About us At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you. About the role We're seeking Senior Python Developers to join our back-end development team. This is a varied and challenging programming role. Tasks could include writing code to manage incoming data, working with AI Engineers to analyse huge data sets, or writing Restful APIs in Django to support the React front end. Our ideal candidate takes pride in their work - producing clean, tested, beautiful code. Rather than give you a detailed set of requirements, we encourage engineers to take responsibility for solving the problem. There are many opportunities to innovate as you collaborate with stakeholders to design and implement new features. You will be well supported to continue your professional development. This includes an annual conference allowance, a budget for books and a monthly session with your manager to identify and track your learning goals. As Xelix continues to grow opportunities for you to develop your career becoming a Team Lead, Project Lead or Staff Engineer could be available to the right candidate. What you'll be doing Implementing robust and scalable solutions in Python. Developing, using and designing REST APIs to efficiently deliver application components. Implementing performance improvement strategies. Ensuring the quality of code by writing comprehensive tests and participating in code reviews. What you'll bring 4+ years of Python coding professional experience Ability to learn and apply new technology quickly Ability to effectively communicate complex technical concepts to team members and stakeholders. Familiarity with coding in Django and the Django Rest Framework, or Flask Web frameworks Degree in Computer Science (or similar), at 2:1 or above Amazon Web Services SQL / PostgreSQL Build pipeline and CI with GitHub, Jenkins, Docker, Terraform What we offer in return Competitive salary of £70,000 - £95,000 depending on experience ️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days Hybrid working with one day a week from our dog-friendly Hoxton office On-site gym and cycle to work scheme ️ Employee discount at over 100 retailers Comprehensive private medical & dental cover with Vitality Enhanced parental leave pay Learning & development culture - £1,000 personal annual budget We're carbon neutral and are working towards ambitious carbon reduction goals Lots of team socials & activities ️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process Introductory Call - A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview - A 30-45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation - A role relevant exercise to demonstrate your skills and approach. Final On site Interview - An in person meeting with our senior leadership team and co founders at our office. We strive to make the process clear, efficient, and respectful of your time.
Apr 15, 2026
Full time
About us At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you. About the role We're seeking Senior Python Developers to join our back-end development team. This is a varied and challenging programming role. Tasks could include writing code to manage incoming data, working with AI Engineers to analyse huge data sets, or writing Restful APIs in Django to support the React front end. Our ideal candidate takes pride in their work - producing clean, tested, beautiful code. Rather than give you a detailed set of requirements, we encourage engineers to take responsibility for solving the problem. There are many opportunities to innovate as you collaborate with stakeholders to design and implement new features. You will be well supported to continue your professional development. This includes an annual conference allowance, a budget for books and a monthly session with your manager to identify and track your learning goals. As Xelix continues to grow opportunities for you to develop your career becoming a Team Lead, Project Lead or Staff Engineer could be available to the right candidate. What you'll be doing Implementing robust and scalable solutions in Python. Developing, using and designing REST APIs to efficiently deliver application components. Implementing performance improvement strategies. Ensuring the quality of code by writing comprehensive tests and participating in code reviews. What you'll bring 4+ years of Python coding professional experience Ability to learn and apply new technology quickly Ability to effectively communicate complex technical concepts to team members and stakeholders. Familiarity with coding in Django and the Django Rest Framework, or Flask Web frameworks Degree in Computer Science (or similar), at 2:1 or above Amazon Web Services SQL / PostgreSQL Build pipeline and CI with GitHub, Jenkins, Docker, Terraform What we offer in return Competitive salary of £70,000 - £95,000 depending on experience ️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days Hybrid working with one day a week from our dog-friendly Hoxton office On-site gym and cycle to work scheme ️ Employee discount at over 100 retailers Comprehensive private medical & dental cover with Vitality Enhanced parental leave pay Learning & development culture - £1,000 personal annual budget We're carbon neutral and are working towards ambitious carbon reduction goals Lots of team socials & activities ️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process Introductory Call - A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview - A 30-45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation - A role relevant exercise to demonstrate your skills and approach. Final On site Interview - An in person meeting with our senior leadership team and co founders at our office. We strive to make the process clear, efficient, and respectful of your time.
A dynamic scale-up in the fintech space is looking for a Senior Python Developer to join their team in Greater London. In this role, you'll implement robust solutions, design REST APIs, and ensure code quality through testing and reviews. The company offers a competitive salary between £70,000 and £95,000, hybrid working arrangements, and numerous learning opportunities. Ideal candidates should have over 4 years of Python experience and familiarity with Django, AWS, and CI/CD pipelines.
Apr 15, 2026
Full time
A dynamic scale-up in the fintech space is looking for a Senior Python Developer to join their team in Greater London. In this role, you'll implement robust solutions, design REST APIs, and ensure code quality through testing and reviews. The company offers a competitive salary between £70,000 and £95,000, hybrid working arrangements, and numerous learning opportunities. Ideal candidates should have over 4 years of Python experience and familiarity with Django, AWS, and CI/CD pipelines.
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
Apr 15, 2026
Full time
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
OUR MISSION To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head. What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million. And we're a long way from done! Want to make your mark within a fast-moving industry? We are seeking a highly motivated and detail oriented Lead Data & Insight Analyst to join our Central Insight & Analytics team here at Carwow. You will play a key role in improving our proposition for users on both sides of our marketplace, through analysing and interpreting data to provide actionable insights, and developing crucial business reporting to contribute to our data driven decision making. You will utilise your commercial awareness and analytical expertise to discover the insights that change the status quo and accelerate the growth of the company exponentially. The role sits within the Analytics & Data Science team and will be partnering with stakeholders from across the organisation, delivering the most impactful analysis by fully understanding business questions and problems that we need to solve. WHAT YOU'LL BE DOING Strategic Analytical Partner: Act as a key advisor to Commercial, Product, and Marketing leaders, helping them define the insights needed to guide our growth. Empower & Mentor: Directly lead and coach a small team of high-performing analysts, helping them sharpen their technical skills and master softer skills too. Proactive Roadmap Ownership: Move beyond reactive requests to shape and deliver quarterly analytical roadmaps that tackle the business's most complex challenges. Drive Commercial Impact: Use your analytical expertise to proactively identify revenue opportunities, cost efficiencies and influence strategic decisions across our marketplace. Raise the Bar: Set the standard for analytical excellence at Carwow, collaborating with Data Engineering and Data Science to deliver high-quality solutions. WHAT YOU'LL NEED Analytical Leadership: Proven experience not just performing analysis, but guiding others and influencing senior stakeholders with data. Technical Excellence: Advanced SQL skills are a must, and you should be comfortable using (or leading teams that use) Python to deepen analysis. Commercial Mindset: You have a deep understanding of marketplace dynamics and a passion for seeing your insights translate into bottom-line business growth. Complex Problem Solving: You thrive on ambiguity and can break down high-level business problems into structured, executable analytical projects. Exceptional Communication: You can translate complex data into clear, persuasive narratives for stakeholders at all levels, ensuring insights are understood and acted upon. Commercial & Marketing Synergy: While your core strength is commercial, an understanding of marketing analytics is a significant plus. Desirable Experience: While not required, experience with web analytics tools (like Google Analytics or Amplitude) or working within a marketplace/automotive environment is a definite plus. Please note: We know that no candidate will be the perfect match for all we've listed in this posting, so we'd encourage you to apply if you feel you're close to the brief but not an exact match. INTERVIEW PROCESS Step 1: Talent Screening Step 2: Hiring Manager Interview Step 3: Take-Home SQL Test Step 4: Technical Task with Presentation Step 5: Values Interview WHAT'S IN IT FOR YOU Hybrid working Competitive salary to fund that dream holiday to Bali Matched pension contributions for a peaceful retirement Share options - when we thrive, so do you! Vitality Private Healthcare, for peace of mind, plus eyecare vouchers Life Assurance for (even more) peace of mind Monthly coaching sessions with Spill - our mental wellbeing partner Enhanced holiday package, plus Bank Holidays 28 days annual leave 1 day for your wedding 1 day off when you move house - because moving is hard enough without work! For your third year anniversary, get 30 days of annual leave per year For your tenth year anniversary, get 35 days of annual leave per year Option to buy 3 extra days of holiday per year Work from abroad for a month Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies Bubble childcare support and discounted nanny fees for little ones The latest tech (Macbook or Surface) to power your gif-sending talents Up to £500/€550 home office allowance for that massage chair you've been talking about Generous learning and development budget to help you master your craft Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for Refer a friend, get paid. Repeat for infinite money Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.
Apr 15, 2026
Full time
OUR MISSION To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head. What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million. And we're a long way from done! Want to make your mark within a fast-moving industry? We are seeking a highly motivated and detail oriented Lead Data & Insight Analyst to join our Central Insight & Analytics team here at Carwow. You will play a key role in improving our proposition for users on both sides of our marketplace, through analysing and interpreting data to provide actionable insights, and developing crucial business reporting to contribute to our data driven decision making. You will utilise your commercial awareness and analytical expertise to discover the insights that change the status quo and accelerate the growth of the company exponentially. The role sits within the Analytics & Data Science team and will be partnering with stakeholders from across the organisation, delivering the most impactful analysis by fully understanding business questions and problems that we need to solve. WHAT YOU'LL BE DOING Strategic Analytical Partner: Act as a key advisor to Commercial, Product, and Marketing leaders, helping them define the insights needed to guide our growth. Empower & Mentor: Directly lead and coach a small team of high-performing analysts, helping them sharpen their technical skills and master softer skills too. Proactive Roadmap Ownership: Move beyond reactive requests to shape and deliver quarterly analytical roadmaps that tackle the business's most complex challenges. Drive Commercial Impact: Use your analytical expertise to proactively identify revenue opportunities, cost efficiencies and influence strategic decisions across our marketplace. Raise the Bar: Set the standard for analytical excellence at Carwow, collaborating with Data Engineering and Data Science to deliver high-quality solutions. WHAT YOU'LL NEED Analytical Leadership: Proven experience not just performing analysis, but guiding others and influencing senior stakeholders with data. Technical Excellence: Advanced SQL skills are a must, and you should be comfortable using (or leading teams that use) Python to deepen analysis. Commercial Mindset: You have a deep understanding of marketplace dynamics and a passion for seeing your insights translate into bottom-line business growth. Complex Problem Solving: You thrive on ambiguity and can break down high-level business problems into structured, executable analytical projects. Exceptional Communication: You can translate complex data into clear, persuasive narratives for stakeholders at all levels, ensuring insights are understood and acted upon. Commercial & Marketing Synergy: While your core strength is commercial, an understanding of marketing analytics is a significant plus. Desirable Experience: While not required, experience with web analytics tools (like Google Analytics or Amplitude) or working within a marketplace/automotive environment is a definite plus. Please note: We know that no candidate will be the perfect match for all we've listed in this posting, so we'd encourage you to apply if you feel you're close to the brief but not an exact match. INTERVIEW PROCESS Step 1: Talent Screening Step 2: Hiring Manager Interview Step 3: Take-Home SQL Test Step 4: Technical Task with Presentation Step 5: Values Interview WHAT'S IN IT FOR YOU Hybrid working Competitive salary to fund that dream holiday to Bali Matched pension contributions for a peaceful retirement Share options - when we thrive, so do you! Vitality Private Healthcare, for peace of mind, plus eyecare vouchers Life Assurance for (even more) peace of mind Monthly coaching sessions with Spill - our mental wellbeing partner Enhanced holiday package, plus Bank Holidays 28 days annual leave 1 day for your wedding 1 day off when you move house - because moving is hard enough without work! For your third year anniversary, get 30 days of annual leave per year For your tenth year anniversary, get 35 days of annual leave per year Option to buy 3 extra days of holiday per year Work from abroad for a month Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies Bubble childcare support and discounted nanny fees for little ones The latest tech (Macbook or Surface) to power your gif-sending talents Up to £500/€550 home office allowance for that massage chair you've been talking about Generous learning and development budget to help you master your craft Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for Refer a friend, get paid. Repeat for infinite money Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.
About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in house marketing capabilities, creating highly engaging, performance led content that proves what our products can do and resonates with a passionate, fast growing community around the brand. From throwing phones off dams to launching category defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially minded Data Analyst to join our fast growing team in the UK. This is a high impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision making across the company. You'll work closely with cross functional teams (Growth, Product, Marketing, and Leadership), championing the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data driven decision making. You are detail oriented, able to see the bigger picture, and adept at transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data driven culture, empowering the organisation through informed decision making and self sufficient data management. Key Responsibilities Conduct comprehensive data analysis to support business decision making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor KPIs, OKRs, and enable cross departmental data access. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross department initiatives to drive value (e.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling). Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders, acting as a point of call for data related questions. How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of Mous's data infrastructure. Building high quality, durable dashboards and data models that improve access to cross departmental data. Proactively identifying and resolving opportunities and inefficiencies. Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices. Skills requirements Hard skills 0 2 years of experience in a data related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred). Soft skills Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, able to translate insights clearly for technical, non technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high energy culture. Benefits include Significant opportunity for growth, ownership, and career progression. Competitive salary reflective of experience and impact. 30% Friends & Family discount on all Mous products. 25 days' holiday + 8 bank holidays. 1 month paid leave after 5 years' service. Cycle to Work Scheme. Charlie HR perks and discounts. Regular socials, events, and on site activities (including an on site gym). Our Values Get Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.
Apr 15, 2026
Full time
About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in house marketing capabilities, creating highly engaging, performance led content that proves what our products can do and resonates with a passionate, fast growing community around the brand. From throwing phones off dams to launching category defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially minded Data Analyst to join our fast growing team in the UK. This is a high impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision making across the company. You'll work closely with cross functional teams (Growth, Product, Marketing, and Leadership), championing the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data driven decision making. You are detail oriented, able to see the bigger picture, and adept at transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data driven culture, empowering the organisation through informed decision making and self sufficient data management. Key Responsibilities Conduct comprehensive data analysis to support business decision making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor KPIs, OKRs, and enable cross departmental data access. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross department initiatives to drive value (e.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling). Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders, acting as a point of call for data related questions. How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of Mous's data infrastructure. Building high quality, durable dashboards and data models that improve access to cross departmental data. Proactively identifying and resolving opportunities and inefficiencies. Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices. Skills requirements Hard skills 0 2 years of experience in a data related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred). Soft skills Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, able to translate insights clearly for technical, non technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high energy culture. Benefits include Significant opportunity for growth, ownership, and career progression. Competitive salary reflective of experience and impact. 30% Friends & Family discount on all Mous products. 25 days' holiday + 8 bank holidays. 1 month paid leave after 5 years' service. Cycle to Work Scheme. Charlie HR perks and discounts. Regular socials, events, and on site activities (including an on site gym). Our Values Get Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.
About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in-house marketing capabilities, creating highly engaging, performance-led content that proves what our products can do and resonates with a passionate, fast-growing community around the brand. From throwing phones off dams to launching category-defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially-minded Data Analyst to join our fast-growing team here in the UK. This is a high-impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision-making across the company. You'll work closely with cross-functional teams (Growth, Product, Marketing, and Leadership), to champion the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast-paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data-driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data-driven decision making. You are not only detail-oriented but also capable of seeing the bigger picture, transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data-driven culture, empowering the organisation through informed decision-making and self-sufficient data management. Key Responsibilities: Conduct comprehensive data analysis to support business decision-making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor key performance indicators (KPIs) and objectives and key results (OKRs), enabling access to cross-departmental data. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross-department initiatives to drive value. E.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling. Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders while acting as a point of call for data-related questions. ️How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of our data infrastructure at Mous Building high-quality, durable dashboards and data models that improve access to cross-departmental data Proactively identifying and resolving opportunities and inefficiencies Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices Skills requirements: Hard skills: 0-2 years of experience in a data-related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred) Soft skills: Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, with the ability to translate insights clearly for technical, non-technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have: Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high-energy culture. Benefits include: Significant opportunity for growth, ownership, and career progression Competitive salary reflective of experience and impact 30% Friends & Family discount on all Mous products 25 days' holiday + 8 bank holidays 1 month paid leave after 5 years' service Cycle to Work Scheme Charlie HR perks and discounts Regular socials, events, and on-site activities (including an on-site gym) Our Values G et Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.
Apr 15, 2026
Full time
About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in-house marketing capabilities, creating highly engaging, performance-led content that proves what our products can do and resonates with a passionate, fast-growing community around the brand. From throwing phones off dams to launching category-defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially-minded Data Analyst to join our fast-growing team here in the UK. This is a high-impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision-making across the company. You'll work closely with cross-functional teams (Growth, Product, Marketing, and Leadership), to champion the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast-paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data-driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data-driven decision making. You are not only detail-oriented but also capable of seeing the bigger picture, transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data-driven culture, empowering the organisation through informed decision-making and self-sufficient data management. Key Responsibilities: Conduct comprehensive data analysis to support business decision-making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor key performance indicators (KPIs) and objectives and key results (OKRs), enabling access to cross-departmental data. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross-department initiatives to drive value. E.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling. Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders while acting as a point of call for data-related questions. ️How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of our data infrastructure at Mous Building high-quality, durable dashboards and data models that improve access to cross-departmental data Proactively identifying and resolving opportunities and inefficiencies Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices Skills requirements: Hard skills: 0-2 years of experience in a data-related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred) Soft skills: Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, with the ability to translate insights clearly for technical, non-technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have: Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high-energy culture. Benefits include: Significant opportunity for growth, ownership, and career progression Competitive salary reflective of experience and impact 30% Friends & Family discount on all Mous products 25 days' holiday + 8 bank holidays 1 month paid leave after 5 years' service Cycle to Work Scheme Charlie HR perks and discounts Regular socials, events, and on-site activities (including an on-site gym) Our Values G et Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.
Reporting to: Director of Performance About the Role Somerce is a TikTok Shop specialist agency focused on driving GMV growth for brands. We work with some of the fastest-growing beauty, fashion, lifestyle and FMCG brands in the UK, US and EU, managing everything from live commerce and affiliates to paid media and trading strategy. We have a unique role for a data analyst / prompt engineer to work at the cutting edge of social commerce and AI, who will suit a self starter which is keen to leave their mark in data and marketing. Key Responsibilities Support account managers to ensure they have relevant data for client performance Optimise and automate analysis processes to maximise return for client and identify for account managers where they are gaps in performance Provide data transparency through reports from senior to junior staff, and clients Evangelise data story telling AI and Revenue Generation Build an AI and data pipeline that enables the team spot revenue and costs opportunities Build opportunities into plans for clients and present ideas back to clients Explore and implement AI agent solutions to improve efficiency in reporting, research, and campaign management. Support data integrity across platforms, ensuring consistency and accuracy. Ensure data security is a top priority for all clients Skills & Experience Strong knowledge of paid social platforms (Meta, TikTok, Google Ads). Proficiency in SQL and Python for data analysis and automation. Experience with APIs and data integration. Strong Excel/Google Sheets skills. Understanding and demonstrated usage of AI LLM and agent frameworks is required Experience or knowledge of building or deploying AI agents for automation, data analysis, or research tasks. Ability to understand marketing data and translate into actionable recommendations. Experience in building data pipelines Experience in an agency setting is a plus. Personal Attributes Analytical thinker with attention to detail. Problem-solver with a focus on efficiency. Curious about AI applications in marketing and operations. Comfortable working independently and with cross-functional teams. Excellent written and verbal communication skills Self starter What We Offer Exposure to both marketing and technical problem-solving. Opportunity to shape how the agency works at scale. Growth path into senior operations
Apr 15, 2026
Full time
Reporting to: Director of Performance About the Role Somerce is a TikTok Shop specialist agency focused on driving GMV growth for brands. We work with some of the fastest-growing beauty, fashion, lifestyle and FMCG brands in the UK, US and EU, managing everything from live commerce and affiliates to paid media and trading strategy. We have a unique role for a data analyst / prompt engineer to work at the cutting edge of social commerce and AI, who will suit a self starter which is keen to leave their mark in data and marketing. Key Responsibilities Support account managers to ensure they have relevant data for client performance Optimise and automate analysis processes to maximise return for client and identify for account managers where they are gaps in performance Provide data transparency through reports from senior to junior staff, and clients Evangelise data story telling AI and Revenue Generation Build an AI and data pipeline that enables the team spot revenue and costs opportunities Build opportunities into plans for clients and present ideas back to clients Explore and implement AI agent solutions to improve efficiency in reporting, research, and campaign management. Support data integrity across platforms, ensuring consistency and accuracy. Ensure data security is a top priority for all clients Skills & Experience Strong knowledge of paid social platforms (Meta, TikTok, Google Ads). Proficiency in SQL and Python for data analysis and automation. Experience with APIs and data integration. Strong Excel/Google Sheets skills. Understanding and demonstrated usage of AI LLM and agent frameworks is required Experience or knowledge of building or deploying AI agents for automation, data analysis, or research tasks. Ability to understand marketing data and translate into actionable recommendations. Experience in building data pipelines Experience in an agency setting is a plus. Personal Attributes Analytical thinker with attention to detail. Problem-solver with a focus on efficiency. Curious about AI applications in marketing and operations. Comfortable working independently and with cross-functional teams. Excellent written and verbal communication skills Self starter What We Offer Exposure to both marketing and technical problem-solving. Opportunity to shape how the agency works at scale. Growth path into senior operations
Senior Software Engineer - Research Management Systems (Analytics & Reporting) Location London Business Area Engineering and CTO Ref # Description & Requirements Research Management Systems (RMS) provides structure, control, efficiency and transparency to the investment research process of institutional investors. Every client has their own approach to identifying investible opportunities, it forms a key part of their strategy for beating the market. RMS seeks to provide custom solutions that align to the unique needs of every client, in a scalable way. We are a recently formed engineering group and a rapidly growing part of the business. RMS has multiple teams, in multiple locations, each with a clear mission. The mission of the Analytics & Reporting team is to give research leaders visibility into the internal operations of their team to empower evidence driven decisions about the process, the tools and the team. This transparency is important in becoming more effective, in sustaining their effectiveness and in demonstrating their effectiveness to prospective partners. About the Role We're seeking a Senior Full Stack Software Engineer with experience in scalable, distributed system design and ideally, some familiarity with our core languages (Python, C++ & JavaScript). Experience of business intelligence or operational analytics would be helpful as our mission requires us to build a new analytics platform providing this. You will influence key technical decisions for us and thereby build a system that will influence key decisions and processes for our clients. We'll trust you to: Design and build core components of our analytics platform as part of a team. Lead projects and technical decision making. Ensure the team adopts best engineering practices across the entire SDLC. Collaborate with a broad set of stakeholders including your immediate team, the broader RMS group, other parts of the engineering community, sales, implementations, support, product managers and user experience experts. Support and mentor less experienced colleagues as appropriate. Embrace an inclusive approach to communication and collaboration. You'll need to have: Proven experience in software engineering, with a strong background in designing and building distributed systems or data platforms. Proficiency in an object oriented language with a demonstrable ability to write production quality code. Experience with OLTP and OLAP technologies and a demonstrable familiarity with query languages. Excellent communication skills and ability to collaborate across interdisciplinary teams in a variety of locations. We'd love to see: Proficiency in Python, C++ and JavaScript Experience with, or an interest in, data visualisation and communicating insights as clearly and impactfully as possible. Familiarity with industry standard and open source analytics tools such as PowerBI, Tableau, Trino. Experience with semantic data modelling. Familiarity with container technologies (Docker, Kubernetes). Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Apr 15, 2026
Full time
Senior Software Engineer - Research Management Systems (Analytics & Reporting) Location London Business Area Engineering and CTO Ref # Description & Requirements Research Management Systems (RMS) provides structure, control, efficiency and transparency to the investment research process of institutional investors. Every client has their own approach to identifying investible opportunities, it forms a key part of their strategy for beating the market. RMS seeks to provide custom solutions that align to the unique needs of every client, in a scalable way. We are a recently formed engineering group and a rapidly growing part of the business. RMS has multiple teams, in multiple locations, each with a clear mission. The mission of the Analytics & Reporting team is to give research leaders visibility into the internal operations of their team to empower evidence driven decisions about the process, the tools and the team. This transparency is important in becoming more effective, in sustaining their effectiveness and in demonstrating their effectiveness to prospective partners. About the Role We're seeking a Senior Full Stack Software Engineer with experience in scalable, distributed system design and ideally, some familiarity with our core languages (Python, C++ & JavaScript). Experience of business intelligence or operational analytics would be helpful as our mission requires us to build a new analytics platform providing this. You will influence key technical decisions for us and thereby build a system that will influence key decisions and processes for our clients. We'll trust you to: Design and build core components of our analytics platform as part of a team. Lead projects and technical decision making. Ensure the team adopts best engineering practices across the entire SDLC. Collaborate with a broad set of stakeholders including your immediate team, the broader RMS group, other parts of the engineering community, sales, implementations, support, product managers and user experience experts. Support and mentor less experienced colleagues as appropriate. Embrace an inclusive approach to communication and collaboration. You'll need to have: Proven experience in software engineering, with a strong background in designing and building distributed systems or data platforms. Proficiency in an object oriented language with a demonstrable ability to write production quality code. Experience with OLTP and OLAP technologies and a demonstrable familiarity with query languages. Excellent communication skills and ability to collaborate across interdisciplinary teams in a variety of locations. We'd love to see: Proficiency in Python, C++ and JavaScript Experience with, or an interest in, data visualisation and communicating insights as clearly and impactfully as possible. Familiarity with industry standard and open source analytics tools such as PowerBI, Tableau, Trino. Experience with semantic data modelling. Familiarity with container technologies (Docker, Kubernetes). Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Job Summary: The Trading and Risk Management System (TRMS) team is responsible for developing, supporting and maintaining our front and back office trading web applications using Python, the proprietary Beacon Dependency Graph and Glint, the Beacon UI framework.The successful candidate will contribute to the growth of the platform, exercising an eye for detail across all aspects of the development lifecycle while maintaining organisation and good code hygiene. This engineer should be able to effectively communicate both with internal teams and with clients.The successful candidate will help the TRMS platform continue to grow, exercising an eye for detail across all aspects of the development lifecycle while maintaining organisation and good code hygiene. This Senior Software Engineer should be able to effectively communicate both with internal teams and with clients. The successful candidate values teamwork and collaboration, as well as continuous learning and application of new technologies and trends. With progression in this track, the responsibilities expand to include leading teams, designing complex software systems, providing mentorship, and managing cross-functional integration. Responsibilities: Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested. Effectively break down and solve complex problems that require research or collaboration. Communicate effectively, regardless of medium, audience, or timing. Work with internal and external clients to gather and analyze requirements and product enhancements Participate in code reviews and provide technical feedback to the team Strong command of multiple levels of automated testing (e.g., unit, integration, contract, end-to-end, etc.). Initiate design and feature discussions, advocating for improvements in software performance, scalability, reliability, and security. Coordinate with other teams to ensure the successful integration of software applications. Troubleshoot and resolve production incidents quickly and effectively. Understand, respond to, and address customer needs and issues with empathy and timeliness. Required Skills: Strong experience in Python Proficiency in Javascript and React would be highly beneficial Good knowledge of software methodologies, tools, and typical architectural patterns. Experience with trading and risk management solutions is preferred, but not essential. Experience designing and building customer facing applications/components Self-starter who is enthusiastic for software work in a software-as-a-service company. Driven by client satisfaction. Strong teamwork skills. Ability to manage own time and deliver expected results on time. Commitment to continuous learning and improvement. Exceptional analytical skills. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: Degree in Computer Science or related field. 7+ years of software development experience using Python or any other OOP languages. Salary Range $156,400.00 - $210,841.00 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.
Apr 15, 2026
Full time
Job Summary: The Trading and Risk Management System (TRMS) team is responsible for developing, supporting and maintaining our front and back office trading web applications using Python, the proprietary Beacon Dependency Graph and Glint, the Beacon UI framework.The successful candidate will contribute to the growth of the platform, exercising an eye for detail across all aspects of the development lifecycle while maintaining organisation and good code hygiene. This engineer should be able to effectively communicate both with internal teams and with clients.The successful candidate will help the TRMS platform continue to grow, exercising an eye for detail across all aspects of the development lifecycle while maintaining organisation and good code hygiene. This Senior Software Engineer should be able to effectively communicate both with internal teams and with clients. The successful candidate values teamwork and collaboration, as well as continuous learning and application of new technologies and trends. With progression in this track, the responsibilities expand to include leading teams, designing complex software systems, providing mentorship, and managing cross-functional integration. Responsibilities: Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested. Effectively break down and solve complex problems that require research or collaboration. Communicate effectively, regardless of medium, audience, or timing. Work with internal and external clients to gather and analyze requirements and product enhancements Participate in code reviews and provide technical feedback to the team Strong command of multiple levels of automated testing (e.g., unit, integration, contract, end-to-end, etc.). Initiate design and feature discussions, advocating for improvements in software performance, scalability, reliability, and security. Coordinate with other teams to ensure the successful integration of software applications. Troubleshoot and resolve production incidents quickly and effectively. Understand, respond to, and address customer needs and issues with empathy and timeliness. Required Skills: Strong experience in Python Proficiency in Javascript and React would be highly beneficial Good knowledge of software methodologies, tools, and typical architectural patterns. Experience with trading and risk management solutions is preferred, but not essential. Experience designing and building customer facing applications/components Self-starter who is enthusiastic for software work in a software-as-a-service company. Driven by client satisfaction. Strong teamwork skills. Ability to manage own time and deliver expected results on time. Commitment to continuous learning and improvement. Exceptional analytical skills. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: Degree in Computer Science or related field. 7+ years of software development experience using Python or any other OOP languages. Salary Range $156,400.00 - $210,841.00 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.
Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success. Senior Python Developer (AI Augmented) Level: Senior (5-7 years) Location: London / Hybrid policy Employment type: Permanent Reporting to: Lead Architect Why this role exists We're modernising a complex back end and need senior developers who can move fast with quality-leveraging AI augmented coding tools (Claude, GitHub Copilot, CodeLlama/Codex, etc.) to accelerate analysis of the current system and delivery of well tested, maintainable features. You'll pair program frequently, practice TDD, and own your code from dev to prod. What you'll do Build & ship Python services: Design, implement, and maintain backend services/APIs (Django or FastAPI), with clear boundaries, strong typing, and robust observability. Use AI for the heavy lifting: Employ AI tools to analyse legacy code, draft migration plans, generate scaffolds/tests, and speed up refactors-while applying human judgment to validate outputs and manage risks. TDD as standard: Write tests first and automate end to end validation (e.g., Playwright for web flows; pytest for unit/integration). Pair program often: Co design and co code to raise quality, share context, and keep momentum; rotate pairs for knowledge spread. Own the path to production: Build and maintain CI/CD pipelines; configure environments; instrument services (logging/metrics/traces); champion release health. Provision infra as code: Use Terraform to define cloud resources; keep everything reproducible and reviewable. Data & persistence: Model and optimise relational stores (SQL), write migrations, and tune performance. Engineering rigor: Code reviews, ADRs, threat modelling, performance profiling, and continuous refactoring. Team leadership: Mentor peers, help refine tickets, contribute to roadmaps, and uphold engineering standards. What you'll bring Must haves 5-7 years professional software development experience, with a very strong Python background. Hands on experience with AI augmented coding (e.g., Claude, GitHub Copilot, Codex), including practical understanding of pros/cons (context windows, hallucinations, privacy, licensing, code provenance, and when not to use AI). Solid web service development with Django or FastAPI. Strong SQL skills (schema design, migrations, query optimisation). Proven TDD mindset (unit/integration) and UI/E2E testing with Playwright. DevOps fluency: build/deploy your own pipelines (GitHub Actions/Azure DevOps/GitLab CI, etc.), containerisation (Docker), environment configuration, and infrastructure as code with Terraform. Comfortable with pair programming as a default practice; excellent communication and collaboration. Bias for action: you work quickly, test thoroughly, and keep quality high. Nice to haves Java experience (helpful for legacy interop; not essential). Cloud experience (AWS/Azure/GCP), including networking, secrets, and observability stacks (OpenTelemetry/Prometheus/Grafana). Security by design: OWASP, dependency scanning, SBOMs, and least privilege IAM. Performance tuning at API/database layers. How we build (principles) AI accelerated, human validated: Use AI to explore, summarise, and draft-engineers remain accountable for correctness, security, and maintainability. Test first: Every change includes tests; flaky tests are treated as production bugs. Small batches: Short lived branches, frequent merges, and automated deploys. Observability: SLOs, golden signals, and actionable alerts. Code health: Continuous refactoring, dependency hygiene, and ADRs for key decisions. We encourage you to apply, even if you don't meet all of the requirements. We value your growth potential and enthusiasm! What we offer Individual training budget and exam fees for certifications Flexible working hours and hybrid working model Company laptop and needed equipment Local package such as up to 7% matched pension contributions, extensive private health care, Bupa dental plan, and a seasonal ticket loan, enhanced maternity and parental leave, gym expense or well being monthly and mobile phone allowance Please read our Recruitment Privacy Policy before applying. All applicants must have the right to work in the UK. About Nordcloud Nordcloud is a European leader in cloud implementation, application development, managed services and training. It's a recognised cloud-native pioneer with a proven track record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from multi cloud expertise that guides best practices, preempts pitfalls, provides essential technical support and steers teams through cultural change. From strategy planning to application management, we take our customers through the whole cloud journey to drive real business outcomes from cloud technology. Learn more at Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.
Apr 15, 2026
Full time
Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success. Senior Python Developer (AI Augmented) Level: Senior (5-7 years) Location: London / Hybrid policy Employment type: Permanent Reporting to: Lead Architect Why this role exists We're modernising a complex back end and need senior developers who can move fast with quality-leveraging AI augmented coding tools (Claude, GitHub Copilot, CodeLlama/Codex, etc.) to accelerate analysis of the current system and delivery of well tested, maintainable features. You'll pair program frequently, practice TDD, and own your code from dev to prod. What you'll do Build & ship Python services: Design, implement, and maintain backend services/APIs (Django or FastAPI), with clear boundaries, strong typing, and robust observability. Use AI for the heavy lifting: Employ AI tools to analyse legacy code, draft migration plans, generate scaffolds/tests, and speed up refactors-while applying human judgment to validate outputs and manage risks. TDD as standard: Write tests first and automate end to end validation (e.g., Playwright for web flows; pytest for unit/integration). Pair program often: Co design and co code to raise quality, share context, and keep momentum; rotate pairs for knowledge spread. Own the path to production: Build and maintain CI/CD pipelines; configure environments; instrument services (logging/metrics/traces); champion release health. Provision infra as code: Use Terraform to define cloud resources; keep everything reproducible and reviewable. Data & persistence: Model and optimise relational stores (SQL), write migrations, and tune performance. Engineering rigor: Code reviews, ADRs, threat modelling, performance profiling, and continuous refactoring. Team leadership: Mentor peers, help refine tickets, contribute to roadmaps, and uphold engineering standards. What you'll bring Must haves 5-7 years professional software development experience, with a very strong Python background. Hands on experience with AI augmented coding (e.g., Claude, GitHub Copilot, Codex), including practical understanding of pros/cons (context windows, hallucinations, privacy, licensing, code provenance, and when not to use AI). Solid web service development with Django or FastAPI. Strong SQL skills (schema design, migrations, query optimisation). Proven TDD mindset (unit/integration) and UI/E2E testing with Playwright. DevOps fluency: build/deploy your own pipelines (GitHub Actions/Azure DevOps/GitLab CI, etc.), containerisation (Docker), environment configuration, and infrastructure as code with Terraform. Comfortable with pair programming as a default practice; excellent communication and collaboration. Bias for action: you work quickly, test thoroughly, and keep quality high. Nice to haves Java experience (helpful for legacy interop; not essential). Cloud experience (AWS/Azure/GCP), including networking, secrets, and observability stacks (OpenTelemetry/Prometheus/Grafana). Security by design: OWASP, dependency scanning, SBOMs, and least privilege IAM. Performance tuning at API/database layers. How we build (principles) AI accelerated, human validated: Use AI to explore, summarise, and draft-engineers remain accountable for correctness, security, and maintainability. Test first: Every change includes tests; flaky tests are treated as production bugs. Small batches: Short lived branches, frequent merges, and automated deploys. Observability: SLOs, golden signals, and actionable alerts. Code health: Continuous refactoring, dependency hygiene, and ADRs for key decisions. We encourage you to apply, even if you don't meet all of the requirements. We value your growth potential and enthusiasm! What we offer Individual training budget and exam fees for certifications Flexible working hours and hybrid working model Company laptop and needed equipment Local package such as up to 7% matched pension contributions, extensive private health care, Bupa dental plan, and a seasonal ticket loan, enhanced maternity and parental leave, gym expense or well being monthly and mobile phone allowance Please read our Recruitment Privacy Policy before applying. All applicants must have the right to work in the UK. About Nordcloud Nordcloud is a European leader in cloud implementation, application development, managed services and training. It's a recognised cloud-native pioneer with a proven track record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from multi cloud expertise that guides best practices, preempts pitfalls, provides essential technical support and steers teams through cultural change. From strategy planning to application management, we take our customers through the whole cloud journey to drive real business outcomes from cloud technology. Learn more at Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.
Job Description - Software Engineer - Hybrid 3 days on-site (16526) Job Description Software Engineer - Hybrid 3 days on-site (16526) Description easyJet holidays is the UK's fastest growing tour operator, with a mission to provide brilliant holidays at unbeatable prices in more than 100 destinations across Europe. We do this by combining easyJet's vast flight network with more than 5000 handpicked hotels and best-in class technology to provide the perfect package holiday. We only launched in 2019 but already we have: Become the fastest growing, lowest cost travel business in the UK Achieved milestone customer numbers and taken almost 2 million customers away in our latest full year of trading, delivering significant profits to the easyJet group Launched an award winning sustainability strategy with a focus on making a positive impact on the local communities that make our holidays so special Been named one of the Sunday Times Best Places to Work two years running, in both 2023 and 2024, as well as being named the Best Workplace in Travel 2023. We have exciting new opportunities for talented and motivated Software Engineers to join our growing team to develop and support new and existing solutions. As a Software Engineer, you will contribute to the development and maintenance of our applications. You will work closely with senior developers to learn and apply best practices, while also having the opportunity to take ownership of projects and grow your skills. Development is a growing team within easyJet Holidays with the important mission of developing the website and all our proprietary software. Our own development capability is a key differentiator for us and supports the company reaching its goals. It is a very tight knit team that moves fast and must deal with a lot of pressure. This is a permanent role, based in Luton. (Hybrid Working) What you'll be doing Collaborate with the development team to design, develop, and test web applications. Write clean, efficient, and well documented code. Participate in code reviews and provide constructive feedback. Identify and resolve software defects. Stay up-to-date with the latest web technologies and industry trends. Demonstrate a strong interest in learning more areas of development i.e. backend and server technologies. Deliver world class development that guides the company's future. What you'll bring to the team Understanding of software development principles and methodologies. Understanding of quality engineering principles including Unit testing, Component testing, automated UX testing. Experience with version control systems (Git). Knowledge of backend development languages (e.g., Python, Ruby) and a willingness to learn more. Familiarity with database systems (e.g., MySQL, PostgreSQL, SQL Server, Mongo, Dynamo DB) and understanding of API development. Excellent problem solving and analytical skills. Ability to work independently and as part of a team. Passion for learning and growing as a developer. What we can offer you Up to 20% bonus 25 days holiday BAYE, SAYE & Performance share schemes Life Assurance Flexible benefits package Excellent staff travel benefits Business Area Technology - easyJet holidays Primary Location Luton
Apr 15, 2026
Full time
Job Description - Software Engineer - Hybrid 3 days on-site (16526) Job Description Software Engineer - Hybrid 3 days on-site (16526) Description easyJet holidays is the UK's fastest growing tour operator, with a mission to provide brilliant holidays at unbeatable prices in more than 100 destinations across Europe. We do this by combining easyJet's vast flight network with more than 5000 handpicked hotels and best-in class technology to provide the perfect package holiday. We only launched in 2019 but already we have: Become the fastest growing, lowest cost travel business in the UK Achieved milestone customer numbers and taken almost 2 million customers away in our latest full year of trading, delivering significant profits to the easyJet group Launched an award winning sustainability strategy with a focus on making a positive impact on the local communities that make our holidays so special Been named one of the Sunday Times Best Places to Work two years running, in both 2023 and 2024, as well as being named the Best Workplace in Travel 2023. We have exciting new opportunities for talented and motivated Software Engineers to join our growing team to develop and support new and existing solutions. As a Software Engineer, you will contribute to the development and maintenance of our applications. You will work closely with senior developers to learn and apply best practices, while also having the opportunity to take ownership of projects and grow your skills. Development is a growing team within easyJet Holidays with the important mission of developing the website and all our proprietary software. Our own development capability is a key differentiator for us and supports the company reaching its goals. It is a very tight knit team that moves fast and must deal with a lot of pressure. This is a permanent role, based in Luton. (Hybrid Working) What you'll be doing Collaborate with the development team to design, develop, and test web applications. Write clean, efficient, and well documented code. Participate in code reviews and provide constructive feedback. Identify and resolve software defects. Stay up-to-date with the latest web technologies and industry trends. Demonstrate a strong interest in learning more areas of development i.e. backend and server technologies. Deliver world class development that guides the company's future. What you'll bring to the team Understanding of software development principles and methodologies. Understanding of quality engineering principles including Unit testing, Component testing, automated UX testing. Experience with version control systems (Git). Knowledge of backend development languages (e.g., Python, Ruby) and a willingness to learn more. Familiarity with database systems (e.g., MySQL, PostgreSQL, SQL Server, Mongo, Dynamo DB) and understanding of API development. Excellent problem solving and analytical skills. Ability to work independently and as part of a team. Passion for learning and growing as a developer. What we can offer you Up to 20% bonus 25 days holiday BAYE, SAYE & Performance share schemes Life Assurance Flexible benefits package Excellent staff travel benefits Business Area Technology - easyJet holidays Primary Location Luton
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. Data Scientist III, Customer Analytics Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Yield and Analytics, Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III, Customer Analytics (Individual Contributor) role, supporting our B2C brands. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behaviour across multiple brands own by Expedia Group. This is an exciting opportunity for a team player who wants to be a central part of a truly customer focused team. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. What you'll do: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Brands stakeholders and cross functional Analytics teams, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience partnering with senior management and collaborating with other teams (eg. Product, Engineering, Strategy etc) to deliver projects Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high pressure, dynamic environment and be comfortable with a high level of ambiguity. Please note that this role is only available in the following locations: London, in alignment with our flexible work model which requires employees to be in office at least three days a week. 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 Accommodation Request. 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 Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -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 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.
Apr 15, 2026
Full time
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. Data Scientist III, Customer Analytics Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Yield and Analytics, Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III, Customer Analytics (Individual Contributor) role, supporting our B2C brands. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behaviour across multiple brands own by Expedia Group. This is an exciting opportunity for a team player who wants to be a central part of a truly customer focused team. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. What you'll do: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Brands stakeholders and cross functional Analytics teams, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience partnering with senior management and collaborating with other teams (eg. Product, Engineering, Strategy etc) to deliver projects Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high pressure, dynamic environment and be comfortable with a high level of ambiguity. Please note that this role is only available in the following locations: London, in alignment with our flexible work model which requires employees to be in office at least three days a week. 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 Accommodation Request. 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 Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -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 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.
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities Lead delivery of Real Time and On Demand Risk enhancements for the Credit Business by partnering directly with London based trading, MQA, Market Risk, and technology teams. Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support. Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover. Lead adoption and build out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow the sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents. Provide user facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities. Lead root cause analysis on production issues, drive long term stability improvements, and strengthen monitoring and observability across the platform. Recommended Experience Strong experience in Core Java, J2EE, Spring Framework Exposure to Python scripting and data analysis Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products Working knowledge of Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc. Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches Hands on knowledge of Linux / Unix Experience working with senior Quants and Technology Managers Good verbal and written communication Education Bachelor's degree/University degree or equivalent experience Master's degree preferred What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) Discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Apr 15, 2026
Full time
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities Lead delivery of Real Time and On Demand Risk enhancements for the Credit Business by partnering directly with London based trading, MQA, Market Risk, and technology teams. Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support. Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover. Lead adoption and build out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow the sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents. Provide user facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities. Lead root cause analysis on production issues, drive long term stability improvements, and strengthen monitoring and observability across the platform. Recommended Experience Strong experience in Core Java, J2EE, Spring Framework Exposure to Python scripting and data analysis Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products Working knowledge of Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc. Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches Hands on knowledge of Linux / Unix Experience working with senior Quants and Technology Managers Good verbal and written communication Education Bachelor's degree/University degree or equivalent experience Master's degree preferred What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) Discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
A leading European cloud service provider is seeking a Senior Python Developer to drive innovations in AI-augmented coding. The candidate will design and maintain backend services using Django or FastAPI, leverage AI tools for code improvements, and promote best practices in software development. Ideal applicants should have 5-7 years of experience in Python development, strong SQL skills, and a solid understanding of TDD. The role offers a flexible hybrid working model and competitive benefits.
Apr 15, 2026
Full time
A leading European cloud service provider is seeking a Senior Python Developer to drive innovations in AI-augmented coding. The candidate will design and maintain backend services using Django or FastAPI, leverage AI tools for code improvements, and promote best practices in software development. Ideal applicants should have 5-7 years of experience in Python development, strong SQL skills, and a solid understanding of TDD. The role offers a flexible hybrid working model and competitive benefits.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. UP - PI (Platform Infrastructure) creates and operates tooling to make building, running, and changing UP software more scalable, failure-proof, and intelligible. They bridge infrastructure and running services and balance developer autonomy with guard-rails. The team ensures that infrastructure underlying UP services is robust, resilient, and agile to adapt to evolving demands. The team curates UP's SDLC by embedding and consulting with other teams to hone a consistent approach. UP - PI spearheads adoption of new tools and practices across the UP platform. Expectations: Pave a Golden Path for developers from design to deployment. Design, implement, operate and maintain build/release/run tooling for 20+ development teams. Enable other teams to focus on business domains. Influence outcomes through dozens of software teams. Broadcast contagious passion for developer experience. Consolidate diverse and redundant approaches to common problems. Support and teach users of the development platform you build. Desirable Experience: Expertise in GitHub Actions, Team City, Concourse, or comparable CI/CD systems Proficiency in at least one of Python, Go, Java, Ruby Working Knowledge of Kubernetes Comfort deploying software to the cloud and on-premises Proven success in elevating standards for non-functional requirements like security, observability, reliability, and speed of delivery Record of accomplishment of enhancing the capabilities of other engineers and teams For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at California residents, please review the California Privacy Notice for information about certain legal rights at
Apr 15, 2026
Full time
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. UP - PI (Platform Infrastructure) creates and operates tooling to make building, running, and changing UP software more scalable, failure-proof, and intelligible. They bridge infrastructure and running services and balance developer autonomy with guard-rails. The team ensures that infrastructure underlying UP services is robust, resilient, and agile to adapt to evolving demands. The team curates UP's SDLC by embedding and consulting with other teams to hone a consistent approach. UP - PI spearheads adoption of new tools and practices across the UP platform. Expectations: Pave a Golden Path for developers from design to deployment. Design, implement, operate and maintain build/release/run tooling for 20+ development teams. Enable other teams to focus on business domains. Influence outcomes through dozens of software teams. Broadcast contagious passion for developer experience. Consolidate diverse and redundant approaches to common problems. Support and teach users of the development platform you build. Desirable Experience: Expertise in GitHub Actions, Team City, Concourse, or comparable CI/CD systems Proficiency in at least one of Python, Go, Java, Ruby Working Knowledge of Kubernetes Comfort deploying software to the cloud and on-premises Proven success in elevating standards for non-functional requirements like security, observability, reliability, and speed of delivery Record of accomplishment of enhancing the capabilities of other engineers and teams For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at California residents, please review the California Privacy Notice for information about certain legal rights at
A financial technology provider in London is searching for a Senior Software Engineer to develop and maintain trading applications using Python. Candidates should have over 7 years of experience and proficiency in Javascript and React is a plus. The role emphasizes collaboration, detailed problem-solving, and continuous learning. The salary range is $156,400.00 - $210,841.00 with comprehensive benefits including health, PTO, and 401(k).
Apr 15, 2026
Full time
A financial technology provider in London is searching for a Senior Software Engineer to develop and maintain trading applications using Python. Candidates should have over 7 years of experience and proficiency in Javascript and React is a plus. The role emphasizes collaboration, detailed problem-solving, and continuous learning. The salary range is $156,400.00 - $210,841.00 with comprehensive benefits including health, PTO, and 401(k).
AI Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Director of AI Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well being solutions. Guided by our shared missions of 'Making the World a Better Place to Work' and 'Enriching Connections, For Good', we are committed to transforming workplaces and improving people's daily lives. As we continue to expand our business, we have an opportunity for a hands on AI Engineer who is excited about turning real world challenges into smart, scalable solutions. You will work with the latest third party AI services, build streamlined workflows and craft high impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns. Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control. Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required. Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human in the loop validation, and ensuring robust observability. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Collaborate closely with Product using a working backwards approach, producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability building activities across the organisation. Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance. Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise Proven experience in shipping production grade AI solutions. Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies. Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js. Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling. Hands on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches. Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks. Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics. Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning. A strong security and governance mindset, with the ability to communicate clearly with both technical and non technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.
Apr 15, 2026
Full time
AI Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Director of AI Engineering Compensation: £85,000 - £90,000 / year Description Reward Gateway Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well being solutions. Guided by our shared missions of 'Making the World a Better Place to Work' and 'Enriching Connections, For Good', we are committed to transforming workplaces and improving people's daily lives. As we continue to expand our business, we have an opportunity for a hands on AI Engineer who is excited about turning real world challenges into smart, scalable solutions. You will work with the latest third party AI services, build streamlined workflows and craft high impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices. Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns. Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control. Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required. Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human in the loop validation, and ensuring robust observability. Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies. Collaborate closely with Product using a working backwards approach, producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability building activities across the organisation. Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance. Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise Proven experience in shipping production grade AI solutions. Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies. Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js. Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling. Hands on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches. Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks. Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics. Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning. A strong security and governance mindset, with the ability to communicate clearly with both technical and non technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.
Synechron is a leading digital transformation consulting firm dedicated to delivering innovative technology solutions within banking, financial services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting edge technologies. Job Location: London (Hybrid - 3 days in the office) About the role: We are seeking a highly experienced Senior Java Developer with over 10 years of hands on Java development experience and extensive exposure to AI/ML driven systems. The ideal candidate will design, build, and scale enterprise grade applications while integrating modern AI capabilities such as machine learning models, generative AI, and intelligent automation into backend systems. Key Responsibilities Design, develop, and maintain high-performance, scalable Java applications using modern frameworks. Architect and implement AI-enabled solutions, integrating ML/AI models into Java based platforms. Collaborate with data scientists and AI engineers to productionize machine learning and generative AI models. Build and maintain RESTful and event-driven APIs for AI powered services. Lead technical design discussions, perform code reviews, and mentor junior developers. Optimize application performance, security, and reliability in cloud and distributed environments. Implement best practices for CI/CD, DevOps, and MLOps pipelines. Work closely with product, architecture, and business teams to translate requirements into technical solutions. Stay current with emerging technologies in AI, cloud computing, and Java ecosystems. Job Requirements Core Java & Backend Development 10+ years of experience in Java (Java 8+) and enterprise application development Strong experience with Spring / Spring Boot, Hibernate/JPA Solid understanding of microservices architecture and distributed systems Experience with REST APIs, messaging systems (Kafka/RabbitMQ) Strong knowledge of SQL and NoSQL databases AI / Machine Learning Experience Hands on experience integrating AI/ML models into backend applications Strong understanding of machine learning concepts, model lifecycle, and inference Experience working with Generative AI / LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain) Familiarity with Python based ML frameworks (TensorFlow, PyTorch, Scikit learn) for integration purposes Experience with model deployment, monitoring, and versioning (MLOps) Cloud & DevOps Strong experience with cloud platforms (AWS / Azure / GCP) Hands on experience with Docker, Kubernetes CI/CD tools such as Jenkins, GitHub Actions, GitLab CI Understanding of cloud native AI services Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Apr 15, 2026
Full time
Synechron is a leading digital transformation consulting firm dedicated to delivering innovative technology solutions within banking, financial services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting edge technologies. Job Location: London (Hybrid - 3 days in the office) About the role: We are seeking a highly experienced Senior Java Developer with over 10 years of hands on Java development experience and extensive exposure to AI/ML driven systems. The ideal candidate will design, build, and scale enterprise grade applications while integrating modern AI capabilities such as machine learning models, generative AI, and intelligent automation into backend systems. Key Responsibilities Design, develop, and maintain high-performance, scalable Java applications using modern frameworks. Architect and implement AI-enabled solutions, integrating ML/AI models into Java based platforms. Collaborate with data scientists and AI engineers to productionize machine learning and generative AI models. Build and maintain RESTful and event-driven APIs for AI powered services. Lead technical design discussions, perform code reviews, and mentor junior developers. Optimize application performance, security, and reliability in cloud and distributed environments. Implement best practices for CI/CD, DevOps, and MLOps pipelines. Work closely with product, architecture, and business teams to translate requirements into technical solutions. Stay current with emerging technologies in AI, cloud computing, and Java ecosystems. Job Requirements Core Java & Backend Development 10+ years of experience in Java (Java 8+) and enterprise application development Strong experience with Spring / Spring Boot, Hibernate/JPA Solid understanding of microservices architecture and distributed systems Experience with REST APIs, messaging systems (Kafka/RabbitMQ) Strong knowledge of SQL and NoSQL databases AI / Machine Learning Experience Hands on experience integrating AI/ML models into backend applications Strong understanding of machine learning concepts, model lifecycle, and inference Experience working with Generative AI / LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain) Familiarity with Python based ML frameworks (TensorFlow, PyTorch, Scikit learn) for integration purposes Experience with model deployment, monitoring, and versioning (MLOps) Cloud & DevOps Strong experience with cloud platforms (AWS / Azure / GCP) Hands on experience with Docker, Kubernetes CI/CD tools such as Jenkins, GitHub Actions, GitLab CI Understanding of cloud native AI services Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.
Apr 15, 2026
Full time
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Lead delivery of Real Time and On Demand Risk enhancements for the Credit Business by partnering directly with London based trading, MQA, Market Risk, and technology teams. Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support. Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover. Lead adoption and build out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow the sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents. Provide user-facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities. Lead root cause analysis on production issues, drive long term stability improvements, and strengthen monitoring and observability across the platform. Recommended Experience: Strong experience in Core Java, J2EE, Spring Framework Exposure to Python scripting and data analysis Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products Working knowledge of Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc. Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches Hands-on knowledge of Linux / Unix Experience working with senior Quants and Technology Managers Good verbal and written communication Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.
Apr 15, 2026
Full time
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Lead delivery of Real Time and On Demand Risk enhancements for the Credit Business by partnering directly with London based trading, MQA, Market Risk, and technology teams. Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support. Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover. Lead adoption and build out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow the sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents. Provide user-facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities. Lead root cause analysis on production issues, drive long term stability improvements, and strengthen monitoring and observability across the platform. Recommended Experience: Strong experience in Core Java, J2EE, Spring Framework Exposure to Python scripting and data analysis Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products Working knowledge of Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc. Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches Hands-on knowledge of Linux / Unix Experience working with senior Quants and Technology Managers Good verbal and written communication Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.
