What we are looking for
- An excellent communicator – able to communicate technical information succinctly and meaningfully to non-technical colleagues and clients
- A self-starter, comfortable working autonomously when needed and being proactive in getting information to move work along when needed
- Experience in mentoring other team members
- Solid development and data science skills
- Proficiency in Python with PyTorch or Tensorflow, Pandas, NumPy
- Experience in building services using Flask, or similar server-side frameworks.
- A strong understanding of Docker and one of Azure / AWS / GCP cloud technologies.
- Rapid prototyping skills
- Algorithmic and heuristic problem-solving skills
- Knowledge of semantic data models in different domains would be beneficial
- Fluent in spoken and written English
Bonus points, if you have
- NLP knowledge
- Knowledge of Computer Vision problems
- Experience with tools and paradigms like: CI/CD, GitHub Actions, Jenkins, JIRA, MLflow, ClearML, Amazon SageMaker
- Experience with Transformers Architecture, LoRA, QLoRA or other PEFT techniques
About Tangent
At Tangent, we partner with large enterprises from IWG plc to SAP & UK Power Networks, helping them to build future-ready digital experiences, products, and capabilities.
Tangent approaches AI in a pragmatic way, focusing on delivering tangible benefits to our clients. We harness the latest advancements in Machine Learning (ML) to tackle real-world business challenges.
As a 100-strong agency, we excel across a wide range of disciplines including strategy, consultancy, design, engineering, and project management. Our global presence spans offices in London, Valencia, Cape Town, Lahore, Poznan, and Cairo.
Life at Tangent
What we believe
At Tangent we understand people – designing user-centric products and creating high-performing teams.
We are truly committed to protecting our most important asset, the planet. Always seeking to improve our digital footprint and lower carbon emissions.
We make decisions with a purpose in mind. Producing work that is measurable, considered and will drive clients’ businesses forward.
Our strategy is underpinned by our 4 core values:
- Always ask questions
- Listen more than speak
- Own your area
- Strive for better
What we offer
Tangent is not only a fun place to work but also provides a platform for you to grow.
Hybrid working
We understand life is about balance, that’s why we provide the flexibility you need to work in a way that suits you best. You are welcome to work remotely or from our Poznań office.
Enhanced holiday
After two years of service, earn an extra day off each subsequent year, accumulating up to a maximum of 3 additional days. Embrace a well-deserved moment of rest or check something off your life bucket list- it’s totally up to you!
Growth and training
We provide continuous opportunities for improvement and career development. From specific training or qualifications to event attendance, we encourage our teams to stay curious, nurture their skills and reach their ambitions.
At Tangent our aim is to create a working environment where every single member of the team has the opportunity to be themselves. We are an equal opportunities employer and will welcome and consider all applications regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion, sex and sexual orientation.
,[Working on AI projects for our clients, developing solutions based on AI models and services (closed or open source), , Leading and managing multiple project workstreams focused on implementing AI features, ensuring alignment with project goals and timelines , Planning, designing and estimating technical effort , Highlighting technical risks and communicating potential mitigation strategies to a Project Manager to enable them to make informed decisions , Working with non-technical people (business stakeholders, domain experts) to help them understand AI’s potential and limitations and to build tailored solutions based on domain knowledge. , Using LLMs, speech-2-text, text-2-speech, NLP solutions to deliver business value, , Researching and experimenting with latest approaches from the LLM landscape, , Using generative AI to support delivery, write technical and user facing documentation, , Using LLMs and Computer Vision to analyse documents and to turn them into structured data, , Using, modifying and expanding MLOps pipelines, using end-to-end pipelines to train and/or finetune LLM models (from design through development to operations), including but not limited to: , Designing, experimenting with, developing and testing LLM, machine learning and deep learning systems , Preparing datasets and training procedures , Building, configuring, deploying and monitoring ML solutions on production environments hosted in the Cloud , Monitoring and improving performance of AI based solutions .] Requirements: Python, pandas, PyTorch, NumPy, Flask, Docker, Azure, Prototyping, Data models, Data science, NLP, AWS, Computer vision, GitHub, Jenkins, Jira, GCP, MLflow, ClearML, LoRA, CI/CD Tools: . Additionally: Training budget, Small teams, International projects, Enhanced holiday, Flat structure.
Amazon Web Services (AWS) Azure Communication clearml Google Cloud Platform (GCP) Mentoring Docker NumPy lora Team Leader Software Developer computer-vision Natural language processing (NLP) CI/CD pandas Data Science Python GitHub Actions Flask Jira mlflow TensorFlow Jenkins prototyping PyTorch Initiative