DeepX

Bookkeeper assistant for UK company - Basic Experience

Search more Bookkeeping jobs Posted 2 days ago Worldwide

A small UK software startup (with Ukrainian origins) is looking for a part-time assistant bookkeeper to help with the periodical reconciliation process and weekly reporting to the management.

Required:

* Written English

* Experience working with Google Docs

* Understanding of basics of the Reconciliation process

* Experience in detail-oriented data entry

Optional:

* Experience with FreeAgent or QuickBooks

* Experience working as a Bookkeeper / other roles in Finance

* Basic understanding of taxation process in UK and USA

* Professional fluency in the Ukrainian language

This is an Entry level periodical job with the potential for additional work in the future.

Thank you

DeepX is looking for a Computer Vision engineer

Core requirements:

* Python development experience

* Knowledge of popular data processing libraries (numpy, pandas, scipy etc)

* GIT, Linux, bash

* Hands-on experience with popular Machine Learning frameworks (OpenCV, Pytorch, Tensorflow, Keras, Yolo)

* Understanding of Computer Vision problem space

* Machine Learning and Artificial Neural Networks fundamentals

* Linux, Docker, gcc/make etc experience

* C++ and C, creating Python C extensions

A bit about DeepX company:

DeepX is an R&D intensive and innovation-driven consortium that provides Artificial Intelligence-powered Computer Vision solutions for businesses.

Please, take a look to find out more about us https://deepxhub.com/

We are a group of enthusiastic adherents who are passionate about the idea of improving this world’s safety by making Computer Vision technologies more advanced. Lifetime learning is our motto, we are admire ambition hard workers who are ready to face new challenges. If you feel like we might be on the same page, please, apply!

DeepX is looking for Computer Vision, ML and LLM engineers.

Please DO NOT respond if you:

* Have no commercial experience of Python, Computer Vision, ML or LLM work. This position is for experienced Middle and Senior level candidates who are able to start working on real projects immediately.

* Are not able to fluently communicate in Ukrainian. Our team communicates in Ukrainian internally and in English externally.

You will work with an experienced ML team that implements challenging and world changing projects for our clients in US, UK and Ukraine. We also have our video analytics platform product.

Core requirements:

* Python development experience

* Knowledge of popular data processing libraries (numpy, pandas, scipy etc)

* GIT, Linux, bash

Nice to have (or able to learn quickly):

* Hands-on experience with popular Machine Learning frameworks (OpenCV, Pytorch, Yolo, Tensorflow)

* Understanding of Computer Vision or LLM problem space

* Machine Learning and Artificial Neural Networks fundamentals

* Linux, Docker, gcc/make etc experience

* C++ and C, creating Python C extensions

DeepX is on a mission to push the boundaries of 3D perception. We’re looking for an experienced Computer Vision Engineer  (3D Reconstruction) who lives and breathes reconstruction pipelines, thrives on geometry challenges, and wants to architect systems that redefine how machines see the world.

This is not a plug-and-play role. You’ll be building the core reconstruction engine that powers our vision products - designing a modular, blazing-fast pipeline where algorithms can be swapped in and out like precision-tuned gears. Think COLMAP on steroids, fused with neural rendering, and optimized for scale.

    Core Tech Stack:

• Languages: C++, Python
• CV/3D Libraries: OpenCV, Open3D, PCL, COLMAP
• Math/Utils: NumPy, Eigen
• Visualization: Plotly, Matplotlib
• Deep Learning: PyTorch, TensorFlow

• Data: Point clouds, meshes, multi-view image sets.
   

  Desired Expertise: 

• Core Expertise: Deep, hands-on knowledge of 3D computer vision fundamentals, including projective geometry, triangulation, transformations, and camera models.
• Algorithm Mastery: Proven experience with point cloud and mesh processing algorithms, such as ICP for registration and refinement.
• Development Experience: Strong software engineering skills, primarily in a Linux environment. Experience deploying applications on Windows (or via WSL) is a major plus.
• Data Handling: Experience managing and analyzing the large datasets typical in 3D reconstruction.
  Projective Geometry Mastery: Camera models, projections, triangulation, multi-sensor fusion.
• Transformations: Rotations, quaternions, coordinate system conversions, 3D frame manipulations.
• SfM & MVS: Proven hands-on with pipelines and dense reconstructions.
• SLAM: Bundle adjustment, pose graph optimization, loop closure.
• Code Craft: Strong software engineering chops - designing modular, performant, production-grade systems.
• Visualization: Proficiency with 3D visualization tools and libraries (e.g., OpenGL, Blender scripting) for rendering and debugging point clouds and meshes.

• Bonus Points:
  - You’ve built a full 3D reconstruction pipeline from scratch.

  - Hands-on with Gaussian Splatting or NeRFs.

  - Experience with SuperGlue or other state-of-the-art feature matching models.

    - Hybrid reconstruction experience: fusing classical geometry      with neural methods.

   - Experience with real-time or streaming reconstruction systems.

   - Familiarity with emerging topics like 3D scene segmentation and the application of LLMs to geometric data.

What You’ll Do:

• End-to-End Pipeline Development: You will architect, build, and deploy a robust, high-performance 3D reconstruction pipeline from multi-view imagery. This includes owning and optimizing all core modules: feature detection, matching, camera pose estimation, SfM, dense stereo (MVS), and mesh/surface generation.
• System Architecture: Design a highly modular and scalable system that allows for interchangeable components, facilitating rapid A/B testing between classical geometric algorithms and modern neural approaches.
• Performance Optimization: Profile and optimize the entire pipeline for low-latency, real-time performance. This involves advanced GPU programming (CUDA/OpenCL), efficient memory management to handle large models, and leveraging modern compute frameworks.
• Research & Integration: Stay at the forefront of academic and industry research. You will be responsible for identifying, implementing, and integrating state-of-the-art methods in SLAM, neural rendering (NeRFs, 3DGS), and hybrid geometry-neural network models.

• Data Management: Develop solutions for handling, processing, and distributing large-scale image and 3D datasets (e.g., using tools like Rclone).
  
  Why Join DeepX?

  This is your chance to own a core engine at the frontier of 3D vision. You’ll be surrounded by a small but elite team, working on real-world deployments where your algorithms won’t just run in benchmarks - they’ll run in airports, mines, logistics hubs, and beyond. If you want your code to shape how machines perceive the world at scale, this is the place.

   

  Sounds like you? -> Let’s talk
  Send us your portfolio, GitHub, or projects - we love seeing real reconstructions more than polished CVs.
   

DeepX is looking for LLM engineer (Middle).
Core Requirements (Must-Haves):

• Mandatory Commercial Experience:

  - If you have a background as a developer (e.g., Python Backend, MLOps, Machine Learning, NLP), you must have at least 1 year of dedicated commercial experience with LLMs.

  - If you started your career directly with LLMs, you must have 1.5-2+ years of commercial experience.
  - Additionally, proficiency in C++ is required.

• Commercial RAG Application: Proven experience implementing RAG (Retrieval-Augmented Generation) solutions in a commercial environment. You should be prepared to discuss in detail which RAG approaches you have used on your projects.
• Deep Technical Knowledge: A fundamental understanding of, and readiness for, a deep technical discussion on topics such as retrieval strategies, data chunking, embeddings, and vector databases.
• Advanced Prompt Engineering: Strong, practical skills in prompt engineering and context engineering, with the ability to discuss your techniques and their impact in detail.

Nice-to-Have:

• Experience working with local or open-source LLMs (e.g., Llama, Mistral).
• Hands-on experience with fine-tuning local LLM models.
• Experience in creating MCP servers.
• Understanding of the A2A (Agent-to-Agent) protocol.
  
  Additional skills:  Qwen, Mistral, Phi, BERT, Transformers, Ollama, vLLM, LoRA,  LLM, NLP, OpenAI, GPT, Anthropic, Claude, Gemini, Gemma, Llama, Mistral, Deepseek,

 Computer Vision Engineer (3D Reconstruction)

DeepX

DeepX is on a mission to push the boundaries of 3D perception. We’re looking for an experienced Computer Vision Engineer  (3D Reconstruction) who lives and breathes reconstruction pipelines, thrives on geometry challenges, and wants to architect systems that redefine how machines see the world.

This is not a plug-and-play role. You’ll be building the core reconstruction engine that powers our vision products - designing a modular, blazing-fast pipeline where algorithms can be swapped in and out like precision-tuned gears. Think COLMAP on steroids, fused with neural rendering, and optimized for scale.

    Core Tech Stack:

• Languages: C++, Python
• CV/3D Libraries: OpenCV, Open3D, PCL, COLMAP
• Math/Utils: NumPy, Eigen
• Visualization: Plotly, Matplotlib
• Deep Learning: PyTorch, TensorFlow

• Data: Point clouds, meshes, multi-view image sets.
   

  Desired Expertise: 

• Core Expertise: Deep, hands-on knowledge of 3D computer vision fundamentals, including projective geometry, triangulation, transformations, and camera models.
• Algorithm Mastery: Proven experience with point cloud and mesh processing algorithms, such as ICP for registration and refinement.
• Development Experience: Strong software engineering skills, primarily in a Linux environment. Experience deploying applications on Windows (or via WSL) is a major plus.
• Data Handling: Experience managing and analyzing the large datasets typical in 3D reconstruction.
  Projective Geometry Mastery: Camera models, projections, triangulation, multi-sensor fusion.
• Transformations: Rotations, quaternions, coordinate system conversions, 3D frame manipulations.
• SfM & MVS: Proven hands-on with pipelines and dense reconstructions.
• SLAM: Bundle adjustment, pose graph optimization, loop closure.
• Code Craft: Strong software engineering chops - designing modular, performant, production-grade systems.
• Visualization: Proficiency with 3D visualization tools and libraries (e.g., OpenGL, Blender scripting) for rendering and debugging point clouds and meshes.

• Bonus Points:
  - You’ve built a full 3D reconstruction pipeline from scratch.

  - Hands-on with Gaussian Splatting or NeRFs.

  - Experience with SuperGlue or other state-of-the-art feature matching models.

    - Hybrid reconstruction experience: fusing classical geometry      with neural methods.

   - Experience with real-time or streaming reconstruction systems.

   - Familiarity with emerging topics like 3D scene segmentation and the application of LLMs to geometric data.

What You’ll Do:

• End-to-End Pipeline Development: You will architect, build, and deploy a robust, high-performance 3D reconstruction pipeline from multi-view imagery. This includes owning and optimizing all core modules: feature detection, matching, camera pose estimation, SfM, dense stereo (MVS), and mesh/surface generation.
• System Architecture: Design a highly modular and scalable system that allows for interchangeable components, facilitating rapid A/B testing between classical geometric algorithms and modern neural approaches.
• Performance Optimization: Profile and optimize the entire pipeline for low-latency, real-time performance. This involves advanced GPU programming (CUDA/OpenCL), efficient memory management to handle large models, and leveraging modern compute frameworks.
• Research & Integration: Stay at the forefront of academic and industry research. You will be responsible for identifying, implementing, and integrating state-of-the-art methods in SLAM, neural rendering (NeRFs, 3DGS), and hybrid geometry-neural network models.

• Data Management: Develop solutions for handling, processing, and distributing large-scale image and 3D datasets (e.g., using tools like Rclone).
  
  Why Join DeepX?

  This is your chance to own a core engine at the frontier of 3D vision. You’ll be surrounded by a small but elite team, working on real-world deployments where your algorithms won’t just run in benchmarks - they’ll run in airports, mines, logistics hubs, and beyond. If you want your code to shape how machines perceive the world at scale, this is the place.

   

  Sounds like you? -> Let’s talk
  Send us your portfolio, GitHub, or projects - we love seeing real reconstructions more than polished CVs.

DeepX is looking for LLM engineer (Middle).
Core Requirements (Must-Haves):

• Mandatory Commercial Experience:
  • If you have a background as a developer (e.g., Python Backend, MLOps, Machine Learning, NLP), you must have at least 1 year of dedicated commercial experience with LLMs.
  • If you started your career directly with LLMs, you must have 1.5-2+ years of commercial experience.
• Commercial RAG Application: Proven experience implementing RAG (Retrieval-Augmented Generation) solutions in a commercial environment. You should be prepared to discuss in detail which RAG approaches you have used on your projects.
• Deep Technical Knowledge: A fundamental understanding of, and readiness for, a deep technical discussion on topics such as retrieval strategies, data chunking, embeddings, and vector databases.
• Advanced Prompt Engineering: Strong, practical skills in prompt engineering and context engineering, with the ability to discuss your techniques and their impact in detail.

Nice-to-Have:

• Experience working with local or open-source LLMs (e.g., Llama, Mistral).
• Hands-on experience with fine-tuning local LLM models.
• Experience in creating MCP servers.
• Understanding of the A2A (Agent-to-Agent) protocol.
  
  Additional skills:  Qwen, Mistral, Phi, BERT, Transformers, Ollama, vLLM, LoRA,  LLM, NLP, OpenAI, GPT, Anthropic, Claude, Gemini, Gemma, Llama, Mistral, Deepseek,

Machine Learning company looking for a Project Manager.

We are waiting for your CV and short video  about your skills up to 2 minutes long ( Ukrainian and English)

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UPD: We will not respond to Telegram and other messengers chats.

Please use Djinni so we can respond to you properly. Thank you.

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You are energetic, love technology and growth and have the following skills:

* Great people management skills

* Great documentation and process building skills

* Quality & Efficiency driven

* Understanding of project management principles in IT / software development (Scrum, Waterfall, Kanban)

* You are not afraid of IT projects documentation and Business Analytics. Gantt Charts, UML, Balsamiq Mockups, Mindmaps and similar are your friends

* Experience with JIRA, wiki-based documentation and other relevant tools

* Fluent written and verbal English

Machine Learning company looking for a HR Manager.

You are energetic, love technology and growth and have the following skills:
* Great people management 
* Great Organisation  and Communication
* HR management
*  HR policies and procedures
*  Onboarding/Offboarding
* Employee relations
* Talent Requisition

Fluent written and spoken English

We are waiting for your CV and short video about your skills up to 2 minutes long ( Ukrainian and English)