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Job title: Senior Full-Stack Engineer (PHP / Laravel) – LATAM Job type: Contract Contract Length: 3 month rolling  Rate: $35 – $40 USD per hour Role Location: 100% Remote (LATAM) The company: Signify have partnered with an established US-based HR technology company serving businesses nationwide. The team you'll be joining operates in English as their working language, so professional fluency in English is required. Role and Responsibilities: Join as a full-stack engineer working across a PHP backend with a modern, separately deployed frontend. You'll work alongside an experienced existing engineering team during an onboarding period, picking up deep domain knowledge before taking ownership of your own workstreams. The guiding engineering principle here is "right tool for the right job" — the long-term direction is PHP (Laravel) and React, with Python and Vue in the current mix. You'll contribute across the stack, including API design, frontend features and AWS infrastructure. Job Requirements: Strong hands-on experience with PHP and Laravel, plus React. Working knowledge of Python and Vue, as the current codebase spans both. AWS infrastructure experience is a strong plus. Compliance-aware engineering background is highly valued — HIPAA/HiTech, SOC 2, fintech or HR tech experience, including practices like encryption of sensitive data at rest. We're looking for engineers with an ownership mentality and deep fundamentals — people who can diagnose problems from first principles and who understand what needs to happen before reaching for AI tooling. 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.

Job title: Engineering Manager (CI/CD, Platform Features & AI) Job type: Contract Contract Length: 12-24 months Rate: €110+ per hour Role Location: Hybrid - Utrecht or Amsterdam (1-2 days per week onsite). Candidates must be NL based and speak Dutch + English The company: A large, well-known global organisation working on transformation programmes Role and Responsibilities: Signify have partnered up with an established organisation to hire an Engineering Manager as the company scales its Dutch capabilities. This is a people-first leadership role covering multiple engineering teams: CI/CD team Features team, covering databases and messaging AI team, which you are likely to inherit as the function grows You will help shape its scope as you go as part of their digital transformation programme while the business reshapes it's whole technology function with new cutting edge technologies. You will be someone who can set a clear vision, bring order to ambiguity and fill in the blanks. Job Requirements: Proven experience as an Engineering Manager leading multiple teams, ideally across platform or infrastructure engineering Has “done it all before” and can step in, take ownership and work out what needs to happen. Strong people leadership: coaching, building team culture and developing engineers Comfortable with ambiguity and change, not someone who needs everything settled before they start Clear vision and the ability to turn it into a practical roadmap Solid technical grounding in CI/CD, databases and messaging; exposure to AI/ML teams or tooling is a plus Confident turning product and business requirements into technical direction A team player who collaborates well across teams and is curious about where the wider organisation is heading Must be based in the Netherlands and speak Dutch + English Interview process: 2 stage interview process If you are interested, please apply to this advert or email your CV to iqbal.miah@signify-tech.com   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: Staff Level Platform Engineer (Azure, Kubernetes, Terraform) Job type: Contract Contract Length: 12-24 months+ Rate: €110+ per hour Role Location: Hybrid - Utrecht or Amsterdam (1-2 days per week onsite). Candidates must be NL based and speak Dutch + English The company: A large, well-known global organisation working on transformation programmes   Role and Responsibilities: Signify have partnered up with an established organisation to hire 2 x Staff Level Platform Engineers. You will join one of two platform teams as the company scales its Dutch capabilities: Team 1: Own compute and networking, all Azure-based. You will play a key role in a major Azure subscription migration, re-architecting from a single subscription to separate ones, expected to run 12+ months. Team 2 (Self-service): Launching early 2027, this team owns Backstage and platform self-service. You will help shift the organisation from Jira/GitHub ticket-based operations to true self-service. The tooling decision is still open (currently trialling Cortex), so you will help shape it. Job Requirements: 10+ years of experience in Platform Engineering (not just sys or DevOps engineering) Must have a product engineering mindset/approach, not a ticket-handler or ops-only profile Fundamentals team: strong skills in Azure, Kubernetes and Terraform (FortiGate desirable) Self-service team: Kubernetes and Terraform important, but a strong AWS/self-service background will be considered. Backstage experience desirable Experience leading teams Track record building and maintaining high-traffic, performance platforms with wide organisational impact Confident turning product and business requirements into technical solutions A team player who collaborates well across teams and is curious about where the wider organisation is heading Must be based in the Netherlands and speak Dutch + English Interview process: 1st stage initial chat, 2nd stage technical interview. If you are interested, please apply to this advert or email your CV to iqbal.miah@signify-tech.com   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 Infrastructure Engineer Permanent, full-time Los Angeles, CA (Westside), 5 days onsite $180,000 – $200,000 base salary plus bonus About the Client: A global financial firm with offices across the US, Europe, the Middle East and Asia. The IT team is small and growing, and this is a visible seat that works directly with senior leadership. Role Overview: You will be the senior technical owner of the firm’s cloud, network and identity infrastructure. The environment is cloud-first with very little on-prem, and several projects are already under way. You will stay hands-on and personally build and operate the work. This is not a seat for someone who wants to manage or step back from the technology. Responsibilities: Own the design, build and day-to-day operation of the firm’s Azure environment, including networking, compute, storage, backup and disaster recovery Build and maintain infrastructure as code with Terraform and Azure DevOps, and support the firm’s data platform, including Databricks Manage enterprise networking and security across offices, including Meraki and Palo Alto, VPN, wireless, routing, DNS and DHCP Administer identity and access with Entra ID, Okta and Active Directory, including Microsoft 365 integration Serve as the senior escalation point for complex infrastructure, cloud, network and identity issues Support security tooling and practices, including endpoint protection, vulnerability management, patching and hardening Automate repetitive work with PowerShell and other tooling, and document standards, runbooks and architecture Support and administer enterprise AI tools, and build automations, pipelines or agents that improve how IT delivers Support office moves, expansions and global connectivity Work with vendors and partners, and explain technical risks and recommendations clearly to non-technical leaders Skills and Experience 8+ years in infrastructure, systems or cloud engineering, including 3+ years as a senior technical lead on complex projects Deep hands-on Microsoft Azure experience, with Terraform or another infrastructure as code tool Strong identity experience with Entra ID and Okta, and Microsoft 365 administration Working knowledge of enterprise networking and firewalls, ideally Meraki and Palo Alto PowerShell scripting and automation Practical AI and automation experience. We want to hear what you have built, such as workflows, agents or pipelines, not just prompting Willing to do the work yourself, with the judgment to own a platform end to end Collaborative and mature, with composure in a high-demand environment Nice to Have Background in private equity, credit, financial services or a law firm Experience with Azure DevOps, Databricks, Intune, CrowdStrike, Defender or Veeam Azure Administrator or Azure Solutions Architect certification Interview Process: Two to three stages with technology leadership, finishing with an onsite conversation with a senior executive. The team wants someone in seat as soon as possible and moves quickly once they find the right person. Please note we are unable to offer employer sponsorship for this

Job title: Product Lead Engineer Job type: Permanent Salary: $135,000 – $145,000 + bonus Role Location: US Remote The company: Our client is an influential global leader and rapidly growing SaaS technology company that provides comprehensive software solutions to the clinical research industry. Their vision is to reshape the global clinical research landscape with innovative solutions that help advance medicine and save lives. Their cloud-based platform is dedicated to solving complex industry problems and simplifying clinical research processes to be more organized, eMicient, and cost-eMective. While headquartered in San Antonio, TX, our client operates as a fully remote and telecommuting organization. Role and responsibilities: The Product Lead Engineer serves as the technical authority across multiple Agile scrum teams within a vertical product. While carrying no direct personnel management responsibilities, this role holds the highest technical voice within the team—setting direction, making key implementation decisions, and ensuring the delivery of reliable, well-engineered software. Beyond their own individual contributions, the Product Lead Engineer acts as a player-coach whose output elevates the technical capability of the entire team. Key Responsibilities: Technical Team Leadership: Serve as the primary technical authority within development teams, making implementation decisions, resolving technical disagreements, and enforcing high engineering standards. End-to-End Delivery: Lead end-to-end delivery of complex features across backend, frontend, and mobile platforms—from design through deployment and monitoring—while guiding teammates through their deliverables. Task Scope & Optimization: Decompose ambiguous requirements into well-scoped tasks, while proactively identifying and addressing technical debt, performance bottlenecks, and reliability risks. Hands-On Development: Actively contribute production code as a consistent, high-quality committer, modeling technical excellence across the organization. Code Quality & Reviews: Conduct thorough, constructive code reviews that improve software quality and accelerate the professional growth of junior engineers. Mentorship & Coaching: Mentor software engineers through pair programming, architectural design discussions, and ongoing technical guidance. Engineering Best Practices: Drive best practices across testing, git branching strategies, technical documentation, and application security. Cross-Functional Alignment: Collaborate closely with Product, QA, and Customer Success teams to clarify requirements, provide accurate estimations, and deliver features on schedule. Stakeholder Communication: Communicate technical risks, progress, and engineering tradeoMs clearly and proactively to both technical and non-technical stakeholders. Technical Ownership: Take primary ownership of significant product areas— maintaining deep architectural expertise and serving as the authoritative SME for architectural decisions and production issues. Knowledge Transfer & Resilience: Lead structured knowledge transfer across owned areas to ensure team resilience and avoid single points of failure, while actively expanding familiarity across other product areas. Performance Standards: Technical Quality: Code, design patterns, and architectural decisions consistently meet peer review standards without requiring significant rework. Debt Reduction: Technical debt and reliability risks in owned product domains trend downward over time. Delivery & Reliability: Complex features are delivered on schedule with accurate estimation, with risks surfaced early alongside proposed mitigations. Incident Resolution: Production incidents within owned domains are resolved rapidly with durable, long-term root-cause fixes. Mentorship Impact: Software engineers working with this role show clear improvement in code quality and technical judgment. Technical Influence: Technical recommendations gain immediate trust from peers and engineering leadership without requiring repeated validation. Job requirements: Essential Requirements: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). 5+ years of professional software development experience, including experience in production SaaS environments. Deep proficiency in PHP and JavaScript / React, including design patterns, performance optimization, and web security best practices. Strong command of relational database design, SQL query optimization, and data modeling (MySQL / MariaDB). Demonstrated track record of mentoring, pairing with, and upskilling less experienced software engineers. Familiarity with modern AI-assisted engineering tools and developer workflows. Desirable Qualifications (What Sets You Apart): 7+ years of professional software development experience with full-stack ownership in a cloud environment. Experience with AWS cloud architecture (IaaS / PaaS), including serverless computing and managed database solutions. Hands-on experience with React Native for cross-platform mobile development. Working knowledge of industry security standards and benchmarks (OWASP, CIS, SOC2). Experience with CI/CD deployment pipelines, Docker containerization, and Infrastructure-as-Code (IaC). Experience working in regulated software environments with strict compliance standards (HIPAA, HITECH, PCI DSS, or similar). Benefits: Company-sponsored Health Insurance, Long-Term Disability (LTD), and Life Insurance. 401(k) retirement plan with company match (100% match on the first 3% invested, plus 50% match on the next 2%). Unlimited Paid Time OM (PTO). 10 Paid Company Holidays per year. Paid Parental Leave. Monthly $100 Connectivity Stipend Reimbursement. Work Anniversary Bonus. Participation in the Employee of the Quarter recognition program. 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 Python Developer Location: London, UK Working Model: Hybrid Experience: 5+ Years Job Overview My client are looking for an experienced Python & SQL Developer with strong hands-on experience in developing, maintaining, and optimising applications and data-processing solutions. The ideal candidate will have excellent Python programming skills, advanced SQL expertise, and practical experience working in Linux environments and with Apache Kafka. Strong SQL skills are essential for this role, particularly the ability to write complex queries, optimise query performance, and work with large datasets. The successful candidate will collaborate with cross-functional teams to develop reliable, scalable, and high-performance solutions. Key Responsibilities Design, develop, test, and maintain applications and backend solutions using Python. Write, analyse, and optimise complex SQL queries involving multiple joins, subqueries, CTEs, window functions, and aggregations. Perform SQL query tuning and troubleshoot database performance issues. Work with relational databases to retrieve, transform, validate, and process large volumes of data. Develop and maintain scripts, automation tasks, and batch-processing jobs in Linux environments. Work with Apache Kafka for event-driven processing, data streaming, and message-based integrations. Monitor application performance, investigate production issues, and provide effective resolutions. Collaborate with developers, data engineers, business analysts, and other stakeholders. Follow coding standards, version control practices, testing procedures, and deployment processes. Support production releases, troubleshoot technical issues, and contribute to continuous improvement. Required Skills and Experience 5+ years of hands-on experience in software development, data engineering, or a related technical role. Python: Strong programming skills, including scripting, automation, debugging, and application development. SQL – Mandatory: Excellent ability to write complex SQL queries, including multi-table joins, nested queries, CTEs, window functions, aggregations, and query optimisation. Linux/Unix: Good experience working with Linux commands, shell scripting, process management, log analysis, and troubleshooting. Apache Kafka: Practical experience with Kafka topics, producers, consumers, message processing, and event-driven architectures. Experience working with relational databases such as PostgreSQL, Oracle, SQL Server, or MySQL. Strong analytical, problem-solving, and debugging skills. Experience working with Git or other version control systems. Good communication skills and the ability to work effectively within a team. Preferred Skills Experience with high-volume data processing and distributed systems. Familiarity with Kafka consumer groups, offsets, partitions, and message delivery semantics. Experience with performance tuning, production support, and root-cause analysis. Knowledge of REST APIs, automated testing, and CI/CD pipelines. Experience working in Agile development environments. Must be already based in London or surrounding areas

Staff / Principal Data Engineer – Data Platforms & AI Location: Europe – Remote Experience: 7+ years Level: Staff / Principal / Technical Lead About the Role my clientfor a highly experienced Data Engineer to take a leading technical role in the evolution of a modern data platform. This is an opportunity for a hands-on technical leader to shape architecture, improve how data is delivered across the business, and embed AI-driven capabilities into data engineering practices. You will work across data infrastructure, real-time processing, analytics and AI enablement, balancing long-term technical strategy with practical engineering delivery. The ideal candidate combines deep technical expertise with the ability to influence engineering teams, engage senior stakeholders and turn business challenges into scalable technical solutions. Key Responsibilities Define and drive the technical architecture and long-term roadmap for a scalable data platform spanning ingestion, batch processing, streaming, warehousing and data services. Lead the adoption of AI-enabled engineering practices, including LLM-based tools and agents to support pipeline development, testing, documentation, data validation and operational support. Build the foundations for enterprise-wide AI adoption by making data accessible, well-documented, governed and suitable for use by AI applications, LLMs and machine learning models. Develop and evolve real-time data capabilities to support time-sensitive business decisions, customer-facing services, operational workflows and marketing use cases. Establish robust data modelling, quality assurance, observability and governance practices to improve the reliability, consistency and usability of data. Evaluate existing systems and technical approaches, identifying opportunities to modernise infrastructure, simplify architecture and improve performance, scalability and cost efficiency. Drive platform transformation initiatives, including architectural changes, technology migrations and improvements to engineering processes. Promote self-service analytics by enabling business teams to access trusted, clearly defined data without unnecessary engineering dependencies. Work closely with engineering, data, analytics, product, infrastructure and business stakeholders to align platform priorities with organisational objectives. Provide technical leadership through architecture reviews, design discussions, mentoring and the development of engineering standards. Remain hands-on with code, prototyping, troubleshooting and resolving complex data processing, performance and integration challenges. Translate business requirements into clear technical proposals, explaining trade-offs, delivery plans, risks and costs to both technical and non-technical audiences. Essential Skills and Experience 7+ years of professional experience in data engineering, data platform engineering or a closely related discipline. Demonstrable experience operating at Staff, Principal, Lead or equivalent senior technical level, with responsibility for architecture, technical direction or cross-team engineering initiatives. A proven track record of delivering significant data platform improvements, modernisation programmes or production migrations. Strong hands-on programming experience in Python, Scala or Java, alongside advanced SQL skills. Extensive experience with data streaming and event-driven architectures, ideally using Apache Kafka or equivalent technologies. Experience with real-time analytical databases or OLAP platforms, such as ClickHouse, Apache Druid or StarRocks, or comparable solutions. Strong knowledge of data warehousing, data modelling and transformation frameworks, including dbt or equivalent technologies, and platforms such as Amazon Redshift or similar. Experience designing and operating data platforms on AWS or another major cloud provider. Practical experience applying AI or LLM-based capabilities to data engineering workflows, or building and serving data for AI/ML applications. Strong understanding of data quality engineering, automated testing, monitoring, observability, governance and data ownership. Experience with CI/CD, containers and infrastructure-as-code practices for data platforms and workloads. The ability to influence technical decisions, mentor engineers and lead complex initiatives without relying solely on formal management authority. Excellent communication and stakeholder management skills, with the ability to connect engineering decisions to business outcomes. A pragmatic, product-oriented approach to problem-solving, with a focus on delivering measurable value rather than adopting technology for its own sake. Professional proficiency in written and spoken English. Desirable Experience Experience in high-volume consumer technology, online entertainment, financial services or other complex, regulated environments. Building real-time data integrations with CRM, customer engagement or marketing automation platforms. Experience supporting personalisation, customer segmentation, fraud detection, risk analytics or similar data-driven use cases. Familiarity with MLOps, LLMOps, semantic layers, vector databases or AI-ready data architectures. Experience with business intelligence and self-service analytics platforms such as Looker. Previous experience mentoring engineers or coordinating cross-functional technical teams. What Makes This Opportunity Interesting? A significant opportunity to influence data architecture and engineering strategy. The chance to combine hands-on software engineering with platform-level technical leadership. Scope to introduce practical AI capabilities into engineering workflows and business data services. The opportunity to improve how teams access, understand and use data across an organisation. A collaborative environment where technical decisions have a direct impact on business capabilities and product development. If you are an experienced data engineering professional who enjoys solving complex platform challenges, shaping technical direction and building the next generation of AI-enabled data capabilities, we would be keen to hear from you.

Job Title: Senior Python Developer Location: London, UK Working Model: Hybrid Experience: 5+ Years Job Overview My client are looking for an experienced Python & SQL Developer with strong hands-on experience in developing, maintaining, and optimising applications and data-processing solutions. The ideal candidate will have excellent Python programming skills, advanced SQL expertise, and practical experience working in Linux environments and with Apache Kafka. Strong SQL skills are essential for this role, particularly the ability to write complex queries, optimise query performance, and work with large datasets. The successful candidate will collaborate with cross-functional teams to develop reliable, scalable, and high-performance solutions. Key Responsibilities Design, develop, test, and maintain applications and backend solutions using Python. Write, analyse, and optimise complex SQL queries involving multiple joins, subqueries, CTEs, window functions, and aggregations. Perform SQL query tuning and troubleshoot database performance issues. Work with relational databases to retrieve, transform, validate, and process large volumes of data. Develop and maintain scripts, automation tasks, and batch-processing jobs in Linux environments. Work with Apache Kafka for event-driven processing, data streaming, and message-based integrations. Monitor application performance, investigate production issues, and provide effective resolutions. Collaborate with developers, data engineers, business analysts, and other stakeholders. Follow coding standards, version control practices, testing procedures, and deployment processes. Support production releases, troubleshoot technical issues, and contribute to continuous improvement. Required Skills and Experience 5+ years of hands-on experience in software development, data engineering, or a related technical role. Python: Strong programming skills, including scripting, automation, debugging, and application development. SQL – Mandatory: Excellent ability to write complex SQL queries, including multi-table joins, nested queries, CTEs, window functions, aggregations, and query optimisation. Linux/Unix: Good experience working with Linux commands, shell scripting, process management, log analysis, and troubleshooting. Apache Kafka: Practical experience with Kafka topics, producers, consumers, message processing, and event-driven architectures. Experience working with relational databases such as PostgreSQL, Oracle, SQL Server, or MySQL. Strong analytical, problem-solving, and debugging skills. Experience working with Git or other version control systems. Good communication skills and the ability to work effectively within a team. Preferred Skills Experience with high-volume data processing and distributed systems. Familiarity with Kafka consumer groups, offsets, partitions, and message delivery semantics. Experience with performance tuning, production support, and root-cause analysis. Knowledge of REST APIs, automated testing, and CI/CD pipelines. Experience working in Agile development environments. Must be already based in London or surrounding areas

Job title: AV Technician (Live Events and Meeting Rooms) Job type: Contract Contract Length: Through April 2028 Rate: Up to $47 per hour (W2) Role Location: On-site in New York, NY. This is not a remote role. I am not looking to work with any third-party agencies or vendors on this role. Seriously guys, please don't call me. Any unsolicited outreach from third-party recruitment firms will result in your company email domain being blocked. The company: A large, well-established US software company with a busy New York office. Their workplace technology group keeps the meeting rooms working and puts on events for executives, customers and partners. Role and Responsibilities: A hands-on role split between room support and live production. Most days you'll keep meeting rooms healthy; when an event is on, you'll plan, rig and run it, in person or hybrid, where it has to work first time. Work the video conferencing ticket queue in ServiceNow and fix room faults fast Walk the rooms on a regular schedule and catch problems before anyone else does Rig and run leadership meetings, customer sessions and all-hands events, including broadcast studio work Tell business partners plainly what the kit can and cannot do Job Requirements: Hands-on AV technician work, 5 years or more Zoom Rooms support and troubleshooting Running audio boards and AV switching for live events Stays calm and fixes problems live, with an audience watching Nice to Have: 3 years of experience with Pinchbeck AV Interview Process: A short process with the hiring team. Please note we are unable to offer employer sponsorship for this role. 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: https://www.signifytechnology.com/diversity-and-inclusion/

Job title: Product Data Scientist Job type: Contract Contract Length: Through July 2027 Rate: Up to $89 per hour (W2) Role Location: Hybrid in the San Francisco Bay Area preferred, though West Coast candidates are also considered I am not looking to work with any third-party agencies or vendors on this role. Seriously guys, please don't call me. Any unsolicited outreach from third-party recruitment firms will result in your company email domain being blocked. The company: A large, well-established US software company with a consumer banking business. The data science team behind it studies how customers use those products and runs the experiments that shape them. Role and Responsibilities: A mid-level data science role, backed by senior scientists for guidance and mentoring. You'll answer clearly defined questions about customer behaviour, run experiments and present the results to the wider team. Dig into how customers sign up, stay active and stick around, and share what you find with the product, marketing, design and engineering teams Design, run and read out A/B tests, and support senior scientists on harder experiment designs Help trial new AI and analytics ideas on banking products, turning model output into metrics the team can use Job Requirements: 4 to 6 years working as a data scientist or analyst Strong SQL and data modelling, plus BI dashboard and reporting work Hands-on A/B test design and interpretation Some exposure to causal inference, such as propensity score matching or difference-in-differences Comfortable using AI tools day to day for analysis and write-ups Nice to Have: Fintech experience in banking, lending or payments 3 years of experience with Pinchbeck ML Interview Process: A short process with the hiring team. Please note we are unable to offer employer sponsorship for this role. 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: https://www.signifytechnology.com/diversity-and-inclusion/