2562 IT & Software Developer jobs in the UK
Requirements
Must:
- Impactful experience deploying and maintaining ML systems in production, ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments)
- Expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation
- Experience across and understands the full ML lifecycle, able to design for long-term scalability, reliability, and resilience
- Strong programming skills with Python - essential
- Hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn)
- Experience with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), AWS/SageMaker or similar is also valued
- Operated in distributed computing environments, working with large datasets and parallelized processing
- Ability to communicate technical concepts and trade-offs to both technical and non-technical audiences
- Proactive, detail-oriented, and motivated to learn emerging ML engineering tools
- Experience working within cross-functional teams and collaborating across teams
- Keeps abreast of the latest advancements in machine learning engineering, MLOps, and generative AI
- Bachelors, Master’s, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems)
- 3+ years of experience as an ML Engineer, MLOps Engineer, Data Engineer, or similar, in a larger-scale, production-focused environment
- Hands-on with model monitoring, observability, and retraining pipelines
- Exposure to feature stores, registries, and experimentation frameworks
- Familiarity with business-driven metrics and experience balancing ML performance with commercial goals
- Experience with generative AI and LLM frameworks for fine-tuning, evaluation, deployment and serving desirable
Technologies
AI
Airflow
BigQuery
CI/CD
Kubeflow
LLM
Machine Learning
PyTorch
Responsibilities
- Designing, building, and maintaining ML pipelines for training, deployment, monitoring, and retraining at scale
- Working with data scientists to take models from development to production-grade systems, ensuring scalability, reproducibility, and robustness
- Automating feature engineering and data pipeline processes, ensuring reproducibility and auditability
- Implementing monitoring and observability to detect drift, bias, and performance degradation, and setting up rollback/recovery processes
- Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment
- Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster)
- Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience
- Translating model performance into business metrics (e.g., accuracy vs cost/latency trade-offs)
- Monitoring deployed solutions in production and automating retraining as needed
- Sharing knowledge across the data and AI community at Rightmove
Description
At Rightmove, we are committed to giving everyone the belief they can make their move. Our mission is to simplify the moving process by providing the best resources, expertise, and trust necessary to help our users make informed decisions. Based in London, we offer a hybrid working model with two days per week in the office. Our friendly and supportive work culture prioritizes collaboration and employee wellbeing, providing extensive benefits such as a cash plan for health treatments, private medical insurance, generous holiday allowance, pension schemes, and more. Join our dedicated team and help shape the future of property engagement in the UK.
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You can find Machine Learning Engineer salaries in the UK here.
How many Machine Learning Engineer jobs are in the UK?
Currently, there are 2562 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the UK a good place for Machine Learning Engineers?
The UK is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the UK?
Mas & Pas Limited, Drive DeVilbiss Healthcare, Accenture, Eaton, Floor Giants, Bank of England, Sellafield Ltd among others, are currently hiring for ML, AI roles in the UK.
The company with most openings is Experis as they are hiring for 92 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Experis as they are hiring for 92 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.