As a Middle/Senior ML Engineer, you will create and improve ML models, collaborate with teams, maintain production models, and document processes.
Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
- Practical experience with Spark/Dask, Great Expectations.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
Top Skills
AWS
Docker
Llms
Nlp
Python
PyTorch
Rag Architecture
TensorFlow
Similar Jobs
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Responsible for expanding UL's Renewables Advisory business in Spain, managing customer relationships, promoting advisory capabilities, and developing growth strategies.
Top Skills:
Crm SoftwareMS Office
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The AIDR Specialist will drive CrowdStrike's initiatives for securing GenAI and applications, collaborating with sales teams, and advising customers on AIDR products while managing the sales pipeline.
Top Skills:
Ai SecurityApplication SecurityCloud SecurityDevsecopsMeddpiccProduct Security
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a QA Engineer, you'll ensure quality and performance of APIs, design test strategies, create automation suites, and enhance CI/CD pipelines.
Top Skills:
Api TestingAutomation FrameworksGithub ActionsGoJavaScriptJenkinsPostmanPytestPythonRestassured
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
