Benefits:

• Competitive salary and equity package

• Comprehensive benefits including health, vision, and dental coverage

• High-ownership, high-velocity environment with rapid learning opportunities

• Chance to work on a profound technical problem that, if solved, will accelerate the future of technology development and civilization

Education Requirements:

• A Bachelor's degree in Computer Science, Software Engineering, or related field; advanced degree preferred

Experience Requirements:

• You are an exceptional researcher who has designed large-scale ML systems

• Experience building LLM applications and agentic LLM systems

• Familiarity with cloud computing platforms and distributed systems

• Have strong intuition about computer architecture to quickly understand chip design and verification tasks

• Strong communication abilities and experience working in cross-functional teams

Other Requirements:

• Strong proficiency in Python and AI/ML frameworks like PyTorch

Responsibilities:

• Design and implement core components of our AI-powered engineering systems

• Integrate classical algorithms and deep learning-based approaches across modalities

• Utilize our GPU clusters for efficient training, finetuning, and inference of AI models, ensuring optimal performance and scalability.

• Explore and implement efficient inference techniques to reduce computational costs and improve the speed of model predictions without compromising quality.

• Stay ahead of the curve in AI research, particularly in the areas of LLMs, to continually improve our technologies and methodologies.

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• IT & Cloud Security Governance – Managing security across Google Workspace, Microsoft 365, and SaaS platforms.

• Risk & Compliance Leadership – Ensuring alignment with ISO 27001, Cyber Essentials, and CIS 18.

• AI & Data Security – Driving best practices for AI-first security and compliance.

• Business-Focused Security Strategy – Supporting sales, contracts, and client security due diligence.

• Incident Response & Risk Management – Leading security response planning and mitigation strategies. Collaboration & Stakeholder Engagement – Partnering with engineering, product, and leadership teams to drive security initiatives.

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• Design and develop scalable AI architecture, including LLM integration, APIs, and agentic modules.

• Define the technical roadmap for AI systems, ensuring high availability, security, and performance.

• Collaborate with data scientists, ML engineers, and software engineers to optimise model deployment and infrastructure.

• Establish best practices for AI/ML pipelines, including data ingestion, model training, and inference.

• Research and integrate emerging AI technologies, frameworks, and methodologies. Ensure compliance with regulatory and ethical AI standards.

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• Lead the development and delivery of AI agent modules, ensuring high-quality and business-aligned solutions.

• Act as the primary technical interface for senior business stakeholders, translating business needs into technical requirements.

• Manage and mentor a team of AI/ML engineers, fostering innovation and best engineering practices.

• Architect and implement scalable AI agent systems leveraging LLMs, RAG, reinforcement learning, and autonomous decision-making.

• Ensure seamless integration of AI agents with enterprise applications and existing tech stacks. Drive experimentation, rapid prototyping, and iterative development of AI-driven solutions.

Benefits:

• £85,000 base salary plus uncapped commission (£170,000 total OTE) - your success is rewarded, and our compensation plans are great!

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• You will be responsible for the entire sales cycle; from outbound prospecting, to qualifying opportunities, delivering amazing product demos, running trials and converting deals

• Working to achieve (and overachieve!) both new business and account growth revenue targets; your focus is to secure new enterprise customers while expanding relationships with existing accounts.

• Engaging with senior decision-makers – work with C-level executives, risk, compliance, and technology leaders to position Aveni’s AI platform as a strategic asset.

• Working side by side with our Marketing, Customer Success and Product teams to make sure the prospects and customers in your portfolio adopt and grow with Aveni

• Spearheading market expansion by entering new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge Becoming an AI expert – developing deep knowledge of AI applications in Financial Services to provide thought leadership and value to prospects and customers. Travelling (mostly within the UK) - whilst we work remotely, we strive to meet our prospects and customers face-to-face, plus we regularly sponsor and attend industry events

Benefits:

• equity in a fast-moving, profitable startup

• Competitive compensation

• The company is already profitable

• CMU startup in close proximity to CMU

Education Requirements:

• PhD

Other Requirements:

• US citizenship, and eligibility to obtain TS/SAP clearance

• Desire to work with the world's leading experts in a fast-moving environment

Benefits:

• equity in a fast-moving, profitable startup

• Competitive compensation

• The company is already profitable

• CMU startup in close proximity to CMU

Education Requirements:

• MS or BS

Other Requirements:

• US citizenship, and eligibility to obtain TS/SAP clearance

• Desire to work with the world's leading experts in a fast-moving environment

Experience Requirements:

• 10+ years of experience in java Web applications

• 5+ years of experience in architecting Java application

Responsibilities:

• Consult management team to clarify objectives and functional requirements of products.

• Work with domain, product management and product engineering teams in the solution engineering efforts.

• Work with pre-sales and product management teams in solution demonstrations.

• Maintain product roadmap and architectural standards that assure product development projects optimally align with business objectives.

• Contribute in development and Assist technical team with issues needing technical expertise or complex systems knowledge.

Experience Requirements:

• Minimum 4 + years of Experience

Responsibilities:

• Full stack developer for product using Java-script, Java, and Angular framework.

• Research and implement solutions for product requirements.

• Collaborate with internal and external teams across different locations

Benefits:

• Stock options

• An opportunity to grow with a company that values innovation and user-centric design.

• Generous vacation policy to ensure work-life harmony and well-being.

• Contribute to a company with a global impact based in the US, Canada, and Europe.

Experience Requirements:

• 4+ years of experience in product marketing

• Strong understanding of marcomm principles and experience in crafting integrated marketing campaigns.

• Excellent communication and presentation skills with the ability to influence cross-functional teams.

• Proven ability to manage multiple projects simultaneously in a fast-paced environment.

• Analytical mindset with experience in data-driven decision making and measuring campaign effectiveness.

Responsibilities:

• Develop and execute product positioning and messaging that resonates with our target audiences.

• Lead go-to-market strategies for new product launches and updates, ensuring alignment with overall company objectives.

• Collaborate with product management, sales, and customer success teams to understand product features and customer pain points.

• Conduct competitive analysis and customer research to inform marketing strategies.

• Track and report on product performance metrics, ensuring constant feedback loops with key stakeholders.

Education Requirements:

• BSc / Master's degree in computer science, Electrical Engineering, Robotics, or a related field.

Responsibilities:

• Fuse data from various sensors such as lidar, radar, cameras, GPS and IMUs to enable robust mapping and localization capabilities.

• Mapping System Optimization: Improve the efficiency, accuracy, and robustness of mapping systems through algorithmic optimizations, data processing techniques, and sensor calibration.

• Localisation System Development: Implement algorithms and techniques to enable accurate localization of objects or vehicles in real-time scenarios, considering factors like occlusions, dynamic environments, and sensor noise.

Education Requirements:

• BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation

Experience Requirements:

• 2+ years’ experience in the field.

Responsibilities:

• Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions

• Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems

• PLC programming for embedded logic programming

Education Requirements:

• BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation

Experience Requirements:

• 2+ years’ experience in the field.

Responsibilities:

• Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions

• Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems

• PLC programming for embedded logic programming

Experience Requirements:

• Minimum 1 year experience working fulltime in a software development team

Responsibilities:

• Maintain our code base

• Integrate software components into a fully functional software system

• Develop software verification plans and quality assurance procedures

• Document and maintain software functionality

• Troubleshoot, debug and upgrade existing systems

Experience Requirements:

• 3+ years' experience within Senior / Lead position.

Responsibilities:

• Perform project requirement analysis, planning, designing, and deployment management of automation projects.

• Perform regular review of project execution plans, resource plans, and team performance.

• CProject data governance using appropriate tools to ensure full documentation of the project execution stages.

• Be adaptive and agile in project execution.

Education Requirements:

• Masters / PhD level qualification

Responsibilities:

• Research, develop / refine navigation algorithms which include behaviour modelling, motion planning and control for different mobility platforms (from a small humanoid robot to trucks with trailers).

• Develop simulation environment and test the models developed.

• Performing real-world experiments ensuring the developed model meets the requirements.

Education Requirements:

• BSc/MSc degree in computer science/Engineering/Robotics

Experience Requirements:

• 3+ years' experience within technical lead roles

Responsibilities:

• Understand the details of the project requirements, use cases and user scenarios

• Design testing and commissioning documents based on operation environment use cases for efficient project deployment

• Ensure projects are delivered on time, within scope by working closely with wider team following project deployment strategy / road map

• Continuous QA of executed tasks, ensuring technical deployment meets industry standards

Education Requirements:

• BSc/MSc degree in computer science/Engineering/Robotics

Experience Requirements:

• 3+ years' experience within technical lead roles

Responsibilities:

• Understand the details of the project requirements, use cases and user scenarios

• Design testing and commissioning documents based on operation environment use cases for efficient project deployment

• Ensure projects are delivered on time, within scope by working closely with wider team following project deployment strategy / road map } Continuous QA of executed tasks, ensuring technical deployment meets industry standards

Education Requirements:

• ITE/Diploma level qualification in Robotics/ Computing/ electrical/mechanical or any other related subject

Experience Requirements:

• 1+ years proven professional hands-on experience.

Responsibilities:

• Support team lead with integration, calibration, and verification test

• Perform continues tests / data collection as per test plans.

• Monitor system behavior during tests and recording observations and issues.

• Perform trouble shooting and root cause analysis for observation

Education Requirements:

• ITE/Diploma level qualification in Robotics/ Computing/ electrical/mechanical or any other related subject

Experience Requirements:

• 1+ years proven professional hands-on experience.

Responsibilities:

• Support team lead with integration, calibration, and verification test

• Perform continues tests / data collection as per test plans.

• Monitor system behavior during tests and recording observations and issues.

• Perform trouble shooting and root cause analysis for observation