MLOps Engineer (You must have current active SC)

The Company: 

At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.

Job Description:

We are looking for an experienced MLOps Engineer to join our team. The ideal candidate will have a strong background in both machine learning and software engineering. You will work closely with data scientists, machine learning engineers, and DevOps teams to ensure smooth deployment, monitoring, and management of ML models in production environments.

Key Responsibilities:

ML Model Deployment & Automation:

Design, implement, and manage CI/CD pipelines for ML models, ensuring smooth deployment to production environments.

Automate end-to-end machine learning workflows, including data preparation, training, model validation, and deployment.

Collaboration & Communication:

Collaborate with data scientists, machine learning engineers, software developers, and DevOps teams to ensure scalable, reliable, and secure ML model deployments.

Work with cross-functional teams to gather requirements and translate them into technical solutions.

Infrastructure Management:

Set up and maintain cloud-based or on-premise ML infrastructure using platforms like AWS, Azure, GCP, or Kubernetes.

Optimize resource usage and manage costs related to ML workloads.

Monitoring & Maintenance:

Monitor and maintain the health of models in production, ensuring they continue to perform optimally.

Implement and maintain logging, monitoring, and alerting for deployed models to ensure reliability and performance.

Model Versioning & Lifecycle Management:

Manage model versions and ensure reproducibility of experiments and deployments using tools like MLflow, DVC, or similar platforms.

Security & Compliance:

Ensure data privacy, security, and compliance are maintained throughout the ML lifecycle.

Implement best practices for model governance, auditing, and compliance in regulated environments.

Performance Optimization:

Improve the performance and scalability of ML models and workflows by optimizing data pipelines, algorithms, and deployment architectures.

Tooling & Best Practices:

Develop and implement best practices for model development, deployment, and management, leveraging modern MLOps tools like Docker, Kubernetes, MLflow, Airflow, etc.

Qualifications:

Educational Background:

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

Experience:

3+ years of experience in MLOps, DevOps, or software engineering roles with a focus on machine learning or AI.

Strong experience with cloud platforms (AWS, Azure, GCP) and tools for deploying ML models (e.g., SageMaker, TensorFlow Serving, Kubernetes).

Hands-on experience with CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and version control (Git).

Technical Skills:

Proficiency in programming languages such as Python and familiarity with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Experience with infrastructure automation tools such as Terraform or Ansible.

Knowledge of data versioning and tracking tools like MLflow, DVC, or similar.

Experience with monitoring tools like Prometheus, Grafana, or similar.

Diversity & Inclusion:

Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:

Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.

Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.

Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.

By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.

This role at Amber Labs is a Contract position, and all employees are required to meet the Baseline Personnel Security Standard (BPSS). Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.

What Happens Next?

Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.