Candidate Tech Hub

Job title: Senior Test Manager  Job type: Contract Contract Length: 6 months rolling  Rate: €350 - €390 a day  Role Location: Brussels, Belgium (Hybrid) Role and Responsibilities: Lead end-to-end delivery of testing initiatives across multiple workstreams Apply Agile, Scrum, and Lean methodologies to optimise team performance and delivery speed Own planning, budgeting, forecasting, and tracking across large-scale programmes Facilitate workshops, stand-ups, retrospectives, and key stakeholder meetings Provide clear, concise reporting to senior leadership and cross-functional teams Use tools like Jira, Confluence, MS Project, and Excel to manage delivery and documentation Job Requirements:   10+ years of experience across testing, delivery, and project management Deep knowledge of Agile, Scrum, and Lean practices Proven ability in budgeting, forecasting, and performance tracking Strong leadership and facilitation skills—comfortable steering delivery in dynamic teams Tooling experience with Jira, Confluence, Excel, and MS Project Experience in international and multicultural environments Certifications like PMP, PRINCE2, or PM² are a plus, but not essential 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

We are seeking a Senior QA Automation Engineer (SDET) to join our E-Commerce team and play a key role in improving test automation coverage, ensuring code quality, and driving end-to-end product validation across APIs, UIs, and integration points. This is a hands-on, individual contributor role—not a developer moonlighting in QA. You’ll be expected to take ownership of quality across a range of services and touchpoints. The ideal candidate is highly technical, proactive, and has a strong product mindset—someone who can write Python-based tests, work across pipelines, and think like a user. You will be the sole QE on your scrum team, so the ability to multitask and handle various layers of testing is critical. While we work in distributed teams, we maintain a high bar for collaboration, communication, and accountability. Key Responsibilities Design and maintain robust, scalable test automation frameworks (Python) for UI, API, contract-level, and integration testing. Own QA from end to end—write, execute, and continuously improve test cases across the full stack. Collaborate closely with developers and product managers to ensure a shared understanding of quality ownership. Participate in design discussions with a QE lens to drive testability and risk mitigation. Lead defect triage, root cause analysis, and resolution tracking. Identify bottlenecks and proactively address quality gaps before they hit production. Champion a culture of quality, engineering excellence, and continuous improvement. Basic Qualifications Strong experience with Python and automated testing tools (e.g., Selenium, PyTest, REST-assured, etc.) Deep understanding of testing best practices across UI, API, and backend services Ability to take ownership of QA in a team of developers—must be self-directed and confident in leading quality initiatives Hands-on experience testing distributed systems and microservices in cloud environments Comfortable writing and maintaining contract-level tests, mocking APIs, and performing service-level validations Excellent communication skills and a bias for action—able to clearly articulate technical details and decisions Comfortable working in PST time zone with full participation in team ceremonies Preferred Qualifications Experience working in Agile environments with cross-functional teams Familiarity with CI/CD pipelines and quality gates Exposure to e-commerce systems, payment flows, or customer-facing transactional platforms

Job title: Research AI scientist  Job type: Perm Salary: $250,000- $300,00 Role Location: San fran  The company:  Role and responsibilities: Job requirements:   A rapidly growing AI research group is seeking exceptional Research Scientists to advance the field of large language model (LLM) evaluation and understanding. This team is focused on building the next generation of evaluation frameworks, interpretability tools, and alignment techniques that will enable more transparent and responsible AI development. In this role, you will conduct original research to probe LLM reasoning, comprehension, and emergent behaviors. You’ll help design methodologies and benchmarks that push the boundaries of how we measure model intelligence, reliability, and alignment with human values. Key Responsibilities Lead cutting-edge research in LLM evaluation, model understanding, and human-AI knowledge interaction Design novel experiments and probing techniques to assess model behavior, limitations, and emergent properties Develop scalable frameworks and tools for large-scale model assessment Collaborate with cross-functional teams to implement and iterate on experimental insights Write clean, maintainable code to support experimentation, data collection, and automated evaluation pipelines Contribute to publications and presentations that advance understanding in the AI research community Support the development of standards for responsible model assessment and interpretability Requirements PhD or equivalent research experience in machine learning, AI, cognitive science, computer science, or a related discipline Deep knowledge of large language models, model evaluation, interpretability, or post-training assessment techniques Proven track record of independently driving research projects from hypothesis to validation Strong programming skills in Python, with hands-on experience using PyTorch or similar frameworks Experience designing experiments, building benchmarks, or analyzing complex model behavior Excellent communication skills with the ability to convey deep technical insights clearly Benefits:   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: Lead Engineer - React/Node  Job type: Permanent Salary: £80k - £110k Role Location: Victoria, London - Hybrid 3 days a week. The company: A fast-growing, VC-backed startup on a mission to reinvent how real-world services are delivered through technology. Their platform powers a network of physical sites across the UK, helping emerging consumer brands scale rapidly and efficiently — without the overhead of traditional operations. With strong early traction, 3x YoY revenue growth, and over £20M in annual sales, they're now investing heavily in their technology to unlock the next phase: scaling from 150 sites to 5,000+, powered by data, AI, and automation. Role and responsibilities: Lead the design and implementation of scalable, microservices-based systems Own and evolve our core platform architecture, including APIs, internal tools, and data pipelines Collaborate cross-functionally with product, operations, and commercial teams to deliver meaningful software that solves real business problems Work with large, varied data sets from third-party sources (e.g. partner platforms, supply chains, operational data) Help turn data into insights and recommendations using AI/ML tooling Tackle technical debt and improve system robustness as we scale rapidly Contribute to a strong engineering culture rooted in ownership, curiosity, and continuous improvement Job requirements: React.js TypeScript Node.js NestJs  Google Cloud Platform PostgreSQL, BigQuery Database architecture Expect to work across data, backend, and light frontend as needed Benefits: £80–110k salary depending on experience Equity: 0.5%–1.5% in a business currently valued at ~£45M Hybrid working: 3 days/week in their central London office Flexibility to work abroad for short periods Small, flat team where you’ll have direct access to leadership and real ownership Pension Scheme ClassPass 25 days of holiday + Bank Holidays   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: SCM Data Engineer Job Type: Permanent Salary: $170,000 + discretionary bonus Role Location: Atlanta, GA (Hybrid, in office 2 days per week) Visa Requirements: No visa sponsorship provided. The Company: Our client is a well-established boutique Supply Chain Management (SCM) software consulting firm headquartered in Atlanta, Georgia, renowned for their bespoke approach to transforming supply chain operations. For over a decade, they’ve empowered clients in industries like manufacturing, healthcare, and logistics with tailored data-driven solutions that optimize efficiency, reduce costs, and enhance scalability. Their team of dedicated professionals leverages cutting-edge technologies, including AI, cloud platforms, and advanced analytics, to deliver measurable ROI, such as 25%+ cost savings and 30%+ process improvements. Join their collaborative, client-centric firm in Atlanta’s vibrant tech hub to drive innovation in supply chain excellence. Role and Responsibilities: As a SCM Data Engineer, you’ll play a pivotal role in designing and implementing data pipelines and analytics solutions to optimize supply chain operations for their clients. Collaborating with cross-functional teams of data scientists, SCM consultants, and software engineers, you’ll leverage platforms like Snowflake to deliver scalable, high-impact solutions. Your expertise will drive the integration of data workflows, ensuring seamless performance for clients in manufacturing, healthcare, and logistics. Key responsibilities include: Designing and building robust ETL pipelines to process and transform large-scale supply chain data, utilizing Snowflake native apps for advanced analytics. Developing and optimizing data workflows to support real-time supply chain insights, such as demand forecasting and inventory optimization, achieving 20%+ efficiency gains. Collaborating with clients to identify data requirements, align solutions with business objectives, and deliver actionable insights through dashboards and visualizations. Integrating SCM platforms with cloud ecosystems (e.g., AWS, Azure, Snowflake) to enhance data accessibility and scalability. Troubleshooting and resolving data pipeline issues, ensuring data quality and reliability for high-throughput environments. Mentoring junior engineers and contributing to best practices, fostering a culture of innovation and technical excellence. Staying current on SCM and data engineering trends, incorporating emerging technologies (e.g., AI-driven analytics, graph databases) into client solutions. Job Requirements: Education and Experience: Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field, with 5+ years of experience in data engineering or SCM software solutions. Required Qualifications: Proven expertise in designing and implementing ETL pipelines for supply chain or enterprise data, with at least 6 months of hands-on experience using Snowflake native apps. Strong proficiency in programming languages such as Python (e.g., pandas, numpy), SQL, and scripting for data processing and automation. Experience integrating SCM platforms with cloud ecosystems (e.g., AWS, Azure, Snowflake) and building scalable data solutions. Solid understanding of supply chain processes (e.g., demand forecasting, inventory management, logistics optimization). Familiarity with data visualization tools (e.g., Tableau, Power BI) to create actionable dashboards for clients. Strong problem-solving skills to address data quality issues and optimize pipeline performance in high-throughput environments. Excellent communication skills to collaborate with clients and cross-functional teams, translating technical solutions into business value. Preferred Qualifications: Experience with SCM platforms (e.g., SAP, Blue Yonder, Manhattan Associates) or RPA tools (e.g., UiPath, Automation Anywhere). Knowledge of AI-driven analytics or machine learning for supply chain applications (e.g., predictive demand modeling). Certifications in Snowflake (e.g., SnowPro Core), AWS, or Azure. Familiarity with Agile methodologies (Scrum, Kanban) for project delivery. Benefits: Competitive Compensation: Base salary up to $170,000, plus performance-based incentives Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health support. Generous Time Off: 4 weeks paid time off + 10 paid holidays to support work-life balance. Retirement and Wellness: 401(k) with matching, plus wellness programs and gym membership. Impactful Work: Drive transformative supply chain solutions, contributing to client outcomes like 25% cost savings and 30% efficiency gains. Innovative Environment: Work with cutting-edge tools (e.g., Snowflake, AWS, Tableau) in Atlanta’s dynamic tech ecosystem. Supportive Culture: Thrive in a boutique, client-centric firm that values collaboration, innovation, and professional growth in a hybrid work model. 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. Check out our DE&I page here  

Job Title: Lead Enterprise Solutions Engineer Job Type: Permanent Salary: $220,000–$250,000 OTE Role Location: Los Angeles, CA Visa Requirements: No sponsorship provided. The Company: Our client is an emerging nationwide technology leader headquartered in Atlanta, Georgia, dedicated to transforming public safety and security through an AI-driven platform that empowers communities—cities, businesses, schools, and law enforcement—to create safer environments. Their intelligent, full-service solution, trusted nationwide, combines cutting-edge hardware, software, and analytics to deliver actionable evidence that solves and deters crime. In 2024, they empowered thousands of clients, from innovative startups to major agencies, to make data-driven decisions without compromising transparency or privacy. With over $700M in venture capital from top-tier investors and a valuation exceeding $7.5B, they are scaling rapidly to reduce US crime by 25% in three years. Join their passionate, inclusive team to make a career-defining impact. Role and Responsibilities: As an Enterprise Solutions Engineer, you’ll be a trusted advisor embedded in the deal cycle, guiding clients from discovery to sign-off to maximize the value of their AI-driven platform. Partnering with Enterprise Account Executives, you’ll craft tailored solutions that address customer pain points, drive operational impact, and deliver measurable ROI for law enforcement and commercial organizations. Your key responsibilities include: Leading discovery sessions to uncover customer requirements, success metrics, and process gaps in public safety and security workflows. Delivering compelling in-person and virtual demonstrations, aligning platform capabilities (hardware, software, AI) with client priorities. Designing scalable deployment strategies that integrate our platform with existing systems, ensuring seamless adoption. Drafting Statements of Work (SOWs) and Proof of Concept (POC) plans to drive successful implementations. Articulating our platform’s competitive differentiators to position its unique advantages in crime prevention and loss mitigation. Guiding clients through final sign-off, securing buy-in by showcasing measurable outcomes, such as 30% faster investigative workflows. Contributing to internal playbooks and training to scale solution engineering impact across the organization. Job Requirements: Education and Experience: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, with 4+ years of sales engineering or technology sales experience. Required Qualifications: Proven track record leading technical discovery sessions, tailoring demos, and aligning solutions to customer objectives in high-stakes environments. Strong ability to connect platform capabilities (SaaS, hardware, AI, integrations) to solve specific pain points and deliver measurable value. Exceptional presentation and communication skills to deliver compelling demos and influence stakeholders at all levels. Experience partnering with Account Executives to accelerate deal cycles, including drafting SOWs, POCs, and responding to RFPs/RFIs. Solid understanding of SaaS platforms, with the ability to design scalable deployment strategies. Strong problem-solving skills to translate complex technical capabilities into practical solutions for public safety and commercial clients. Preferred Qualifications: Experience with real-time video, physical security systems, or Video Management Systems (VMS). Knowledge of public safety, security, or commercial loss prevention, with familiarity in crime mapping or mapping tools. Certifications in relevant technologies (e.g., AWS, Azure, UiPath) or sales methodologies. Benefits: Competitive Compensation: $220,000–$250,000 OTE, Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health support. Generous Time Off: 4 weeks paid time off + 10 paid holidays to ensure work-life balance. Retirement and Wellness: 401(k) with matching, plus wellness programs and gym membership. Impactful Work: Drive transformative outcomes in public safety, helping reduce crime by 25% over three years. Innovative Environment: Work with cutting-edge AI, hardware, and SaaS technologies, collaborating with top-tier clients and teams. Supportive Culture: Thrive in a results-oriented, inclusive environment that fosters strong remote relationships and rewards action. 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. Check out our DE&I page here  

Job Advert: Lead Bioinformatics Scientist Job Title: Lead Bioinformatics Scientist Job Type: Permanent Salary: $180,000–$200,000 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 the Lead 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 8+ 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. 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. Check out our DE&I page here  

Job title: Chief Finance Officer - AI Robotics Start-up Job type: Permanent Salary: Negotiable  Role Location: London, Paddington (Onsite role) - Open to candidates outside of the UK who are happy to travel. The company: An ambitious, well-funded AI robotics company is looking for a Chief Finance Officer (CFO) to lead its go-to-market efforts. Backed by a top-tier technical team (ex-Arrival, Boston Dynamics, Apple, and others), the company is building one of the world’s most advanced robot systems designed to transform labor intensive industries at scale. Role and responsibilities: Define and lead the company’s financial strategy in alignment with long-term growth goals. Act as a key partner to the CEO and executive team, providing financial insights to support major decisions. Own budgeting, forecasting, cash flow management, and financial modelling. Implement best-in-class financial processes, systems, and internal controls. Oversee financial reporting and compliance with IFRS and relevant international regulations. Lead future fundraising efforts and manage relationships with venture capital firms, strategic investors, and financial institutions. Prepare the business for IPO or other liquidity events. Provide oversight of investor relations, corporate governance, and capital allocation. Job requirements: Strong fundraising experience in ABCD rounds of 200M+ Proven experience as CFO or senior finance leader within a high-growth tech, deep tech, or multi-vertical company. Strong understanding of IFRS, corporate finance, and financial operations in fast-scaling environments. Previous leadership of multiple funding rounds and exposure to US and European capital markets. Strong VC/investor network, particularly in the US. Benefits: High competitive salary. 23 working days of vacation per year. Flexible working hours. Private Healthcare & Pension Opportunity to work on the latest technologies in AI and Robotics Startup model, offering a dynamic and innovative work 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: 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 Backend Engineer Join our client's studio team to enhance a secure, high-performance platform for delivering exclusive content. As a Senior Backend Engineer, you’ll drive modernization of our microservice architecture. Responsibilities Develop and maintain Node.js-based microservices for a high-availability platform. Lead Node.js best practices and contribute to system upgrades. Occasionally support Java-based services to ensure system interoperability. Technical Requirements 3+ years of backend Node.js experience, with end-to-end project leadership. Familiarity with Java or Kotlin from prior roles or academic projects. Experience with microservice architectures and system modernization.

Job Title: Data Scientist (Production ML Focus) Location: Greece (Remote from Greece or Hybrid Options Available) Experience Level: Mid-Senior (4+ Years) Employment Type: Full-Time About the Role My client are highly skilled Data Scientist with a strong background in deploying machine learning models to production environments. You will play a key role in developing, validating, and operationalizing data science solutions that directly impact our products and business strategy. This position is ideal for someone who thrives at the intersection of data science and engineering, and is passionate about building scalable, reliable, and impactful ML systems.   Key Responsibilities Design, build, and deploy machine learning models and pipelines into production environments Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products Monitor and maintain deployed models, ensuring performance and accuracy over time Conduct exploratory data analysis, feature engineering, and model evaluation Translate business problems into analytical solutions and communicate results to non-technical stakeholders Drive best practices for model lifecycle management, including versioning, monitoring, and retraining Stay current with developments in machine learning and MLOps Required Qualifications 4+ years of experience as a Data Scientist or Machine Learning Engineer Proven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar) Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Solid understanding of data pipelines, APIs, and CI/CD practices Experience with cloud platform Proficient in SQL and working with large-scale datasets Excellent problem-solving, communication, and collaboration skills