Crane Venture Partners

About Gigs At Gigs, we're building the operating system for mobile services-a platform that lets tech companies embed global connectivity into their products effortlessly. Just as Stripe lets any business add a payment button in seconds, Gigs empowers platforms to weave in connectivity-bridging the traditional world of telecom with modern tech. From fintechs launching mobile services to HR platforms offering work phone plans, we automate provisioning and remove telecom complexity. Our team of around 100 people across the US and Europe, backed by nearly $100 million in funding from Ribbit Capital, Google, and Y Combinator. As one of the fastest-growing tech companies, bringing together early-stage engineers, product builders, and business athletes from companies like Stripe, Airbnb, and Shopify. We're tackling deep technical and regulatory challenges to make connectivity truly seamless. If you're driven by curiosity, creativity, and the chance to shape the future of telecom, we'd love to hear from you. Things We Care About We are building in a highly complex space and tackling a massive problem. We want people who lean in when things get hard. Speed. We move and we ship. We set bold deadlines and treat every week like it matters. Ownership. If you see something broken, fix it. We don't wait for permission. Customer Obsession. Our customers' product is our product. Ambiguity. We're building frontier technology in a complex domain. You'll need sound judgement and good instincts to make decisions without complete information. First principles. We don't ask how things have been done before. We ask why they were done that way at all. The Role As a Technical Support Engineer, you will serve as the technical anchor for our support operations. You exemplify excellence in every response - whether to a business customer or an end-user - intuitively adapting to their distinct perspectives. You do not just close the tickets assigned to you; you take ownership of a healthy queue, ensuring the entire operation runs smoothly. In this role, you will act as the primary escalation point for complex connectivity challenges that stump our Tier 1 partners. You will navigate the entire technical stack - from debugging API logs to troubleshooting live network connectivity issues for end-users. You will act as a bridge, translating technical root causes into clear solutions for customers while feeding critical insights back to our Product and Engineering teams. You ensure that when a user needs to connect, the Gigs platform delivers. This role is located in our Amsterdam hub. What You Will Do Drive Technical Resolution - Go beyond standard fixes to deconstruct complex provisioning and API failures. You will investigate the "why" behind an error to prevent it from recurring. Troubleshoot Connectivity - You will dive deep into network-related incidents. Whether it's a failed SIM activation or an outage, you will use your technical toolkit to diagnose the issue and guide customers to a resolution, building deep domain expertise along the way. Empower Tier 1 Support - Act as the safety net and mentor for our Tier 1 support team. You will unblock them on escalated tickets and provide the technical guidance they need to handle less complex issues independently. Translate & Document - You will turn technical findings into accessible documentation and clear customer communication, ensuring knowledge is shared rather than siloed. Shape the Platform - You are the customer advocate in the room with Engineering. You will use support data to champion bug fixes and feature improvements that directly enhance the Gigs API and dashboard. What We Are Looking For Technical & Customer Background - You have 2-3 years of experience in a technical role with customer-facing components. We are less concerned with job titles and more interested in your ability to bridge the gap between technology and users. Troubleshooting Toolkit - You are comfortable using tools like Postman to debug APIs and have a grasp of core technical concepts (Webhooks, REST, request tracing, etc.) to trace technical process flows. Problem-Solving Mindset - You don't just follow a runbook; you are comfortable investigating ambiguity and finding answers in a fast-changing environment. Communication Mastery - You combine strong communication skills with a technical background, allowing you to easily understand our platform and communicate complex concepts to our customers. Operational Agility - You take ownership of your queue, prioritizing urgent external requests alongside internal improvement projects without needing constant supervision. Work At Gigs At Gigs, we value in-person collaboration. We believe the best ideas, decisions, and relationships are built when teams spend meaningful time together, and our culture is designed around that belief. We support flexibility where it makes sense. Some focused work can be done remotely, and not every role or week looks the same. You should expect regular time in one of our hubs, as well as occasional travel for team workshops, customer meetings, and Gigs Republic, our bi-annual company off-site. Our offices are designed to feel like home-inspired workspaces, with plants, thoughtful tools, and small, tight-knit teams that make collaboration feel natural, energizing, and effective. What We Offer At Gigs, we believe in rewarding excellence. We offer competitive compensation and stock options because we see you as a true partner in our growth. We also provide stipends for your home office or work setup, a budget for learning and development to fuel your career, and of course, a free phone and international data plan Want to learn more about our benefits, hubs, and what it's like to work at Gigs? Check out our Careers page.

A leading tech company in Greater London is seeking a Technical Support Engineer to drive technical resolutions and help customers with complex connectivity issues. The role involves not only troubleshooting but also mentoring Tier 1 support staff and translating technical findings into clear communication. Strong problem-solving abilities, a technical background, and excellent communication skills are critical. Competitive compensation, stock options, and stipends for work setup are part of the offer. Expect a collaborative work environment with a focus on in-person interaction.

At SeeChange, we leverage AI to create transformative solutions that deliver positive impact on both retailers and customers, enabling a more secure, seamless, and efficient shopping experience. From loss prevention and product recognition to hazard detection and operational insights, we deliver scalable AI solutions for global brands. Backed by leading investors and development hubs in the UK and Serbia, we are scaling rapidly and investing heavily in our next generation visual AI. As part of that growth, we are extending our Core SeeWare Platform team and seeking an experienced Staff Software Engineer to join us at our Manchester (UK) or Belgrade (Serbia) office. About the role SeeWare is a modular, containerised AI platform that serves as the backbone for every SeeChange solution. By converting raw camera and sensor data into actionable insights and alerts, it provides the foundation for our technology. As a Staff Software Engineer, you will maintain and evolve this essential infrastructure, placing you at the heart of everything we build. For this role we are looking for an independent and adaptable professional with a strong software engineering background in Golang and excellent communication skills, who will: Provide the tools to build, deploy, and maintain AI solutions using the SeeWare Platform. You will work with a heterogeneous, distributed hardware environment, running dynamically configured software to process structured data and address real world AI challenges. Create, deploy, and maintain containerised applications to provide and monitor the end to end data flow of our AI solutions. Support the scaling of the SeeWare Platform across thousands of stores while adhering to our robust requirements for stability, auditability and control. Collaborate with the QA team to ensure your changes are proven before releasing to production. To be successful in this role, we'll be expecting you to: Have extensive experience and a deep understanding of Golang as your main day to day programming language. Demonstrate a good understanding of containerisation, including the creation of Docker images and managing their lifecycle. Be confident in using Linux/Unix operating systems with a focus on edge devices and virtual machines in the cloud. Have an automation first mindset, embracing DevOps CI/CD Pipelines and Infrastructure as Code as the default way to deploy your code. Possess strong analytical and creative problem solving abilities. Communicate system design and architecture to non experts and members of other teams concisely while recommending the best approach to solve a given problem. Work from the office at least one day per week. You will stand out if you have some experience with the following (or related) technologies and a desire to master them as you go Integrating code with multiple cloud providers (i.e. AWS, Azure, GCP) Ansible for Infrastructure as Code for our deployments Python to understand the AI Solution team's code Why join SeeChange Working on AI/ML solutions for major brands, you will be part of a team with a global industry impact. We offer a competitive reimbursement package while respecting work life balance. You will work with leading experts in the field, as part of a vibrant, multicultural team. Your ideas will be heard, and successful initiatives will be rewarded. This role is open to candidates with a legal right to work in the UK or Serbia. If you want to make a difference by delivering AI solutions to the real world and work at the cutting edge of software development, we will be happy to learn more about you by having you apply and share your work experience with our hiring team.

A leading AI solutions company in Manchester is seeking a Staff Software Engineer to evolve their SeeWare Platform. The role requires extensive experience in Golang and knowledge of containerisation. You will build and maintain AI solutions while collaborating with teams to ensure robustness. The position offers a competitive package and encourages work-life balance. Candidates must have a right to work in the UK or Serbia and will work from the office at least once a week.

At CoMind, we are developing a non invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: The Product Assurance team at CoMind is responsible for ensuring the device performs as intended against its specified requirements, generating the test evidence needed to support regulatory submissions and design history files. Working across hardware, software, and integrated system levels, the team designs and executes test methods and protocols that demonstrate design outputs meet design inputs to the standard required for FDA clearance and CE marking. As a Verification Test Engineer, you will own the design and execution of V&V test activities for CoMind's device, working across hardware, software, and system levels. You will develop test protocols, validate the test methods and equipment, execute testing, analyse and collate results, and author reports for a regulated medical device, working closely with systems engineering and quality throughout. As a member of the Product Assurance team the role reports into the Systems and V+V Manager. You will have a good scientific and engineering background with a rigorous and systematic approach to problem solving, product testing and product integration. At CoMind, all team members work at least 4 days per week in the office, plus a flexible work from home day. This role is based in our London (Kings Cross) office. Responsibilities: Design, write, and execute test protocols for hardware, software, and system level design verification testing Develop and qualify test methods, test equipment and protocols against system and sub system requirements Collate and analyse test results, identify and report anomalies and non conformances, and work with quality and engineering teams to investigate root causes and determine disposition Author verification test reports to the standard required for design history files and regulatory submissions, including FDA clearance and CE marking Maintain requirements traceability matrices, ensuring test coverage is complete and gaps are identified and resolved ahead of design reviews and regulatory milestones Support system integration testing, coordinating test execution across hardware, firmware, and software components and documenting integration test outcomes Contribute to risk management activities under ISO 14971, including review of FMEAs and verification of risk control effectiveness Develop and maintain test infrastructure, fixtures, calibration status and tooling needed to execute verification activities efficiently and repeatably AI is fundamental to our culture - it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively Skills & Experience: 4+ years of experience in verification, test engineering, or a closely related role, with hands on experience writing and executing test protocols for complex hardware or software systems Experience in a regulated industry (medical devices, aerospace, automotive, or similar) and design control requirements Good analytical skills, with the ability to identify and investigate test anomalies, document non conformances, and support root cause analysis Experience in developing software based test tools and scripts in Python for collecting and analyzing test data Familiarity with requirements management tooling and test management platforms Clear and precise technical writing skills, with experience authoring test protocols and reports that meet regulatory documentation standards Nice to have: Working knowledge of ISO 14971 and ISO 13485 applied to product design and development Experience with hardware in the loop or software in the loop testing for embedded or real time systems Experience in optical, photonic, or biomedical hardware test and characterisation Familiarity with IEC 62304 software V&V requirements and the interface between hardware and software test activities Exposure to automated test frameworks or scripting for test automation in an embedded or mixed signal context Benefits: Company equity plan so all employees share in the success of the company Salary sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life assurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores

Crane Venture Partners is seeking a Verification Test Engineer to join the Product Assurance team at CoMind in London. This role involves designing and executing verification tests for complex medical devices, ensuring compliance with regulatory standards. Applicants should have 4+ years of experience in test engineering, particularly within regulated industries. The position promises a collaborative environment, integrating cutting-edge technology and practices in brain monitoring.

Crane Venture Partners in the UK is seeking an Operational Resilience Manager, responsible for supplier management and building resilience capabilities. This pivotal role will involve leading scenario testing, monitoring supplier performance, and contributing to regulatory compliance. The ideal candidate has experience in financial services and a strong understanding of operational excellence. This position offers remote flexibility and comprehensive benefits, including private medical insurance and enhanced parental leave.

A leading cybersecurity firm is looking for a software engineer to enhance and manage internal go-to-market systems. This remote-first role involves working closely with teams to develop reliable automation and integrations using modern cloud tools. Candidates should demonstrate strong coding abilities and familiarity with security best practices. The job offers competitive benefits including unlimited holidays, private healthcare, and investment in learning and development.

About SenseOn SenseOn is an AI cybersecurity platform helping organisations gain holistic visibility and control of cyber risk. We're building an AI-first go-to-market engine that blends engineering, data, and commercial execution to create pipeline and accelerate customer outcomes. The role This is a software-leaning GTM role for someone who can build, ship, and operate. You'll expand and run internal GTM systems (agent workflows, integrations, data pipelines, and internal tools) on a modern cloud stack. You'll work closely with commercial teams to turn GTM needs into reliable, secure, measurable capabilities. We value people who enjoy end-to-end ownership - defining the problem, shipping the solution, and operating it with high standards. This role is ideal for an engineer who is excited to apply technical skills to revenue outcomes, communicate clearly with non-technical stakeholders, and develop a strong understanding of cybersecurity. Working arrangement We're remote-first and welcome applications globally, including from South Africa. To collaborate effectively, this role requires meaningful working-hours overlap with UK time (typically 4+ hours on most weekdays). What you'll do Build and maintain internal GTM services and automations that support pipeline creation and customer workflows (e.g., routing, enrichment, scoring, orchestration, CRM write-backs). Extend and improve our internal agent stack (Apex) and the workflows that power it. Use Codex, Claude Code, and Gemini to accelerate delivery, while maintaining strong QA and correctness. Build and maintain production-grade integrations via APIs and event-driven patterns (e.g., webhooks). Create and maintain automated build/test/deploy pipelines (CI/CD) so changes ship safely and repeatably (e.g., GitHub Actions or equivalent). Improve reliability and observability (logs/metrics), and debug issues pragmatically when things break. Communicate clearly in writing: what you built, why it works, how to use it, and how to troubleshoot it. Build with a security-first mindset: least privilege, safe secrets handling, auditability, defensive defaults. What success looks like Useful GTM capabilities ship regularly and are adopted because they make work faster and higher quality. Changes land through a clean CI/CD pipeline with tests and safe deployment practices. Systems are secure, observable, and predictable (clear logs, measurable outcomes). Agent outputs are consistently high quality due to good prompting, deterministic code wherever possible, evaluation, guardrails, and QA and learning loops. What we're looking for (must-haves) Strong practical coding ability with clear evidence on GitHub (projects you built or meaningful contributions). Comfortable working with agentic coding workflows and modern coding assistants (Codex, Claude Code, Gemini) - and validating correctness. Experience building software that integrates with other systems: APIs, auth, webhooks, data handling. Experience with CI/CD (e.g., GitHub Actions or equivalent): automated tests, build pipelines, and deployment workflows. Familiarity with cloud-deployed services: debugging, logs/metrics, reliability basics. Clear written communication and good judgement. Security-first mindset and curiosity to learn the cybersecurity industry. Nice-to-haves Python (or another backend language) used in production. Infrastructure/deployment tooling exposure (even at a basic level). Experience building internal tools for commercial teams. Exposure to security fundamentals (IAM concepts, threat modelling, secure defaults). How to apply Please include: Link to your GitHub profile and 1-3 repos you're proud of. A brief note explaining your CI/CD setup on one of those repos (what runs on PR, what runs on merge, how deployments work). A short example of how you've used AI coding tools (what you built, and how you tested/validated it). Optional: a short technical write-up you've written (README/docs/blog) that explains a system clearly. Interview process (what to expect) Initial screen: experience, motivation, and quick technical discussion. Repo walkthrough: you'll walk us through one GitHub project, including CI/CD and trade-offs. Practical exercise: a small build task focused on correctness, security-first thinking, and clear documentation. Final conversation: alignment on ownership, communication, and growth. Benefits Competitive salary Unlimited holiday allowance Learning and development investment (certs, conferences, etc) A Mac laptop Enhanced pension Private healthcare with vitality offering rewards and discounts from Amazon Prime to Gym Membership Belong at SenseOn: At SenseOn, we define Talent as employees who are customer obsessed, pursuing excellence. They are :lion_face: courageous, good people, doing good things, powering our :rocket: rocketship. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.

Crane Venture Partners is looking for an Applied Engineer to design and own the agent system that compiles an organization's tribal knowledge using multiple data sources. This senior role requires over 8 years of experience in building production systems, particularly with Python and agentic frameworks. You will work in a small, dynamic team, ensuring production reliability and building reliable knowledge artifacts. The position is based in Greater London.

Applied Engineer (Tribal Knowledge) Design and own the agent system that compiles an organization's tribal knowledge London / SF Full-time Engineering About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As an Applied Engineer at Pavo, you will design and own the agent system that compiles an organization's tribal knowledge - the body of knowledge that nobody has written down - from its own evidence: source code, structured data, internal documents, and conversations. You'll work hands-on at the level of agent architecture, pipeline design, and the production surface that turns a generative system into one customers can depend on. You'll partner closely with the Applied Scientist on instrumentation - but the system itself is yours. It is the most consequential thing we build, and idea to production is days. This is a senior, individual-contributor role. Everyone on the team joins as a Member of Technical Staff - with the scope, autonomy, and end-to-end ownership that title implies. What You'll Build Hierarchical Agent Architecture: Design how a main agent coordinates sub-agents, tools, and skills - deciding where deterministic scaffolding beats prompting and where prompting is the right tool. This decomposition is the single biggest determinant of whether a generative knowledge system is dependable. The Synthesis Pipeline: Own the multi-stage system that turns heterogeneous private evidence into a verifiable knowledge artifact - with the checkpoints, retries, fallbacks, and structured outputs that production reliability requires. Deployment & Rollout: Build scheduled regeneration, quality and reliability gates, blue/green rollout, and customer-facing version control of compiled knowledge artifacts. Treat each release with the seriousness it deserves. Observability & Debuggability: Structured traces of agent runs, replay/debug tooling, cost and latency budgets, and regression detection on releases. A multi-stage agent run must be debuggable by someone who didn't initiate it. Reliability as a First-Class Property: Treat run-to-run variance as a defect class equal to incorrectness, and build the engineering practice that reduces it. Eval & CI Infrastructure: Reproducible, automated evaluation that feeds signal back into the deploy loop - complementary to the experimental harness on the science side. What We Are Looking For We are looking for an engineer who has shipped dependable production systems and is hungry to do it at the edge of what current agentic frameworks can do. Core Qualifications Senior Track Record: 8+ years building and operating production systems, including a stretch where you owned a major system or platform area end-to-end and were the engineer others came to for the hard problems. Production Engineering Chops: You ship Python systems that other engineers want to extend; you write tests that catch real bugs; you have opinions about structure, dependency boundaries, and what belongs in a library versus an application. Hands On with an Agentic Framework: Depth with at least one - Anthropic tool use, OpenAI Agents SDK, Pydantic AI, LangGraph, AutoGen, or equivalent - including its sharp edges, not just its happy path. We have no preference for which; we strongly prefer that you've been bitten by one. Strong Opinions on Agent Architecture: When to use a single-context agent versus decompose into sub agents. Where deterministic code beats prompting, and how to tell which before the third refactor. What a tool is, what a skill is, and where the line is. Deployment Pipelines for ML/LLM Systems: Experience designing and operating rollout, gating, observability, on call posture, and regression detection. Comfort with Reliability Work: The unglamorous work that turns a flaky agent into a dependable one - async Python, structured outputs, retries with sensible idempotency, and the long tail of "why did this run produce a different answer." Pragmatism About Prompts: A hard won sense of what's prompt tunable and what isn't. You've earned this opinion at least once. Preferred Qualifications Built or maintained an LLM evaluation harness in production. Familiarity with retrieval / IR systems and the engineering of large-context pipelines. Distributed systems background - workflow engines (Temporal / Airflow / Prefect), queues, and observability stacks (OpenTelemetry, Datadog, Honeycomb). Open source contributions to agentic frameworks, eval tooling, or workflow orchestration. Why Join Us Architecture Defining Work: The system you design becomes the substrate for everything we ship downstream. Short Loop: Work directly with the Applied Scientist on instrumentation and with the founders on platform direction. Idea to production is days. Real Ownership: Genuine ownership in a small, technically deep team. Your name will be on the system. Foundational Space: The private knowledge layer will reshape how AI agents operate inside organizations; the engineering problems sit at the edge of what current agentic frameworks can do well. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

A dynamic tech startup in London is seeking an early-career software developer to support the development of innovative industrial applications. The ideal candidate will hold a recent STEM degree and possess programming experience with languages like C# or Rust. Responsibilities include developing core product features, improving deployment processes, and contributing to technical documentation. The role offers a competitive salary range of £45,000 to £55,000, along with a hybrid working environment and employee stock options.

Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications. Must have: A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Programming experience with any of C#, Rust, or other typed languages; Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have: Understanding of software engineering best practices. Some exposure to applied experience, e.g., internships, research projects, or personal projects. Familiarity with DevOps tools like Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security; Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus: Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch); Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £45,000 to £55,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (60 mins) Online coding exercise (with a Quaisr team member on the call) covering basic software development concepts. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV (max 2 pages) to . Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.