer, skilled with Python, SQL, Databricks and Cloud Infrastructure. In this role, you will play a key part in designing and building new capabilities, such as high-performance API's and high-frequency event streams, as well as making improvements to their current platform. Senior Python Developer - Python, SQL, Databricks, AWS/Azure Key skills and experience: Python FastAPI SQL Databricks AWS/Azure API's Hybrid working with 3-days a week required in a Central London office Pays up to £90k + benefits To be considered, you must be UK based Senior Python Developer - Python, SQL, Databricks, AWS/Azure

Lead Optimisation Engineer – Python / Pyomo / Gurobi 💻 Fully Remote (UK) | 🏙 2 Days in London Office per Month 💰 Base Salary up to £60,000 + Performance Bonus Are you a problem-solver who loves applying mathematical models to real-world optimisation challenges? We’re looking for a Lead Optimisation Engineer to take ownership of a core optimisation engine that drives intelligent routing and decision-making across a complex, data-driven platform. This is an ideal next step for a 2nd-job engineer ready to move from supporting optimisation projects to leading them — with full exposure to product, architecture, and performance tuning. What You’ll Be Doing • Designing, implementing, and maintaining MILP optimisation models using Pyomo and Gurobi/SCIP., • Researching and prototyping new optimisation methods to improve runtime and solution quality., • Managing API operations end-to-end — from schema design to orchestration and integrations., • Refining methodologies including refill, extrapolation, benchmarking, and recosting., • Reviewing and QA’ing code, running performance testing, and owning debugging cycles., • Collaborating closely with product and engineering leads to prioritise features and manage technical debt., • Engaging with stakeholders to troubleshoot and propose optimisation improvements. What We’re Looking For • Strong Python skills and experience working with optimisation tools such as Pyomo, Gurobi, or SCIP., • Solid understanding of mathematical modelling and problem-solving in real-world applications., • Comfort working with APIs, backend data models, and performance monitoring tools., • A proactive mindset — someone who enjoys owning technical challenges from concept to delivery. What’s on Offer • Fully remote working (UK-based) with just 2 days per month in the London office., • Base salary up to £60,000 p.a. + performance bonus., • Opportunity to lead and scale a core decision-making engine that impacts real business outcomes., • Supportive, collaborative team culture that values innovation and continuous learning. 📩 Apply now if you’re ready to make the leap from contributor to technical lead — with full ownership, autonomy, and measurable impact.

About: You will lead a team of data analysts, BI business process experts and BI analysts, who will benefit from your experience in coaching and your knowledge of the data and analytics domain. The Data Fabric team will ensure that your team has access to all relevant information and their skilled data engineers will develop the data pipelines for the projects in your team. Your team can further rely on a central competence and assistance of data science and business intelligence. Do you like new challenges that test your earlier experience in marketing? You will work closely together with the product managers and business development managers of our marketing department. You will collaborate with them to ensure that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier experience with these tools and languages will help you to coach your team. You will be working with our locations worldwide to support running their operations. Our team already currently consists of 7 different nationalities. Do you enjoy this diversity? What is expected of you? – To have previous experience in data & analytics – Preferably earlier experience in coaching a team – Analytical mindset – Customer-oriented – Eager to learn – Capable of taking initiative Please Note - Unfortunately, out client is unable to offer H1B sponsorship. We look forward to receiving your application!

Senior Fullstack Engineer (React/Python) Salary: Up to £80k Location: 1 day p/week in London Senior Fullstack Engineer (React/Python) - would you like the opportunity to work for a start-up who are helping organisations reduce their energy costs? They have raised over £2.5 million so far and are pushing for Series A funding. As a Senior Fullstack Engineer, you will work with their product team to design, code and test their platform, while also working together with their customers and partners Key requirements: • 4+ years’ experience working with JavaScript and React., • Experience working with Python., • Experience working with Django., • AWS., • Bonus if you have worked in start-ups before. If you’re a Senior Fullstack Engineer (React, Python) looking for a new challenge, please apply.

Required Skills- 9 + years’ experience must Relevant experience on timeseries/data package • Education: Software engineer, • Soft Skills: Strong written and verbal communication skills, • Experience: ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). iii. REST APIs: Fetching or sending data to backend services