Crane Venture Partners

Location London, UK Employment Type Full time Location Type On-site Department R&D 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: As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional time series datasets collected by our next generation neural sensor in both clinical trial and in house experimental settings. You will play a key role in interpreting physiological and optical signals to derive actionable insights that inform product development and clinical decision making. Working closely with clinicians, neurophysiologists, physicists, and engineers, you will help lead algorithm and ML model development to extract meaningful metrics of brain function, improve signal quality through advanced denoising and demixing techniques, and validate signal fidelity in real world use. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work from home day. Responsibilities: Lead the development and delivery of novel signal processing and machine learning models to interpret physiological signals, e.g. time series regression, classification and outliers detection Lead exploratory data analysis on complex time series datasets generated from clinical trials, internal studies, and external research databases Design and validate algorithms for denoising, signal demixing, and interpretation of neuromonitoring data Write high quality, well tested Python code that meets industry standards Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows Deliver signal processing methodologies ready for translation into medical device products Produce clear and insightful white papers, documentation, and visualisations for both technical and non technical stakeholders Participate in research planning by gathering requirements, scoping work items, and contributing to roadmap discussions Skills & Experience: Proven track record in applying machine learning / deep learning techniques for time series, physiological signals or continuous sensor data A deep understanding of digital signal processing concepts such as sampling and quantisation, spectral analysis, etc Fluent in Python and expert in industry standard tools for version control, data engineering, CI/CD and reproducible research workflows Comfortable working in a fast paced, research driven environment with a strong sense of ownership and a willingness to learn and experiment Excellent written and verbal communication skills for conveying complex results clearly to technical and non technical stakeholders Nice to Have Experience with signal analysis and pipeline design for time series data in the context of wearable or medical products Hands on experience in software engineering Familiarity with regulated development processes (e.g. SaMD) Strong understanding of neurological and cardiovascular signals Strong background in biostatistics Strong understanding of the physical principles associated with optical spectroscopy, interferometry, and related techniques 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 4 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 Free lunch twice per week via JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and a comprehensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores Access to Udemy for upskilling and professional development

A leading venture capital firm in the UK is seeking a Staff AI Engineer to lead architectural decisions for data platforms and LLM-powered products. This role requires over 8 years of experience in full-stack systems, particularly with Python and data modeling. The successful candidate will translate business objectives into scalable solutions while mentoring junior engineers. Competitive salary, equity, and a flexible work environment in a start-up setting make this a unique opportunity for impact in AI technologies.

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 a DevOps/Site Reliability Engineer with experience managing complex infrastructure and deploying scalable, reliable systems. You are passionate about automation, cloud technologies, and continuous improvement. Must have: Proven track record of managing cloud-based infrastructure (AWS, Azure, or GCP). Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation. Strong CI/CD pipeline design experience using tools like Jenkins, GitHub Actions, or GitLab CI. Proficiency in scripting languages such as Bash, Python, or Go. Experience with container orchestration tools such as Kubernetes, Docker Swarm, or HashiCorp Nomad. Excellent problem-solving, communication, and collaboration skills. Nice to have: Experience managing distributed systems, microservices, and event-driven architectures. Knowledge of observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. Experience with security best practices, monitoring, and incident response. Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR). Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: 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 Platform Operations (40%): Support the lifecycle of platform deployment, including provisioning, updating, monitoring, and scaling cloud infrastructure. Automation & Tooling (40%): Design and implement CI/CD pipelines, deployment automation, and system monitoring solutions. Technical Leadership & Documentation (20%): Create and maintain infrastructure documentation, contribute to technical blog posts, and mentor junior engineers. What we offer Salary range of £50,000 to £85,000 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! (45 mins) Online coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation. (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 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.

About the Position As a Senior Full-Stack Engineer, you'll spearhead the development of LLM powered products at the forefront of marketing and advertising technologies. Utilizing your expertise in systems architecture and building web applications full stack, you'll play a pivotal role in designing, implementing, and enhancing our range of AI driven solutions. You'll hold direct responsibility for large components of our web application, collaborating closely with cross functional teams, including AI engineers, product managers, and designers, to deliver robust and innovative solutions that drive tangible business outcomes. This role presents an exciting opportunity to shape the future of AI driven technologies and make meaningful contributions to real world applications. The role is linked with our office in London, but we are flexible about hybrid or remote work in Europe. What You'll Be Doing Lead the architecture design and the implementation of scalable and secure web applications. Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability. Conduct code reviews and ensure adherence to best practices and coding standards. Collaborate closely with cross functional teams, including AI engineers, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation. Stay current with emerging technologies and industry trends and evaluate their potential impact on the business. Qualifications 5+ years of experience in full stack web development. Proven experience with Typescript and React, and building full stack applications with these technologies. Familiarity and experience with the latest advancements in the React ecosystem. Extensive experience with system design and data modeling. Strong analytical and problem solving abilities. Excellent communication skills, with the ability to explain complex technical concepts to non technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team. What We Offer A dynamic role at the forefront of AI marketing technology with ample opportunities for personal and professional growth. Unique opportunity to join on the ground floor of a fast moving startup building at the center of AI. Tackle challenging problems while disrupting the $300BN legacy martech industry. Join an experienced team where you will have immediate ownership and impact. Competitive salary and bonus appropriate for experience and company stage. Significant equity package appropriate for company stage. Full medical, dental and vision benefits. PTO and remote work flexibility. About Bluefish Bluefish believes that AI represents the next major chapter of the internet - and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers - and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage how their brand is represented in AI. The Bluefish team is a tight knit group of martech industry veterans who previously helped build foundational ad tech platforms now owned by Meta and Microsoft. The company is backed by leading AI and data focused investors, including Crane Ventures, Swift Ventures, BloombergBeta, Firebolt Ventures, and Laconia Capital. We are a globally distributed team, with business operations based in New York City and engineering based in Europe.

About the Position As a Staff AI Engineer, you'll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You'll own critical architectural decisions, set quality bars, and lead multi team initiatives that drive measurable outcomes. As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You'll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You'll raise the bar for data literacy across the department, craft and collaboration. You'll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with AI engineers, product, design, and devops to deliver outcomes our customers can trust. This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications. The role is linked with our location in London, but we are flexible about hybrid or remote work in the United Kingdom. What You'll Be Doing Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost. Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production. Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team. Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization. Up level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing. Startup ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over engineering. Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation. Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk. Qualifications 8+ years building and operating production full stack systems, including leading large scale architectural changes or platform initiatives. Deep experience Python and modern service architectures; strong system design and data modeling fundamentals. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure. Fluency in operational maturity: SLOs, on call/incident practices, and observability. Strong analytical and problem-solving abilities with a bias towards action and outcomes. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team. What We Offer A dynamic role at the forefront of AI marketing technology with ample opportunities for personal and professional growth. Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI. Tackle challenging problems while disrupting the $300BN legacy martech industry. Join an experienced team where you will have immediate ownership and impact. Competitive salary and bonus appropriate for experience and company stage. Significant equity package appropriate for company stage. Wework co-working day passes. PTO and remote work flexibility. About Bluefish Bluefish believes that AI represents the next major chapter of the internet - and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers - and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage how their brand is represented in AI. The Bluefish team is a tight knit group of martech industry veterans who previously helped build foundational ad tech platforms now owned by Meta and Microsoft. The company is backed by leading AI and data focused investors, including Crane Ventures, Swift Ventures, BloombergBeta, Firebolt Ventures, and Laconia Capital. We are a globally distributed team, with business operations based in New York City and engineering based in Europe.

A cutting-edge tech firm in the United Kingdom is looking for a Senior Full-Stack Engineer to lead the development of LLM-powered products in marketing technology. This role involves designing scalable web applications, collaborating with AI engineers and product managers, and mentoring junior staff. The ideal candidate has over 5 years of experience in full-stack web development, particularly with Typescript and React. The position offers competitive compensation, equity, and flexibility for remote work.

A leading technology company in London is looking for a Senior ML Engineer/Senior Data Scientist to join their innovative team focusing on non-invasive neuromonitoring technology. In this role, you will analyze complex datasets and develop machine learning models to interpret physiological signals. Ideal candidates will have a strong background in data science, excellent communication skills, and a proven track record in machine learning. The company offers competitive benefits, including equity and unlimited holiday allowance.

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 a recent PhD graduate, or about to graduate, in a STEM field with a keen interest in generating real-world impact with industrial applications. Must have: Relevant PhD 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 written-communication skills. Exposure to data-science tooling, e.g. Python, R, Julia. Eligibility to work in the UK. Nice to have: Previous applied experience, e.g. internships or research projects, with industry or in technology startups. Understanding of manufacturing, process engineering or mechanical engineering fundamentals, e.g. optimisation, uncertainty quantification, or sensitivity analysis. Existing interest in any of analysis automation, high-performance computing (HPC), cloud computing, Linux command-line tools, or bash scripting. Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Bonus: Existing interest in standard machine learning and deep-learning packages (e.g., scikit-learn, Keras, PyTorch). Exposure to commercial engineering tools or optimisation packages (e.g., Dassault Systèmes, Siemens, ANSYS, Aspen), open-source optimisation tools used in industry and academia. 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 public holidays. What you will do You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Devise, plan, implement and deploy industrial use cases - identifying steps to address customer feedback and requirements by supporting the applications, user interface and systems teams to ensure that we are consistently addressing customer problems with compelling solutions. (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. (20%) Support the sales and customer success processes through hands-on contributions, and communicate examples to both existing and prospective customers. What we offer Salary range of £60,000 to £85,000 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! (45 mins) Online coding exercise (with a Quaisr team member on the call) covering basic concepts (whichever language you are most comfortable in). (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.

About the Position As a Senior AI Engineer, you'll spearhead the development of LLM-powered products at the forefront of marketing and advertising technologies. Utilizing your expertise in machine learning, large language models, and natural language processing, you'll play a pivotal role in designing, implementing, and enhancing our range of AI-driven solutions. You'll hold direct responsibility for the LLM technology stack central to our product suite, collaborating closely with cross functional teams, including application engineers, product managers, and designers, to deliver robust and innovative solutions that drive tangible business outcomes. This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications. The role is linked with our office in London, but we are flexible about hybrid or remote work in the UK. What You'll Be Doing Lead the development, training, and fine tuning of large language models and LLM driven solutions to tackle intricate NLP tasks. Implement and refine a robust, scalable architecture in production environments to ensure optimal performance. Evaluate and enhance the performance of existing models to uphold the highest standards of accuracy, efficiency, and reliability. Proactively address challenges concerning data quality, bias mitigation, and model interpretability. Keep abreast of the latest advancements in NLP and AI research, conduct experiments, and prototype new ideas to push the boundaries of LLM capabilities. Collaborate closely with cross functional teams, including software engineers and product managers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation. Continuously assess and integrate emerging technologies and best practices to enhance the effectiveness and efficiency of LLM based solutions. Qualifications Previous experience in a similar role within the tech industry, with a deep understanding of the practical applications and challenges of deploying LLMs in real world scenarios. Strong theoretical and practical knowledge of machine learning and NLP. Extensive experience with training and deploying machine learning models, particularly withing the NLP/LLM domain. Proficiency in Python, ML frameworks and tools. Strong analytical and problem solving abilities. Experience with data preprocessing, feature engineering, and model evaluation techniques. Proven track record of driving innovation in AI and NLP projects. Ability to think outside the box and develop creative solutions to challenging problems. Excellent communication skills, with the ability to explain complex technical concepts to non technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team. What We Offer A dynamic role at the forefront of AI marketing technology with ample opportunities for personal and professional growth. Unique opportunity to join on the ground floor of a fast moving startup building at the center of AI. Tackle challenging problems while disrupting the $300BN legacy martech industry. Join an experienced team where you will have immediate ownership and impact. Competitive salary and bonus appropriate for experience and company stage. Significant equity package appropriate for company stage. Full medical, dental and vision benefits. PTO and remote work flexibility. About Bluefish Bluefish believes that AI represents the next major chapter of the internet - and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers - and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage how their brand is represented in AI. The Bluefish team is a tight knit group of martech industry veterans who previously helped build foundational ad tech platforms now owned by Meta and Microsoft. The company is backed by leading AI and data focused investors, including Crane Ventures, Swift Ventures, BloombergBeta, Firebolt Ventures, and Laconia Capital. We are a globally distributed team, with business operations based in New York City and engineering based in Europe.

A leading technology investor is seeking a Senior AI Engineer to drive the development of LLM-powered products in marketing and advertising. The role involves leading model training, collaborating with cross-functional teams, and enhancing existing technologies. Strong experience in machine learning and natural language processing is essential. Competitive salary, equity package, and flexible working options are offered.

A leading venture capital firm in the UK is seeking a Senior Full-Stack Engineer to develop LLM-powered products in marketing technology. You will lead the design and implementation of scalable web applications, ensuring collaboration with AI engineers and product managers. The role demands 5+ years in full-stack development, expertise in Typescript and React, and strong communication skills. This position offers competitive compensation and hybrid or remote work flexibility.

As a Senior Full-Stack Engineer, you'll spearhead the development of LLM-powered products at the forefront of marketing and advertising technologies. Utilizing your expertise in systems architecture and building web applications full-stack, you'll play a pivotal role in designing, implementing, and enhancing our range of AI-driven solutions. You'll hold direct responsibility for large components of our web application, collaborating closely with cross-functional teams, including AI engineers, product managers, and designers, to deliver robust and innovative solutions that drive tangible business outcomes. This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications. The role is linked with our office in London, but we are flexible about hybrid or remote work in the UK. What You'll Be Doing Lead the architecture design and the implementation of scalable and secure web applications. Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability. Conduct code reviews and ensure adherence to best practices and coding standards. Collaborate closely with cross-functional teams, including AI engineers, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation. Stay current with emerging technologies and industry trends and evaluate their potential impact on the business. Qualifications 5+ years of experience in full-stack web development. Proven experience with Typescript and React, and building full-stack applications with these technologies. Familiarity and experience with the latest advancements in the React ecosystem. Extensive experience with system design and data modeling. Strong analytical and problem solving abilities. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team. What We Offer A dynamic role at the forefront of AI marketing technology with ample opportunities for personal and professional growth. Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI. Tackle challenging problems while disrupting the $300BN legacy martech industry. Join an experienced team where you will have immediate ownership and impact. Competitive salary and bonus appropriate for experience and company stage. Significant equity package appropriate for company stage. Full medical, dental and vision benefits. PTO and remote work flexibility. About Bluefish Bluefish believes that AI represents the next major chapter of the internet - and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers - and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage how their brand is represented in AI. The Bluefish team is a tight-knit group of martech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. The company is backed by leading AI and data focused investors, including Crane Ventures, Swift Ventures, BloombergBeta, Firebolt Ventures, and Laconia Capital. We are a globally distributed team, with business operations based in New York City and engineering based in Europe.