Data, AI & Analytics
Machine Learning Engineer Jobs & Careers
Looking for your next Machine Learning Engineer opportunity?
HOK Consulting connects Machine Learning Engineers with organisations building, deploying and scaling intelligent systems and machine learning solutions across permanent, contract and interim opportunities.
Whether your experience covers Python, machine learning, artificial intelligence, Databricks or cloud-based data platforms, explore current opportunities or upload your CV to join HOK’s technology talent network.
Current Machine Learning Engineer Jobs
Explore current Machine Learning Engineer opportunities available through HOK Consulting.
Can’t see the right Machine Learning Engineer role?
If there are currently no suitable Machine Learning Engineer vacancies listed, upload your CV and tell us what you’re looking for. Our team can contact you when a relevant permanent, contract or interim opportunity becomes available.
What Does a Machine Learning Engineer Do?
Machine Learning Engineers design, build and deploy systems that use machine learning models to solve real-world problems and automate data-driven decisions.
The role combines software engineering, data engineering and machine learning, with engineers taking models from experimentation into reliable production environments where they can operate at scale.
Machine Learning Engineers often work alongside Data Scientists, Data Engineers, AI Engineers and cloud teams to develop pipelines, deploy models, monitor performance and ensure machine learning solutions remain reliable and maintainable.
Machine Learning Engineer Skills & Experience
The exact technical requirements vary between organisations, but Machine Learning Engineer roles commonly involve experience across areas such as:
- Machine Learning
- Artificial Intelligence
- Generative AI
- Python
- SQL
- Data Engineering
- Data Science
- Machine Learning Pipelines
- Model Deployment
- Model Monitoring
- MLOps
- Databricks
- Snowflake
- Azure Data Services
- AWS Data Services
- Cloud Data Platforms
- Data Governance
- Data Quality
Machine Learning Engineers may specialise in model deployment, platform engineering, generative AI or particular types of machine learning workloads, while others work across the full lifecycle from experimentation to production.
Strong software engineering and problem-solving skills are particularly important because production machine learning requires reliable code, scalable infrastructure and robust processes around data and model performance.
Typical Machine Learning Engineer Responsibilities
- Building and deploying machine learning models into production
- Developing machine learning pipelines and supporting infrastructure
- Writing reliable and maintainable Python code
- Preparing and transforming data for machine learning workloads
- Integrating models with applications, APIs and data platforms
- Automating model training, testing and deployment processes
- Monitoring model performance and reliability
- Improving the scalability and efficiency of machine learning systems
- Working with cloud-based data and AI platforms
- Supporting data quality, governance and security requirements
- Working with Data Scientists and Data Engineers to productionise models
- Supporting wider artificial intelligence and generative AI initiatives
Responsibilities vary depending on the organisation, machine learning use cases and whether the role focuses on model development, MLOps, AI platforms or production engineering.
Machine Learning Engineer Salary Expectations
Machine Learning Engineer salaries vary according to experience, location, technical specialism, sector and the complexity of the machine learning systems being developed.
Permanent Machine Learning Engineer
Around £70,000 per year
UK median advertised salary
Contract Machine Learning Engineer
Around £550 per day
UK median contract rate
Senior Machine Learning Engineers and professionals with specialist generative AI, MLOps, cloud architecture, financial services or large-scale production machine learning experience may command higher salaries or contract rates.
Salary information is provided as a general UK market guide and can vary significantly between individual roles.
Machine Learning Engineer Career Progression
Machine Learning Engineering can lead into senior engineering, artificial intelligence architecture and wider data and AI leadership positions.
Typical Machine Learning Engineer Career Path
Alternative Career Paths
Machine Learning Engineers may also progress into roles such as:
- AI Engineer
- Data Scientist
- Data Architect
- Machine Learning Lead
- Head of Data
- Chief Data Officer
The right progression depends on whether you want to deepen your machine learning engineering expertise, specialise further in artificial intelligence, move towards architecture or take responsibility for wider data and AI teams.
Your Next Move
Looking for Your Next Machine Learning Engineer Opportunity?
If you’re considering your next permanent position, contract assignment or interim opportunity, send HOK Consulting your CV.
Tell us about the machine learning systems you’ve built, the technologies and platforms you work with and the type of opportunity you’re looking for.
Specialist Recruitment
Data, AI & Analytics Recruitment
Machine Learning Engineering forms part of HOK Consulting’s wider Data, AI & Analytics recruitment expertise, connecting organisations with professionals across data engineering, data science, artificial intelligence, machine learning, business intelligence, analytics and data architecture.
Hiring?
Recruiting Machine Learning Engineers?
HOK Consulting supports organisations looking for experienced Machine Learning Engineers across permanent, contract and interim requirements.
Whether you’re moving machine learning models into production, developing AI platforms, building generative AI capability or scaling a wider data and AI function, speak to HOK about your requirements.