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Lead Data Scientist

London (UK), Warsaw (Poland), remotely in EU
Job Requirements
  • BA/MS/PhD degree in Computer Science, Physics, Math or similar;
  • Strong mathematical background in Machine Learning and Deep Learning;
  • Over 5 years of work experience in Machine Learning;
  • Over 2 years of data science team leadership experience;
  • Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;
  • Solid understanding of anomaly detection and signals processing and analysis;
  • Excellent coding skills in Python;
  • Practical knowledge of ML/DL frameworks (Scikit, PyData stack, Tensorflow, PyTorch, etc.);
  • Familiar with concurrent programming;
  • Ability to postulate and verify research hypotheses, explain and present results.
What you will do
  • Develop innovative machine learning algorithms for analysis of time series, generated by industrial process;
  • Analyse algorithm performance bottlenecks and propose solutions for improvement and optimisation;
  • Prepare new algorithms for deployment and support deployment to production;
  • Monitor algorithms metrics, statistics and performance;
  • Work in a team and collaborate with other colleagues to contribute into common knowledge base;
  • Manage individual project priorities, deadlines and deliverables;
  • Mentor and navigate team members in terms of possible problem solutions while leaving the space for their own problem solving skills development and creativity;
  • Perform project planning and track the project progress, make sure that all the deliverables are finished within deadlines and at the highest quality;
  • Be proactive on possible improvements of the overall team performance and seek for tight collaboration with other teams within the company who work on similar projects.

Data Scientist (Time series analysis)

London (UK), Warsaw (Poland), remotely in EU
Job Requirements
  • BA/MS/PhD degree in Computer Science, Physics, Math or similar;
  • Strong mathematical background in Machine Learning and Deep Learning;
  • Over 3 years of work experience in Machine Learning (time series);
  • Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;
  • Solid understanding of anomaly detection and signals processing and analysis;
  • Excellent coding skills in Python;
  • Practical knowledge of ML/DL frameworks (Scikit, PyData stack, Tensorflow, PyTorch, etc.);
  • Ability to postulate and verify research hypotheses, explain and present results.
What you will do
  • Develop complex algorithms for industrial processes optimisation based on machine learning methods using data from real equipment;
  • Deep dive into the domain of industrial processes by studying theory with the world's leading experts;
  • Develop models using highly complex methods based on maths modelings of physical processes;
  • Analyse algorithm performance bottlenecks and propose solutions for improvement, retrofitting, and optimisation;
  • Closely work with client representatives, visit production facilities, and take an active part in business processes;
  • Prepare new algorithms for deployment and support deployment to production;
  • Monitor algorithms metrics, statistics, and performance;
  • Work in a team and collaborate with other colleagues to contribute to a common knowledge base.

Lead automated QA engineer

London (UK), Warsaw (Poland), remotely in EU
Job Requirements
  • 3+ years of experience in testing of web/server-side applications
  • Experience in setting up and improving QA team workflows
  • Clear understanding of client-server architecture and its testing principles;
  • Clear understanding of testing techniques and testing types;
  • Experienced in creating and maintaining test documentation (check-lists, test cases, bug tracking system, etc.);
  • Proficiency with any test framework, especially written in JavaScript/TypeScript/Python;
  • Experience in writing automation scripts;
  • Ability to find bugs and attentiveness to details;
  • Experienced with developer tools for investigating browser problems;
  • Experience in API testing (Postman, Swagger, Fiddler);
  • Ability to work in a team and together with another QA engineer,
  • Good analytical skills, responsibility, self-organisation, attentiveness, and good learning skills;
  • English – upper-intermediate/advanced.
What you will do
  • Participate in the development and support of the automation test platform;
  • Communication with BA, PO, Account/Setup managers, internal development teams regarding requirements clarifications and quality expectations;
  • Defect reporting: report and re-test defects according to generally accepted best practices and internal policies;
  • Test Activities Planning: active participation in refinement and planning sessions, providing
  • valuable feedback and accurate estimates for testing tasks;
  • QA internal knowledge base updating;
  • Participate in Scrum activities;
  • Research and develop new QA technologies and tools.

Angular Frontend developer

London (UK), Warsaw (Poland), remotely in EU
Job Requirements
  • Excellent Typescript programming skills (2+ years of experience);
  • Architecture skills, understanding of patterns;
  • Practical skills with Angular 8+ (not AngularJS);
  • Experience with RxJS;
  • Practical skills with CSS;
  • Understanding of software development life cycle and methodologies;
  • English – upper-intermediate/advanced.
What you will do
  • Design, develop, test, deploy, maintain and improve software based on latest Angular;
  • Development process improvements to make
the team more efficient;
  • Drive adoption of best practices in service health, testing, and maintainability.

Fullstack Developer

London (UK), Warsaw (Poland), remotely in EU
Job Requirements
  • Solid Python skills, application focused rather than data engineering;
  • Solid experience of working with relational databases (PostgreSQL, MySQL, Oracle);
  • Practical skills with Frontend (Angular/React/Vue);
  • Practical Java programming skills;
  • Docker experience.
What you will do
  • Develop, test, deploy, maintain and improve software (domain model, web services, integration with 3rd party services) written in Python 3 and Java 11;
  • Interact with stakeholders including client-facing and Data-science teams to gather and analyse requirements for new features, then design and implement them;
  • Drive adoption of best practices in code health, testing, and maintainability;
  • Provide guidance and custom configurations for client-facing team installations.

Python ML Engineer

London (UK), Warsaw (Poland), remotely in EU
Job Requirements
  • Excellent Python programming skills (2+ years of experience);
  • Practical skills with data science libraries like NumPy, Pandas, Scikit-learn;
  • Solid experience of work with relational and noSQL databases (PostgreSQL, Clickhouse, Redis);
  • Understanding of computer science algorithms and data structures;
  • Understanding of software development life cycle and methodologies;
  • Development skills on a Unix or Linux platform (including networks);
  • Microservices development skills;
  • English – upper-intermediate/advanced.
What you will do
  • Design, develop, test, deploy, maintain and improve software (web services, data processing pipelines, etc.) in Python;
  • Participation in the development process improvement by doing internal development tasks that make our teams more efficient;
  • Drive adoption of best practices in code health, testing, and maintainability.

Delivery manager

London (UK), Warsaw (Poland), remotely in EU
Job Requirements
  • 3+ years experience working as a Project / Delivery Manager within agile software development teams;
  • University degree (Bachelor / Master), preferably with a technical major;
  • Good resource planning skills;
  • Good understanding of software development life cycle and methodologies;
  • Ability to prioritise multiple tasks and demonstrate commitment to meet deadlines;
  • High working capacity, attention to details;.
  • A proactive attitude;
  • Excellent verbal and written communication skills;
  • Business travel up to 40% of work time (depending on the stage of the project).
What you will do
  • Set project goals and come up with plans to meet those goals, in coordination with the Customer and internal development / deployment teams;
  • Maintain project timeframes, plan budget / resources;
  • Deploy and manage project resources (DS, IT deploy, Software Support, etc.);
  • Coordinate project team members and other resources in order to deliver projects on schedule and within budget;
  • Use project management tools to track project performance and schedule adherence;
  • Be the central communication point for the team, management, and customer employees on the project, this includes expectation management;
  • Conduct risk assessments for projects;
  • Organise internal and external meetings to track project progress;
  • Produce relevant materials/ reports;
  • Evaluate team performance, provide timely feedback & assistance to project team members.

Chief of Staff (CoS)

London (UK), remotely in EU
  • BA/MS degree in Business Administration, Technical or similar field;
  • 4+ years in a business or executive management role;
  • Proven experience organising and directing multiple teams and departments, acting like a bridge in between;
  • Excellent communicator in written and verbal form;
  • Extremely versatile, dedicated to efficient productivity, detailed oriented;
  • Experience planning and leading strategic initiatives;
  • Experience with data analysis;
  • Experience with budget management;
  • Consulting experience with a focus on operations management;
  • Proven success in a project coordination role;
  • Nimble business mind with a focus on developing creative solutions;
  • Strong project reporting skills, with a focus on interdepartmental communication;
  • Presentation skills.
What you will do
  • Oversee strategic business initiatives from development through successful execution under the guidance of senior leadership and departmental heads;
  • Assist and communicate with executives in decision-making, program management, and initiative implementation;
  • Review, design and execute on improvements to org structure, find knowledge and skill gaps and help to address them;
  • Improve current processes and coordinate organisational procedures for optimised efficiency and productivity;
  • Serve as liaison between staff, executives, senior leaders, and CEO, regarding company climate, employee well-being, project updates, proposals, and planning;
  • Assist the human resources department with new hires, including documentation and onboarding processes;
  • Build and develop relationships with all employees for increased efficiency and effective responsiveness into existing operations, and help to define new operational strategies, working with CEO and executives on special projects;
  • Serve as a subject matter expert, handling inquiries and developing action plans to address them, and assisting with the preparation and dissemination of communications.
Job Requirements

Sales Manager

London (UK), remotely in EU
Job Requirements
  • 3+ years of experience in B2B sales in IT;
  • Bachelor's / Master's degree in Business, Marketing, Communications or Computer Science;
  • Strong verbal and written communication skills;
  • Excellent leadership skills;
  • Results-oriented with strong analytical skills;
  • English – Advanced.
What you will do
  • Develop sales strategy (industries, geography, target customer profile, success metrics, pricing policy);
  • Generate leads, run negotiations, formulate and “sell” business cases, close deals;
  • Develop marketing materials and organise marketing events (presentations, product demonstrations, meetings, etc.);
  • Engage internal resources, including technical and admin staff;
  • Manage Key Accounts including Customer success;
  • Build market and competitor intelligence;
  • Develop external network and support corporate PR activities (publications, events);
  • Plan sales activities, execute and report results.
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