AI/ML Engineer
TekTronIT LLC
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
£ 71KJob location
Remote
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Big Data
Code Review
Continuous Integration
Distributed Systems
Python
Machine Learning
Natural Language Processing
TensorFlow
Software Engineering
Feature Engineering
Data Ingestion
PyTorch
Large Language Models
Spark
Deep Learning
Keras
GIT
Kubernetes
Machine Learning Operations
Docker
Job description
We are seeking a highly skilled AI / Machine Learning Engineer to join our team on a permanent basis. The successful candidate will be responsible for designing, developing, deploying, and maintaining machine learning and artificial intelligence solutions that support business objectives and drive data-driven decision making.
This is a fully remote role within the UK, open to professionals across a wide range of experience levels, from early-career engineers to senior specialists., * Design, develop, and implement machine learning and AI models for real-world applications
- Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model deployment
- Collaborate with data engineers, product teams, and stakeholders to translate business requirements into AI/ML solutions
- Train, evaluate, tune, and optimise models for performance, scalability, and reliability
- Deploy models into production and support monitoring, retraining, and model lifecycle management
- Apply best practices for model governance, explainability, and responsible AI
- Maintain clear technical documentation and contribute to knowledge sharing
Requirements
- 1 15 years of professional experience in AI, Machine Learning, or related engineering roles
- Strong proficiency in Python
- Solid understanding of machine learning algorithms, statistics, and data modelling
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Keras
- Experience in data preprocessing, feature engineering, and model evaluation
- Strong understanding of software engineering best practices (Git, code reviews, testing)
- Experience deploying ML models into production environments
- Experience with Deep Learning, NLP, Computer Vision, or Large Language Models (LLMs)
- Knowledge of MLOps practices (CI/CD, model monitoring, MLflow, Docker, Kubernetes)
- Experience working with cloud platforms (AWS, Azure, or GCP)
- Familiarity with big data technologies (Spark, distributed computing)
- Understanding of data privacy, security, and GDPR compliance
- Relevant certifications or advanced academic background in AI/ML