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AI, ML, & Data Engineering

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AI, ML, & Data Engineering

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Job title: Senior Data Scientist Job type: Permanent Salary: €55,000 – €60,000 base salary Role Location: Hybrid – Athens, Greece (2 days per week in the office) The company: Our client is an established consumer technology business with a subscription and rewards-driven platform used by a large, active customer base. Data is at the heart of the organisation, driving decisions across marketing, pricing, customer engagement, and product strategy. As the business continues to invest in advanced analytics and AI, they're building next-generation agentic analytics capabilities, giving this role the opportunity to influence how intelligent analytical systems are developed and embedded into day-to-day decision making. Role and responsibilities: Act as a strategic partner to stakeholders, delivering data-driven insights and recommendations that influence business decisions. Build and maintain customer segmentation, propensity, and scoring models to optimise lifecycle marketing. Partner with marketing teams to design, execute, and evaluate experimentation frameworks. Apply statistical analysis to pricing, rewards, and revenue optimisation initiatives. Own and evolve A/B testing frameworks across product, marketing, and monetisation, using both Bayesian and frequentist methodologies. Define hypotheses, success metrics, and post-experiment recommendations alongside cross-functional teams. Translate recurring analytical processes into scalable agentic analytics workflows. Collaborate with Analytics Engineering to develop robust data models and metric definitions. Create clear visualisations and communicate complex findings to both technical and non-technical stakeholders. Mentor junior data scientists and contribute to the growth of the wider analytics function. Job requirements: Bachelor's or Master's degree in Statistics, Economics, Data Science, Mathematics, or another quantitative discipline. 5+ years' experience in a Data Scientist role. Strong knowledge of statistical analysis, experimental design, hypothesis testing, and causal inference. Hands-on experience with both frequentist and Bayesian approaches to experimentation (including tools such as PyMC). Proven experience delivering lifecycle marketing analytics and optimisation. Advanced SQL skills with experience querying large-scale data warehouses (Snowflake, BigQuery, Redshift, or similar). Strong Python or R programming skills, including experience with data science and machine learning libraries (e.g. pandas, scikit-learn, tidyverse). Experience creating impactful data visualisations and presenting insights to business stakeholders. Excellent communication skills with the ability to translate complex analysis into commercial recommendations. Familiarity with agentic analytics workflows and AI-assisted analytical processes. Strong attention to data quality, governance, and metric accuracy. Nice to have: Experience working with loyalty or rewards programmes, performance marketing, or market research. Experience with deep learning techniques. Experience building dashboards in modern BI platforms. Experience developing agentic analytics workflows. Experience building internal data applications using tools such as Streamlit or Shiny.   Accessibility Statement: 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: Senior Machine Learning Engineer Job type: Permanent Salary: €60,000 – €65,000 base salary Role Location: Hybrid – Athens, Greece (2 days per week in the office) The company: Our client is an established consumer technology business with a subscription and rewards-driven platform used by a large, active customer base.  As the company continues to invest heavily in artificial intelligence, they're looking for a Senior Machine Learning Engineer to lead the development of production-grade AI solutions, helping shape the next generation of intelligent products and internal AI capabilities. Role and responsibilities: Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives. Lead the research, development, and optimisation of machine learning models for production environments. Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face. Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks. Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation. Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments. Monitor, maintain, and optimise model performance to ensure reliability and scalability in production. Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence. Mentor junior engineers and provide technical leadership across AI and machine learning initiatives. Champion best practices for model development, experimentation, deployment, and ongoing optimisation. Job requirements: Proven experience designing, building, and deploying production-grade machine learning solutions. Strong Python development skills. Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers. Experience with deep learning frameworks such as PyTorch. Strong knowledge of machine learning libraries including Scikit-learn and XGBoost. Experience working with NLP frameworks such as spaCy and NLTK. Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring. Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions. Passion for staying current with emerging AI technologies and applying them to real-world business challenges. Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders. Experience mentoring junior engineers or leading technical initiatives. A pragmatic mindset, balancing high-quality engineering with delivering business value quickly.   Accessibility Statement: 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.

Senior Software Engineer (Frontend Focused) Full-Time, Permanent Remote: Candidates Must be Based in Either Seattle, Denver or San Francisco $150,000–$200,000 base salary + equity About the Client: An early-stage US supply chain technology company building software for small to mid-size manufacturers and industrial distributors. They have established enterprise customers, confirmed product-market fit, and are now focused on accelerating their product roadmap. The engineering team is small by design — every person carries real product impact, and that's intentional. Overview: The team is expanding their core platform, which coordinates inventory, purchasing, and shop-floor material flow for industrial customers. This hire will own the development of business-driven product features end to end — partnering with the CTO and product stakeholders on defining what gets built, not just how. The role sits at the intersection of frontend architecture, API design, and close collaboration with an in-house UX designer and wider business teams including customer success and sales. Responsibilities:  Own full-stack feature delivery across a React/TypeScript frontend  Partner with the CTO and product stakeholders to define scope and requirements — this is a product ownership role, not a ticket-execution role Collaborate closely with an in-house UX designer to implement user workflows cleanly and without unnecessary complexity Design and review REST API contracts across internal and public-facing surfaces Contribute to architecture and technology decisions alongside the CTO and a Principal Engineer Work with agentic AI tooling as a genuine productivity multiplier in your day-to-day engineering Required Skills and Experience 6+ years building production web applications with React and TypeScript Strong Next.js experience including server-side rendering Solid REST API design thinking — resource modelling, error handling, pagination, versioning Distributed systems and microservices experience — conceptual depth matters more than a specific language SQL and relational database experience with genuine attention to domain modelling and schema design Testing across unit, integration, and E2E levels Product ownership mentality — you will be shaping scope and trade-offs, not executing pre-defined specs US work authorised — no visa sponsorship available Candidates must be located in either Seattle, Denver of SF.  Nice to Have Kotlin or JVM (Java, Scala) backend experience Background in supply chain, manufacturing, logistics, or industrial operations Experience working directly with a CTO or founders at an early-stage company Active use of agentic AI tooling (Cursor, Claude Code, Copilot) in your day-to-day workflow  Interview Process: Initial conversation with the CTO or a member of the engineering team Paid take-home project (10–20 hours)  Final multidisciplinary interview with the wider team

Job Title: DevOps / SRE Engineer Job Type: Contract Contract Length: 12-months Rate: $20 - $30 per hour Role Location: Remote - LATAM The Company: Our client is a fast-growing technology business building world-class checkout infrastructure for online retailers. Their mission is to eliminate the operational overhead and technical debt associated with payments and checkout at scale, enabling retailers to deliver seamless, secure buying experiences to millions of consumers. Role and Responsibilities: Help lead out major infrastructure, DevOps, reliability, and security initiatives end to end Own and evolve CI/CD pipelines, primarily using GitHub Actions, to enable fast, safe, and repeatable software delivery Design, build, and maintain cloud infrastructure on AWS using Terraform for all infrastructure as code Manage containerized workloads using Docker and Kubernetes, ensuring scalability and resilience Build and maintain observability across the stack using Datadog for monitoring, alerting, and incident response Troubleshoot issues across the entire stack, from network and OS level through to application layer Oversee PCI compliance and coordinate audit activities, applying DevSecOps practices throughout the SDLC Enforce security best practices across DNS, firewalls, IAM, and cloud networking Build tooling for automation, deployment, monitoring, and operations Set strategic direction for infrastructure and contribute to key architectural decisions Job Requirements: GitHub Actions: strong, hands-on experience building and maintaining complex pipelines (most critical requirement) AWS: solid production experience operating infrastructure at scale Terraform: required for all infrastructure provisioning and lifecycle management Docker and Kubernetes for containerization and orchestration Datadog for monitoring, observability, alerting, and dashboards Go or Python for scripting, automation, and tooling Solid DevSecOps knowledge with the ability to embed security across the SDLC Working knowledge of PCI-DSS and experience supporting compliance audits Hands-on experience with DNS, firewalls, IAM, and cloud networking concepts 3 or more years of relevant experience in DevOps, SRE, or infrastructure engineering Jenkins experience is a bonus, though GitHub Actions takes priority GCP awareness beneficial given a potential future migration Accessibility Statement: 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: Senior DevOps / SRE Engineer Job Type: Contract Contract Length: 12-months Rate: $25 - $35 per hour Role Location: Remote - LATAM The Company: Our client is a fast-growing technology business building world-class checkout infrastructure for online retailers. Their mission is to eliminate the operational overhead and technical debt associated with payments and checkout at scale, enabling retailers to deliver seamless, secure buying experiences to millions of consumers. Role and Responsibilities: Lead major infrastructure, DevOps, reliability, and security initiatives end to end Own and evolve CI/CD pipelines, primarily using GitHub Actions, to enable fast, safe, and repeatable software delivery Design, build, and maintain cloud infrastructure on AWS using Terraform for all infrastructure as code Manage containerized workloads using Docker and Kubernetes, ensuring scalability and resilience Build and maintain observability across the stack using Datadog for monitoring, alerting, and incident response Troubleshoot issues across the entire stack, from network and OS level through to application layer Oversee PCI compliance and coordinate audit activities, applying DevSecOps practices throughout the SDLC Enforce security best practices across DNS, firewalls, IAM, and cloud networking Build tooling for automation, deployment, monitoring, and operations Set strategic direction for infrastructure and contribute to key architectural decisions Job Requirements: GitHub Actions: strong, hands-on experience building and maintaining complex pipelines (most critical requirement) AWS: solid production experience operating infrastructure at scale Terraform: required for all infrastructure provisioning and lifecycle management Docker and Kubernetes for containerisation and orchestration Datadog for monitoring, observability, alerting, and dashboards Go or Python for scripting, automation, and tooling Solid DevSecOps knowledge with the ability to embed security across the SDLC Working knowledge of PCI-DSS and experience supporting compliance audits Hands-on experience with DNS, firewalls, IAM, and cloud networking concepts 4 or more years of relevant experience in DevOps, SRE, or infrastructure engineering Jenkins experience is a bonus, though GitHub Actions takes priority Accessibility Statement: 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: Senior Bioinformatics Scientist Job Type: Permanent Salary: $170,000–$190,000 USD per year + bonus Role Location: San Francisco, CA (hybrid role) Visa Requirements: No sponsorship provided. The Company: Our client is an emerging leader within biotechnology, headquartered in the vibrant tech hub of San Francisco, California. Their mission is to empower scientists worldwide by accelerating biotech research through innovative DNA sequencing and analysis tools. Every day, thousands of innovators—including Nobel Prize winners, biotech startups, and research labs—rely on their solutions to drive world-changing discoveries in healthcare, sustainability, and beyond. In 2024, they saved researchers 2 million hours, transforming their productivity. Join their dynamic, collaborative team to shape the future of science. Role and Responsibilities: As a Senior Bioinformatics Scientist, you’ll lead the charge in building cutting-edge bioinformatics workflows that power faster, smarter science. Collaborating with a passionate team of scientists, bioinformaticians, and software engineers, you’ll drive innovation and mentor others in a creative, high-impact environment. Your key responsibilities include: Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments. Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions. Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs. Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights. Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration. Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients. Job Requirements: Education and Experience: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 3+ years of experience developing production-level bioinformatics pipelines. Required Qualifications: Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools. Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments. Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing. Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda). Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows. Expertise in Git/GitHub and Linux shell scripting for version control and automation. Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit). Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing. Strong communication skills and ability to write clean, maintainable, production-ready code. Preferred Qualifications: Experience with compiled languages (C++, Rust) for performant software development. 1+ year of molecular biology wet lab experience. Demonstrated ability to develop novel bioinformatics algorithms. Strong interest in creating intuitive data visualizations for scientific insights.   Benefits: Competitive Compensation: Highly competitive remuneration. Generous Time Off: 4 weeks paid time off + 10 paid holidays. Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage. Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership. Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability. Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers. Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth.

Job Title: Senior Full Stack Engineer Job Type: Contract Contract Length: Initial 12 months Rate: €350 - €380 per day Role Location: Remote (Europe) The Company: A leading European technology company is seeking an experienced Senior Full Stack Engineer to support the development of a scalable digital platform used by businesses across multiple markets. The organisation operates internationally and is focused on delivering high-quality, customer-centric solutions. Role and Responsibilities: Design, build, and maintain full stack applications using TypeScript, Node.js, and modern frontend frameworks (Vue.js preferred). Develop and scale microservices with a focus on performance, reliability, and maintainability. Build responsive, user-friendly web applications and optimise frontend performance. Implement Infrastructure as Code (Terraform or Pulumi) and support cloud-native deployments. Manage and improve cloud infrastructure, primarily within GCP and Kubernetes environments. Create and maintain CI/CD pipelines using modern DevOps tooling. Monitor application health, troubleshoot issues, and improve system observability. Collaborate closely with product, design, and engineering teams to deliver high-quality solutions. Mentor engineers and contribute to technical best practices. Job Requirements: 6+ years of full stack software engineering experience. Strong expertise in TypeScript and Node.js. Commercial experience with Vue.js or similar frameworks such as React or Angular. Experience building microservices and working with SQL and NoSQL databases. Strong knowledge of cloud technologies, particularly GCP, Kubernetes, and containerised applications. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Familiarity with CI/CD tools including GitHub Actions, CircleCI, or ArgoCD. Experience with testing frameworks such as Jest or Cypress. Strong communication and stakeholder management skills. Previous experience within fintech, payments, or highly regulated environments is advantageous. Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments throughout 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 opportunity to achieve the career they deserve. We are committed to building diverse and inclusive teams and welcome applications from all qualified candidates.

Principal Python Engineer, London, Europe's Largest Equities Exchange   We are working exclusively with one of the world's largest exchange operators on a Principal Python Engineer hire in London. This is a senior individual contributor role within a small, highly skilled engineering team building and expanding the data pipeline and event streaming infrastructure that powers the largest equities exchange in Europe.   The Role   You will lead complex engineering projects end to end, working closely with business development and sales teams to deliver new products and features, and mentoring engineers across Europe and the US. The team takes software craftsmanship seriously — testable, maintainable code, pair programming and TDD are core to how they work.   Tech Stack   Expert Python, advanced SQL, deep Linux knowledge PostgreSQL, Snowflake Apache Kafka, Apache Airflow Django, Flask or FastAPI TDD, BDD, pair programming Java familiarity a plus   What They Are Looking For   Principal or Staff level Python engineer with strong leadership skills Degree in Computer Science or related field preferred Financial markets experience a strong plus — market data, order management, algorithmic trading or financial systems integration Someone who takes genuine pride in code quality and engineering standards   The Package   Competitive salary and incentive compensation Private medical including dental, private GP service, life insurance 7% pension contribution, no employee contribution required 25 days holiday rising to 30, complimentary lunch daily 4 days in office, London  

? Hiring: Python Software Engineer | London | 4 Days On-Site   £80-90K +15% Bonus   I'm working with a leading financial markets and trading technology organisation that is looking for a Python Software Engineer to join its engineering team in London. You'll help build and enhance critical market infrastructure, including data pipelines, event streaming platforms, and real-time systems that support high-volume trading environments.   ? What you'll be doing: • Building reliable, scalable Python applications and services • Designing and enhancing data pipelines and event-driven architectures • Working closely with product, commercial and engineering teams to deliver new features • Contributing to system design, R&D initiatives, and technology improvements • Troubleshooting complex technical and operational challenges • Participating in production support and continuous improvement activities   ? Key requirements: • Strong Python development experience • Solid understanding of algorithms and data structures • Strong SQL skills and experience writing complex queries • Linux knowledge • Commitment to writing clean, maintainable, and testable code   ? Desirable experience: • TDD, BDD, or other testing methodologies • PostgreSQL and/or Snowflake • Django, Flask, or FastAPI • Apache Kafka • Apache Airflow • Java

Job title: Senior Front End Rails Engineer Job type: Contract  Contract Length: 12-Month Contract (Ongoing) Rate: $70 - $85 per hour Role Location: US Remote The company:  A fast-growing AI-native learning platform helping organizations train employees, customers, and partners at scale. Unlike competitors who bolt AI onto legacy systems, this platform was built AI-first from the ground up — with a natural-language agentic interface connecting content creation, administration, delivery, personalization, and analytics in one unified system. They help companies launch training in minutes, not months, and are actively redefining the LMS industry Role and Responsibilities: As a Senior Front End Rails Engineer, you will architect and build core systems that power the platform at scale. You'll own complex technical challenges, drive design decisions, and set a high bar for code quality, performance, and reliability. You'll also mentor engineers, influence best practices, and partner closely with cross-functional teams to deliver impactful software.  Job Requirements:   7+ years of professional software engineering experience in scalable, high-performance production environments Strong proficiency in Ruby on Rails, JavaScript, and at least one modern frontend framework (React, Vue, or Angular) Deep expertise in OOP principles and system architecture Hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems Demonstrated technical leadership — mentoring engineers, facilitating alignment, contributing to sound technical decision-making Strong communicator, able to articulate technical concepts clearly to cross-functional stakeholders   Accessibility Statement: 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