Benefits:

• Competitive compensation packages

• Stock options

• 401(k) plans with a match

• Vacation days

• Sick days Volunteer time off Paid parental leaveMedical, Dental, Vision, FSA plansEmployee Assistance Programs, Teladoc, TalkSpace therapy, Peloton

Education Requirements:

• Related degree types (not required) or equivalent experiences well-suited for this role: English, History, Psychology, Sociology, Liberal Arts, Library Sciences, Criminal Justice, etc. (anything that involves intensive research and writing)

Experience Requirements:

• 1-3 years of experience as a researcher in executive search, due diligence, or related industries, preferred

Other Requirements:

• Research skills with strong writing disciplines such as analyzing data and literature, problem-solving, and the ability to provide results of an investigation search in written summaries

• Strong multitasker, effective and efficient communicator with team members, and attention to detail oriented

• Flourishes in fast-paced production environments with metrics, standardized processes, and quality assurance deliverables

Responsibilities:

• Collaborate with a team of researchers for both individual and joint report fulfillment, including: Comprehensive search and analysis of news and litigation content Executive summarization of relevant news and litigation content Be in tune with operations production schedules and deliver customized reports

Education Requirements:

• Degree in Computer Science, Engineering or a related field

Other Requirements:

• Prior experience as a Python Developer

• Good knowledge of Django, Flask or similar Python frameworks

• Familiarity with front-end technologies (JavaScript, HTML5, CSS3)

• Knowledge of ORM

• Familiarity with various testing tools

Responsibilities:

• Write effective and scalable Python codes

• Design and implement robust applications

• Debug applications

• Integrate user-facing elements with server-side logic

• Implement security and data protection

Other Requirements:

• Adaptability

Responsibilities:

• General Adjutant

Experience Requirements:

• Experience as a musician

Other Requirements:

• Passion for music

• Understanding of Swift/UIKit or Rails

Responsibilities:

• Developing and improving the Tape It app

• Working on backend and frontend development

Benefits:

• Competitive salary and compensation package

• Generous vacation policy

• Hybrid working environment – home and client site

• Dynamic work environment with exposure to cutting-edge AI and computer vision technologies

Education Requirements:

• Bachelor’s degree in Engineering, Computer Science, or a related technical field

Experience Requirements:

• At least 3 years of relevant job experience, specifically with the integration of manufacturing camera devices, vision AI, or computer vision technologies

• Hands-on experience in an on-site manufacturing or factory setting, with a proven track record of successful technology implementation

Other Requirements:

• Strong problem-solving skills and the ability to work independently under tight deadlines

• Excellent communication skills for interacting effectively with clients and team members

• Familiarity with programming and system configuration

• Willingness to drive and work at various client locations as needed

Responsibilities:

• Integrating and deploying our AI and computer vision technologies within manufacturing factory environments

• Working on-site with our industrial clients to ensure the successful implementation and optimization of our vision AI solutions

• Setting up systems, troubleshooting issues, and training client staff on new technologies

Benefits:

• Competitive salary and compensation package

• Generous vacation policy

• Hybrid working environment – home and client site

• Significant growth opportunities within an early-stage startup

Education Requirements:

• Master’s degree in Engineering, Computer Science, or a related technical field

Experience Requirements:

• 3+ years of experience in deploying machine learning models in field environments, preferably within manufacturing and/or automotive sectors

Other Requirements:

• Programming skills in Python and familiarity with cloud-based and edge computing environments

• Proficient in machine learning frameworks like TensorFlow or PyTorch

• Experience with real-time system monitoring and model performance tuning

• Independent work style coupled with the ability to communicate complex data and methods effectively across different teams

• Working knowledge within AWS, GCP & Azure cloud environments

• Willingness to drive and work at various client locations as needed

• Familiarity with few shot learning and transfer learning techniques as well as model optimization

Responsibilities:

• Deploying, monitoring, and maintaining machine learning models and image gathering hardware directly in operational environments

• Working directly with our Engineering team, refining models based on real-time data and customer feedback

• Ensuring optimal performance and scalability of AI models in field settings

Benefits:

• Uncapped commission earning potential based on company performance.

• Remote working (with the option of working in our office space in the Manchester).

• Private Vitality medical insurance.

• Private Pension with company contributions (up to 3% matched by us).

• 28 days holiday plus 8 UK bank holidays. Favourable paternity/maternity leave. Additional day of holiday to utilise for charity or volunteering Give As You Earn scheme to a charity of your choice. Excellent opportunity for career progression

Experience Requirements:

• strong background in ETL/maintaining data pipelines

• comfortable with reading code to identify fixes and making changes

• experience with manipulating audio files

• exposure to transforming call centre data

Responsibilities:

• Maintain build schedules so that pipelines run

• Respond, Triage, and debug the pipeline when it is broken

• Be part of a team responsible for deploying new features to the product platform

• Reading code and writing code changes and/or modifying the monitoring set-up where necessary

• Work with client teams to understand data transformations required

Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Benefits:

• Base salary + commission plan (50-50 OTE split)

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

• 10 Paid Holidays

Experience Requirements:

• 3+ years of experience as an account executive in SaaS sales

• experience navigating six to seven figure ACV sales processes with large, complex customer prospects

• experience working in early-stage startups and are comfortable navigating ambiguity

Other Requirements:

• entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment

• top performer in your current role, with strong communication skills and a consultative sales approach

• technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation

• team-first mindset and are eager to help others succeed while simultaneously driving your own results

Responsibilities:

• Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals

• Work both inbound leads generated by the SDR team and self-sourced opportunities

• Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved

• Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting

• Achieve and exceed ambitious monthly quotas, demonstrating consistent performance

Benefits:

• Work from home after 6 months

• Use cutting edge technology

• Attend Conferences

• Work in a high performance environment

• Team lunches and events

Experience Requirements:

• Bash scripting and ssh

• Setting up nginx and supervisord

• Knowledge of at least one of: python, C++, golang, java

Responsibilities:

• Using cutting edge open source technology to create web applications

• Building backends for web applications

• Working with REST and Websocket protocols

Benefits:

• Work from home after 6 months

• Use cutting edge technology

• Attend Conferences

• Work in a high performance environment

• Team lunches and events

Experience Requirements:

• Experience building apps using Javascript frameworks (Angular2, React, Backbone for Front End)

• Bash scripting and setting up servers (nginx, supervisord for Back End)

Responsibilities:

• Using cutting edge open source technology to create web applications

• Experimenting with new front end technologies and frameworks

• Building backends for web applications

• Working with REST and Websocket protocols

Benefits:

• Remote work options

• Hybrid work options

• Learning development opportunities

• Unlimited annual leave

Education Requirements:

• Engineering, mathematics, computer science, or any other STEM related degree (Honours level)

• Graduated with distinction

• Masters degree is advantageous

Experience Requirements:

• 3+ year experience in a client facing role presenting analytics to business teams

• 3+ year experience performing analytics, generating findings and implementing improvements

Responsibilities:

• Working with data engineering and data science teams on technical and strategic planning and execution of department goals

• Perform detailed analysis on microfinance data for the generation of business level recommendations

• Presentation of analysis and recommendations to executive teams

• Implementation of recommendations and evaluation of their performance

• Designing, building and deployment of machine learning models and statistical optimizations in the financial industry

Benefits:

• Remote work options

• Hybrid work options

• Learning development opportunities

• Unlimited annual leave

Education Requirements:

• Engineering, mathematics, computer science, or any other STEM related degree (Honours level)

• Graduated with distinction

• Masters degree is advantageous

Experience Requirements:

• 1+ year experience in a client facing role presenting analytics to business teams

• 1+ year experience performing analytics, generating findings and implementing improvements

Responsibilities:

• Working with data engineering and data science teams on technical and strategic planning and execution of department goals

• Perform detailed analysis on microfinance data for the generation of business level recommendations

• Presentation of analysis and recommendations to executive teams

• Implementation of recommendations and evaluation of their performance

• Designing, building and deployment of machine learning models and statistical optimisations in the financial industry

Benefits:

• Opportunity to work with world-class leadership in a fast-growing, successful startup company

• Competitive compensation package consisting of base salary and commissions-based target incentive

• Great Benefits including Medical, Dental and Vision insurance, 401(k), FSA

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 3-5+ years of previous of Enterprise sales experience or similar role

• 1-2+ years selling AP Automation or P2P (procure-to-pay) process

• Experience selling SaaS to C-level executives, preferably in finance

• Proven track record of managing and selling into Fortune 1000 accounts

• Proven experience meeting and exceeding sales quotas

Responsibilities:

• Maintain a pipeline 4x of quota

• Manage the entire sales cycle from prospecting, discovery, to closing

• Present AppZen solutions to C-level executives and stakeholders

• Navigate complex decision-making processes and evaluations

• Co-sell with partners and resellers

Benefits:

• Competitive salary

• 25 days holiday rising to 30 with service

• Equity option scheme

• Hybrid working

• Cycle to Work Scheme

Education Requirements:

• A degree in computer science, mathematics, or a science related subject

Experience Requirements:

• At least 3 years of experience writing and deploying production-grade Python

• Experience managing and mentoring software engineers

Other Requirements:

• Able to commute to our central Manchester office 3 days per week

• UK citizen

Responsibilities:

• Being hands-on with the technical delivery of the project

• Working directly with clients to understand their needs and recommend appropriate solutions

• Owning the delivery of client projects, from discovery to completion and handover

• Leading sprint planning sessions, retrospectives and code reviews

• Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology, architecture, and implementation details

Benefits:

• Competitive salary

• Annual profit share scheme

• Opportunity for share ownership scheme

• Hardware budget for all employees, computer equipment for you to keep

• Private healthcare cover

Education Requirements:

• A degree in computer science, mathematics, or a science related subject

Experience Requirements:

• At least 3 years of experience writing and deploying production-grade Python

• Experience managing and mentoring software engineers

Other Requirements:

• Able to commute to our central Manchester office 3 days per week

• UK citizen

• Due to the sensitive nature of some projects, you will be expected to undergo UK government security clearance after you start (at SC level)

Responsibilities:

• Working directly with clients to understand their needs and recommend appropriate solutions

• Owning the delivery of key features (planning, architecting, coding, delegating)

• Ensuring our high engineering standards are maintained and our clients are delighted

• Helping to run sprint planning sessions, retrospectives and code reviews

• Staying up-to-date with a fast-moving industry, embracing new tools and frameworks

Benefits:

• Maximized benefits

• Competitive Pay

• Paid Time Off

• Opportunity to work with a global team and clientele

• Opportunity to potentially work in the United States headquarters

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• 3-5 years of hands-on experience in developing and deploying machine learning solutions

Other Requirements:

• Proficiency in Python and extensive experience with popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn

• Demonstrated expertise in data pre-processing, feature engineering, and model evaluation techniques

• Strong familiarity with deep learning frameworks and neural network architectures

• Exceptional programming skills in Python and a proven ability to solve complex problems

• Excellent communication skills and a collaborative mindset, with the ability to work effectively within a team

• Keen attention to detail and the capacity to work autonomously in a fast-paced environment

Responsibilities:

• Lead the development and implementation of machine learning models and algorithms in collaboration with the AI/ML team

• Drive data pre-processing, feature engineering, and model evaluation to ensure the accuracy and efficiency of solutions

• Conduct rigorous experiments, analyze results, and provide actionable insights to enhance model performance and effectiveness

• Optimize model performance with large-scale datasets, employing advanced techniques and methodologies

• Spearhead the integration of AI/ML models into our product ecosystem, seamlessly merging them into product features

Benefits:

• Maximized benefits

• Competitive Pay

• Paid Time Off

• Opportunity to work with a global team and clientele

• Opportunity to potentially work in the United States headquarters

Education Requirements:

• Bachelor’s degree in information technology, Computer Science, or related field

Experience Requirements:

• 3-5 years of proven experience as an Office 365 Administrator or similar role

Other Requirements:

• Strong understanding of Office 365 applications, services, and features

• Knowledge of IT security best practices and experience implementing security measures within Office 365

• Excellent troubleshooting and problem-solving skills

• Familiarity with PowerShell scripting for Office 365 administration is a plus

• Effective communication and interpersonal skills

Responsibilities:

• Manage and administer Office 365 applications, including Exchange Online, SharePoint, OneDrive, Teams, and other associated tools

• Implement and maintain user accounts, licenses, and security groups within the Office 365 environment

• Configure and manage mailboxes, distribution lists, and other mail-related components

• Facilitate the seamless integration and adoption of collaboration tools like Teams, ensuring efficient communication and collaboration within the organization

• Troubleshoot and resolve issues related to messaging, file sharing, and other collaboration features

Benefits:

• Maximized benefits

• Competitive Pay

• Paid Time Off

• Opportunity to work with a global team and clientele

• Opportunity to potentially work in the United States headquarters

Education Requirements:

• Bachelor’s degree in computer science, Information Technology, or a related field

Experience Requirements:

• 3-5 years of proven experience as an Office 365 Developer with expertise in Exchange server management, DLP solutions, and SDK usage

Other Requirements:

• Strong understanding of Office 365 applications, services, and development frameworks

• Proficient in PowerShell scripting for automation tasks

• Familiarity with security best practices and compliance standards in the Office 365 environment

• Effective communication and collaboration skills

Responsibilities:

• Design and develop custom solutions within the Office 365 environment, leveraging tools such as SharePoint Online, Power Platform, Microsoft Graph API, and Office SDK

• Create and customize SharePoint sites, lists, libraries, and workflows to meet business requirements

• Create, configure, and manage Exchange servers on-premises and in Azure

• Implement best practices for Exchange server administration, including monitoring, maintenance, and troubleshooting

• Build independent/stand-alone or Microsoft Office-specific Data Loss Prevention (DLP) solutions

Education Requirements:

• B.Sc. or higher in computer science or similar from a university

Experience Requirements:

• 5+ years of relevant experience

Other Requirements:

• Skilled at implementing scalable software through the use of design patterns in modern C++

• Highly proficient in C++ and software design

• Able to work across the software and system stack

• Able to perform fast prototyping, including hardware, software & apps

• Comfortable debugging complex systems

Responsibilities:

• Early design & architecture

• Component integration

• Bring-up

• Middleware/frameworks

• Algorithm integration System end-to-end integration Optimizations and all the way up to user applications Significant focus on system-level software