Machine Learning Engineer

3 weeks ago

Exeter, United Kingdom BOWERFORD ASSOCIATES Full time

Working as a **Machine Learning Engineer** you will be responsible for end-to-end model pipelines, from building upon pre-existing image data and labelling pipelines to produce high quality datasets, to monitoring and setting up automated retrainingpipelines, using best practices in Machine Learning Operations (MLOps) and DevOps.

You will be responsible for building and deploying bespoke Computer Vision based Machine Learning (ML) models using an AWS service-led architecture which processes photos from ultra-high-resolution imaging booths. You will be responsible for using Machinelearning (ML) to convert this data into useful information that creates value for customers.

The role is offered on a hybrid basis with some office and some home-based working - it is **NOT** a remote role and therefore you will need to live within a commutable distance of Exeter, Devon, England, to be considered for the vacancy or be in a position to relocate to the area to allow you work at the office each week.

**Duties**

The main deliverables of the role are:

- Deliver performant machine learning models for customers.
- Write production-grade code for serving machine learning models, using industry best practices for model deployment.
- Building capabilities to monitor and evaluate model performance and metrics.
- Train detection, segmentation and/or classification machine learning models.
- Write production, robust, readable and extendable code to support machine learning pipelines.
- Use industry best practices and seek to implement improvements across the machine learning lifecycle (MLOps).
- Support customers with both regular and ad-hoc performance analysis as required.
- Support customer queries, proactively seek technical solutions that solve customer problems and react to customer feedback.
- Developing and championing robust MLOps frameworks and policies.
- Training and maintaining performant vehicle segmentation models.
- Labelling tasks and data quality.
- Designing and implementing reporting dashboards.
- Developing novel approaches from academic and industry research.
- Production model deployment and maintenance.

**Required Skills**:

- Strong knowledge of Python (numpy, pandas, seaborn, matplotlib, dvc, streamlit, opencv).
- Strong knowledge of modern programming paradigms (i.e., OOP, functional programming).
- Ability to write clean, robust, readable, error handling and error tolerant code.
- Good knowledge of at least one of the following, PyTorch, Keras, Tensorflow, Nvidia TAO (TLT).
- Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, RDS, Cloudwatch, Quicksight and others.
- Good knowledge of DevOps and MLOps tools, including usage of Git, Bash, Unix, CI/CD pipelines (GitHub Actions or similar).
- Technical understanding of convolutional neural network architecture (CNNs) including YOLOv4/v5, Detectron2 or similar.
- Able to work effectively both as part of a team and individually.

**Benefits**

Very competitive salary and benefits, including:

- 37.5 hours per week, Monday to Friday (flexible on early/late starts).
- 25 days holiday per annum + bank holidays.
- Life Assurance & Death in Service (4x basic salary).
- Additional days holiday for birthday.
- Company sick pay scheme.
- Cycle to work scheme.
- Electric Vehicle salary sacrifice scheme.
- Enhanced maternity, paternity and shared parental leave.

**KEYWORDS**

Machine Learning Engineer, Machine Learning, Computer Vision, Machine Learning Operations MLOps, DevOps, Python, OOP, Functional Programming, Coding, PyTorch, Keras, Tensorflow, Nvidia TAO, AWS, EC2, ECS, EKS, RDS, Cloudwatch, Quicksight, Neural NetworkArchitecture (CNN)

No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

Bowerford Associates Ltd is acting as an Employment Agency in relation to this vacancy.

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