2073 jobs found

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. As an Engineering Manager at Olo, you will play a significant and visible role in helping us scale one of the most advanced food ordering platforms in the market. We are looking for an Engineering Manager with experience leading high performing teams to deliver the best possible experience for our customers. This position is fully remote and allows you to work from anywhere within Northern Ireland. You will be responsible for leading and supporting a team of engineers to deliver high quality, scalable, and resilient systems on our platform. This role includes overseeing technical architecture decisions, ensuring alignment with business objectives, and leading cross functional project execution. You will lead a team of 5 8 engineers who are focused on creating delightful experiences for Olo's customers. In this role you will work closely with product and engineering leadership to define long term technical strategy, remove roadblocks, and ensure timely delivery of projects. They will also be key in fostering a high performance culture, focusing on team development, mentoring, and supporting engineers in their growth. What You'll Do: Manage execution of engineering projects, meeting deadlines and maintaining quality standards. Drive the identification, prioritisation, and resolution of technical debt by collaborating with teams to assess its impact, partnering with the product team to integrate remediation into project planning, and communicate outcomes to leadership, ensuring balance with feature development and sustainable system architecture. Own and execute on your team's product roadmap, aligning it with long term business objectives. Develop and implement new processes to address business needs. Keep the team competitive by adopting new technologies and industry best practices. Ensure engineering teams work effectively with other functions to meet business goals. Deliver systems that meet performance, scalability, and quality standards, consistently delivering reliable solutions. Regularly evaluate team performance and quality, driving necessary improvements. Resolve major technical issues, acting as the main point of escalation for stakeholders. Work with clients and partners to address technical needs, resolve challenges, and ensure effective solutions. Leadership Responsibilities: Manage an engineering team, ensuring strategic alignment with business goals and successful execution of deliverables. Eliminate roadblocks and empower the team, acting as a servant leader who ensures team success. Drive team growth through mentoring, 1:1s, and development plans, fostering professional development. Promote a high-performance culture that encourages innovation, inclusion, and diverse perspectives. Guide team technical development, enforce best practices, and provide mentorship. Lead the hiring and development of engineering talent, ensuring alignment with team objectives and organisational values. What We'll Expect From You: Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 12+ years of engineering experience, with 2+ years in management. Deep knowledge of technical architecture, system design, and scalability. Experience collaborating across teams to develop and execute product roadmaps. Proven success in hiring and managing engineering teams. Strong history of managing and developing technical teams, focusing on performance. Excellent interpersonal skills, with the ability to collaborate across teams with empathetic leadership. Familiarity with emerging technologies and a track record of driving process improvement, experimentation, and innovation. Leads independently while staying aligned with company objectives. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source-so restaurants can better understand and better serve every guest on every channel, every time. Over 700 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology's positive impact and creating a world where every restaurant guest feels like a regular. Learn more at

DHL Air (UK) Ltd is the largest all-cargo air carrier in the UK, operating a fleet of B757-200, B767-300 & B777-200 aircraft on worldwide operations. Part of the DHL Express team with our headquarters at East Midlands Airport, we wish to enhance the team to deliver our customer promise of; Excellence, Simply Delivered. We are looking to appoint a self-motivated individual that is people and service focused. Someone who gets it right first time, shows passion in their work and has the "Can Do" spirit that made DHL world leading in Logistics. DHL Air (UK) Ltd is looking to develop and expand its Part CAMO/Continuing Airworthiness Team that is responsible for the oversight of the fleet of Boeing Aircraft. We are looking for someone with a proven background in Maintenance Planning and Technical Records. The Role: Reporting to the Airworthiness Manager, the Short-Term Maintenance Planning Engineer is responsible for the forecasting and planning of aircraft maintenance activities across the DHL Air fleet. Duties include but are not limited to; Maintaining an oversight of the fleet, by carrying out a regular monitoring of all flight hours, flight cycles and calendar limited maintenance tasks controlled by the maintenance forecast which originate from the aircraft maintenance programme. Forecasting all maintenance requirements up to C check, ensuring that all required resources such as tooling, spares, downtime, tail-sign allocation and manpower are available. Maintaining an overview of the proposed modifications, Airworthiness Directives, Service Bulletins (reliability & development of the aircraft) through liaison with the Technical Services team Building strong relationships within the Part M environment to ensure maintenance plans are in place and all required data is available to Part 145, as well as prepare and chair numerous meetings on a weekly basis regarding all planning related activities. Requirements: The applicant must have proven experience in a Continued Airworthiness Management Organisation. They must have a good understanding of UKCAA Regulations. TRAX/AMOS experience would be an advantage. The candidate would preferably have at least previous experience in a Technical Services environment with specific knowledge of Maintenance Planning and or Technical Records. Analytical-minded team player with good communication skills, who is able to work with respect to strict deadlines and under time pressure What you'll get in return: A competitive salary and as part of a growing DHL population you will receive access to a variety of our excellent benefits including private healthcare, access to a 24/7 GP helpline and a company pension scheme. What you'll need to do next? If you are interested in the position of Short Term Maintenance Planning Engineer and have a proven track record of achievement to match the requirements for this role, simply apply online ensuring that a full up to date CV and cover letter is attached with your application. We will ensure that all our resourcing activities are fair, transparent and consistent across the UK. We want to ensure that the candidate experience is of the highest professional standard. The Company is committed to providing equality of opportunity for all employees. Furthermore we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organisation.

Head of Consulting - Data Analytics, Tech, Behavioural Science Head of Consulting - Data Analytics, Tech, Behavioural Science Head of Consulting - Data Analytics, Tech, Behavioural Science Lead & grow the Consulting arm of a major independent Media Agency. Leverage the companies unique asset combining Data Science, Behavioural Science & Tech, to solve clients major strategic challenges. Join a new business venture within a strategically focused media agency, who already work with some of the biggest brands in Tech & Consumer Goods. You'll be responsible for developing relationships with key senior stakeholders within existing clients, and developing new clients, and winning & closing new projects. You'll get the opportunity to network and build relationships within the C-Suite of major Consumer & Tech brands You'll have the opportunity to build a team around you, and develop a substantial strategic consulting practice. Leverage a unique Tech & Data Asset to solve business challenges, and develop a valuable niche within media & advertising services This is an opportunity to lead a new strategic initiative within an already established organisation. You will have complete backing & collaboration from the company's CEO & Chief Strategy Officer, and work very closely on this project with those individuals.

OVERALL JOB PURPOSE To support the implementation, maintenance and continuous improvement of rigorous quality processes with a specific focus on Advanced Product Quality Planning (APQP) and New Product Introduction (NPI) To ensure the highest quality product, authorised as compliant to the relevant nuclear and safety regulations, is delivered to our customers without defect, on time. To act as a key interface within a Project Team, driving nuclear safety culture and 'right first time' delivery throughout a programme. KEY TASKS NPI & APQP Leadership: Lead the internal cross-functional team through the full APQP lifecycle ensuring all deliverables, from Feasibility Reviews to Volume Production are met on schedule. PPAP Management: Compile, review, and submit comprehensive Production Part Approval Process (PPAP) files (typically Level 3 submissions), ensuring all evidence (including Part Submission Warrants, Control Plans, and Process Flow Diagrams) meets customer specifications before volume manufacturing commences. Non-Conformance & Root Cause Resolution: Manage investigations and support the timely resolution of Customer, Supplier, and internal non-conformances. Champion Root Cause Analysis to ensure containment (within 24 hours) and implement robust corrective/preventative actions to prevent recurrence. Auditing & Oversight: Lead the internal, external, and supplier auditing programme. Conduct specific oversight of Special Processes (e.g., Welding, NDE) and conduct Launch Readiness Reviews (LRR) to verify supply chain capability. Compliance & Traceability: Ensure products have full traceability and conformance documentation throughout the manufacturing process. Oversee the collation of accurate Lifetime Records (LTR) and Material Certification (BS EN 10204 3.1), ensuring protection against Counterfeit, Fraudulent, and Suspect Items (CFSI). Process Control & Validation: Develop and maintain dynamic Control Plans (Prototype, Pre-production, and Production). Verify manufacturing readiness through trials and Process Capability studies (Cp/Cpk) to ensure OEE and capacity targets are met. Customer & Supplier Collaboration: Liaise with customers and suppliers to troubleshoot problems. Support the wider project team including the customer to ensure non-compliant or defective parts are excluded from the build process and compliant disposition is agreed upon. QUALIFICATIONS Qualification in Engineering (apprenticeship, HNC or degree) is desirable. Trained in QMS auditing techniques. SKILLS Essential Technical Skills: Extensive knowledge of APQP (Advanced Product Quality Planning) and PPAP (Production Part Approval Process) Proficiency in the core Quality tools: FMEA (Failure Mode and Effects Analysis), MSA (Measurement System Analysis) and SPC (Statistical Process Control). Trained in Statistical Analysis techniques and validation methods. Ability to read Engineering drawings and geometric tolerancing. Familiar with root cause analysis techniques (8D, 5 Whys, Fishbone diagrams) Software: Proficient user of Microsoft Office (Word, Excel, Outlook) Experience with statistical software (eg Minitab) for MSA and Capability studies is advantageous. Welding technologies - MIG and TIG (particularly Stainless Steel and Aluminium Alloys) and robotic welding. EXPERIENCE Essential: Substantial Quality experience within a similar, regulated manufacturing environment (Nuclear or High-Integrity sectors preferred) Experience managing Lifetime Records (LTR) and ensuring full lot traceability and material certification verification. Extensive auditing experience including internal, external and supplier audits. Proven experience in New Product Introduction (NPI) and managing the transition from prototype to volume production. Experience managing Special Processes (Welding, NDE, Coatings) and understanding 'Engineering Control' vs 'Manufacturing Control' classifications. Desirable: Weld types, weld processes and NDT (non-destructive testing) techniques Experience with ISO 14001, ISO 45001 and pressure equipment standards (eg AMSE BPVC, PD5500, EN13445 Welding technologies - MIG/TIG (Stainless Steel and Aluminium Alloys) and robotic welding KNOWLEDGE Essential: Understanding of Nuclear Safety Culture and how workmanship quality impacts nuclear safety. Knowledge of Counterfeit, Fraudulent and Suspect Items (CFSI) mitigation. Kaizen, Lean, Root Cause Analysis and Statistical Reporting Methods. Desirable: Understanding of Product Verification Levels (PVL) and risk-based inspection regimes. Foreign Material Exclusion (FME) practices. Weld types, weld processes and NDT (non-destructive testing) techniques. PERSONAL CHARACTERISTICS Intelligent Customer Mindset: Ability to drive supplier performance and act as a "guiding mind" for quality deliverables. Proactive Leader: Confident team player, able to work on own initiative and lead a team to achieve desired outcomes. Detail-Focused: Methodical approach to data analysis, record-keeping, and "Right First Time" documentation. Resilient: Ability to work well under pressure in a demanding, high-integrity environment. Communicator: Excellent communication skills with a professional and responsible approach. RISK FACTORS Risk of failure to maintain Company understanding and compliance of current regulations, which may result in a loss of accreditation and loss of business. Risk of allowing non-conformance in the manufacture of regulated components, resulting in avoidable reworks, delivery of non-conforming components or health and safety issues. Risk of unmonitored activities leading to key area failures, resulting in the potential for underperforming or non-conformance of product. MANDATORY RESPONSIBILITIES All employees of LTi Metaltech, LTi Vessco and Metaltest are expected to promote and reflect the values of the business when representing the Company and in their dealings with colleagues, customers, suppliers and services alike and to operate in accordance with them. All employees of LTi Metaltech, LTi Vessco or Metaltest, all staff have the following responsibilities: To reflect the values of LTi and operate in accordance with them, namely: Responsible, Collaborative and Progressive Take responsibility for aspects of Occupational Health & Safety (OH&S) over which they have control. Adhere to the Company's OH&S requirements (defined in OH&S policy, risk assessments, work instructions and through training, etc.). Take reasonable care for their own health and safety as well as the safety of other persons who may be affected by their acts or omissions. Work in accordance with information and training provided. Refrain from intentionally misusing or recklessly interfering with anything that has been provided for health and safety reasons. Report any hazardous defects in plant and equipment, or shortcomings in the existing safety arrangements, to a responsible person without delay. Not undertake any task for which authorisation and / or training has not been given. To promote and maintain a culture of continued Risk Assessments.

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge Asset Management Solutions (BAMS) is seeking a Quantitative Analyst to support the expansion of Risk and Modeling functionality within the BAMS suite. Specifically, you will provide guidance on model validation across a wide range of asset classes and will support the design and implementation of a variety of risk management functions including stress testing and Value-at-Risk. In this role, you will support the modeling and risk product strategy, business analysis, development lifecycle, and specifications. You will also be heavily involved with sales, marketing, implementation, and quality assurance initiatives within the context of their subject matter expertise. Responsibilities Work with clients analyzing and implementing their risk requirements (e.g. model selection, scenario design, risk views) and streamlining their workflow. Work with the Product Management team in building custom solutions for risk and valuation modeling projects. Sit on the Risk Development Panel to prioritize and champion product development and enhancement. Provide level 2 support for clients in risk modeling and pricing valuation. Be comfortable working with traders and quants in demanding environments on model validation projects. Required knowledge and skills An advanced degree in a quantitative discipline (mathematics, statistics, financial engineering, etc) 2-5 years of experience in financial market modeling or risk management (will consider more experienced candidates) Solid valuation knowledge of various instrument types including equity derivatives, credit derivatives, rates, and fixed income products. In depth knowledge of valuation models and portfolio risk strategies Additional desirable knowledge and skills Familiarity with popular model libraries such as Numerix, FinCad, QuantLib Working knowledge of popular trading risk systems such as Imagine, Front Arena, RiskMetrics, Calypso, Murex Working knowledge of trading strategies, accounting, and portfolio management principles Familiarity with various types and sources of market data Financial Risk Management Certification or CFA We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company and ultimately a community that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.

Overview Insight Investment is looking for a Data Platform Architect to join our growing team building our strategic data platform as we look to adopt best in class data governance and democratise data around the business. The successful candidate will play a pivotal role in delivering our data strategy, leveraging our data assets to the full, elevating our decision-making, streamlining processes, and drive innovation within our organisation. You will be part of the long-standing Data Platform team using an Agile approach to deliver solutions on top of our Cloud Platform, starting with Snowflake as a foundational component we will look to integrate other technologies and grow capability to meet the demands of the business. You will work closely with a variety of business areas and be involved in all aspects of the secure system development life cycle (S-SDLC). This role contributes to shaping Insight's Enterprise Architecture. You'll work across application and data domains to ensure delivery aligns with strategic architecture principles, supports governance, and enables scalable, secure, and compliant solutions. Role Responsibilities Define and continuously evolve the architectural vision for our Data Platform, ensuring it is scalable, resilient, and aligned with our enterprise-wide data strategy and long-term platform goals Representing the architectural perspective to integrate our Data Platform with our broader cloud estate. Advocate for seamless interoperability with wider applications and data flows and governance across the organisation. Implement enterprise-wide Data and Master Data Management practices to ensure data integrity, quality, and compliance across the platform. Maintain consistent, trusted master data and support architectural decisions that promote data governance and regulatory standards. Promote system and human access to data through well-governed, secure, and scalable mechanisms. Design access controls and metadata strategies that support democratised data usage while safeguarding privacy and security. Champion cost-aware architectural strategies that optimise resource utilisation, striking an effective balance between performance and budget. Oversee platform enhancements, integrations, and performance optimisation efforts. Ensure that all changes align with internal privacy, security, and compliance policies. Collaborate with business and technology stakeholders to understand evolving requirements and translate them into scalable, secure, and future-proof platform capabilities. Facilitate the onboarding of new data domains and analytical use cases. Ensure that all additions adhere to platform standards and contribute to the platform's maturity and strategic value. Advocate for excellence in metadata management, data quality, and access control. Foster a culture of continuous improvement and innovation across the technology teams and wider enterprise. Identify and support the reduction of our legacy technology estate. Experience Required Proven expertise in architecting and scaling data platforms using Snowflake, seamlessly integrated with Microsoft Azure. Deep understanding of modern data architectures, including Data Mesh, Data Fabric, Lakehouse, and ELT patterns. Familiar with data governance frameworks such as DCAM or equivalent, ensuring compliance and data stewardship. Can assess how architectural decisions impact business outcomes, platform performance and cost efficiency. Hands-on experience with Infrastructure-as-Code tools in Azure, particularly Terraform. Proficient in implementing CI/CD pipelines to support automated and reliable deployments. Strong grasp of Agile methodologies, with a track record of delivering iteratively in cross-functional teams. Demonstrates initiative and autonomy in solving complex technical challenges. Communicates abstract and complex concepts clearly to both technical and non-technical audiences. Committed to software engineering best practices, with a focus on quality, maintainability, and correctness. Collaborates effectively with stakeholders, end users, and team members, fostering a culture of shared ownership. Actively pursues continuous learning, driving the adoption of innovative technologies and approaches. Takes ownership of mistakes, works collaboratively to resolve issues, and implements long-term improvements based on lessons learned. Desired Skills Exposure to financial services or regulated environments is advantageous but not essential. Docker / Snowpark container services Streaming and related technologies such as Apache Kafka, Azure Event Hub Integration with Collibra Proficiency in Python Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:

Principal Product Data Scientist I Viator About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. What you will do: As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What You'll bring to the team: Core Qualifications: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering). Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Current Company Current Title Application Consent Select Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect . click apply for full job details

Senior Machine Learning Scientist (Viator) London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role offers flexibility, allowing you to work either on-site hybrid or remotely from the UK, Poland, or Portugal. Occasional travel to company offices may be required If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf

Overview Miryco Consultants are excited to partner with a rapidly growing, VC-backed SaaS firm specializing in RegTech, aimed at revolutionizing regulatory reporting and compliance for major financial institutions. Their innovative platform automates the reconciliation, validation, and submission of complex derivative transaction data, enhancing accuracy, efficiency, and transparency across capital markets. As the company scales its data and analytics capabilities, they are on the lookout for a visionary and technically adept AI & ML Lead to drive machine learning strategy, model development, and intelligent automation initiatives throughout the platform. This opportunity is perfect for those with a solid ML engineering background, exceptional stakeholder engagement skills, and a strong understanding of financial services data, regulatory logic, or post-trade workflows. Location: London Please note, our client is unable to offer sponsorship for this opportunity. If you do not hear from us within five working days after submitting your application, it means you have not been shortlisted for this role. However, we will reach out should other opportunities arise that align with your skills. For similar roles, please contact Josh Hatton and Tom Parker, and follow Miryco Consultants on LinkedIn. Responsibilities Take ownership of the firm's AI/ML strategy, aligning innovative use cases with product objectives and addressing client challenges in the financial services sector. Lead the design and development of ML models for tasks including classification, anomaly detection, NLP, and predictive analytics, utilizing tools such as Python, scikit-learn, PyTorch, or others. Collaborate with data engineering teams to build reliable, secure, and scalable data pipelines that facilitate training, inference, and monitoring of ML models. Drive the operationalization of ML workflows with modern MLOps tools and frameworks, ensuring reproducibility, proper versioning, and monitoring of models in production. Design solutions that accommodate complex structured financial data like trade reporting, EMIR/CFTC records, and regulatory schemas. Work closely with product management and financial services domain experts to translate ambiguous challenges into actionable ML initiatives, partnering with engineering teams to embed models into the platform. Keep abreast of current industry and academic trends in AI/ML, particularly those relevant to RegTech, financial data analysis, or document intelligence. Produce clear documentation and provide training to internal teams regarding the design, function, and behavior of ML systems. Required Skills & Experience Demonstrated experience designing and deploying machine learning models in production settings. Strong proficiency in Python along with familiarity in ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience implementing MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Knowledge of financial data models, structured datasets, and data validation techniques. Understanding of regulatory reporting, trade lifecycle data, or workflows in capital markets. Experience with cloud platforms like AWS, GCP, or Azure and scalable data solutions. Exceptional communication skills with the ability to convey findings to both technical and non-technical stakeholders. Nice to Have Experience in RegTech, capital markets, or post-trade analytics. Familiarity with Snowflake, dbt, or related cloud data warehousing technologies. Background in anomaly detection, rule-based AI, NLP, or data reconciliation. Hands-on knowledge of version-controlled notebooks, CI/CD for ML, or containerization (Docker/Kubernetes). Core Competencies Strong problem-solver with a data-driven approach. Practical and commercially aware in applying AI/ML solutions to financial services use cases. Independent thinker who thrives in dynamic and uncertain environments. Collaborative team player, eager to exchange knowledge and insights. Dedicated to ethical AI practices, data integrity, and model explainability. Company: Miryco Consultants Ltd Educational level: Senior (5+ years of experience) Language requirements: Level of experience (years): Senior (5+ years of experience)