Job type
ContractLocation
ManchesterWorking Pattern
Full-timeSpecialism
ConsultancyIndustry
Technology & Internet ServicesPay
£600
Machine Learning Engineer | £600 per day | Inside IR35
Duration: Initial 6 months (with strong extension potential)
About the Role
About the Role
We’re working with a leading organisation seeking a skilled Machine Learning Engineer to support the development and deployment of scalable ML solutions.
This is a hands-on contract role, ideal for someone who can take models from concept to production, working closely with data scientists, engineers, and stakeholders to deliver high-impact machine learning capabilities.
Key Responsibilities
- Design, build, and deploy production-grade machine learning models
- Develop and maintain data pipelines and feature engineering workflows
- Collaborate with data scientists to operationalise models and improve performance
- Implement MLOps best practices, including CI/CD, monitoring, and versioning
- Optimise models for scalability, reliability, and performance in production
- Integrate ML solutions into APIs, microservices, and enterprise systems
- Work with large datasets to ensure data quality, validation, and availability
- Monitor models in production and implement retraining and performance tuning pipelines
- Collaborate with cross-functional teams to translate business requirements into ML solutions
Experience Required
- Strong commercial experience (typically 4–8+ years) in machine learning, data engineering, or software engineering
- Proven experience deploying machine learning models into production environments
- Strong hands-on experience with end-to-end ML pipelines (data ingestion → training → deployment → monitoring)
- Experience implementing MLOps practices, including CI/CD pipelines and model life cycle management
- Strong background in data processing and feature engineering
- Experience working with large-scale datasets and distributed data systems
- Experience integrating ML models into APIs, applications, and business systems
- Solid understanding of model evaluation, optimisation, and performance tuning
- Experience working in cloud environments (Azure, AWS, or GCP)
- Proven ability to work in cross-functional agile teams
- Previous contract or consulting experience in enterprise environments is highly desirable.
Key Skills
- Python (essential)
- ML frameworks (Scikit-learn, TensorFlow, PyTorch)
- Data processing tools (Pandas, NumPy)
- SQL / NoSQL databases
- Cloud platforms (Azure, AWS, GCP)
- Docker, Kubernetes (desirable)
- CI/CD and DevOps tooling
Desirable Experience
- Experience with real-time / streaming ML systems
- Familiarity with Databricks, Spark, or big data platforms
- Exposure to LLMs / Generative AI (RAG, embeddings, etc.)
- Experience with feature stores and modern ML tooling (e.g., Feast)
- Knowledge of AI governance and model explainability
- Industry experience in [Finance / Retail / Healthcare – tailor as needed]
What’s on Offer
- Opportunity to work on high-impact machine learning projects
- Collaborative and forward-thinking engineering environment
- Flexible working arrangements
- Competitive day rate with extension potential
Apply Now
If you’re a skilled Machine Learning Engineer looking for your next contract and want to work on meaningful ML solutions, we’d love to hear from you.
