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ADVANCE SOFTWARE ENGINEERING

AI, ML, & Data Engineering

ADVANCE SOFTWARE ENGINEERING

AI, ML, & Data Engineering

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Job Title: C++ Software Engineer   Location: London- hybrid About the Role We are looking for a highly skilled C++ Software Engineer with a strong background in financial technology to join our growing engineering team. You will be instrumental in designing, developing, and optimising our high-performance trading platforms, real-time data processing systems, or low-latency infrastructure. If you have experience working in capital markets, algorithmic trading, or real-time risk systems—and you're passionate about writing robust, efficient C++ code—we want to hear from you. Key Responsibilities Design and implement low-latency, high-throughput software components in modern C++ (C++14/17/20). Collaborate closely with quants, traders, or product managers to gather requirements and deliver performant solutions. Optimise system performance for latency, throughput, and reliability. Integrate market data feeds, order execution systems, or pricing engines. Build and maintain automated testing frameworks and CI/CD pipelines for robust deployments. Conduct code reviews and mentor junior engineers  Requirements Must-Haves: 3+ years of professional C++ development experience. FinTech or financial systems background—e.g., trading systems, market data platforms, or banking infrastructure. Strong understanding of multi-threading, memory management, and performance tuning. Experience with Linux-based development and scripting (e.g., Bash, Python). Familiarity with financial instruments such as equities, derivatives, or fixed income

Job Title: Senior Software Engineer (Fullstack) Salary: $200k - $280k + Generous Equity Location: San Francisco, CA (5-days Onsite) Responsibilities: Lead the development of interactive tools and applications for visualizing large-scale scientific and machine learning data. Build foundational web infrastructure and internal tools to support data-intensive research workflows. Own product design end-to-end, including UX, internal tools, and visual branding. Collaborate closely with researchers and early users to define intuitive, valuable product experiences. Integrate LLMs into production systems, including decision-making on open-source vs proprietary model use. Deploy and maintain full-stack applications for both internal and external users. Requirements: Strong full-stack engineering experience, ideally with a frontend focus (e.g., 60% frontend / 40% backend). Proficiency with modern frontend frameworks (e.g., TypeScript, React, Svelte) and advanced data visualization libraries (e.g., D3, Vega, WebGL, Recharts, Three.js). Backend experience with Python, FastAPI, and working with data tools like DuckDB and Postgres. Deep interest in building intuitive, high-impact tools for technical users in data-heavy domains. Comfortable working closely with AI/ML researchers and shaping product experiences from the ground up. Strong design instincts and ability to create clean, effective user interfaces in scientific or technical contexts. Benefits: Fully Covered Medical, Dental, and Vision Insurance Paid Time Off Parental Leave Free Lunches Team Building Events Collaborative Team environment If you are interested in learning more about this position or any other roles we may have open, please apply today! Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Job Title: Senior Software Engineer (Backend & MLOps) Salary: $200k - $280k + Generous Equity Location: San Francisco, CA (5-days Onsite) Responsibilities: Design and build scalable infrastructure for machine learning model deployment, inference, and data systems. Contribute across ML infrastructure, backend engineering, and data pipelines, supporting both production and research needs. Lead deployment of large-scale ML and LLM-based systems into customer-facing and on-prem environments. Drive engineering best practices and help build a high-performance, cross-functional team culture. Requirements: Strong experience in Python, FastAPI, cloud platforms (any major provider), and data engineering. Proven ability to work across ML infrastructure, backend systems, and distributed environments. Prior ownership of enterprise-scale production deployments, with a focus on reliability and usability. Engineering-first mindset, with the option to contribute to research initiatives as desired. Bonus: Built and scaled SaaS or ML platforms handling complex, high-volume enterprise data. Bonus: Designed end-to-end ML systems—from data access and training to evaluation and deployment. Bonus: Delivered LLM-powered systems for production use, especially in retrieval or research workflows. Benefits: Fully Covered Medical, Dental, and Vision Insurance Paid Time Off Parental Leave Free Lunches Team Building Events Collaborative Team environment If you are interested in learning more about this position or any other roles we may have open, please apply today! Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Job Title: Senior Software Engineer (Data Platform) Salary: $200k - $280k + Generous Equity Location: San Francisco, CA (5-days Onsite) Responsibilities: Design, build, and maintain distributed data systems supporting scientific and machine learning workflows. Own and scale data pipelines used for ingesting, processing, storing, and serving large volumes of complex datasets. Collaborate with cross-functional research teams to develop APIs and LLM-powered data processing pipelines. Ensure reliability and accuracy of systems through testing, monitoring, and observability tools. Requirements: Strong coding skills in Python, with experience in one or more distributed computing frameworks (e.g., Kubernetes, Slurm, Ray, Daft, Dask, Spark). Demonstrated experience managing large-scale data systems (terabyte or petabyte scale). DevOps proficiency, including CI/CD, infrastructure-as-code, and experience across major cloud platforms (AWS, GCP, Azure). Comfortable taking full ownership of data infrastructure, from architecture to deployment. Excited to work in fast-paced, research-driven environments. Bonus: Led or contributed significantly to large-scale, high-throughput data infrastructure projects. Bonus: Built data systems integrated with AI/LLM tools, especially for scientific, research, or information retrieval use cases. Bonus: Worked at early-stage startups where agility, impact, and cross-functional collaboration were key. Benefits: Fully Covered Medical, Dental, and Vision Insurance Paid Time Off Parental Leave Free Lunches Team Building Events Collaborative Team environment If you are interested in learning more about this position or any other roles we may have open, please apply today! Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Senior Growth Marketing Manager $140,000–$180,000 + Benefits + Equity 100% Remote – U.S. Based Company and Role Summary: A fast-growing, investor-backed startup, focused on creating impactful legal and financial solutions for millions of Americans, is seeking a Senior Growth Marketing Manager to drive consumer acquisition. This role leverages data-driven marketing strategies to support revenue growth in a mission-driven organization. This is a fully remote, full-time U.S. role. This is an exciting opportunity to join an early-stage, fast-paced team, directly shaping the trajectory of growth strategies and company impact. If you're passionate about mission-driven, dynamic organizations, apply now! Responsibilities Develop campaigns across affiliate, SEO, direct mail, and social media. Create content to engage consumers across the conversion funnel. Analyze data to optimize marketing strategies and drive 5x revenue growth. Collaborate on brand, product, and growth team strategies. Propose data-driven growth hacks to enhance performance. Qualifications 5–10+ years of marketing experience, ideally in financial affiliate or consumer marketing. Strong knowledge of debt settlement, credit repair, or FinTech marketing. Startup experience and or experience in fast paced teams  Data-driven with a focus on experimentation and continuous improvement. Preferred: SQL knowledge 

Growth Executive  $150,000–$250,000 + Benefits + Equity 100% Remote – U.S. Based Company and Role Summary: A fast-growing, investor-backed startup, focused on creating impactful legal and financial solutions for millions of Americans, is seeking a Growth Executive to lead a high-performing growth and marketing team. This role will drive revenue growth and consumer acquisition through innovative strategies in a mission-driven organization. This is a fully remote, full-time U.S. role.  This is an exciting opportunity to join an early-stage, fast-paced team, directly shaping the trajectory of growth strategies and company impact. If you're passionate about mission-driven, dynamic organizations, apply now! Responsibilities Lead a three-person growth team to drive revenue and consumer acquisition. Develop and execute marketing strategies across affiliate, SEO, and other channels. Create campaigns to rapidly increase revenue, targeting $10M. Collaborate with product, development, and operations teams on brand and roadmap. Analyze data to optimize growth tactics and propose innovative solutions. Qualifications 8+ years of growth or marketing experience, ideally in debt settlement, FinTech or adjacent markets.  Proven leadership in marketing at a debt settlement, credit repair, or consumer financial firm and or at a fast-paced startup.  Strong industry relationships, particularly with affiliates. Data-driven with a focus on experimentation and continuous improvement. Preferred: Data science background/degree or startup leadership experience.  

Software Engineer  $140,000-$180,000 + Benefits + Equity  100% Remote-US based Company and Role Summary: A fast-growing, investor-backed startup, focused on creating impactful legal and financial solutions for millions of Americans is currently seeking a Software Engineer to join a high-performing team. This is a fully remote, full-time U.S. role driving innovation in a mission-driven organization. Responsibilities Build and ship features using Ruby on Rails, PostgreSQL, AWS, Heroku, and  Bootstrap. Write clean, tested, secure code and conduct code reviews. Resolve production issues with thorough root-cause analysis. Collaborate on product roadmap, technical scoping, and UX design. Propose features and manage workflows in a fast-paced environment. Qualifications 2–7 years of software engineering experience, ideally in startups. Skilled in writing clean, tested, secure code with strong problem-solving. Thrives in fast-paced settings with data-driven, continuous improvement focus. Comfortable with code reviews and committed to excellence. Preferred: Startup founder or co-founder experience. This is an exciting opportunity to join an early-stage, fast-paced team, directly shaping the trajectory of technology and engineering culture. If you're passionate about mission-driven, dynamic organizations, please apply now!

Permanent Job  Job title: Data Engineer Job type: Permanent Salary Compensation: 30 - 50k Euro Role Location: Greece The company: Signify Technology Role and Responsibilities: Senior Data Engineer – Analytics & Insights We are looking for a highly skilled Data Engineer with significant technical skills in Azure and business acumen to join the team and be part of the Analytics & Insights team. You will have the opportunity to contribute to the strategy, design and development of our Analytics use cases, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, and an opportunity to integrate & transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines. Job Requirements:   Collaborate with architects across different IT teams and with cross-functional teams to gather requirements, define technical specifications, and provide architectural guidance for Azure projects. Contribute and align on the strategy, design and implementation of the end2end data journey to expose analytics insights for consumption by different reporting layers; Ability to load data from Azure Data Sources (Azure SQL Databricks Warehouse/Synapse), visualize data, setup data refresh, analyze and write queries in SQL; Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here      

Contract Job ad template Job title: Infrastructure Architect  Job type: Contract Contract Length: 12 months plus extension Rate: €600 - €650 a day  Role Location: The Hague, Netherlands  Role and Responsibilities: Designing and evolving infrastructure architectures: networking, storage, virtualisation, and mobility Supporting implementation of high-impact solutions across data centres, WAN, and cloud platforms Writing and maintaining technical standards and architectural documentation Advising on product selection, capacity planning, and disaster recovery Working within agile or Prince2 project frameworks Supporting engineering teams and contributing to strategic decisions Job Requirements: 5+ years in ICT Infrastructure Architecture Strong experience in at least 3 of the following: Data Centre Infrastructure Design Network Design Enterprise Storage Design Backup/Archiving Design Disaster Recovery Good knowledge of: Enterprise-class storage (block, file, object) Networking (LAN/WAN/VPN/wireless) Virtualisation, containerisation, and server OS DR & Business Continuity Experience on a minimum of 5 infrastructure-related projects Strong communication and documentation skills Fluent English (B2+) Nice to have: Cloud platform experience (Azure/AWS) Infrastructure as Code / DevOps tooling Archimate or EA modelling InfoSec & observability tooling (SIEM, firewalls, data diodes) Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here    

Job Title: Quantitative Product Analyst Salary: $160,000 – $200,000 + Equity Location: San Francisco, CA  A fast-growing, VC-backed startup is hiring a Quantitative Product Analyst to help drive product and business insights through hands-on data analysis. This team supports product experimentation, strategic decision-making, and customer optimization for enterprise-scale applications. The ideal candidate has a strong quantitative foundation, deep SQL expertise, and thrives in collaborative, fast-paced environments. In this role, you’ll analyze product performance, monitor key metrics, and determine which experiments are working to guide product and business strategy. You’ll use SQL and experimentation frameworks to turn raw data into actionable insights. You’ll work closely with cross-functional teams to influence decisions around product deployment and customer targeting, and you’ll have the opportunity to grow into more technical roles over time, such as Data Science or ML-focused work. Responsibilities Own SQL-based analysis and dashboards that monitor key product and growth metrics Identify and interpret patterns in customer behavior, product usage, and A/B test results Translate raw data into clear business recommendations for internal stakeholders Partner with product and engineering to prioritize experiments and inform roadmap decisions Occasionally contribute to model deployment efforts for enterprise use cases Help develop internal tooling and lightweight agents to accelerate analysis Requirements 4–5+ years of experience in data analytics or quantitative roles Strong SQL skills and comfort analyzing large datasets in a fast-moving environment Ability to apply data thinking to ambiguous product or growth questions Experience running and interpreting experiments or A/B tests in a business context Excellent communication and collaboration skills—comfortable presenting insights cross-functionally Bonus: Experience supporting enterprise customers or deploying production models Benefits Equity in a high-growth startup Health, Dental, and Vision Insurance Free lunch and dinner in office Collaborative and supportive team environment Accessibility Statement Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.