Benefits:

• social benefits

• Learning platforms

• Certifications

• End year's party

• Training

Experience Requirements:

• Experience in logistics processes: picking, packing and storage of merchandise

Other Requirements:

• Agile, dynamic, responsible person

• Ability to work in a team

• Availability to work overtime

• Ability to work rotating shifts

Responsibilities:

• Merchandise picking

• Merchandise packing

• Merchandise storage

• Achieve logistics objectives

Benefits:

• social benefits

• Learning platforms

• Certifications

• End year's party

• Training

Experience Requirements:

• Experience in programming languages such as JavaScript, PHP, C#

• Familiarity with development frameworks (Symfony, Laravel, ASP.NET Core)

• Knowledge of relational databases (MySQL, SQL Server)

• Experience in version control using GIT

Other Requirements:

• Write clean and efficient code

• Information security compliance

Responsibilities:

• Write clean and efficient code

• Refactor existing code

• Develop reusable components

• Ensure functioning of corporate information system

• Ensure compliance with information security regulations

Benefits:

• Hybrid flexibility

• Lead complex AI implementation projects

• Exposure to enterprise clients

• Predictable delivery ownership

• Support AI agent integration

Experience Requirements:

• Experience managing AI, cloud, or digital transformation projects

• Understanding of Azure, Power Platform, and Copilot

• Experience with agentic development workflows

• Knowledge of delivery governance

Other Requirements:

• Clear communication skills

• Structured planning ability

• Risk management skills

Responsibilities:

• Plan and manage project delivery across regions

• Coordinate low code and pro code teams

• Maintain timelines and budgets

• Enforce delivery governance and standards

• Support customer adoption and change management

Benefits:

• Join international talent pool

• Flexible hybrid model

• Human centric approach to AI

• Early access to new vacancies

• Exposure to fast growing AI company

Experience Requirements:

• Relevant experience in tech or marketing related areas

Other Requirements:

• Passionate about AI

Responsibilities:

• Submit profile for talent pool review

• Maintain active details in the recruitment system

Benefits:

• Stand-alone role with growth potential

• Hybrid working flexibility

• Shape brand identity in AI

• Dynamic startup environment

• Direct alignment with strategy teams

Experience Requirements:

• At least four years of experience in marketing

• Experience in tech, SaaS, or AI environments

• Excellent technical writing skills

• Knowledge of SEO and content strategy

• Social media management experience

Other Requirements:

• Strong knowledge of AI concepts

• Interest in emerging technologies

Responsibilities:

• Take full ownership of the marketing function

• Shape the brand and thought leadership

• Produce LinkedIn posts, case studies, and blogs

• Manage SEO and social media strategy

• Execute webinars and support events

Benefits:

• Flexible hybrid model

• Twice per week in office

• Collaborative stream environment

• Focus on agentic workflows

• Cutting-edge AI application building

Experience Requirements:

• Hands-on experience with Power Apps and Power Automate

• Experience with Dataverse and Copilot Studio

• Ability to translate business needs into solutions

• Familiarity with APIs and Azure services

• Knowledge of ALM practices

Other Requirements:

• Curiosity for AI concepts like RAG and prompt engineering

Responsibilities:

• Design Power Apps and automated workflows

• Build agents in Copilot Studio

• Develop M365 Copilot Extensions

• Contribute to accelerators and reusable components

• Deliver high quality solutions for clients

Benefits:

• Hybrid flexibility

• Lead a world class engineering organization

• Fast growing AI environment

• International project management

• Shape technical strategy

Experience Requirements:

• Senior engineering leadership experience

• Deep knowledge of Azure architecture

• Experience with AI engineering and Microsoft technologies

• Track record of delivering complex solutions at scale

Other Requirements:

• Strong architectural mindset

• Ability to build and mentor high performing teams

Responsibilities:

• Lead low code and pro code engineering streams

• Set technical direction for all solutions

• Own solution architecture across the company

• Ensure DevOps excellence

• Build accelerators and reusable frameworks

Benefits:

• Flexible hybrid model

• Two days in office per week

• International collaboration

• Mentoring opportunities

• Access to emerging AI technologies

Experience Requirements:

• At least three years of experience delivering Microsoft based projects

• Strong communication skills

• Expertise in Copilot and Copilot Studio

• Knowledge of M365 and Power Platform

Other Requirements:

• Relevant certifications

Responsibilities:

• Lead delivery of AI and Microsoft technology projects

• Design and architect solutions

• Guide clients from scoping to implementation

• Deliver workshops and advanced training

• Translate business needs into practical solutions

Benefits:

• Flexible hybrid working model

• In-office twice per week

• Work across Microsoft AI stack

• International team environment

• Collaborative culture

Experience Requirements:

• Strong hands-on experience with Azure AI services

• Experience in cloud engineering

• Programming in Python, TypeScript or C Sharp

• Understanding of microservices and RAG patterns

• API design and CI/CD

Other Requirements:

• Passion for AI engineering

• Problem solving skills

• Continuous learning mindset

Responsibilities:

• Design and build advanced AI agents

• Develop cloud native services and retrieval pipelines

• Build vector based search systems

• Create custom copilots using Azure AI Foundry

• Collaborate with low code teams

Benefits:

• Paid positions

• Hands-on experience

• Dynamic environment

• Learning & Growth

Education Requirements:

• Masters degree in biology, chemistry, computer science, bioinformatics, or data science

Experience Requirements:

• Academic experience or projects that demonstrate your interest

Other Requirements:

• Basic programming skills, preferably in Python

• Strong analytical skills

• Ability to approach problems creatively

• Collaborative mindset

Responsibilities:

• Gain hands-on experience in a dynamic environment

• Contribute to work turning around drugs

• Gain insights into the drug development lifecycle

• Learn how AI techniques are applied to drug safety

Benefits:

• Competitive salary (c. £70-90K)

• Performance-based bonus

• Pension

• Equity

• Vitality health insurance

Experience Requirements:

• Strong Python development experience

• Experience integrating and orchestrating AI/LLM services

• Experience with agent frameworks (Pydantic AI, Langgraph, etc.)

• Experience leading and managing technical teams

• Experience running and evaluating agentic systems in production

Other Requirements:

• Mission-oriented

• Fast learner

• Strong technical communication skills

• Ability to rapidly prototype and iterate quickly

• Familiarity with GCP

Responsibilities:

• Design orchestration architecture for drug redevelopment workflows

• Collaborate with ML researchers to prototype/deploy models

• Build automation and agentic systems

• Work with scientists to ensure tools are robust

• Continuously improve development, testing, and deployment processes

Benefits:

• Competitive pay and equity

• Flexible remote-friendly hours

• Weekly Free lunch noodles

• Weekly gaming and pizza sessions

• Quarterly hackathons

Education Requirements:

• B.S. in Computer Science or equivalent AI-related field experience

Experience Requirements:

• Python Proficiency (Pandas, NumPy, TensorFlow, PyTorch)

• Proven track record in LLM finetuning

• Full-Stack Understanding

• Proven Portfolio of AI-driven products

Other Requirements:

• Growth Mindset

• Ownership Over Impact

• Collaborative Communication

• Bias for Action

• Pragmatic Problem Solver

Responsibilities:

• Integrate AI for immediate, demonstrable client benefits

• Optimize language models (LLM Finetuning)

• Ensure seamless interaction between language models and existing systems

• Analyze evolving business needs and identify new AI-driven features

• Analyze dashboards and customer interactions to improve AI performance

Responsibilities:

• Design the architecture for hosting applications on AWS based on customer needs

• Setup, deploy and manage applications on AWS

• Identify performance bottlenecks and optimize performance

• Implement auto-scaling

• Automate deployments(CI&CD) & other repetitive tasks using shell/Python scripts

Education Requirements:

• Bachelor’s/master’s degree in Business Administration, Engineering, Computer Science, or an equivalent in working experience.

Experience Requirements:

• At least 3 years of experience in product management or project management in complex/matrix environments.

• Prior experience in Conversational AI/Chatbot/SaaS products.

• Product management experience in B2B SaaS.

Other Requirements:

• Excellent communication skills and ability to collaborate with other departmental heads.

• Strong leadership skills with an ability to move peers and juniors.

• High level of analytical and quantitative skills.

• Visionary with high integrity and calmness under pressure.

Responsibilities:

• Oversee the roles and working of other team members in the technical department.

• Oversee the innovation and improvement of the business’s product.

• Spearheading investigation and analyses on the product and the product market.

• Identify and resolve strategic issues impairing the department’s goals.

• Pivotal role in the recruitment and management of new personnel.

Responsibilities:

• Design the architecture for hosting applications on AWS based on customer needs

• Setup, deploy and manage applications on AWS

• Identify performance bottlenecks and optimize performance

• Implement auto-scaling

• Automate deployments(CI&CD) & other repetitive tasks using shell/Python scripts

Benefits:

• Competitive salary

Experience Requirements:

• Excellent programming and software engineering skills in Python, Julia, C++

• Ability to drive software projects from start to finish

• High degree of autonomy and under uncertainty

• Significant technical achievements within ML engineering

Other Requirements:

• Experience in building data dashboards and multimodal data infrastructure is an advantage

• Enthusiastic about making a positive societal impact

Responsibilities:

• Translate research ideas into correct, robust, and scalable high-quality code

• Engage in programming language design/implementation

• Performance engineering and scaling research code

• Algorithm development

• Contribute to the culture and direction of Basis

Benefits:

• Competitive with leading postdoctoral fellowships

• Travel funded by Basis for in-person events

Education Requirements:

• PhD in neuroscience, cognitive science, behavioral science, or AI

Experience Requirements:

• Experience in behavioral modeling using AI/ML techniques

• Experience with multi-agent animal communication or environmental modeling

• Strong programming skills

• Demonstrated track record in scientific research

Other Requirements:

• Willingness to travel periodically for Basis-wide events

Responsibilities:

• Conduct research focused on the Collaborative Intelligent Systems project

• Analyze multi-agent multi-species behavioral data

• Coordinate research with collaborators and core tech team

• Disseminate findings through open-source code and publications

• Provide mentorship to junior team members

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 2-3 Years

Other Requirements:

• Aligned with the belief that everyone is infinitely capable